JP2012039259A - Decoder and receiver using digital transmission system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve transmission characteristics in various modulation methods having a plurality of amplitude levels.SOLUTION: A decoder (26) includes: a transmission signal constellation signal extraction part (252) which extracts a signal point of a known transmission signal constellation signal from a signal having passed through a transmission path; a transmission signal constellation signal averaging part (253) which generates an averaged point of a transmission signal constellation signal where the signal point of the transmission signal constellation signal is averaged; an adaptive equalization part (256) which generates an adaptive equalization signal in which a waveform distortion yielded on a transmission path is suppressed by setting the signal having passed through the transmission path to the arranged point of the transmission signal constellation signal as a target convergence point; and an error collection decoding part (251) that corrects an error in the adaptive equalization signal.

Description

  The present invention relates to a digital transmission type decoder and receiver for compensating for distortion generated in a satellite transmission line or the like.

  In the digital transmission method, a multi-level modulation method is generally used so that more information can be transmitted in the frequency bandwidth available for each service. In order to increase the frequency utilization efficiency, it is necessary to increase the number of bits (number of modulation multi-values) allocated per symbol of the modulation signal, but the relationship between the upper limit value of the information rate that can be transmitted per frequency of 1 Hz and the signal-to-noise ratio. Is limited by the Shannon limit.

  As an example of a transmission form of information using a satellite transmission path, satellite digital broadcasting can be cited. For example, as illustrated in FIG. 9, the modulated wave signal from the transmission device 10 is transmitted to the reception device 20 via the satellite repeater 30. In such satellite digital broadcasting, the satellite repeater 30 mainly includes an input multiplexer filter (hereinafter referred to as IMUX filter) 31, a traveling wave tube amplifier (hereinafter referred to as TWTA) 32, and an output multiplexer filter (hereinafter referred to as “multiplexer filter”). (Referred to as OMUX filter) 33, band extraction is performed for each channel by IMUX filter 31, gain control is performed by TWTA 32, and unnecessary frequency components are suppressed by OMUX filter 33.

  As described above, the TWTA 32 having high power efficiency is often used for the satellite repeater 30 due to hardware limitations. In order to make the most of the limited hardware limitations of the satellite repeater 30, it is desirable to operate the TWTA 32 in the saturation region so that the output of the satellite repeater 30 is maximized. However, since distortion generated in the TWTA 32 leads to transmission degradation, phase modulation is often used for transmission signals of the transmission apparatus 10 and the reception apparatus 20 as a modulation scheme that is resistant to transmission degradation caused by distortion generated in the TWTA 32.

  Currently, a transmission system called ISDB-S is used as a transmission system for satellite digital broadcasting in Japan, and phase modulation such as BPSK, QPSK, and 8PSK can be used. In addition, DVB-S2, which is a European transmission method, uses an amplitude phase modulation called amplitude phase modulation (APSK), and a modulation method that further improves frequency utilization efficiency has been put into practical use. For example, if 16APSK is used, the frequency utilization efficiency is 4 bps / Hz at the maximum, and if 32 APSK, transmission is possible at a maximum of 5 bps / Hz.

  In satellite digital broadcasting currently used, information correction is performed in a receiver using an error correction code. By adding a redundant signal called a parity bit to information to be sent, it is possible to control the redundancy (coding rate) of the signal and increase the resistance to noise. Error correction codes and modulation systems are closely related, and the relationship between frequency utilization efficiency and signal-to-noise ratio with redundancy added is defined by the Shannon limit. As a powerful error correction code having a performance approaching the Shannon limit, an LDPC (Low Density Parity Check) code was proposed by Gallagher in 1962 (see, for example, Non-Patent Document 1).

  The LDPC code is a linear code defined by a very sparse check matrix H (the elements of the check matrix are 0 and 1 and the number of 1 is very small). The LDPC code is a powerful error correction code that can obtain transmission characteristics approaching the Shannon limit by increasing the code length and using an appropriate check matrix. DVB-S2 is a new European satellite broadcasting standard. The LDPC code is also adopted in the broadband wireless access standard IEEE 802.16e. By combining multi-level phase modulation and a powerful error correction code such as an LDPC code, transmission with higher frequency utilization efficiency has become possible.

R.G gallager “Low density parity check codes,” in Research Monograph series Cambridge, MIT Press, 1963

  However, although a strong error correction code such as the LDPC code has an excellent correction capability for white noise, the correction capability for signal deterioration with respect to distortion inherent in the satellite transmission path is not sufficient. In particular, when amplitude phase modulation such as 16APSK or 32APSK is used for a satellite transmission path, signal degradation due to waveform distortion caused by an amplifier such as a TWTA used in a satellite repeater or an earth station occurs more greatly than phase modulation. In general, as a method of suppressing waveform distortion generated in an amplifier, a technique of operating the amplifier in a more linear region by lowering the output level from the saturation region is used. However, transmission degradation due to distortion is reduced, but the output of the satellite repeater is reduced, leading to a reduction in the received signal on the ground. Therefore, in order to apply amplitude phase modulation in satellite broadcasting or the like, a transmission system that can transmit signals without reducing satellite output and that is resistant to transmission deterioration due to distortion is required.

  The object of the present invention is to improve the transmission characteristics and to transmit a signal without reducing the satellite output, even when applying amplitude phase modulation in satellite broadcasting or the like in order to solve the above problem. It is an object of the present invention to provide a digital transmission decoder and receiver that are resistant to transmission degradation.

  In order to solve the above problems, a decoder according to the present invention is a decoder that corrects an error after waveform equalization in digital transmission, and is a method for transmitting a transmission signal point arrangement signal that is known information from a signal that has passed through a transmission path. A transmission signal point arrangement signal extraction unit that extracts signal points, a transmission signal point arrangement signal averaging unit that generates an average point of the transmission signal point arrangement signal obtained by averaging the signal points of the transmission signal point arrangement signal, and the transmission An adaptive equalization unit that generates an adaptive equalization signal that suppresses waveform distortion that occurs in the transmission line, with an average point of the transmission signal point arrangement signal as a target convergence point, And an error correction decoding unit that corrects an error.

  Also, in the decoder according to the present invention, the error correction decoding unit has means for LDPC decoding using a decoder output log likelihood ratio calculated from an average point of the transmission signal point arrangement signal. .

  Furthermore, a receiving apparatus according to the present invention includes the above-described decoder.

  According to the present invention, transmission path distortion can be reduced and transmission characteristics can be improved for various modulation schemes having a plurality of amplitude levels.

It is a block diagram which shows the structure of the decoder of one Example by this invention. It is a block diagram which shows the structure of the adaptive equalization part of the decoder of one Example by this invention. 6 is a flowchart illustrating an operation of a decoder according to an embodiment of the present invention. It is a block diagram which shows the structure of the decoder which does not have an adaptive equalization part. It is a figure explaining the setting of the target convergence point in 32APSK. It is a figure which shows the signal point after passing through the satellite transmission path in 32APSK. It is a figure which shows the constellation after the adaptive equalization in 32APSK. It is a figure which shows the C / N versus bit error rate characteristic in 32APSK coding rate 4/5 using the receiver of one Example by this invention. It is a figure which shows an example of the transmission form in an advanced satellite broadcasting system. It is a block diagram which shows the structure of the transmitter in an advanced satellite broadcast system. It is a block diagram which shows the structure of the conventional receiver in an advanced satellite broadcasting system. It is a figure which shows the example of the modulation wave signal format in an advanced satellite broadcast system. It is a figure which shows the example of a transmission form of the transmission signal point arrangement | positioning signal in 32APSK.

  First, in order to facilitate understanding of the present invention, a schematic configuration of the transmitter 10 and the receiver 20 of the advanced satellite broadcasting system using the LDPC code will be briefly described. For simplification of explanation, only the portion according to the present invention will be described. However, the advanced satellite broadcasting transmission device 10 and the reception device 20 may replace the LDPC code with another correction code method or use it in combination. Furthermore, interleavers can be used in appropriate combinations.

(Transmitter)
FIG. 10 is a block diagram showing a configuration of a conventional transmission apparatus in the advanced satellite broadcasting system. The transmission device 10 includes a frame generation unit 11, an LDPC encoding unit 12, an energy spreading unit 13, a mapping unit 14, and a time division multiplexing / orthogonal modulation unit 15. That is, when transmitting a data stream, the transmission apparatus 10 performs a series of processes from generation of a signal of a multiplexed frame of a plurality of slots in FIG. 12 described later to generation of a modulated wave signal.

  The frame generation unit 11 functions together with the LDPC encoding unit 12 to generate LDPC parity. Therefore, the frame generation unit 11 and the LDPC encoding unit 12 generate a frame of a plurality of slots in FIG. Note that the number of slots, the amount of dummy, the slot length, the synchronization signal bit length, the transmission signal point arrangement signal bit length, the TMCC signal bit length, and the parity bit length are predetermined for the multiplexed frame generated by the frame generation unit 11. It is generated to become a number.

  The LDPC encoding unit 12 performs LDPC encoding with a predetermined period on the data and the transmission control signal. The specific method of LDPC encoding is known and is not the subject of this application and will not be described further.

  Each of the energy spreaders 13 receives a predetermined number of slots of a multiplexed frame, and performs energy spread (bit randomization) on the entire data. The bit-randomized signal is switched according to various modulation schemes (BPSK, APSK, etc.) while appropriately inserting a synchronization signal and a transmission signal point arrangement signal, and is mapped to the mapping unit 14 (a plurality of mappings according to the modulation scheme). Entered.

  The mapping unit 14 performs mapping according to the modulation scheme designated by TMCC synchronization.

  The time division multiplexing / orthogonal modulation unit 15 performs time division multiplexing in units of frames, performs orthogonal modulation, and generates a modulated wave signal.

(Receiver)
FIG. 11 is a block diagram showing a configuration of a conventional receiving apparatus in the advanced satellite broadcasting system. The receiving device 20 includes a channel selection unit 21, an orthogonal detection unit 22, a transmission control signal decoding unit 23, an energy despreading unit 24, and an LDPC decoder 25.

  The channel selection unit 21 receives the modulated wave signal from the transmission device 10, selects a channel of a predetermined frequency band, and converts the signal of the channel into a signal of a predetermined frequency handled by the quadrature detection unit 22. For example, if the modulated wave signal is a satellite broadcast wave, a 12 GHz band broadcast wave (modulated wave signal) is received by a BS antenna, and a 1 GHz band BS-IF signal is transmitted using a known frequency converter (not shown). Convert to

  The quadrature detection unit 22 receives a signal (for example, a BS-IF signal) of a predetermined frequency of the channel selected by the channel selection unit 21 and converts it into a synchronous baseband signal.

  The transmission control signal decoding unit 23 receives the synchronous baseband signal converted by the quadrature detection unit 22, first detects the synchronous byte of the TMCC signal, and uses this as a reference for the periodically multiplexed BPSK modulated wave. The position of a certain phase reference burst signal is also detected. Also, TMCC information decoding processing is performed on the modulation scheme and error correction information transmitted by the TMCC signal. The transmission control information (modulation scheme / error correction TMCC information) decoded by the transmission control signal decoding unit 23 is input to the energy despreading unit 24 and the LDPC decoder 25.

  The energy despreading unit 24 restores the process in which the pseudorandom code is added by MOD2 in the energy spreading unit 13 of the transmission apparatus 10, so that the same pseudorandom code is added again by MOD2 to perform the energy despreading process.

  The LDPC decoder 25 receives the synchronous baseband signal from the quadrature detection unit 22 and the modulation scheme / error correction information detected by the transmission control signal decoding unit 23, and converts the synchronous baseband signal into an LDPC code. The decoding process is performed using the parity check matrix.

  As described above, in the case of the transmitter 10 and the receiver 20 of the advanced satellite broadcasting system using the LDPC code, a higher frequency utilization efficiency can be obtained by combining multi-level phase modulation and a strong error correction code such as an LDPC code. Can be transmitted.

  However, although such a strong error correction code such as an LDPC code has an excellent correction capability for white noise, the correction capability for signal deterioration against distortion inherent in a satellite transmission path is not sufficient. In particular, when amplitude phase modulation such as 16APSK or 32APSK is used for a satellite transmission path, signal deterioration due to waveform distortion caused by an amplifier such as TWTA used in the satellite repeater 30 or the earth station is more serious than phase modulation.

  In general, as a method of suppressing waveform distortion generated in an amplifier, a technique of operating the amplifier in a more linear region by lowering the output level from the saturation region is used. However, in this case, transmission degradation due to distortion is reduced, but the output of the satellite repeater 30 is reduced, leading to a reduction in received signals on the ground. Therefore, in order to apply APSK in satellite broadcasting or the like, a transmission system that can transmit signals without reducing satellite output as much as possible and that is resistant to transmission deterioration due to distortion is required.

  In the latest satellite digital broadcasting systems such as DVB-S2, a technique (maximum likelihood decoding) for maximizing the posterior probability based on Bayesian theory is used as a decoding method for error correction codes. The posterior probability is obtained by a likelihood function shown in the following equation (1).

  From the definition of the likelihood function, the likelihood function and the Euclidean distance indicating the distance between the received signal and the ideal signal point are closely related. In a transmission path containing only white noise, the received signal point generates a random deviation of a Gaussian distribution according to S / N. In a transmission path including specific distortion other than white noise, Signal point transition with amplitude and phase deviation occurs. In particular, when APSK is input to the non-linear amplifier, the signal points belonging to the concentric circle having the largest amplitude cause a larger signal deviation because of the convenience of transmitting the APSK by combining a plurality of types of concentric circles.

  In addition, the "Advanced Broadband Satellite Digital Broadcasting Transmission System" (hereinafter referred to as the Advanced Satellite Broadcasting System) described in the 1.0 version of the Radio Industry Association Standard ARIB-STD B44 also considers improvement of transmission characteristics for APSK. ing.

  FIG. 12 shows an example of a modulated wave signal format of the advanced satellite broadcasting system. The modulation wave signal can be changed in transmission parameters including a modulation method and an error correction code coding rate in units of frames. One frame is composed of 120 modulation slots, and can be transmitted by specifying a modulation method and a coding rate for every five modulation slots. In each modulation slot, 66 pairs of 24 symbols of synchronization signals, 32 symbols of transmission signal point arrangement signals, and 136 symbols of data and 4 symbols of TMCC signals are time-division multiplexed.

  FIG. 13 shows an example of a transmission form of a transmission signal point arrangement signal in 32APSK. The transmission signal point arrangement signal is known information. As shown in FIG. 13, in the case of 32APSK, signal points corresponding to symbols “00000” to “11111” are sequentially transmitted. In FIG. 13A, FIG. 13B, and FIG. 13C, signal points corresponding to the first symbol, the second symbol, and the 32nd symbol are represented by “black circles”, respectively.

  FIG. 4 shows an LDPC decoder 25 of the receiving apparatus 20 that uses this transmission signal point arrangement signal. In the case of a system that does not include a transmission signal point arrangement signal, LDPC decoding is performed on the I signal and Q signal subjected to orthogonal detection while referring to a likelihood table. The LDPC decoder 25 uses the transmission signal point arrangement signal. Is obtained by averaging for each symbol, obtaining a signal point arrangement after being affected by nonlinear distortion in the transmission line, and generating or updating a likelihood table based on the obtained signal point arrangement. It is possible to improve the characteristics (refer to Explanation A.2 “Transmission signal point arrangement signal” of ARIB-STD B44 version 1.0).

  The LDPC decoder 25 includes an LDPC decoding unit 251, a transmission signal point arrangement signal extraction unit 252, a transmission signal point arrangement signal averaging unit 253, a likelihood table generation unit 254, and a predetermined memory (not shown). And a likelihood table 255 stored in the table.

  The transmission signal point arrangement signal extraction unit 252 receives the synchronous baseband signal converted by the quadrature detection unit 22, and uses the timing signal of the transmission signal point arrangement signal in the TMCC signal detected in advance to transmit the transmission signal point arrangement signal. Are extracted and sequentially output to the transmission signal point arrangement signal averaging section 253.

  The transmission signal point constellation signal averaging unit 253 performs an averaging process on the signal points of the transmission signal point constellation signal input from the transmission signal point constellation signal extraction unit 252 for each symbol, and averages the transmission signal point constellation signal. p (n) is generated and output to the likelihood table generation unit 254 and the adaptive equalization unit 256.

  The likelihood table generation unit 254 represents a decoder output log likelihood ratio (LLR) of the average point p (n) of the transmission signal point arrangement signal input from the transmission signal point arrangement signal averaging unit 253. A likelihood table 255 used for likelihood calculation in LDPC decoding is generated and stored in a predetermined memory or updated. The likelihood table 255 is preferably generated individually according to the modulation scheme and coding rate with a predetermined slot length, and information on the modulation scheme and coding rate used to generate the likelihood table 255. Is obtained from a signal according to TMCC information in the TMCC signal detected in advance (hereinafter referred to as a modulation scheme / coding rate selection signal).

  The LDPC decoding unit 251 performs LDPC decoding on the synchronous baseband signal converted by the orthogonal detection unit 22 based on the LLR of the likelihood table 255 and the modulation scheme / coding rate selection signal, and sends the decoded signal to the outside. Send it out.

  Note that when such a fixed pattern (that is, a repeated pattern of transmission signal point arrangement signal points) is periodically multiplexed, a line spectrum is generated in the frequency component of the modulation signal. Also performs energy spreading on the transmitting side.

  Hereinafter, an embodiment of a decoder and receiver of a digital transmission system according to the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a block diagram showing the configuration of the decoder (LDPC decoder 26) of the present embodiment. Note that the LDPC decoder 26 of the present embodiment is replaced with the conventional LDPC decoder 25 in the receiving apparatus 20 shown in FIG. 11, thereby constituting the receiving apparatus of one embodiment according to the present invention. The operation of the receiving apparatus excluding the LDPC decoder 26 is the same as that shown in FIG. 11, and is as described above.

  The LDPC decoder 26 includes an LDPC decoding unit 251, a transmission signal point arrangement signal extraction unit 252, a transmission signal point arrangement signal averaging unit 253, a likelihood table generation unit 254, and a predetermined memory (not shown). Are stored in the likelihood table 255 and an adaptive equalization unit 256. The LDPC decoder 26 is different from the LDPC decoder 25 illustrated in FIG. 4 in that it further includes an adaptive equalization unit 256.

  Here, as a method of compensating for transmission path distortion in a receiving apparatus, a blind equalizer that can reduce the influence of transmission path distortion from only a received signal is often used (for example, reference: Kil Nam OH, “ A Single / Multilevel Modulus Algorithm for Blind Equalization of QAM Signals ”IEICE TRANS. FUNDAMENTALS. VOL.E80-A, N.6. A blind equalizer is a type of adaptive filter that reduces distortion caused by the transmission path by appropriately selecting the filter tap length, step size, and error vector calculation method, and makes the symbol point close to the transmission signal. This is a waveform equalizer that can change the received signal point.

  The blind equalizer sets a target convergence point a (n) in advance on the receiving side, performs waveform equalization without using a training sequence by using a blind algorithm such as GMCMA (Generalized Multilevel Constant Modulus Algorithm), etc. Is a generator. Therefore, since the signal after blind equalization operates so as to approach the target convergence point a (n) used on the receiving side, the waveform equalization performance greatly depends on the setting of the target convergence point. Usually, a transmission signal point is used as a general target convergence point in blind equalization. FIG. 5 is a diagram illustrating a case where a transmission signal point is used as the target convergence point a (n) in 32APSK.

  However, since the transmission signal point arrangement is an ideal signal point arrangement, the influence of signal distortion due to nonlinearity is large, especially in satellite transmission paths assuming that the amplifier operates near the saturation region. The signal is far from the ideal signal point. In such a case, if the transmission signal point is set as the target convergence point in the blind equalization, the influence of the signal point divergence affects the equalization processing, and sufficient equalization performance cannot be exhibited.

  FIG. 6 shows an average point p (n) of transmission signal point arrangement signals after passing through a satellite transmission path in 32APSK. As a satellite transmission path, an IMUX filter, a TWTA, and an OMUX filter constituting a general satellite repeater were assumed, and the system was reproduced by computer simulation. The TWTA operating point (OBO: Output Back Off) was calculated for 3.0 dB. FIG. 6 also shows a reception signal point r (n) and a transmission signal point t (n). From FIG. 6, it can be seen that the average point p (n) of the transmission signal point arrangement signal converges to a point closer to the reception signal point r (n) than the transmission signal point t (n). Therefore, by setting the average convergence point p (n) of the transmission signal point arrangement signal as the target convergence point a (n) of the adaptive equalizer and performing adaptive equalization, the received signal affected by the waveform distortion Waveform equalization can be performed in a situation where there is little divergence between target signal points, and transmission performance can be further improved.

  Therefore, as will be described later, the adaptive equalization unit 256 of the present embodiment uses the transmission base point signal converted from the transmission base point signal by the transmission base point signal converted by the quadrature detection unit 22. Is used as a target convergence point, and an equalizer output z (n) in which waveform distortion generated in the transmission path is suppressed is generated and output to the LDPC decoding unit 251.

  The LDPC decoding unit 251 performs LDPC decoding on the equalizer output z (n) input from the adaptive equalization unit 256 using the LLR calculated from the average point p (n) of the transmission signal point arrangement signal. To generate a decoded signal.

  FIG. 2 is a block diagram illustrating a configuration of the adaptive equalization unit 256. The adaptive equalization unit 256 includes a feedforward filter 2561, an addition unit 2562, a determination unit 2563, a feedback filter 2564, and a filter coefficient update unit 2565.

The feedforward filter 2561 has filter coefficients W _FF : [W ₀ , W ₁ ,..., W _M ] corresponding to the tap length M, and an input vector sequence x with respect to the input signal vector x (n). _FF : [x (n), x (n−1),..., X (n−M)] ^T is held, and a product-sum operation is performed on the feedforward filter coefficient W _FF and the input vector sequence X _FF . Here, the superscript T represents transposition of the matrix.

  The adder 2562 outputs a value obtained by subtracting the output of the feedback filter 2564 from the output of the feedforward filter 2561 to the determination unit 2563 as an equalizer output z (n). At the same time, the equalizer output z (n) is output to the filter coefficient update unit 2565 for updating the filter coefficient. The equalizer output z (n) is expressed by the following equation (2).

  The determination unit 2563 performs the minimum Euclidean distance determination with respect to the equalizer output z (n) input from the adder 2562 and an ideal symbol point determined by a known modulation scheme, and an ideal symbol point that becomes the minimum Euclidean distance Is output to the feedback filter 2564 as the determiner output d (n). At the same time, the discriminator output d (n) is output to the filter coefficient updating unit 2565 for updating the filter coefficient.

The feedback filter 2564 has filter coefficients W _FB : [W _{M + 1} , W _{M + 2} ,..., W _{M + L} ] corresponding to the tap length L, and determines the determination unit output d (n) of the determination unit 2563. Output column d _FB : [d (n−1), d (n−2),..., D (n−L)] ^T is held, and the feedback filter coefficient W _FB and the judgment output sequence d _FB Perform product-sum operation.

Filter coefficient updating unit 2565 applies the algorithm to successively update the feed-forward filter coefficients W _FF and the feedback filter coefficient W _FB. For the algorithm, for example, GMCMA described in the above-mentioned document is used. The following formula (3) shows the GMCMA update formula. The subscripts I and Q represent the I component and Q component of the complex signal.

GMCMA evaluates the Euclidean distance between the equalized output Z (n) and the target convergence point a (n) closest to the equalized output Z (n) as shown in the equation (3), and the complex vector Applying an LMS (Least Mean Square) algorithm shown in the following equations (4) and (5) so that the error amount e (n) approaches 0, a feedforward filter coefficient W _FF for each input symbol, The feedback filter coefficient W _FB and the equalized output Z (n) are updated. As the target convergence point a (n), the average point p (n) of the transmission signal point arrangement signal input from the transmission signal point arrangement signal averaging unit 253 is employed.

ここで、Ｗ（ｎ）はフィルタ係数、μはステップサイズ、上付きの＊は複素共役、上付きのＴは行列の転置を表す。

Here, W (n) is a filter coefficient, μ is a step size, superscript * is a complex conjugate, and superscript T is a transpose of a matrix.

  Next, the operation of the LDPC decoder 26 of this example will be described with reference to FIG. FIG. 3 is a flowchart showing the operation of the LDPC decoder 26.

  First, in step S101, the LDPC decoder 26 sets the initial value of the target convergence point a (n) in the adaptive equalization unit 256 to the transmission signal point t (n).

  In step S102, the transmission signal point arrangement signal extraction unit 252 extracts the transmission signal point arrangement signal from the reception signal that has passed through the transmission path.

  In step S103, transmission signal point arrangement signal averaging section 253 generates an average point p (n) of transmission signal point arrangement signals.

  In step S104, the target convergence point a (n) in the adaptive equalization unit 256 is replaced with the average point p (n) of the transmission signal point arrangement signal from the transmission signal point t (n).

  In step S105, the adaptive equalization unit 256 performs adaptive equalization in symbol units using the average point p (n) of the transmission signal point arrangement signal to generate an equalized output z (n).

  In step S106, the likelihood table generation unit 254 calculates the LLR using the average point p (n) of the transmission signal point arrangement signal.

  In step S107, the LDPC decoding unit 251 generates an LDPC decoded signal using the LLR calculated from the average point p (n) of the transmission signal point arrangement signal for the equalized output z (n).

  Next, FIG. 7 and FIG. 8 show computer simulation results of 32APSK coding rate 4/5 transmission characteristics by the receiving apparatus of this embodiment. Here, it is assumed that a signal is transmitted to the satellite transmission path, and the transmission path distortion occurs only in the process from the transmitting apparatus to the receiving apparatus via the transmission path. As a satellite transmission path, an IMUX filter, a TWTA, and an OMUX filter constituting a general satellite repeater are assumed, the system is reproduced by computer simulation, and the calculation is performed with the TWTA operating point set to 3.0 dB. . The step size is 2E-4, the feedforward filter tap length is 10, and the feedback filter tap length is 14. As the blind algorithm, GMCMA was used. In the likelihood calculation required for LDPC decoding, as described above, the calculation was performed using the average point p (n) of the transmission signal point arrangement signal as a likelihood table.

  FIG. 7 shows a simulation result of the constellation after adaptive equalization. FIG. 7A shows a constellation of the reception signal r (n) when reception C / N = 30 dB. FIG. 7B shows an equalizer output when the received signal r (n) is adaptively equalized by setting the transmit signal point t (n) as the target convergence point a (n) in the adaptive equalizer 256. This is a constellation of z (n). FIG. 7C shows a case where the received signal r (n) is adaptively equalized by setting the average point p (n) of the transmission signal point arrangement signal as the target convergence point a (n) in the adaptive equalization unit 256. Is the constellation of the equalizer output z (n). From FIG. 7, when adaptive equalization is performed by the receiving apparatus of this embodiment, the equalizer output z (n) after equalization is the average point of the transmission signal point arrangement signal rather than the transmission signal point t (n). It can be seen that the convergence is closer to p (n).

  FIG. 8 shows a simulation result of C / N vs. bit error rate characteristics, where the horizontal axis indicates C / N and the vertical axis indicates the bit error rate (BER). Each graph in FIG. 8 is as follows. The graph indicated by I is the C / N vs. bit error rate characteristic without adaptive equalization. The graph indicated by II is the C / N versus bit error rate characteristic when there is no adaptive equalization and the average point p (n) of the transmission signal point arrangement signal is used during LDPC decoding. In the graph shown by III, the target convergence point a (n) at the time of adaptive equalization with adaptive equalization is set to the transmission signal point t (n), and the average point p ( This is a C / N versus bit error rate characteristic when n) is used. The graph shown by IV indicates that the target convergence point a (n) at the time of adaptive equalization with adaptive equalization is set to the average point p (n) of the transmission signal point arrangement signal, and the transmission signal point arrangement signal at the time of LDPC decoding. This is a C / N vs. bit error rate characteristic when using an average point p (n). The C / N vs. bit error rate characteristic by the receiving apparatus of the present invention is a graph indicated by IV.

  From FIG. 8, the C / N vs. bit error rate characteristic IV) by the receiving apparatus of the present invention is improved over the C / N vs. bit error rate characteristics (I to III) by the conventional receiving apparatus. I can confirm that. Further, in the comparison of the graph shown by the graph IV shown by III showing the performance difference at the time of adaptive equalization, it can be seen that there is an improvement of about 0.9 dB at the bit error rate of 1.0E-5. Therefore, transmission performance can be improved by using the receiving apparatus according to the present invention for the signal after waveform equalization. The receiving apparatus according to the present invention is not limited to 32APSK, and can improve the transmission characteristics after waveform equalization for various modulation schemes having a plurality of amplitude levels (for example, 16APSK and 64APSK).

  Although the above embodiment has been described for the case where a specific satellite repeater, modulation scheme, and LDPC code are applied, the present invention is not limited to terrestrial repeaters, other modulation schemes, and any error correction that requires likelihood calculation. It is clear from the description of the embodiment that the present invention can be applied to the reference numerals. Accordingly, the invention is not to be construed as limited by the embodiments described above, but only by the claims.

  As described above, the present invention can suitably reduce transmission path distortion on the receiving side, and thus is useful for decoders and receiving apparatuses of any digital transmission system.

DESCRIPTION OF SYMBOLS 10 Transmission apparatus 11 Frame generation part 12 LDPC encoding part 13 Energy spreading part 14 Mapping part 15 Time division multiplexing / orthogonal modulation part 20 Reception apparatus 21 Channel selection part 22 Orthogonal detection part 23 Transmission control signal decoding part 24 Energy despreading part 25 , 26 LDPC decoder 30 Satellite repeater 31 Input multiplexer (IMUX) filter 32 Traveling wave tube amplifier (TWTA)
33 Output multiplexer (OMUX) filter 251 LDPC decoding unit 252 Transmission signal point arrangement signal extraction unit 253 Transmission signal point arrangement signal averaging unit 254 Likelihood table generation unit 255 Likelihood table 256 Adaptive equalization unit 2561 Feed forward filter 2562 Adder 2563 Determination unit 2564 Feedback filter 2565 Filter coefficient update unit

Claims (3)

A decoder for correcting errors after waveform equalization in digital transmission,
A transmission signal point arrangement signal extraction unit that extracts a signal point of a transmission signal point arrangement signal that is known information from a signal that has passed through the transmission path;
A transmission signal point arrangement signal averaging unit that generates an average point of the transmission signal point arrangement signal obtained by averaging the signal points of the transmission signal point arrangement signal;
An adaptive equalization unit that generates an adaptive equalization signal that suppresses waveform distortion that occurs in the transmission line, with the signal that has passed through the transmission line, with an average point of the transmission signal point arrangement signal as a target focusing point;
An error correction decoding unit for correcting an error of the adaptive equalization signal;
A decoder comprising:   The decoder according to claim 1, wherein the error correction decoding unit includes means for performing LDPC decoding using a decoder output log likelihood ratio calculated from an average point of the transmission signal point arrangement signal.   A receiving apparatus comprising the decoder according to claim 1.

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