JPH11275055A - Transmission rate estimate device and transmission rate estimate method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve the estimate accuracy of a transmission rate. SOLUTION: Reception processing is applied to first data by sequentially using each transmission rata, polarity information of a prescribed number of the 1st data is compared every transmission rate to generate 2nd data, a 1st dissident number is detected, decoded data are generated from 2nd data through Viterbi decoding to detect a maximum likelihood path metric value. A second dissident number is detected by comparing polarity information of coded data which results from convolution-coding decoded data corresponding to the 2nd data and the 2nd data for detecting a 2nd dissident number, a corrected 1st dissident number, a corrected path metric value and a corrected 2nd dissident number are simply compared by estimating a transmission rate based on the 1st dissident number, the path metric value and the 2nd dissident number detected for each transmission rate. Thus, the transmission rate estimate device and the transmission rate estimate method that can easily estimate the transmission rate with high accuracy, while discriminating properly whether or not the Viterbi decoding is correctly conducted are realized.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

[Table of Contents] The present invention will be described in the following order.

BACKGROUND OF THE INVENTION [0002] Means for Solving the Problems [FIG. 1 to FIG. 17] Embodiments of the Invention (1) Configuration of Communication Terminal According to this Embodiment ( (1) (2) Detailed configuration of channel encoder (FIGS. 2 to 4) (3) Detailed configuration of channel decoder (FIGS. 2 and 5) (4) Detailed configuration of data addition processor (FIGS. 6 to 8) (5) Detailed configuration of Viterbi decoder (FIGS. 9 to 12) (6) Estimation of transmission processing speed by data rate estimator (FIG. 13) (7) Estimation processing procedure of transmission processing speed (FIGS. 14 to 17) (8) Operation and effects of this embodiment (FIGS. 1 to 17) (9) Other embodiments (FIGS. 1 to 17) Effects of the invention

[0003]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a transmission rate estimating apparatus and a transmission rate estimating method, and is suitably applied to, for example, a communication terminal of a digital cellular phone system.

[0004]

2. Description of the Related Art In recent years, there is a system called CDMA (Code Division Multiple Access) as a wireless connection system between a base station and a communication terminal constituting a digital cellular phone system.

[0005] The CDMA system is based on the Telecommunications Machinery Industry Association (TIA: Te).
lecommunications Industry Association) (standard IS-95), and one type (for example, about 19200 [bps]) of transmission speed (hereinafter referred to as radio transmission speed) in a radio section between a base station and a communication terminal. )
In the data transmission process inside the communication terminal, a plurality of types (for example, about 9600 [bps], about 4800 [bps], 2400] at 1 / n (n is an arbitrary integer) of the wireless transmission rate are used.
A transmission processing speed corresponding to the line quality and data quality is selected and used from transmission speeds (hereinafter referred to as transmission processing speeds) of about [bps] and 1200 [bps]. Stipulated.

[0006]

By the way, such C
In a communication terminal of a mobile phone system to which the DMA system is applied, at the time of data transmission, the data amount of the data having the transmission processing speed is different for each transmission processing speed used. By performing the processing, data having each transmission processing speed is converted into data having an apparently same data amount, and these are transmitted at one type of wireless transmission speed.

For this reason, in this communication terminal, when data transmitted from another communication terminal via the base station is received, the transmission speed of the received data is the same as the transmission processing speed in the transmission processing. It is necessary to perform processing (hereinafter, referred to as reception processing) corresponding to the reception processing speed at a speed (hereinafter, referred to as reception processing speed).

However, in this communication terminal, during transmission processing, data is transmitted without adding information indicating the content of transmission processing, such as information on transmission processing speed, etc. Reception processing is performed at a reception processing speed that is the same as all transmission processing speeds set to be used for transmission processing, and the transmission processing speed is estimated from data obtained by each of these reception processings,
It has been considered to select data obtained by performing reception processing at a reception processing speed that is the same as the estimated transmission processing speed.

In a communication terminal to which the CDMA system is actually applied, during transmission processing, transmission processing is performed by adding, for example, a CRC (Cyclic Redundancy Check code) as an error detection code to data to be transmitted. It is considered that the transmission processing speed is estimated based on the result of the error detection of the received data during the reception processing.

However, the CRC code generally has a relatively high transmission processing speed (for example, about 9600 [bps] and 4800 [bps].
])) Is added only to data consisting of
A transmission processing speed lower than this transmission processing speed (for example, 24
00 (bps) and 1200 (bps)), the data of about 2400 (bps) and 1200 (bps)
s] is difficult to estimate the transmission processing speed.

In this communication terminal, data to be transmitted is convolutionally encoded and transmitted at the time of transmission processing, and the received data is Viterbi-decoded at the time of reception processing.
It is considered that the transmission processing speed is estimated based on the maximum likelihood path metric value of the data sequence obtained by the Viterbi decoding (a value obtained by quantifying the likelihood of the data sequence obtained by decoding). .

Further, in this communication terminal, at the time of reception processing, the polarity information (“0” or “0”) corresponding to the data before Viterbi decoding and the data obtained by convolutionally encoding data obtained by Viterbi decoding again. "1"), the obtained number of mismatches in the polarity information is estimated as the number of errors occurring in the Viterbi-decoded data, and transmission is performed based on the estimated number of errors (hereinafter referred to as the estimated number of errors). Estimating the processing speed has been considered.

However, in this case, if a relatively large number of errors occur during Viterbi decoding, the maximum likelihood path metric value of the data sequence obtained by this Viterbi decoding is almost the same regardless of the reception processing speed. , And the number of estimated errors may be almost the same. Therefore, there is a problem that the transmission processing speed is erroneously estimated only with the maximum likelihood path metric value or the estimated number of errors.

The present invention has been made in view of the above points, and has as its object to propose a transmission rate estimating apparatus and a transmission rate estimating method capable of improving the accuracy of estimating the transmission rate.

[0015]

According to the present invention, there is provided a transmission rate estimating apparatus which generates first data having a predetermined format from received data and transmits the first data to each transmission. Receiving means for repeatedly transmitting the data one by one sequentially, and sequentially comparing polarity information of one number larger than the corresponding repetition number of the first data for each transmission speed, and And the second data consisting of the selected pieces of polarity information is generated by selecting the most likely one piece of polarity information from the number of pieces of polarity information one greater than the number of repetitions. And Viterbi decoding of the second data for each transmission rate to generate decoded data, and to detect the maximum likelihood path metric value by the Viterbi decoding. The detection means compares the corresponding polarity information between the second data obtained for each transmission rate and the coded data obtained by convolutionally coding the corresponding decoded data. A number of mismatches detecting means for detecting the number of mismatches, and a predetermined ratio according to each transmission rate, the information amount of the first number of mismatches, the path metric value and the amount of second mismatch detected for each transmission rate. And a transmission rate estimating means for estimating the transmission rate of the transmission processing of the received data based on the corrected first mismatch number, the path metric value, and the second mismatch number.

As a result, the corrected first mismatch number,
By simply comparing the path metric value and the second number of mismatches, it is possible to easily determine whether the Viterbi decoding has been performed correctly, reduce the erroneous estimation of the transmission rate used in the transmission processing, and easily increase the transmission rate. Can be estimated.

According to the present invention, in the transmission rate estimating method, first data having a predetermined format is generated from received data, and the first data is repeatedly transmitted using each transmission rate one by one sequentially. The receiving step and the polarity information of one number greater than the corresponding repetition number of the first data for each transmission rate are sequentially compared to detect the first mismatch number between the polarity information and to calculate the first mismatch number. A first mismatch number detection step for selecting the most probable polarity information from one more polarity information to generate second data composed of the selected polarity information, and for each transmission speed Each of the second data is Viterbi-decoded to generate decoded data, a maximum likelihood detection step for detecting the maximum likelihood path metric value by the Viterbi decoding, and A second polarity detecting unit compares the obtained second data with the corresponding pieces of polarity information of the coded data obtained by convolutionally coding the corresponding decoded data, and detects a second number of mismatches between the pieces of polarity information. And the first number of mismatches detected for each transmission rate,
The information amount of the path metric value and the second mismatch number is corrected at a predetermined ratio according to each transmission rate, and the received information is received based on the corrected first mismatch number, path metric value and second mismatch number. A transmission speed estimation step for estimating the transmission speed of the data transmission process is provided.

As a result, the corrected first mismatch number,
By simply comparing the path metric value and the second number of mismatches, it is possible to easily determine whether the Viterbi decoding has been performed correctly, reduce the erroneous estimation of the transmission rate used in the transmission processing, and easily increase the transmission rate. Can be estimated.

[0019]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described below in detail with reference to the drawings.

(1) Configuration of Communication Terminal According to the Present Embodiment In FIG. 1, reference numeral 1 denotes a communication terminal to which the present invention is applied as a whole, and sound is collected by a microphone 2 during a call. The user's voice is converted into a voice signal S1 and transmitted to the handset 3, and the voice signal S1 is interface-converted by the handset 3 and transmitted to the voice codec 4.

The voice codec 4 detects the line quality, the quality of the voice signal S1, and the like, and sets the transmission processing speed of the voice signal S1 to a predetermined value, for example, 96, based on the obtained detection result.
One of four types, about 00 [bps], about 4800 [bps], about 2400 [bps] and about 1200 [bps], is sequentially selected and switched.

Each time the audio codec 4 selects and switches the transmission processing speed, the audio codec 4 digitizes the audio signal S1 having the selected transmission processing speed, and converts the obtained audio data D1 to the channel encoder 6 of the channel codec 5. Send out.

Each time the voice codec 4 selects and switches the transmission processing speed, the voice codec 4 generates speed information data D2 representing the selected transmission processing speed.
To send to.

The controller 7 controls the control data D3 according to the transmission processing speed obtained based on the speed information data D2.
And sends it to the channel encoder 6, thereby controlling the channel encoder 6 to perform transmission processing according to the transmission processing speed sequentially selected.

The channel encoder 6 includes a controller 7
Under the control of the controller 7
After adding the communication control data D4 given by the convolutional coding, the data is converted into a predetermined data format, and the obtained converted data D5 is transmitted to the transmitter 8.

The transmitter 8 is provided with a frequency control signal S2 for controlling the transmission frequency from the synthesizer 9, modulates the conversion data D5 in a predetermined format based on the frequency control signal S2, and converts the obtained transmission data D6. The signal is transmitted to the base station (not shown) in bursts (for example, one cycle is about 20 [msec]) at a wireless transmission rate of about 19200 [bps] via the duplexer 10 and the antenna 11 sequentially.

At this time, from a base station (not shown),
The transmission data D described above by another communication terminal (not shown)
Approximately 9600 [bps], 4800 [bps], 2400
Data obtained by transmission processing at a transmission processing speed of about [bps] or 1200 [bps] is transmitted in bursts (for example, one cycle of about 20 [msec]) at a wireless transmission rate of about 19200 [bps]. The communication terminal 1 receives the data transmitted from the base station (hereinafter referred to as received data) D
7 is received by the receiver 12 via the antenna 11 and the duplexer 10 sequentially.

The receiver 12 is provided with a frequency control signal S3 for controlling the reception frequency from the synthesizer 9,
Based on the frequency control signal S3, the reception data D7
Is demodulated in a predetermined format to obtain demodulated data D8.
To the channel decoder 13.

The channel decoder 13 is connected to the controller 7
The entire demodulation data D8 is controlled based on the control data D9 given by the demodulator from the 9600 [bps] which is the same as the transmission processing speed.
), About 4800 (bps), about 2400 (bps) and 120
While transmitting at all four types of reception processing speeds of about 0 [bps], reception processing corresponding to the reception processing speed is performed.

In this case, the channel decoder 13 converts the demodulated data D8 into a predetermined format corresponding to the four types of reception processing speeds, corrects the error by Viterbi decoding, and decodes the data, thereby generating four types of decoded data. .

In addition, the channel decoder 13 estimates the transmission processing speed at the time of transmission processing for the demodulated data D8 from various information obtained by performing the reception processing on the demodulated data D8 according to the four types of reception processing speeds. Then, of these decoded data, the decoded data obtained by performing the reception processing at the reception processing speed that is the same as the estimated transmission processing speed is selected.

The channel decoder 13 sends the voice data D10 corresponding to the voice of the other party constituting the selected decoded data to the voice codec 4, and transmits the communication control data D11 forming the decoded data to the controller 7. Send out.

The voice codec 4 converts the voice data D10 into an analog signal on the basis of a control signal S4 given from the controller 7, converts the obtained voice signal S5 into an interface via the handset 3, and sends it to the speaker 14.
The sound based on the sound signal S5 is output from the speaker 14.

In this way, the communication terminal 1
4 can generate the voice of the other party, thus enabling the user to make a voice call with the other party.

By the way, when transmitting data, the controller 7
It generates communication control data D4 to be added to the voice data D1, decodes the communication control data D11 given from the channel decoder 13 at the time of data reception, executes setting, release and maintenance of the call, and executes key / display 15 It executes I / O control and further controls a synthesizer 9 for controlling a transmission frequency and a reception frequency.

(2) Detailed Configuration of Channel Encoder As shown in FIGS. 2 and 3 where parts corresponding to those in FIG. 1 are denoted by the same reference numerals, in the channel encoder 6, when transmitting data, the audio codecs 4 to 9600 are used. When audio data D1 having a transmission processing speed of about [bps] is provided, the process shifts to the first transmission processing mode based on the control data D3 supplied from the controller 7, and the 9600 [bps]
Transmission processing according to the transmission processing speed of about 4800 [bps], and when the audio data D1 having the transmission processing speed of about 4800 [bps] is given from the speech codec 4, the control data D3 given from the controller 7 is used. Then, the mode is shifted to the second transmission processing mode, and the transmission processing corresponding to the transmission processing speed of about 4800 [bps] is performed.

In the channel encoder 6, when audio data D1 having a transmission processing speed of about 2400 [bps] is supplied from the audio codec 4, the third data is provided based on the control data D3 supplied from the controller 7. When the mode is shifted to the transmission processing mode and the transmission processing corresponding to the transmission processing speed of about 2400 [bps] is performed and the audio data D1 having the transmission processing speed of about 1200 [bps] is given from the audio codec 4, Controller 7
Based on the control data D3 given by the controller, the processing shifts to the fourth transmission processing mode, and the transmission processing is performed according to the transmission processing speed of about 1200 [bps].

In the channel encoder 6, the audio data D1 output from the audio codec 4 is supplied to the CRC generator 20.

In the first transmission processing mode, the CRC generator 20 receives a 9600 signal from the voice codec 4.
Audio data D1 having a transmission processing speed of about [bps]
The communication control data D4 given from the controller 7
Is added to generate original data of 172 bits in total, and the following equation (1) is obtained from the generated original data.

[0040]

(Equation 1)

Using the generator polynomial G1 (x) expressed by
A 12-bit CRC code is generated and added to this original data to generate 184-bit data.

The CRC generator 20 generates 192 bits of code-added data D15 by adding an 8-bit tail bit of "0" to the 184 bits of data, and sends it to the convolutional encoder 21. .

In the second transmission processing mode, the CRC generator 20 receives 4800 from the voice codec 4.
Audio data D1 having a transmission processing speed of about [bps]
The communication control data D4 given from the controller 7
Is added to generate original data of a total of 80 bits, and from the generated original data, the following equation (2) is used.

[0044]

(Equation 2)

An 8-bit CRC code is generated by using the generator polynomial G2 (x) expressed by the following formula, and is added to the original data to generate 88-bit data.

Then, the CRC generator 20 sets the 88
An 8-bit tail bit of "0" is added to the bit data to generate 96-bit code-added data D16.
This is sent to the convolutional encoder 21.

Further, the CRC generator 20 is supplied from the voice codec 24 in the third transmission processing mode.
Audio data D1 having a transmission processing speed of about 00 [bps]
The communication control data D4 given from the controller 7
Is added to generate original data of a total of 40 bits, and an 8-bit tail bit of "0" is added to the generated original data to generate 48-bit code-added data D17. To the embedded encoder 21.

Further, the CRC generator 20 is supplied from the voice codec 4 in the fourth transmission processing mode.
Audio data D1 having a transmission processing speed of about 00 [bps]
The communication control data D4 given from the controller 7
To generate a total of 16 bits of original data, and a tail bit having an 8-bit data amount of "0" is added to the generated original data to generate 24-bit code-added data D18. Are transmitted to the convolutional encoder 21.

The convolutional encoder 21 outputs the sign additional data D1
The constraint length k set in advance every time 5-D18 is given
Based on the coding rate R (set to 1/2 in this embodiment) and the coding rate R (set to 1/2 in this embodiment), the code added data D15 to D18 are convolved from the initial value of "0". The encoded data D19 to D22 obtained by encoding are sent to the data repeater 22.

In practice, in the first transmission processing mode, the convolutional encoder 21 generates 384-symbol encoded data D19 from 192-bit encoded data D15 having a transmission processing speed of about 9600 [bps]. At the same time, in the second transmission processing mode, 192 symbols of encoded data D20 are generated from the 96-bit code additional data D16 having a transmission processing speed of about 4800 [bps].

In the third transmission processing mode, the convolutional encoder 21 generates coded data D21 of 96 symbols from the 48-bit code addition data D17 having a transmission processing speed of about 2400 [bps]. In addition, in the fourth transmission processing mode, the transmission processing speed is about 1200 [bps].
48-symbol encoded data D22 is generated from the bit sign additional data D18.

In the data repeater 22, the number of data repetitions is set in advance for each of the first to fourth transmission processing modes, and in the first transmission processing mode, 9600 [bps].
The 384-symbol coded data D19 having a transmission processing speed of about 192 is transmitted to the interleaver 23 as repetitive data D23 without repeating, and in the second transmission processing mode, the transmission processing speed of about 4800 [bps] is obtained. The 384-symbol repetition data D24 is generated by repeating the one-symbol data once from the symbol code addition data D20 once (that is, the same data continues two by two), and is transmitted to the interleaver 23.

In the third transmission processing mode, the data repeater 22 repeats one symbol data three times sequentially from the coded data D21 of 96 symbols having a transmission processing speed of about 2400 [bps] ( That is, the same data is repeated four times at a time.) 384-symbol repetition data D25 is generated and sent to the interleaver 23. In the fourth transmission processing mode, 48 symbols having a transmission processing speed of about 1200 [bps] are used. Encoded data D2
Data of one symbol is sequentially repeated from 2 seven times (that is, the same data continues eight by two) to generate repetition data D26 of 384 symbols, and this is sent to the interleaver 23.

In this way, the data repeater 22
Encoded data D20 to D22 having transmission processing speeds of about 00 [bps], about 2400 [bps] and about 1200 [bps].
9600 [bp]
s], and is converted into repetition data D24 to D26 having the same symbol length as the repetition data D23 of 384 symbols having a transmission processing speed of about s!

Interleaver 23 interleaves repetitive data D23 to D26 in accordance with a preset data format regardless of the first to fourth transmission processing modes, and obtains 384 symbol conversion data D5 obtained by the transmitter. 8
To send to.

By the way, as shown in FIG. 4, the transmitter 8 modulates the converted data D5 every 384 symbols.
Transmission data D6 having a data amount of one cycle (about 20 [msec]) is sequentially obtained and transmitted in a burst at a wireless transmission speed of about 19200 [bps].

At this time, the transmitter 8 switches the transmission output of the transmission data D6 for each transmission processing speed, and transmits the transmission data D6 having a transmission processing speed of about 9600 [bps]. Based on the output, transmission data D6 each having a transmission processing speed of about 4800 [bps] is transmitted at a transmission output of about 1/2 of a reference transmission output (hereinafter referred to as a reference transmission output). The transmission data D6 having a transmission processing speed of about 2400 [bps] is transmitted at a transmission output of about 1/4 of the reference transmission output, and the transmission data D6 having a transmission processing speed of about 1200 [bps] is the same as the reference transmission output. Transmission is performed with a transmission output of about 1/8.

(3) Detailed Configuration of Channel Decoder On the other hand, in FIGS. 2 and 5 in which parts corresponding to those in FIG. 1 are denoted by the same reference numerals, in the channel decoder 13, when receiving data, D7 is sequentially demodulated so as to obtain polarity information ("0" or "1") for each symbol data and reliability information representing the reliability of the polarity information in a numerical form, and obtains, for example, 16-value soft decision. Demodulated data D8 composed of data is provided to deinterleaver 25.

The deinterleaver 25 has a storage unit (not shown) provided therein, and sequentially stores the demodulated data D8 in the storage unit in units of a 384 symbol length (a data amount for one cycle during transmission). At the same time, the stored demodulated data D8 having a length of 384 symbols is about 9600 [bps] and 4800 [bps].
), 2400 (bps) and 1200 (bps)
Read out while deinterleaving according to a predetermined data format at all reception processing speeds (ie, 3
One demodulated data D8 having a length of 84 symbols is read four times at different reception processing speeds), and the thus obtained 384-symbol 16-value soft decision data D28 (hereinafter referred to as first soft decision data) D28 is added. It is sent to the processor 26.

The data addition processor 26 converts the first soft-decision data D28 (384 symbols) into 16-valued soft-decision data (a predetermined number of symbols before the data of one symbol is repeated a predetermined number of times at each reception processing speed). Hereinafter, this data will be referred to as second soft decision data) D29 to D32 are generated. When the first soft decision data D28 having a reception processing speed of about 9600 [bps] is given, The first soft decision data D28 is sent as it is to the Viterbi decoder 27 as second soft decision data D29.

The data addition processor 26 outputs 4800 [bps
] Soft decision data D having a reception processing speed of
28, the first soft decision data D28
From the second soft decision data D30 of 192 symbols, and sends it to the Viterbi decoder 27. At this time, the polarity information of every two symbols is sequentially compared from the head of the first soft decision data D28, The obtained comparison result is sent to the data rate estimator 28 as the polarity comparison data D33A.

Further, the data addition processor 26 has 2400 [bp]
s] of the first soft decision data D
28, the first soft decision data D28
To generate second soft decision data D31 of 96 symbols from
This is sent to the Viterbi decoder 27, and at this time, the polarity information of every four symbols is sequentially compared from the beginning of the first soft decision data D28, and the obtained comparison result is used as the polarity comparison data D33B as the data rate estimator 28. To send to.

Further, the data addition processor 26 outputs 1200 [bp
s] of the first soft decision data D
28, the first soft decision data D28
To generate second soft decision data D32 of 48 symbols from
This is sent to the Viterbi decoder 27. At this time, the polarity information of every eight symbols is sequentially compared from the beginning of the first soft decision data D28, and the obtained comparison result is used as the polarity comparison data D33C as the data rate estimator 28. To send to.

The Viterbi decoder 27 performs the maximum likelihood decoding in which the constraint length k is set to 9 and the coding rate R is set to 1/2 using the Viterbi algorithm for the second soft decision data D29 to D32, respectively. And the four first types thus obtained
To the fourth decoded data D35 to D38 (removing tail bits) to the error detector 29.

Incidentally, the Viterbi decoder 27 has 9600 [bp]
s], the 184-bit first decoded data D35 is generated from the 384-symbol second soft-decision data D29 having the reception processing speed of about 192 bits, and the second 192-symbol second data of 192 symbols having the reception processing rate of about 4800 [bps] is generated. Soft decision data D30
From the second soft decision data D31 of 96 symbols having a reception processing speed of about 2400 [bps] to generate the third decoded data D37 of 40 bits. And 16 bits of fourth decoded data D38 from 48 symbols of second soft decision data D32 given at a reception processing speed of about 1200 [bps].

At this time, the Viterbi decoder 27 outputs second soft decision data D29 to D29 having four types of reception processing speeds.
The maximum likelihood path metric values respectively obtained by the decoding processing of No. 32 and the maximum likelihood path metric data D39A to D3
9D and the estimated error number is estimated error number data D40A.
These are sent to the data rate estimator 28 as .about.D40D.

The error detector 29 detects an error in the first decoded data D35 having a reception processing speed of about 9600 [bps] using the generator polynomial G1 (x) shown in the above equation (1), and performs the error detection. The result is sent to the data rate estimator 28 as the error detection data D42A, and at the same time, the portion of the first decoded data D35 where the CRC code is presumed to be added is removed, and the first 172-bit data thus obtained is obtained. Is transmitted to the data selector 30.

The error detector 29 detects an error in the second decoded data D36 having a reception processing speed of about 4800 [bps] using the generator polynomial G2 (x) shown in the above equation (2). The check result is sent to the data rate estimator 28 as the error detection data D42B, and the data of the portion to which the CRC code is presumed to be added is removed from the second decoded data D36, and the 80-bit data obtained in this way is obtained. The second original data D45 is sent to the data selector 30.

Further, the error detector 29 outputs the third decoded data D37 and the third decoded data D37 having a reception processing speed of about 2400 [bps].
The fourth decoded data D38 having a reception processing speed of about 1200 [bps] is directly sent to the data selector 30 as third and fourth original data D46 and D47.

Here, the data rate estimator 28 calculates the polarity comparison data D33A to D33C, the maximum likelihood path metric data D39A to D39D, and the estimated error number data D40A, which are given by four types of reception processing on the demodulated data D8 of 384 symbols. To D40D and error detection data D42A
And 384 symbols of demodulated data D8 based on
The transmission processing speed at the time of the transmission processing is estimated, and the estimation result is sent to the data selector 30 and the controller 7 as the estimated speed data D48.

The data rate estimator 28 includes polarity comparison data D33A to D33C, maximum likelihood path metric data D39A to D39D, and estimated error number data D40A to D40.
The first original data D4 obtained by the reception processing according to the reception processing speed that is the same as the estimated transmission processing speed based on the 40D and the error detection data D42A and 42B.
4. It is estimated whether an error has occurred in the second original data D45, the third original data D46 or the fourth original data D47.

The data rate estimator 28 generates an error in the first original data D44, the second original data D45, the third original data D46 or the fourth original data D47 based on the judgment result. If it is estimated that the received data has not been received, processing success data D50 indicating that the reception processing was successful is sent to the controller 7, and the first original data D44, the second original data D45, 3
If it is presumed that an error has occurred in the original data D46 or the fourth original data D47, processing failure data D51 indicating that the reception processing has failed is sent to the controller 7.

As a result, based on the estimated speed data D48, the data selector 30 sets the same as the estimated transmission processing speed among the corresponding one set (four types) of the first to fourth original data D44 to D47. One first original data D4 obtained by performing reception processing at the reception processing speed
4. Select the second original data D45, third original data D46 or fourth original data D47, and select the selected first original data D44, second original data D45, third original data D46 or The audio data D10 constituting the fourth original data D47 is sent to the audio codec 4 and the communication control data D11 is sent to the controller 7.

The controller 7 sets the processing success data D
When 50 is given, the first raw data D44, the second raw data D45, the third raw data D46 or the fourth raw data D47 are applied to the audio codec 4 at the same speed as the estimated transmission processing speed. A control signal S4A is sent out so as to perform processing at the reception processing speed, and when the processing failure data D51 is given thereto, for example, the first original data D44, the second original data D45, the control signal S4B for stopping the processing of only the third original data D46 or the fourth original data D47 (that is, not giving the processing to the handset 3) is transmitted and controlled.

However, at this time, if the estimated transmission processing speed is, for example, about 1200 [bps], the corresponding fourth original data D47 often has no sound. Fourth original data D
For example, the fourth original data D47 in the past is processed again and transmitted to the fourth original data D47, or the fourth original data D4
The noise is prevented from being generated during a call by, for example, causing a mute during the processing required for the processing in step S7.

When the processing failure data D51 is given, the controller 7 retransmits the first soft decision data D28 whose reception processing has failed to the deinterleaver 25 so that the first soft decision data D28 can be retransmitted from the deinterleaver 25 as necessary. The request signal S10 can also be sent.

(4) Detailed Configuration of Data Addition Processor Here, as shown in FIGS. 6, 7 and 8, the data addition processor 26 first outputs the first soft decision data output from the deinterleaver 25. D28 is given to the polarity determiner 33.

In this case, in the first soft decision data D28 (FIG. 7), the data of each symbol (384 symbols) is composed of 4-bit data (bit 0 to bit 3), and the most significant of the 4-bit data. The polarity information of “0” or “1” is represented by a bit (bit 3), and the lower 3 bits (bi)
The reliability of this polarity information is represented by t2 to bit0). That is, for example, if the line quality of a wireless section or the like is relatively high, the possibility that an error has occurred in the data is relatively low, indicating a highly reliable (High) state. If the line quality is relatively low, the data is relatively low. Represents a low reliability (Low) state because the possibility that an error has occurred is relatively high.

In the first soft decision data D28, when the polarity information is "0", the lower three bits are "11".
"1" indicates the highest reliability (High), and the lower three bits "000" indicate the lowest reliability (Low). When the polarity information is “1”, the lower three bits are “00”.
"0" indicates the highest reliability (High), and the lower three bits indicate "111", indicating the lowest reliability (Low).

The polarity determiner 33 (FIG. 6)
When given first soft decision data D28 having a reception processing speed of about [bps], the first soft decision data D28
28 is sequentially transmitted to the data comparator 34 and the addition / subtraction unit 35 as information data D53 for each symbol data.

In this case, the data comparator 34 extracts the polarity information consisting of the most significant bit from the information data D53 and sends it to the Viterbi decoder 27 as the polarity information data D53A, and the addition / subtraction unit 35 outputs the information data D5.
The reliability information consisting of the lower 3 bits is taken out from 3 and sent to the Viterbi decoder 27 as reliability information data D53A. In this manner, the data addition processor 26
The first soft decision data D28 having a reception processing speed of about 00 [bps] is sent to the Viterbi decoder 27 as the second soft decision data D29 as it is.

When the first soft decision data D28 having a reception processing speed of about 4800 [bps], about 2400 [bps] and about 1200 [bps] is given, the polarity judgment unit 33 outputs the first soft decision data D28. It is determined whether the polarity information of the data of each symbol of the soft decision data D28 is “0” or “1”, and based on the determination result, when the polarity information is “1”, the data of the corresponding one symbol is determined. The value of the lower 3 bits (reliability information) is inverted (ie, from "0" to "1").
Or from "1" to "0"), and when the polarity information is "0" based on the determination result, the value of the lower 3 bits of the corresponding one symbol data is not inverted (FIG. 8). Are output sequentially as information data for each data of one symbol.

In practice, the polarity judging unit 33 outputs 4800 [bps
] Soft decision data D having a reception processing speed of
28, the first soft decision data D28
It is determined whether the polarity information is “0” or “1”, and a process is performed to invert the value of the reliability information as needed (hereinafter, this is referred to as an inversion process). It is determined that the data of the odd-numbered one symbol from the head of the first soft decision data to be repeated is the data that is the source of repetition during the transmission processing, and the data of the odd-numbered one symbol is held as the forward dimension information data D54A. 36, and it is determined that the even-numbered one-symbol data from the beginning is data that is repeated during the transmission process, and the even-numbered one-symbol data is sequentially repeated as data information D54B. And to the adder / subtractor 35.

When the first soft decision data D28 having a reception processing speed of about 2400 [bps] is given, the polarity determiner 33 inverts the first soft decision data D28, From the top of the obtained first soft decision data, the following equation (3)

[0085]

(Equation 3)

The data of the na-th one symbol represented by
, And 3 following the original information data D54A.
The symbol data is repeated by repeating the information data D54B.
To the data comparator 34 and the addition / subtraction unit 35 in sequence.

Further, when the first soft decision data D28 having a reception processing speed of about 1200 [bps] is given, the polarity determinator 33 inverts the first soft decision data D28, From the top of the obtained first soft decision data, the following equation (4)

[0088]

(Equation 4)

The data of one nb-th symbol represented by
, And 7 following the original information data D54A.
The symbol data is repeated by repeating the information data D54B.
To the data comparator 34 and the addition / subtraction unit 35.

The data hold 36 stores the original information data D5
4A is held once, and the first repeated information data D54B immediately following the original information data D54A is given to the data comparator 34 and the addition / subtraction unit 35, respectively. And to the adder / subtractor 35.

The data comparator 34 receives the original information data D54
A and the most significant bit of the repetition information data D54B are compared with the three least significant bits, respectively. When the values of the compared most significant bits match, the original information data D5
4A is output as new polarity information data D55A representing new polarity information (that is, one polarity information is obtained from two pieces of polarity information), and the original information data D54A and the repetition information are sent to the addition / subtraction unit 35. Data D54
Addition control data D56 for adding the lower 3 bits with B
Is sent.

When the compared most significant bits do not match, the data comparator 34 compares the corresponding lower three bits with each other, and stores the original information data D54A or the repeated information data in which the lower three bits of high reliability are stored. The value of the most significant bit of D54B is output as new polarity information data D55A, and the original information data D54A is supplied to the addition / subtraction unit 35.
And the repetition information data D54B, subtraction control data D57 for subtracting the value of the lower three bits less reliable from the value of the lower three bits more reliable from the lower three bits of the repetition information data D54B.

Further, each time the comparison process for the first soft decision data D28 of 384 symbols is completed, the data comparator 34 determines that the most significant bits compared during the comparison process (that is, the polarity information) do not match. Natsume number (hereinafter,
This is referred to as the number of polarity mismatches).
3A-D33C, which is then referred to as the data rate estimator 28.
To send to.

The adder / subtractor 35 adds the add control data D 56 or the subtract control data D given from the data comparator 34.
57, the lower 3 bits of the original information data D54A and the repetition information data D54B are subjected to addition processing or subtraction processing, thereby obtaining new one reliability information from two pieces of reliability information. The new reliability information data D55
Output as B.

Incidentally, when the addition result obtained by adding the reliability information during data processing on the first soft decision data D28 of 384 symbols overflows, the addition / subtraction unit 35 limits the overflowed addition result to a limiter. Processing is performed and fixed at a preset maximum value.

Thus, in the data addition processor 26, when the first soft decision data D28 having a reception processing speed of about 4800 [bps] is given, the data comparator 34
By repeating the above-described data processing by the addition / subtraction unit 35, one most probable polarity information is sequentially selected from the data of two symbols, and one most probable reliability information for the polarity information is generated. These are sent to the Viterbi decoder 27 as new polarity information data D55A and new reliability information data D55B, respectively.

Thus, in this data addition processor 26,
From the first soft decision data D28 of 384 symbols having a reception processing speed of about 4800 [bps], each symbol data is a second 192 symbol of new polarity information data D55A and corresponding new reliability information data D55B. The soft decision data D30 is generated.

In the data addition processor 26, 2400 [bp]
s] and the first soft decision data D28 having a reception processing speed of about 1200 [bps], the original information data D54A is supplied from the data comparator 34 and the addition / subtraction unit 35.
Then, new polarity information data D55A and new reliability information data D55B obtained by data processing with the first repeated information data D54B following this are sent to the data hold 36 and once held.

The data hold 36 is transmitted from the polarity determinator 33 to the data comparator 34 and the addition / subtraction unit 35, respectively, for the second repetitive information data D54A following the original information data D54A.
When 54B is given, the new polarity information data D55A and the new reliability information data D55B held are sent to the data comparator 34 and the addition / subtraction unit 35.

As a result, the data comparator 34 compares the above-described original information data D54A with the first repeated information data D54A.
54B, the new polarity information data D
One new polarity information data D55A is generated again from the 55A, the new reliability information data D55B, and the second repeated information data D54B, and sent to the data hold 36.

The adder / subtracter 35 also performs the new reliability information data D55B in the same manner as the data processing of the original information data D54A and the first repeated information data D54B.
Then, one new reliability information data D55B is generated again from the second repetition information data D54B and sent to the data hold 36.

The data hold 36 includes a data comparator 34
And the new polarity information data D55A and the new reliability information data D55B newly given from the addition / subtraction unit 35 to the data comparison unit 34 and the addition / subtraction unit 35, respectively.
Hold until the third repeat information data D54B following 54A is given.

In the data addition processor 26, the repeated information data D54B located at the end of the repeated information data D54B successively following the original information data D54A is compared with the data comparator 34 and the addition subtractor 35.
, The repetition information data D54B in the data comparator 34, the new polarity information data D55A and the new reliability information data D55 generated in the immediately preceding data processing.
55B, the new polarity information data D55A is generated again.
4B and the new reliability information data D55B generated in the immediately preceding data processing, the new reliability information data D55B is generated again.

In the data adder 26, the data comparator 34 and the adder / subtractor 35 receive the repetition information data D54B located at the end of the repetition information data D54B following the original information data D54A.
As a result, when the new polarity information data D55A and the new reliability information data D55B are generated again, they are sent to the Viterbi decoder 27.

As described above, in the data addition processor 26, when the first soft decision data D28 having the reception processing speed of about 2400 [bps] is given, one polarity which is most likely from the data of four symbols is sequentially obtained. In addition to selecting the information, one of the most probable pieces of reliability information for the polarity information is generated and sent to the Viterbi decoder 27 as new polarity information data D55A and new reliability information data D55B, respectively.

Thus, in this data addition processor 26,
From the first soft decision data D28 of 384 symbols having a reception processing speed of about 2400 [bps], the data of each symbol is the second of 96 symbols consisting of the new polarity information data D55A and the corresponding new reliability information data D55B. The soft decision data D31 is generated.

In the data addition processor 26, 1200
When the first soft decision data D28 having a reception processing speed of about [bps] is given, one most probable polarity information is sequentially selected from the data of eight symbols, and one most probable one for this polarity information is selected. The reliability information is generated and sent to the Viterbi decoder 27 as new polarity information data D55A and new reliability information data D55B, respectively.

Thus, in this data addition processor 26,
From the first soft decision data D28 of 384 symbols having a reception processing speed of about 1200 [bps], data of each symbol is a second symbol of 48 symbols composed of new polarity information data D55A and corresponding new reliability information data D55B. The soft decision data D32 is generated.

(5) Detailed Configuration of Viterbi Decoder Here, as shown in FIG. 9 and FIG.
Then, the second soft decision data D29 to D32 output from the data addition processor 26 are supplied to the branch metric calculation circuit 38 and the data error number estimation circuit 39.

The branch metric operation circuit 38 is provided with the second
The metric value (probability) of which the polarity information is "0" and the metric value of which the polarity information is "1" are obtained from the data of one symbol sequentially from the soft decision data D29 to D32. Incidentally, the metric values (BM0 and BM1) whose polarity information is "0" and "1" are represented as hexadecimal numbers from "0" to "F", for example, where "0" is the most likely value (see FIG. 10).

The branch metric operation circuit 38
Indicates that the data of two symbols sequentially from the top of the second soft decision data D29 to D32 are (0, 0), (0, 1), respectively.
Metric values (ie, branch metric values) B, which are four types of code patterns (1, 0) and (1, 1)
M (0,0), BM (0,1), BM (1,0) and B
M (1,1) is calculated by the following equation (5).

[0112]

(Equation 5)

The four types of branch metric values, which are calculated by the metric operation formula expressed by the following equation, and thus sequentially obtained for every two symbol data, are obtained by the metric value data D59.
To the ACS (Add Compare Select) operation circuit 40.

However, the branch metric value is represented by BM0 (A), which is a metric value of “0” obtained from the data of the leading one symbol among the data of two symbols.
The metric value of "1" is represented as BM1 (A), the metric value of "0" obtained from the data of one symbol is represented as BM0 (B), and the metric value of "1" is represented as BM1 ( B).

The ACS operation circuit 40 determines the maximum likelihood path among the two paths that transition from a previous time to a plurality of states at each time (hereinafter referred to as states) based on a so-called trellis diagram. You have been made to choose. By the way, in the trellis diagram in which the constraint length K is set to 9, the following equation (6)

[0116]

(Equation 6)

There are 256 independent states represented by

Accordingly, the ACS operation circuit 40 outputs the four types of branch metric values BM (0,0), BM (0,1), BM (1,0) and BM (1,0) from the branch metric operation circuit 38. Every time the metric value data D59 representing 1) is given, the metric value of the path at the previous time (hereinafter, referred to as a path metric value) is read out as metric data D60 based on the read signal S11 from the path metric storage unit 41.

The ACS operation circuit 40 calculates the current time 256 based on the metric value data D59 given from the branch metric operation circuit 38 and the metric data D60 at the previous time read from the path metric storage unit 41. The path with the maximum likelihood is selected (selection of the surviving path) from the two paths that transition to the state from the previous time, the path metric value of the selected path is calculated, and the obtained path metric value is converted to metric data D6.
The value is set to 0 and sent to the path metric storage unit 41 for storage.

The ACS operation circuit 40 sends the metric data D60 to the maximum likelihood detector 42 and also outputs the path selection information data D61 representing the selected path (ie, the state of the selected path before transition). It is sent to the path selection information storage unit 43 and stored.

To actually obtain the path metric value in this way, for example, 256 states are obtained by using a two-digit hexadecimal number (from "00" to "FF") and calculating a new value (new) at the current time. ) State and the state at the previous time (old) are respectively “00 (new)” to “FF (new)” and “00 (old)” to “FF (ol).
d) ”, and the new path metric value in the 256 states and the path metric value at the previous time are respectively changed from“ S00 (new) ”to“ SFF (ne
w) ”and“ S00 (old) ”to“ SFF (old
)), And considering the path selection in the new state of “00 (new)”, the state of “00 (new)” is changed from the state of “00 (old)” at the previous time by (0). , 0) and the path that resulted in the code pattern “80”
The transition from the state of (old) ”to the path in which the code pattern of (1, 1) has occurred is made.

Accordingly, the maximum likelihood path metric value “S00 (new)” in the state “00 (new)” at the current time is obtained.
) "Is the branch metric value BM (0, 0), BM
(0, 1), BM (1, 0) and BM (1, 1), and the path metric values “S00 (old)” and “S8” at the previous time.
0 (old) ”and the following equation (7)

[0123]

(Equation 7)

It can be obtained by an arithmetic expression expressed by Thus, in each of the 256 states at the current time, it can be sequentially obtained by using the equation (7). However, since the maximum likelihood state of the path metric value is represented by “0”, the metric value (probability) decreases as the value becomes larger than “0”.

The maximum likelihood detector 42 receives one maximum likelihood path metric value (that is, one path metric value) from the path metric values corresponding to the 256 states each time the ACS operation circuit 40 supplies the metric data D60 for 256 states. , A path metric value having the smallest value) and sends it to the data estimating circuit 44 as the maximum likelihood metric data D63 together with the corresponding state number.

The maximum likelihood detector 42 determines the maximum likelihood obtained only when one maximum likelihood path metric value is selected from the metric data D60 for the last 256 states for one second soft decision data D29. Likelihood metric data D
63 is sent to the data estimation circuit 44, and the maximum likelihood path metric data D39A to D39D representing the selected maximum likelihood path metric value is sent to the data rate estimator 28.

Each time the maximum likelihood metric data D63 is given, the data estimating circuit 44 reads out the read signal S1 based on the state number represented by the maximum likelihood metric data D63.
2 and sends it to the path selection information storage unit 43.
The surviving paths sequentially transition to the state immediately before this state, and all the states that have passed through the path selection data 6
Read as 5.

Thus, the data estimation circuit 44 estimates (executes maximum likelihood decoding) the decoded data based on the sequentially supplied maximum likelihood metric data D63 and the corresponding path selection data D65. To the fourth decoded data D35 to D38 by a data error number estimating circuit 39.
And to the error detector 29.

Here, the data error number estimating circuit 39 uses the first
To the fourth decoded data D35 to D38 by convolutional coding;
The coded data thus obtained is compared with the corresponding second soft decision data D29 to D32 to detect the estimated error number of the data, and to estimate the estimated error number data D40A to D40D representing the detection result to estimate the data rate. To the container 28.

As shown in FIGS. 11 and 12, in the data error number estimation circuit 39, the first to fourth decoded data D35 to D38 have the constraint length K set to 9 and the coding rate R Is given to the convolutional encoder 46 set to １ ／, and the convolutional encoder 46 convolutionally encodes the first to fourth decoded data D35 to D38 to obtain encoded data D67. The comparison circuit 47 is provided.

That is, the convolutional encoder 46 is, for example, an eight-stage delay circuit (DFF) 50A constituting a shift register.
To 50H, the first to fourth decoded data D35 to D38
Are sequentially delayed by one bit for a predetermined time, and the first adder 5
According to 1, the following equation (8) is obtained.

[0132]

(Equation 8)

[0133] The first to fourth data of 1 bit of decoded data D35~D38 applied to the convolutional encoder 46 based on the generator polynomial G ₀ represented by (hereinafter referred to as an input data to this) and , Delay circuits 50A, 50B, 50C,
50E, 50G and adds the 1 bit of data output from 50H, sends out a first addition data G ₀ obtained by this comparison circuit 47, the following equation by the second adder 52 (9 )

[0134]

(Equation 9)

[0135] and the input data on the basis of the generator polynomial G ₁ represented by the delay circuit 50B, 50C, 50D and 50H
And 1-bit data respectively output from
Comparing the second addition data G ₁ obtained by this circuit 4
7

As described above, the convolutional encoder 46 performs the first
The first to fourth decoded data D35 to D38 are convolutionally encoded so as to sequentially generate two bits of data for one bit of the fourth to fourth decoded data D35 to D38 (FIG. 11). .

In the data error number estimating circuit 39, the second
Is given to the storage circuit 53, and the storage circuit 53 stores the second soft decision data D2
Only storing sequentially first polarity information data symbols from the head of 9～D32, corresponding in synchronization with the first addition data G ₀ and the second and added data G ₁ sequentially output from convolutional encoder 46 Are sequentially transmitted to the comparison circuit 47 as polarity information data D68.

The comparison circuit 47 compares the value (“0” or “1”) represented by the corresponding first addition data G ₀ and the polarity information data D 68 which are given in synchronization with each other, and the second addition data G ₁ and the corresponding polarity information data D
The value ("0" or "1") represented by the data 68 is compared with each other, and the mismatch data D69 indicating the result of the mismatch is sent to the counter 54 each time the result of the mismatch is obtained.

The counter 54 counts each time the mismatch data D69 is supplied.
About (bps), about 4800 (bps), about 2400 (bps),
The second soft decision data D29 to about 1200 [bps]
D32 and the corresponding first to fourth decoded data D35 to D35
When the comparison of the polarity information with the data 38 is completed, the count value at this time (that is, the first to fourth decoded data D35 to D35)
38 is sent to the data rate estimator 28 as estimated error number data D40A to D40D.

(6) Estimation of Transmission Processing Speed by Data Rate Estimator Here, the number of mismatched polarities, the maximum likelihood path metric value, the number of estimated errors, and the error detection used when estimating the transmission processing speed in the data rate estimator 28. The detection result will be described.

In this case, the polarity mismatch is caused by the fact that the polarity information (“0” or “1”) that continues beyond one repetition range of the polarity information is relatively small and that the speed is lower than the transmission processing speed. This occurs when the processing speed is used or when the first soft decision data D28 has a relatively large number of errors.

The maximum likelihood path metric value is such that the line state of the Viterbi decoder 27 (hereinafter simply referred to as the line state) can be obtained with almost no error in the polarity information of the second soft decision data D29 to D32. In the case of relatively high reception data D7, reception data D7 having relatively high reliability is attenuated by being subjected to reception processing at a reception processing speed that is higher than the transmission processing speed actually used. Very low second
Is relatively small (i.e., the likelihood is relatively high) when the soft decision data D29 to D32 are obtained.

On the other hand, the maximum likelihood path metric value is
A case where a relatively large number of errors occur in the polarity information of the second soft decision data D29 to D32 and the line state in which the branch metric value is different from the actual value is relatively poor,
Reception data D7 having relatively low reliability is subjected to reception processing at a reception processing speed lower than the transmission processing speed actually used, and as a result, second soft decision data D29 to D32 having relatively high reliability are obtained. Is obtained, and when the second soft-decision data D29 to D32 are Viterbi-decoded at a reception processing speed higher than the transmission processing speed actually used, the continuity ("0" or In the case of a code pattern in which loss of “1” is liable to occur, the value is relatively large (that is, the probability is relatively low).

Further, the estimated number of errors is such that the quality of the transmission path from Viterbi decoding of the second soft decision data D29 to D32 to convolutional coding is relatively high, and errors in the polarity information are relatively small. The second case is obtained by using a relatively low speed (lower than about 9600 bps) reception processing speed.
Becomes relatively small in the case where the same polarity information is continuous in the soft decision data D30 to D32.

On the other hand, the estimated error number is such that the quality of the transmission path from Viterbi decoding of the second soft decision data D29 to D32 to convolutional coding is relatively low, and the polarity information is relatively low. The value becomes relatively large when many errors occur or when the reception processing is performed at a reception processing speed different from the actually used transmission processing speed.

The detection result of the error detection indicates that when the line condition is relatively good and the first and second decoded data D35 and D36 have almost no error, the reception processing speed becomes the same as the transmission processing speed. The first obtained by receiving
Alternatively, it indicates that almost no error has occurred in the second decoded data D35 or D36, and the first or second data obtained by performing the reception processing at a reception processing speed different from the transmission processing speed is obtained. Of decoded data D35 or D3 of
6 indicates that an error has occurred.

On the other hand, the detection result of the error detection indicates that the line condition is relatively poor and the first or second decoded data D35
Or, when an error has occurred in D36, an error has occurred in the first or second decoded data D35 or D36 obtained by performing reception processing at the reception processing speed that is the same as the transmission processing speed. That no error has occurred in the first or second decoded data D35 or D36 obtained by performing reception processing at a reception processing speed different from the transmission processing speed. May be represented.

The data rate estimator 28 calculates the number of mismatched polarities, the maximum likelihood path metric value, and the number of estimated errors as:
Each of the four types of reception processing speeds can be obtained by a different number of arithmetic processings (that is, because the data is repeated at the transmission processing speed) according to the reception processing speeds, and thus the data amounts are different. However, it cannot simply be compared in the transmission processing speed estimation processing.

Accordingly, when the number of mismatched polarities, the maximum likelihood path metric value, and the number of estimated errors are given by the reception processing corresponding to the four types of reception processing rates, the data rate estimator 28 determines the transmission processing rate. Prior to the estimation process, the data amount of the number of mismatched polarities, the maximum likelihood path metric value, and the number of estimated errors are corrected.

That is, as shown in FIG. 13, the number of polarity mismatches is determined by the polarity obtained by the reception processing corresponding to the reception processing speed of about 4800 [bps] (hereinafter referred to as the second reception processing). And the number of inconsistencies in the polarities obtained by the reception processing corresponding to the reception processing speed of about 2400 [bps] (hereinafter referred to as the third reception processing) and 1200 [bps]
], The ratio of the data amount to the number of inconsistencies of the polarities obtained by the receiving process corresponding to the receiving speed (hereinafter referred to as the fourth receiving process) is about 1: 2: 4.

Accordingly, the data rate estimator 28 uses the number of polarity mismatches obtained by the second reception processing by four times and uses the number of polarity mismatches obtained by the third reception processing by two. The number of times of polarity mismatch obtained by the fourth receiving process is used as it is.

The maximum likelihood path metric value is 9600 [bp
s] and the maximum likelihood path metric value obtained by the reception processing corresponding to the reception processing speed (hereinafter referred to as the first reception processing) and the maximum likelihood obtained by the second reception processing. The data amount ratio of the path metric value, the maximum likelihood path metric value obtained by the third reception process, and the maximum likelihood path metric value obtained by the fourth reception process is 8: 4: 2: 1. About.

Therefore, the data rate estimator 28 uses the maximum likelihood path metric value obtained by the first reception processing as it is, and doubles the maximum likelihood path metric value obtained by the second reception processing. The maximum likelihood path metric value obtained by the third reception processing is quadrupled and used, and the maximum likelihood path metric value obtained by the fourth reception processing is multiplied by eight.

Further, the estimated error number is obtained by the first receiving process, the estimated error number obtained by the second receiving process, and the estimated error number obtained by the third receiving process. The ratio of the data amount between the number of errors and the estimated number of errors obtained by the fourth reception processing is about 8: 4: 2: 1.

Therefore, the data rate estimator 28 uses the number of estimated errors obtained by the first reception processing as it is, and calculates the number of errors estimated by the second reception processing by two.
The number of estimated errors obtained by the third receiving process is quadrupled and the number of estimated errors obtained by the fourth receiving process is quadrupled.

(7) Transmission processing speed estimation processing procedure Here, the data rate estimator 28 actually sets the demodulated data D8
From the polarity comparison data D
33A to D33C, maximum likelihood path metric data D39A
To D39D, estimated error number data D40A to D40D, and error detection data D42A and D42B. These polarity comparison data D33A to D33C, maximum likelihood path metric data D39A to D39D, and estimated error number data D40
When A to D40D are respectively corrected, the transmission processing speed estimation processing procedure RT1 shown in FIGS. 14 to 17 is started, and the process proceeds from step SP1 to step SP2.

In this case, the data rate estimator 28 determines whether or not an error has occurred in the corresponding first decoded data D35 based on the error detection data D42A in step SP2.

Obtaining a positive result in step SP2 indicates that no error has occurred in the first decoded data D35. In this case, the data rate estimator 28 proceeds to step SP3 and outputs the error detection data D42B. Based on this, it is determined whether or not an error has occurred in the corresponding second decoded data D36.

Obtaining a positive result in step SP3 indicates that no error has occurred in the second decoded data D36, and in this case, the data rate estimator 28 proceeds to step SP4 and estimates the error number data D40A. (Hereinafter, referred to as first corrected estimated error number data) is smaller than the value obtained by correcting the estimated error number data D40B (hereinafter, referred to as second corrected estimated error number data). Determine if it is a value.

Obtaining an affirmative result in step SP4 means that the value of the first corrected estimated error number data is smaller than the value of the second corrected estimated error number data, and the Viterbi decoding in the first reception processing is the second. 2 means that the transmission processing speed to be estimated is likely to be about 9600 [bps]. In this case, the data rate estimator 28
Step SP5 to determine whether the error detection result in the first receiving process is a correct result.
The first correction estimation error number data is set in advance.
It is determined whether or not the value is smaller than a first threshold value represented by hexadecimal number, for example, 45.

Obtaining an affirmative result in step SP5 means that the value of the first corrected estimated error number data is smaller than the first threshold value, so that Viterbi decoding in the first reception processing is correctly performed. This means that the possibility that the transmission processing speed to be estimated as a result is about 9600 [bps] has further increased. In this case, the data rate estimator 28 proceeds to step SP6 and proceeds to the second correction estimation error number data. And a value obtained by correcting the estimated error number data D40C (hereinafter referred to as third corrected estimated error number data).
And the value obtained by correcting the estimated error number data D40D (hereinafter, referred to as second corrected estimated error number data), the one with the smallest value is subtracted from the first corrected estimated error number data to obtain It is determined whether or not the value of the subtraction result obtained is smaller than a second threshold value represented by a predetermined hexadecimal number, for example, 20.

Obtaining a positive result in step SP5 means that the detection result of the error detection in the first reception processing is correct, and that the first reception processing has been correctly performed. The speed estimator 28 proceeds to step SP7, estimates that the transmission processing speed actually used in the transmission processing is about 9600 [bps], and that no error has occurred in the first original data D44. Then, the process proceeds to step SP8 to end the transmission processing speed estimation processing procedure RT1.

On the other hand, obtaining a negative result in step SP2 means that the transmission processing speed to be estimated is about 9600 [bps] because an error has occurred in the first decoded data D35. Means that the probability is low, in which case the data rate estimator 28
Proceeding to 9, it is determined whether an error has occurred in the corresponding second decoded data D36 based on the error detection data D42B.

Obtaining a positive result in step SP9 means that the transmission processing speed to be estimated is 48 because the second decoded data D36 has no error.
In this case, the data rate estimator 28 determines in step SP10 to determine whether or not the error detection result in the second reception processing is a correct result. The second correction estimation error number data is represented by a preset hexadecimal number, for example, 47
It is determined whether the value is smaller than the third threshold value.

Obtaining a positive result in step SP10 means that Viterbi decoding in the second reception processing is correctly performed because the value of the second corrected estimated error number data is smaller than the third threshold value. This means that the possibility that the transmission processing speed to be estimated as a result is about 4800 [bps] is further increased. In this case, the data rate estimator 28 proceeds to step SP11 and proceeds to the first corrected estimated error number data. And third corrected estimated error number data;
Is subtracted from the second corrected estimated error number data, and the value of the obtained subtraction result is smaller than the second threshold value. Judge.

Obtaining a positive result in step SP11 means that the detection result of the error detection in the second reception processing is correct and that the second reception processing was correctly performed. The speed estimator 28
Proceeding to step SP12, it is estimated that the transmission processing speed actually used in the transmission processing is about 4800 [bps], and that no error has occurred in the second original data D45. To end the transmission processing speed estimation processing procedure RT1.

Incidentally, obtaining a negative result in step SP3 described above means that an error has occurred in the second decoded data D36 obtained by the second reception processing. The speed estimator 28 proceeds to step SP5.

Obtaining a negative result in step SP4 means that the value of the first corrected estimated error number data is larger than the value of the second corrected estimated error number data, so that the value is smaller than the Viterbi decoding in the first reception processing. Viterbi decoding in the second reception process is performed correctly, and as a result, the transmission processing speed to be estimated is 4800, which is about 9600 [bps].
[Bps], which means that the data rate estimator 28 proceeds to step SP10.

Further, step SP5 and step SP6
Obtaining a negative result in the above means that Viterbi decoding in the first reception processing has not been correctly performed, and in this case, the data rate estimator 28 proceeds to step SP13.

Further, obtaining a negative result in step SP9 means that an error has occurred in the second decoded data D36, and obtaining a negative result in step SP10 and step SP11 means obtaining the negative result in the second reception data D36. This means that the Viterbi decoding in the processing has not been performed correctly, and in this case, the data rate estimator 28
Proceed to P13.

Here, in step SP13, the data rate estimator 28 determines the reception processing speed (hereinafter, referred to as the second data) corresponding to the smallest value among the first to fourth corrected error count data. Is called the reception processing speed).

Thereafter, the data rate estimator 28 proceeds to step SP14 and the second reception processing rate is set to 9600 [bps].
] Is determined, and step SP14 is performed.
If a positive result is obtained in step (i.e., the second reception processing speed is about 9600 [bps]), the process proceeds to step SP15, where the transmission processing speed actually used in the transmission processing is 9600 [bps].
[Bps], but based on the negative result of step SP5 or step SP6, the first
It is presumed that an error has occurred in the original data D44, and thereafter, the process proceeds to step SP8 to terminate the transmission processing speed estimation processing procedure RT1.

On the other hand, the data rate estimator 28
If a negative result is obtained in step SP14, the process proceeds to step SP16, where the second reception processing speed is 4800 [bps].
s]), and determines in step SP16
If a positive result is obtained in step (i.e., the second reception processing speed is about 4800 [bps]), the process proceeds to step SP17, where the transmission processing speed actually used for transmission processing is 4800 [bps].
[Bps], it is estimated that an error has occurred in the second original data D45 based on the negative result of step SP9, step SP10 or step SP11, and thereafter, the process proceeds to step SP8. The transmission processing speed estimation processing procedure RT1 ends.

When the data rate estimator 28 obtains a negative result in step SP16, it returns to step SP16.
The program proceeds to step 18 where it is determined whether or not the second reception processing speed is about 2400 [bps]. If a positive result is obtained at step SP18 (that is, the second reception processing speed is 2400 [bps]).
Proceeding to step SP19, it is determined whether or not the value of the third corrected estimated error number data is smaller than the second threshold value.

Obtaining a positive result in step SP19 means that Viterbi decoding in the third reception processing was correctly performed because the value of the third corrected estimated error number data is smaller than the second threshold value. In this case, the data rate estimator 28 proceeds to step SP20 and determines that the transmission processing speed actually used for the transmission processing is 2400 [bps].
It is estimated that an error has occurred in the third original data D46, and thereafter, the process proceeds to step SP8 to terminate the transmission processing speed estimation processing procedure RT1.

On the other hand, obtaining a negative result in step SP19 means that Viterbi decoding in the third receiving process is correctly performed because the value of the third corrected estimated error number data is larger than the second threshold value. In this case, the data rate estimator 28 proceeds to step SP21 and sets the value of the third corrected estimated error number data to a value slightly larger than the second threshold value. It is determined whether the value is smaller than a fourth threshold value represented by a set hexadecimal number, for example, 30.

Obtaining a positive result in step SP21 means that the value of the third corrected estimated error number data is within an allowable range in which the transmission processing speed can be estimated based on the third corrected estimated error number data. In this case, the data rate estimator 28 proceeds to step SP22 and estimates that the transmission processing speed actually used for the transmission processing is about 2400 [bps], but an error is found in the third original data D46. It is presumed that the transmission has occurred, and thereafter, the process proceeds to step SP8 to end the transmission processing speed estimation processing procedure RT1.

On the other hand, obtaining a negative result in step SP21 means that the transmission processing speed to be estimated is 2400 [because the value of the third corrected error estimation data is larger than the fourth threshold value. bps], the data rate estimator 28 proceeds to step SP23 and the value of the third corrected estimated error number data is further larger than the fourth threshold value. It is determined whether the value is smaller than a fifth threshold value, for example, 40 represented by a preset hexadecimal number.

Obtaining a positive result in step SP23 means that the transmission processing speed to be estimated is about 2400 [bps] because the value of the third corrected estimated error data is smaller than the fifth threshold value. In this case, the data rate estimator 28 proceeds to step SP24, and the data rate estimator 28 corresponds to the smallest value among the corrected values of the four types of maximum likelihood path metric data D39A to D39D. It is determined whether or not the receiving processing speed to be performed (hereinafter, referred to as a third receiving processing speed) is about 2400 [bps].

If the data rate estimator 28 obtains a positive result in this step SP24 (that is, the third
Although the reception processing speed is about 2400 [bps], the process proceeds to step SP25, and it is estimated that the transmission processing speed actually used for the transmission processing is about 2400 [bps].
It is presumed that an error has occurred in the original data D46, and thereafter, the processing proceeds to step SP8, where the transmission processing speed estimation processing procedure R
End T1.

If the data rate estimator 28 obtains a negative result in step SP23 or step SP24, the transmission processing speed to be estimated is 2400 [bps].
], And proceeds to step SP26 to determine whether the third reception processing speed is about 9600 [bps].

If the data rate estimator 28 obtains an affirmative result in step SP26 (that is, the third reception processing speed is about 9600 [bps]), it proceeds to step SP27 and uses it at the time of actual transmission processing. Although the estimated transmission processing speed is estimated to be about 9600 [bps], it is estimated that an error has occurred in the first original data D44 based on the negative result of the above-mentioned step SP5 or step SP6, and thereafter the step is performed. Proceeding to SP8, the transmission processing speed estimation processing procedure RT1 ends.

On the other hand, the data rate estimator 28
If a negative result is obtained in step SP26, the process proceeds to step SP28 and the third reception processing speed is set to 4800 [bps].
] Is determined.

The data rate estimator 28 determines in step S
If a positive result is obtained in P28 (that is, the third reception processing speed is about 4800 [bps]), step SP2 is executed.
9 and the transmission processing speed actually used for the transmission processing
Although it is estimated to be about 4800 [bps], step SP9, step SP10 or step SP11 described above is performed.
It is presumed that an error has occurred in the second original data D45 based on the negative result of the above, and thereafter, the process proceeds to step SP8, and the transmission processing speed estimation processing procedure RT1 is ended.

If the data rate estimator 28 obtains a negative result in step SP28, the data rate estimator 28 proceeds to step SP30 because the transmission processing speed to be estimated may be about 1200 [bps]. Whether the value obtained by correcting the comparison data D33D (hereinafter, referred to as fourth correction polarity comparison data) is a value smaller than a sixth threshold value, for example, 50 represented by a hexadecimal number set in advance. Determine whether or not.

Obtaining an affirmative result in step SP30 means that the value of the fourth correction polarity comparison data is smaller than the sixth threshold value, so that the first soft reception speed of about 1200 [bps] is obtained. This means that the repetition pattern of the polarity information in the determination data D28 is relatively close to the repetition pattern of the polarity information in the repetition data D26 having a transmission processing speed of about 1200 [bps]. In this case, the data rate estimator 28 uses the step SP31. The transmission processing speed actually used for the transmission processing is 1200 [bps]
It is estimated that it will be about.

However, in this case, the data rate estimator 28
Since the smallest value among the first to fourth corrected estimated error data is the third corrected estimated error data (step SP18 described above), in this step SP31, the Viterbi decoding in the fourth reception processing is performed. Since it is determined that the processing has not been performed correctly, it is estimated that an error has occurred in the fourth original data D47, and thereafter, the process proceeds to step SP8, and the transmission processing speed estimation processing procedure RT1 ends.

Obtaining a negative result in step SP30 means that the value of the fourth correction polarity comparison data is larger than the sixth threshold value, and the first processing speed of about 1200 [bps] is obtained. This means that the repetition pattern of the polarity information in the soft decision data D28 is different from the repetition pattern of the polarity information in the repetition data D25 having a transmission processing speed of about 1200 [bps]. In this case, the data rate estimator 28 uses the step SP32 It is estimated that the transmission processing speed actually used for the transmission processing is about 2400 [bps] based on the affirmative result of step SP18 described above, but it is determined that an error has occurred in the third original data D46. Then, the process proceeds to step SP8 to end the transmission processing speed estimation processing procedure RT1.

Here, obtaining a negative result in step SP18 means that the second reception processing speed is 1200 [bp]
s], and in this case, the data rate estimator 28 proceeds to step SP33 to determine whether or not the value of the fourth corrected estimated error number data is smaller than the second threshold value. Judge.

Obtaining a positive result in step SP33 means that Viterbi decoding in the fourth reception process was correctly performed because the value of the fourth corrected estimated error number data is smaller than the second threshold value. In this case, the data rate estimator 28 proceeds to step SP34 and determines that the transmission processing speed actually used for the transmission processing is 1200 [bps].
And it is estimated that no error has occurred in the fourth original data D47.
To end the transmission processing speed estimation processing procedure RT1.

On the other hand, obtaining a negative result in step SP33 means that the transmission processing speed to be estimated because the value of the fourth correction error count data is larger than the second threshold value is 1200 [ bps], the data rate estimator 2
8 proceeds to step SP35 to determine whether or not the value of the fourth corrected estimated error number data is smaller than the fourth threshold value.

To obtain a positive result in this step SP35 (the value of the fourth corrected estimated error number data is smaller than the fourth threshold value), the value of the fourth corrected estimated error number data becomes 4 means that the transmission processing speed is within an allowable range in which the transmission processing speed can be estimated based on the corrected estimation error number data. In this case, the data rate estimator 28
Proceeding to 36, it is estimated that the transmission processing speed actually used for the transmission processing is about 1200 [bps], but it is presumed that an error has occurred in the fourth original data D47, and thereafter, the processing proceeds to step SP8. Transmission processing speed estimation processing procedure RT1
To end.

On the other hand, obtaining a negative result in step SP35 means that the transmission processing speed to be estimated because the value of the fourth correction error count data is larger than the fourth threshold value is 1200 [ bps], the data rate estimator 28 proceeds to step SP37 and sets the third reception processing speed to 9600 [bps].
] Is determined.

If the data rate estimator 28 obtains an affirmative result in this step SP37 (ie, the third
Although the reception processing speed is about 9600 [bps], the process proceeds to step SP38, and it is estimated that the transmission processing speed actually used for the transmission processing is about 9600 [bps], but the above-described step SP5 or step SP6 is performed. Based on the negative result, it is estimated that an error has occurred in the first original data D44, and thereafter, the process proceeds to step SP8 to end the transmission processing speed estimation processing procedure RT1.

On the other hand, the data rate estimator 28
If a negative result is obtained in step SP37, the process proceeds to step SP39 and the third reception processing speed is set to 4800 [bps].
] Is determined, and the process proceeds to step SP39.
If a positive result is obtained in step (i.e., the third reception processing speed is about 4800 [bps]), the flow advances to step SP40 to correct the polarity comparison data D33B (hereinafter referred to as the second corrected polarity comparison data). Is determined to be smaller than a seventh threshold value, for example, 130 represented by a preset hexadecimal number.

Obtaining an affirmative result in step SP40 means that the value of the second corrected polarity comparison data is smaller than the seventh threshold value, and the first soft polarity having a reception processing speed of about 4800 [bps] is obtained. This means that the repetition pattern of the polarity information in the determination data D28 is relatively close to the repetition pattern of the polarity information in the repetition data D24 having a transmission processing speed of about 4800 [bps]. In this case, the data rate estimator 28 sets the step SP41. The transmission processing speed actually used for the transmission processing is 4800 [bps]
It is estimated that it will be about.

However, in this case, the data rate estimator 28
In this step SP41, the transmission processing speed is 4800 [bp]
s], the above mentioned step SP
9. It is estimated that an error has occurred in the second original data D45 based on the negative result of step SP10 or step SP11, and thereafter, the process proceeds to step SP8 to terminate the transmission speed estimating procedure RT1.

On the other hand, obtaining a negative result in step SP39 or step SP40 means that the transmission processing speed to be estimated is not about 4800 [bps], and in this case, the data rate estimator 28 Proceeding to step SP42, the third reception processing speed becomes 2400 [bp].
s].

In this case, if the data rate estimator 28 obtains a positive result in this step SP42 (that is, the third reception processing speed becomes about 2400 [bps]), it proceeds to step SP43 and corrects the polarity comparison data D33C. (Hereinafter referred to as third corrected polarity comparison data) is represented by a preset hexadecimal number, for example, 100
It is determined whether the threshold value is smaller than the threshold value.

Obtaining a positive result in step SP43 means that the value of the third corrected polarity comparison data is smaller than the eighth threshold value, so that the first soft polarity having a reception processing speed of about 2400 [bps] is obtained. This means that the repetition pattern of the polarity information in the determination data D28 is relatively close to the repetition pattern of the polarity information in the repetition data D25 having a transmission processing speed of about 2400 [bps]. In this case, the data rate estimator 28 sets the step SP44 The transmission processing speed actually used for transmission processing is 2400 [bps]
It is estimated that it will be about.

In this case, however, the data rate estimator 28
In this step SP43, the transmission processing speed is 2400 [bp
s], the above described step SP1
Based on the negative result in step 8, it is estimated that an error has occurred in the third original data D46, and thereafter, the process proceeds to step SP8 to terminate the transmission processing speed estimation processing procedure RT1.

On the other hand, obtaining a negative result in step SP42 or step SP43 means that the transmission processing speed to be estimated is not about 2400 [bps]. In this case, the data rate estimator 28 sets the Proceeding to SP45, it is determined that the transmission processing speed cannot be estimated. Thereafter, the flow proceeds to step SP8 to end the transmission processing speed estimation processing procedure RT1.

Thus, the data rate estimator 28
In the above, the first original data D44, the second original data D45, the third original data D46 or the fourth original data D44 according to the reception processing speed which is the same as the estimated transmission processing speed as well as the transmission processing speed Whether or not an error has occurred in the original data D47 can be accurately estimated.

(8) Operation and effect of the present embodiment In the above configuration, in this communication terminal 1, when estimating the transmission processing speed, the polarity comparison data D33A obtained by the first to fourth reception processing. To D33C, maximum likelihood path metric data D39A to D39D, estimated error number data D40A
To D40D are corrected based on the ratio according to the reception processing speed, the second to fourth corrected polarity comparison data obtained, the four types of maximum likelihood path metric data obtained by correction, and the first to fourth corrected polarity measurement data.
Fourth corrected estimated error number data and error detection data D42
The transmission processing speed actually used for the transmission processing is estimated based on A to D42D.

That is, based on the error detection data D42A and D42B and the first and second corrected estimated error number data by the data rate estimator 28, the transmission processing speed actually used for the transmission processing is 9600 [bps]. Degree or 4800 (bp
s] (step SP1 to step SP12).

An error has occurred in the first and second decoded data D35 and D36, and the error detection data D42
When it is difficult to estimate that the transmission processing speed actually used for the transmission processing is about 9600 [bps] or about 4800 [bps] using only A and D42B and the first and second corrected estimated error data. , The first to fourth corrected estimated error number data, the corrected values of the maximum likelihood path metric data D39A to D39D, and the second to fourth corrected polarity comparison data are sequentially used for actual transmission processing. The estimated transmission processing speed is estimated (steps SP13 to SP45).

Therefore, in this communication terminal 1, the polarity comparison data D33A to D33D obtained by the first to fourth reception processes are obtained.
33C, maximum likelihood path metric data D39A to D39
D, the estimated error number data D40A to D40D are corrected based on the ratio according to the reception processing speed and used for estimating the transmission processing speed.
The fourth corrected polarity comparison data, the corrected maximum likelihood path metric data, the first to fourth corrected estimated error count data, the second to fourth corrected polarity comparison data,
The maximum likelihood path metric data thus corrected and the first to fourth corrected estimated error count data are simply compared with the corresponding first to eighth thresholds, and the transmission actually used in the transmission processing is performed. The processing speed can be easily and accurately estimated, and thus the erroneous estimation of the transmission processing speed can be reduced.

In addition, in the communication terminal 1, when estimating the transmission processing speed, the data rate estimator 28 can simplify the configuration of a predetermined program for performing the transmission processing speed estimation processing procedure RT1 described above. it can.

Further, in this communication terminal 1, since the transmission processing speed is estimated using the first to fourth corrected estimated error number data, the received data D7 transmitted without the CRC code from the base station is transmitted. Even if received, Viterbi decoder 2
7, the transmission processing speed can be estimated while accurately judging whether or not Viterbi decoding has been correctly performed, and erroneous estimation of the transmission processing speed can be further reduced.

Further, in the communication terminal 1, even when an error occurs during Viterbi decoding, the number of polarity mismatches that are not affected by such Viterbi decoding error is used for estimating the transmission processing speed. The accuracy of estimating the transmission processing speed can be greatly improved.

According to the above configuration, the first soft decision data D28 generated from the received data D7 is repeatedly sent out using the four kinds of reception processing speeds one by one, and the first to fourth receptions are performed. The processing is performed, and the number of mismatched polarities, the maximum likelihood path metric value, and the number of estimated errors obtained based on the first to fourth reception processing speeds are corrected based on the ratios corresponding to the reception processing speeds, respectively. The transmission processing speed actually used in the transmission processing is estimated based on the number of mismatched polarities obtained by the correction, the maximum likelihood path metric value, and the number of estimated errors, thereby obtaining the corrected polarity. By simply comparing the number of mismatches, the maximum likelihood path metric value, and the number of estimated errors, the transmission processing speed can be estimated while accurately judging whether Viterbi decoding has been performed correctly. Thus it is possible to realize a transmission rate estimating apparatus and transmission rate estimation method capable of improving estimation accuracy of transmission processing speed.

(9) Other Embodiments In the above-described embodiment, a radio transmission rate of about 19200 [bps] is used, and a radio transmission rate of about 9600 [bps] is used.
Although the transmission processing speed and the reception processing speed of about 00 [bps], about 2400 [bps] and about 1200 [bps] have been described, the present invention is not limited to this, and the present invention is not limited to this. As long as transmission processing can be performed so that the length becomes apparently the same predetermined bit length, various other speeds may be used as the wireless transmission speed and the transmission processing speed.

Further, in the above-described embodiment, a case has been described in which 16-level soft decision data is used in the reception processing. However, the present invention is not limited to this, and the present invention is not limited to this. The same effect as described above can be obtained by using various other multi-value soft decision data.

Further, in the above-described embodiment, the transmission actually used in the transmission processing is performed using the number of mismatched polarities corrected, the maximum likelihood path metric value and the number of estimated errors, and the detection result of error detection. Although the case of estimating the processing speed has been described, the present invention is not limited to this, and it is possible to determine whether Viterbi decoding has been correctly performed using the estimated number of errors. Instead of using this, the transmission processing speed actually used in the transmission processing may be estimated using the corrected number of polarity mismatches, the maximum likelihood path metric value, and the estimated error number, and this case is also described above. The same effect as in the embodiment can be obtained.

Further, in the above-described embodiment, a case has been described in which the number of mismatched polarities, the maximum likelihood path metric value, and the number of estimated errors are corrected and used based on a ratio corresponding to the reception processing speed. However, the present invention is not limited to this, and the corrected number of mismatched polarities, the maximum likelihood path metric value, and the estimated error number may be weighted and used by a predetermined method.

Further, in the above-described embodiment, a case has been described in which the first to eighth threshold values used in the above-described transmission processing speed estimation processing procedure RT1 are set as predetermined numbers expressed in hexadecimal. However, the present invention is not limited to this, and the first to eighth threshold values may be weighted and set by a predetermined method.

Further, in the above-described embodiment, a case has been described in which the present invention is applied to communication terminal 1. However, the present invention is not limited to this, and a plurality of types of predetermined transmission processing speeds may be selected. Receiving the data transmitted and transmitted at the transmission processing speed, and receiving the data using the reception processing speed, which is the same as each transmission processing speed, sequentially one by one, based on the reception processing result. As long as the transmission processing speed is estimated, the present invention may be applied to various other receiving devices and transmitting / receiving devices.

Further, in the above-described embodiment, the receiving means generates first data having a predetermined format from the received data, and repeatedly transmits the first data using each transmission rate one by one. , Receiver 12
And the case where the deinterleaver 25 is applied has been described. However, the present invention is not limited to this. First data having a predetermined format is generated from received data, and the first data is transmitted at each transmission rate. As long as it can be repeatedly used one by one and transmitted repeatedly, a receiving means having various other configurations may be applied.

Further, in the above-described embodiment, the polarity information of one number greater than the corresponding repetition number of the first data is sequentially compared for each transmission rate, and the first mismatch number of the polarity information is compared. , And selecting the most likely one piece of polarity information from the number of pieces of polarity information one greater than the number of repetitions to generate second data composed of the selected pieces of polarity information. As a detection means,
Although the case where the data addition processor 26 is applied has been described, the present invention is not limited to this, and the first
Are sequentially compared with each other by a number greater than the corresponding number of repetitions of the data, a first number of mismatches between the pieces of polarity information is detected, and the polarity information of the number one more than the number of repetitions is most detected. If it is possible to select one likely piece of polarity information and generate the second data consisting of the selected pieces of polarity information, the first mismatch number detection means having various other configurations is applied. May be.

Further, in the above embodiment, the second data is Viterbi-decoded for each transmission rate to generate decoded data, and the maximum likelihood detecting means for detecting the maximum likelihood path metric value by the Viterbi decoding is used. , The case where the Viterbi decoder 27 is applied, but the present invention is not limited to this.
In addition to generating Viterbi-decoded data and decoding data, and as long as the maximum likelihood path metric value by Viterbi decoding can be detected, a maximum likelihood detecting means having various other configurations may be applied.

Further, in the above-described embodiment, corresponding polarity information between second data obtained for each transmission rate and coded data obtained by convolutionally coding corresponding decoded data is compared with each other. Although the description has been given of the case where the data error number estimating circuit 39 is applied as the second mismatch number detecting means for detecting the second mismatch number between the polarity information, the present invention is not limited to this. Comparing the corresponding pieces of polarity information between the second data obtained for each speed and the coded data obtained by convolutionally coding the corresponding decoded data, and detecting the second number of mismatches between the pieces of polarity information If possible, a second mismatch number detecting means having various other configurations may be applied.

Further, in the above-described embodiment, the information amounts of the first number of mismatches, the path metric value, and the second number of mismatches detected for each transmission speed are corrected at a predetermined ratio corresponding to each transmission speed. The data rate estimator 28 and the controller 7 as transmission rate estimating means for estimating the transmission rate of the received data transmission process based on the corrected first mismatch number, path metric value, and second mismatch number. However, the present invention is not limited to this case, and the present invention is not limited to this. The information amount of the first number of mismatches, the path metric value, and the second number of mismatches detected for each transmission speed is applied to each transmission speed. The transmission rate of the transmission process of the received data is estimated based on the corrected first mismatch number, path metric value, and second mismatch number. If it is possible to, it may be applied to transmission rate estimation means comprising various other configurations.

[0223]

As described above, according to the present invention, first data having a predetermined format is generated from received data, and the first data is repeatedly transmitted using each transmission rate one by one. The receiving unit sequentially compares polarity information of one more number than the corresponding repetition number of the first data for each transmission speed, detects a first mismatch number between the polarity information pieces, and calculates the first mismatch number. A first mismatch number detecting means for selecting the most probable polarity information from one more polarity information to generate second data composed of the selected polarity information; Each of the second data is Viterbi-decoded to generate decoded data, the maximum likelihood detecting means for detecting the maximum likelihood path metric value by the Viterbi decoding, and the second likelihood detection means obtained for each transmission rate.
And the corresponding polarity information of the encoded data obtained by convolutionally encoding the corresponding decoded data is compared with each other, and a second number of mismatches between the polarity information is detected.
And the information amount of the first number of mismatches, the path metric value and the second number of mismatches detected for each transmission rate are corrected by a predetermined ratio corresponding to each transmission rate.
Transmission speed estimating means for estimating the transmission speed of the transmission process of the received data based on the corrected first mismatch number, path metric value, and second mismatch number is provided. By simply comparing the first number of mismatches, the path metric value, and the second number of mismatches to accurately determine whether or not Viterbi decoding has been correctly performed, an erroneous estimation of the transmission rate used in the transmission processing is performed. Is greatly reduced, the transmission rate can be easily estimated, and a transmission rate estimating apparatus that can improve the estimation accuracy of the transmission rate can be realized.

A first step of generating first data of a predetermined format from the received data, and repeatedly transmitting the first data using each transmission rate one by one, and a first step for each transmission rate. Polarity information of one more number than the corresponding repetition number of data is sequentially compared with each other to detect a first mismatch number between the pieces of polarity information, and the most reliable information is obtained from the polarity information of one more number than the repetition number. Guess 1
A first mismatch detection step for generating second data consisting of the selected pieces of polarity information by selecting two pieces of polarity information, and decoding the decoded data by Viterbi decoding the second data for each transmission rate. The maximum likelihood detection step for generating and detecting the maximum likelihood path metric value by the Viterbi decoding, the second data obtained for each transmission rate, and the encoded data obtained by convolutionally encoding the corresponding decoded data A second mismatch number detection step for comparing the corresponding pieces of polarity information with each other and detecting a second number of mismatches between the pieces of polarity information, a first number of mismatches detected for each transmission speed, a path metric value, and The information amount of the second mismatch number is corrected at a predetermined ratio corresponding to each transmission rate, and based on the corrected first mismatch number, path metric value and second mismatch number, By providing a transmission rate estimation step for estimating the transmission rate of the transmission processing of the received data, the corrected first mismatch number, path metric value and second mismatch number can be simply compared. While accurately judging whether Viterbi decoding has been performed correctly, it is possible to greatly reduce the erroneous estimation of the transmission speed used in the transmission processing and easily estimate the transmission speed, and thus estimate the transmission speed. A transmission rate estimating method that can improve accuracy can be realized.

[Brief description of the drawings]

FIG. 1 is a block diagram showing an embodiment of a circuit configuration of a communication terminal according to the present invention.

FIG. 2 is a block diagram showing a circuit configuration of a channel code.

FIG. 3 is a block diagram for explaining a transmission process in a channel code;

FIG. 4 is a chart for explaining a transmission process in a channel codec.

FIG. 5 is a block diagram for explaining a receiving process in a channel code;

FIG. 6 is a block diagram showing a circuit configuration of a data addition processor.

FIG. 7 is a table for explaining first soft decision data input to a data addition processor;

FIG. 8 is a chart for explaining first soft decision data subjected to polarity decision;

FIG. 9 is a block diagram showing a circuit configuration of a Viterbi decoder.

FIG. 10 is a chart for explaining second soft decision data in a Viterbi decoder.

FIG. 11 is a block diagram showing a circuit configuration of a data error number estimation circuit.

FIG. 12 is a block diagram showing a circuit configuration of a convolutional encoder.

FIG. 13 is a table provided for explaining various parameters used for estimating a transmission processing speed.

FIG. 14 is a flowchart showing a transmission processing speed estimation processing procedure.

FIG. 15 is a flowchart showing a transmission processing speed estimation processing procedure.

FIG. 16 is a flowchart showing a transmission processing speed estimation processing procedure.

FIG. 17 is a flowchart showing a transmission processing speed estimation processing procedure.

[Explanation of symbols]

1 Communication terminal 7, Controller 25 Deinterleaver 26 Data addition processor 27 Viterbi decoder 28 Data rate estimator 29 Error detector 30 Data selector, 34 Data comparator, 3
5 addition / subtraction unit, 38 branch metric operation circuit, 39 data error number estimation circuit, 40 ACS operation circuit, 42 maximum likelihood detector, 43 path selection information storage unit, 44 ... data estimator, 46 ... convolutional encoder,
47: comparison circuit, 53: storage circuit, 54: counter, D33A to D33C: polarity comparison data, D39A
~ D39D ... Maximum likelihood path metric data, D40A ~
D40D: Estimated error number data, D42A, D42B ...
... Error detection data, D44 ... First original data, D45
... second original data, D46 ... third original data, D4
7. Fourth original data.

Claims (4)

[Claims] 1. A transmission processing for convolutionally encoding data to be transmitted having a desired transmission rate among a plurality of types of transmission rates, and repeating the obtained encoded data at a repetition rate corresponding to the transmission rate. And receive the transmitted data,
In a transmission rate estimating apparatus for estimating the transmission rate of the received data, first data having a predetermined format is generated from the received data, and the first data is used for each of the transmission rates one by one. Receiving means for repeatedly transmitting the first and second pieces of polarity information of the first data for each of the transmission speeds. Detecting, and selecting the most probable one piece of the polarity information from the number of pieces of the polarity information one greater than the number of repetitions, and generating second data including the selected pieces of the polarity information. And Viterbi decoding of the second data for each transmission rate to generate decoded data, and the maximum likelihood path measurement by the Viterbi decoding. Maximum likelihood detecting means for detecting a lock value; and the corresponding polarity information of the second data obtained for each transmission rate and the coded data obtained by convolutionally coding the corresponding decoded data. And a second mismatch number detecting means for detecting a second mismatch number between the pieces of polarity information, and a first mismatch number, the path metric value, and the second The information amount of the number of mismatches is corrected at a predetermined ratio according to each transmission speed, and the received number of mismatches is corrected based on the corrected first mismatch number, the path metric value, and the second mismatch number. And a transmission rate estimating means for estimating the transmission rate in the data transmission processing. 2. The method according to claim 1, wherein, of the transmission rates, the decoded data generated by performing the Viterbi decoding at the specific transmission rate is used to transmit the decoded data using the specific transmission rate. Error detecting means for detecting an error based on an error detecting code added to the data, wherein the transmission rate estimating means determines the corrected first mismatch number, the path metric value, and the second mismatch number with each other. ,
2. The transmission rate estimating apparatus according to claim 1, wherein the transmission rate of the transmission processing of the received data is estimated based on an error detection result obtained from the error detecting means. 3. A transmission process for convolutionally encoding transmission target data having a desired transmission rate among a plurality of types of transmission rates, and repeating the obtained encoded data at a repetition rate corresponding to the transmission rate. And receive the transmitted data,
In the transmission rate estimating method for estimating the transmission rate of the received data, first data having a predetermined format is generated from the received data, and the first data is used by sequentially using one type of each transmission rate. And sequentially comparing the polarity information of one number greater than the corresponding repetition number of the first data for each transmission speed, and determining the first mismatch number of the polarity information. Detecting, and selecting the most probable one piece of the polarity information from the number of pieces of the polarity information one greater than the number of repetitions, and generating second data including the selected pieces of the polarity information. And Viterbi decoding of the second data for each of the transmission speeds to generate decoded data, and the maximum likelihood of the Viterbi decoding. A maximum likelihood detection step for detecting a metric value; a pair of the corresponding polarity information of the second data obtained for each of the transmission rates; and the corresponding polarity information of coded data obtained by convolutionally coding the corresponding decoded data. And a second mismatch number detection step for detecting a second number of mismatches between the pieces of polarity information, and the first number of mismatches, the path metric value, and the second The information amount of the number of mismatches is corrected at a predetermined ratio according to each transmission speed, and the received number of mismatches is corrected based on the corrected first mismatch number, the path metric value, and the second mismatch number. A transmission rate estimation step for estimating the transmission rate in the data transmission process. 4. The method according to claim 1, wherein, of the transmission rates, the decoded data generated by performing the Viterbi decoding at the specific transmission rate is used to transmit the decoded data using the specific transmission rate. An error detection step for detecting an error based on an error detection code added to the data is provided. In the transmission rate estimation step, the first data obtained by the correction is used.
Estimating the transmission rate in the transmission process of the received data based on the number of mismatches, the path metric value, the second number of mismatches, and the error detection result obtained by the error detection step. Claim 3 characterized by the following:
The transmission rate estimation method according to 1.