KR101002849B1 - Method and Apparatus for Generating Training Sequence Codes in Communication System - Google Patents

Abstract

The present invention relates to a method and apparatus for generating training sequence codes in a communication system. According to the present invention, sequence A and sequence B, which are sequence pairs each having autocorrelation characteristics and cross-correlation characteristics, are generated, and the protection sequences A 'and B' generated by copying the last L symbols of sequences A and B are copied. The training sequence code is generated by placing them in the Most Significant Position (MSP) of the sequences A and B, respectively. The TSC according to the present invention can be extended to 16-QAM and 32-QAM employed in the GERAN system, and the TSC according to the present invention enables efficient data transmission / reception without degrading performance in the GERAN system.

GERAN, Training Sequence Code, Gloay Complementary Sequence, Similar Complementary Sequence

Description

Method and apparatus for generating training sequence codes in communication system {Method and Apparatus for Generating Training Sequence Codes in Communication System}

1 is a diagram illustrating a downlink transmitter structure of a general GERAN system.

2 is a diagram illustrating a receiver structure in a general GERAN system.

3 is a diagram illustrating a normal burst structure used in a conventional GERAN system.

4 illustrates a structure of a TSC according to an embodiment of the present invention.

5 illustrates a binary TSC set generated from a Golay complementary sequence according to the first embodiment of the present invention.

6 illustrates a binary TSC set generated from a periodic complementary sequence according to a second embodiment of the present invention.

7 is a flowchart illustrating a training sequence code generation procedure according to the first and second embodiments of the present invention.

8 illustrates a TSC structure according to another embodiment of the present invention.

9 illustrates a binary TSC set having a length of 31 symbols according to the first embodiment of the present invention.

10 illustrates a binary TSC set having a length of 31 symbols according to the second embodiment of the present invention.

The present invention relates to a method and apparatus for generating a training sequence code in a communication system, and more particularly, to a Global System for Mobile Communication (GSM) / Enhanced Data Rates for GSM Evolution (EDGE) Radio Access Network (RAN) system (hereinafter referred to as GERAN) system. The present invention relates to a method and apparatus for generating a training sequence code.

Current 3GPP (3 ^rd Generation Partnership Project) in TSG-GERAN meeting standard pushing the GERAN evolution to improve performance, such as data rate (Data Transmission Rate) and the spectral efficiency (Spectral Efficiency). In order to improve downlink and uplink performance, 16-QAM and 32-QAM, which are higher order Quadrature Amplitude Modulation (QAM) modulation schemes, are applied to conventional modulation schemes such as Gaussian Minimum Shift Keying (GMSK) and 8-Phase Shift Keying (PSK). Is added.

In addition, to increase the data rate and spectral efficiency, the symbol rate is added to the existing rate of 270.833 ksymbols / s and a new rate of 325 symbols / s is added. The new symbol rate, which is 1.2 times higher than the existing symbol rate, will be applied to both uplink and downlink and will be reflected in the GERAN standard in the second half of 2007.

As described above, in the conventional GERAN system, GMSK and 8-PSK modulation methods are used as modulation methods. In the GMSK method, the binary data is passed through a Gaussian low pass filter to limit the bandwidth, and the spectrum concentration is continuously changed between two frequencies by frequency modulation with a constant shift ratio. Is an excellent method with high out-of-band spectrum suppression. The 8-PSK scheme may increase frequency efficiency by modulating data to correspond to a phase shifted code of a carrier. As the encoding scheme used in the EDGE / EGPRS system, nine techniques for packet data traffic channels (PDTCH) are defined. The nine techniques are nine schemes from Modulation and Coding Schemes (MCSs) MCS-1 to MCS-9 for EDGE / EGPRS. In actual communication, one of various combinations of the modulation schemes and the encoding schemes is selected and used. MCS-1 to MCS-4 use GMSK modulation and MCS-5 to MCS-9 use 8-PSK modulation. The MCS scheme used for transmission depends on the quality of the measured channel.

1 illustrates a downlink transmitter structure of a general GERAN system.

Referring to FIG. 1, a radio link control (RLC) packet data block (RLC Block) is sent to a channel encoder (110), encoded by a convolutional code, and defined by a convolutional code. It is punctured according to the processing pattern and then sent to the interleaver 120. Data interleaved in the interleaver 120 is sent to a multiplexer 140 to allocate data to a physical channel. In addition, the RLC / MAC header information, the Uplink State Flag (hereinafter referred to as USF), and the Code Identifier bit 130 are also sent to the multiplexer 140. The multiplexer 140 distributes the collected data to four normal bursts and allocates each burst to a time slot of a time division multiple access (TDMA) frame. Data of each burst is modulated through a modulator 150, a training sequence code (hereinafter referred to as a TSC) is added in the training sequence rotation unit 160, and phase rotation is performed on the data to which the TSC is added. (Phase Rotation) is performed and then sent to the transmitter (170). Here, a detailed description of an apparatus, for example, a digital-to-analog converter, etc., which is additionally required for transmitting a modulated signal is omitted.

2 illustrates a receiver structure of a general GERAN system.

Referring to FIG. 2, the transmitted bursts are received in a time slot unit at a radio front end terminal 210 through a receiving antenna. The received data is sent to the training sequence reverse rotation unit 220 and the sequence buffering and reverse rotation unit 260, and buffering and phase reverse rotation are performed in the buffering and reverse rotation unit 260. The modulation scheme detection and channel estimator 270 estimates the modulation scheme detection and channel information using the data output from the buffering and reverse rotation unit 260. In the training sequence reverse rotation unit 220, a phase reverse rotation corresponding to an operation of the training sequence rotation unit 160 of the transmitter is performed on the received data. In the equalizer block 230, equalization and demodulation are performed based on the modulation scheme detection and the estimated channel information detected by the modulation scheme detection and channel estimator 270, and then transmitted to the inverse interleaver 240 to be reversed. Interleaving is performed. The deinterleaved data is transmitted to the channel decoder 250, and the data transmitted through the channel decoder 250 is restored.

3 illustrates a normal burst structure used in a conventional GERAN system.

As shown in FIG. 3, in transmitting data in a conventional GERAN system, a training sequence code (hereinafter referred to as TSC) composed of 26 symbols is located at the center of a normal burst structure. . Eight types of TSCs are defined in the standard and used in actual GSM networks and terminals, and one identical TSC is allocated in one cell. TSC is used in an equalizer for estimating radio channel state information at a receiver to remove noise and interference included in a received signal. In addition, the transmitter may perform link quality control (hereinafter referred to as LQC) by measuring and reporting channel quality or link quality from the TSC.

The conventional TSC is composed of codes having excellent autocorrelation properties. Therefore, the conventional TSC has a good characteristic when performing channel estimation on one channel without considering the interchannel interference. However, when designing a cell structure in a cellular system, carrier frequencies are reused at a sufficient distance in consideration of co-channel interference (hereinafter referred to as CCI). However, as the reuse frequency of the carrier frequency increases, the CCI increases, and the increase of the CCI has a significant effect on the channel estimation and signal detection performance. Therefore, in a cellular system such as GSM, it is desirable to estimate the correct channel using the Joint Channel Estimation method when severe CCI exists. In this case, cross-correlation properties between TSCs have a great influence on the performance of the joint channel estimation method. However, currently used TSCs of GERAN adopt a design method that does not consider any cross-correlation characteristics. Not only does it degrade system performance in CCI environment, but also higher-order modulation such as 16-QAM and 32-QAM used in GERAN evolution system. Extending the conventional TSC to the scheme may result in system degradation.

The technical problem to be achieved by the present invention is to propose a method and apparatus for generating a new TSC and the arrangement structure of the TSC to solve the shortcomings of the TSC commonly used in the conventional GERAN system.

Another object of the present invention is to provide a transmission and reception apparatus for efficient data transmission and reception in a GERAN system using a TSC according to the present invention.

Another object of the present invention is to provide a method of extending and applying a newly generated TSC to 16-QAM and 32-QAM employed in a GERAN system.

According to an embodiment of the present invention, there is provided a method of generating a training sequence code in a communication system, the method comprising: generating a sequence A and a sequence B, each having a sequence of autocorrelation and having a cross-correlation property, and the sequence A; Copying the last L symbols of to generate a protection sequence A ', copying the last L symbols of the sequence B to generate a protection sequence B', and the generated sequences A, B, A ', and B A process of generating all sequences having a structure of A'AB'B as candidates for the training sequence code using ',' and evaluating signal to noise ratio degradation of the training sequence code candidates to select at least one training sequence code It includes.

According to an embodiment of the present invention, an apparatus for transmitting data including a training sequence code in a communication system, comprising: an encoder for encoding packet data, a multiplexer for multiplexing a header and a training sequence code with the encoded data; And a transmitter for transmitting the multiplexed data, wherein the multiplexer generates a sequence A and a sequence B, each of which is a pair of sequences having autocorrelation characteristics and having a cross-correlation characteristic, and the last L symbols of the sequence A. To generate the protection sequence A ', copy the last L symbols of the sequence B to generate the protection sequence B', and using the generated sequences A, B, A ', B' Generating all sequences having a structure of 'AB' B as candidates of the training sequence codes, and the scenes of the training sequence code candidates; It evaluates to-noise ratio degradation generated through the step of selecting at least one training sequence code, and uses the stored training sequence code.
According to an embodiment of the present invention, an apparatus for receiving data including a training sequence code in a communication system, comprising: a receiver for receiving data including the training sequence code, and detecting the training sequence code from the data; A demodulation method detection and channel estimator for estimating a demodulation method and channel information, and a decoder for decoding the data according to the detected demodulation method and the estimated channel information, wherein the demodulation method detection and channel estimator, respectively, Generating sequence A and sequence B, which are sequence pairs having autocorrelation characteristics and cross-correlation characteristics, copying the last L symbols of the sequence A to generate a protection sequence A ', and the last L of the sequence B; Generating protection sequences B 'by copying two symbols; and generating the generated sequences A, B, A', and B '. Generating all sequences having a structure of A'AB'B as candidates of the training sequence codes, and evaluating signal to noise ratio degradation of the training sequence code candidates to select at least one training sequence code. Detect the selected training sequence code.
According to an embodiment of the present invention, there is provided a method for transmitting data including a training sequence code in a communication system, the method comprising: encoding packet data, multiplexing a header and a training sequence code to the encoded data; And transmitting the multiplexed data, wherein the multiplexing includes: generating a sequence A and a sequence B, each of which is a sequence pair having autocorrelation characteristics and having a cross-correlation characteristic, and the last L of the sequence A; Generating a protection sequence A 'by copying the number of symbols, generating a protection sequence B' by copying the last L symbols of the sequence B, and using the generated sequences A, B, A ', and B'. Generating all sequences having a structure of A'AB'B as candidates of the training sequence code, and a signal of the training sequence code candidates Evaluate the deterioration ratio to use the selected training sequence code by the step of selecting at least one training sequence code.
In addition, according to an embodiment of the present invention, in a method for receiving data including a training sequence code in a communication system, receiving a data including the training sequence code, and detecting the training sequence code from the data Estimating a demodulation method and channel information, and decoding the data according to the detected demodulation method and the estimated channel information, wherein the demodulation method detection and channel information estimation process respectively include autocorrelation characteristics. Generating sequence A and sequence B, which are sequence pairs having mutually correlated characteristics, copying the last L symbols of sequence A to generate a protection sequence A ', and copying the last L symbols of sequence B; Generating a protection sequence B 'and constructing A'AB'B using the generated sequences A, B, A', and B '. To detect the training sequence code selected by the process of evaluation by selecting at least one training sequence code, the process and, signal-to-noise ratio degradation of the training sequence code candidates to generate all of the sequence as a candidate of the training sequence code has.

The operation principle of the preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, detailed descriptions of well-known functions or configurations will be omitted if it is determined that the detailed description of the present invention may unnecessarily obscure the subject matter of the present invention. The following terms are defined in consideration of the functions of the present invention, and may be changed according to the intentions or customs of the user, the operator, and the like. Therefore, the definition should be based on the contents throughout this specification.

In the present invention, in designing a GERAN system and a TSC for application to a GERAN system, both autocorrelation and cross-correlation characteristics are considered, and Golay complementary sequences are used to find a suitable TSC. In addition, to evaluate the interference characteristics between sequences, signal-to-noise ratio (hereinafter referred to as SNR) degradation is introduced as a criterion. In addition, we introduce a min-max optimization method to find a binary TSC with excellent cross-correlation. For the minimum-maximum optimization method, refer to the contents described in Korean Patent Application No. 10-2007-0012983.

First, the TSC configuration according to the embodiment of the present invention will be described.

The present invention designs the TSC using Golay complementary sequences or quasi-complementary sequences. The TSC proposed in the present invention is generated to satisfy the TSC structure shown in FIG. 4 by using a sequence having a sequence A and B which are Golay or similar complementary sequences.

In FIG. 4, the guard sequences A 'and B' having a length of z are disposed in the Most Significant Position (MSP) of the sequences A and B, respectively. The protection sequences A 'and B' should be set as short as possible while at the same time an inter-symbol interference between the data symbols in the TSC within the same Timeslot (Inter-symbol Interference, or ISI), or sequences A and B It must have a length long enough to remove the ISI in the cavity. That is, the number of symbols in one protection sequence z must satisfy the condition of z? L-1. In this case, L is the number of taps of the channel.

, N'=2(N+L-1)일 때 CCI를 고려하지 아니한 경우, 수신기에서의 수신 신호 샘플은 다음 수학식 5로 표현할 수 있다. A sequence X having a length N 'is defined as a TSC designed using a complementary sequence pair A and B having a length N having a structure as shown in FIG. In other words,

When the CCI is not considered when N '= 2 (N + L-1), the received signal sample at the receiver may be expressed by Equation 5 below.

은 채널 메모리로 인하여 한 개의 버스트 내에서 데이터 심볼과 TSC 사이의 간섭을 제거하기 위한 z(이하에서 z = L-1을 사용함) 개의 길이를 갖는 보호심볼이다. 수학식 1을 벡터 형태로 표시하면

와 같다. 여기에서 잡음벡터는

이고, X는

차원을 갖는 행렬로서 다음 수학식 2와 같다.

Is a guard symbol of length z (hereinafter, z = L-1) for removing interference between the data symbol and the TSC in one burst due to channel memory. If Equation 1 is expressed in vector form

Same as Where the noise vector is

And X is

A matrix having dimensions, as shown in Equation 2 below.

Meanwhile, the channel estimate using a well-known Least-Squares Error Estimate is as shown in Equation 3 below.

In Equation 3, X ^t is the conjugate transpose matrix of X.

In GSM / EDGE, the channel tap length of the channel model is 6. Therefore, when the case of L = 6 will be described with an example, the received signal sample in the receiver can be expressed by the following equation (4).

In consideration of Equation 4, the TSC matrix is defined as Equation 5 below.

에서 y와 n 은 각각 (2N+1) 크기를 갖는 벡터이다. 따라서 수학식 5에 정의된 X를 사용하여 수학식 3으로부터 최소제곱오차추정을 계산할 수 있고, X^tX는 (L × L)크기를 갖는 비주기적 자기상관 행렬이 된다. 시퀀스 A와 B는 Golay 보완 시퀀스 또는 유사 보완 시퀀스이기 때문에,φ=X^tX는 대각성분 값이 2N인 대각행렬이 된다. Considering Equation 5,

Where y and n are vectors of size (2N + 1), respectively. Therefore, the least square error estimate can be calculated from Equation 3 using X defined in Equation 5, where X ^t X is an aperiodic autocorrelation matrix having a size of (L × L). Since sequences A and B are Golay complementary sequences or pseudo complementary sequences, φ = X ^t X is a diagonal matrix with a diagonal component value of 2N.

이라 정의하면, 두 동일 채널(Co-Channel) 신호에 대한 채널 임펄스 응답은

로 정의할 수 있다. 이 채널 임펄스 응답과 수학식 5를 이용하여 TSC 행렬을 다시 정의하면

과 같다. 따라서 CCI를 고려한 수신 신호는

가 되고, 결과적으로 최소제곱 채널 추정치는 수학식 6과 같이 계산된다. Assuming that there is one interference for each cell in the cellular communication system, the mutual cross-correlation characteristic between TSCs should be optimized for Joint Channel Estimation. The channel impulse response of the carrier and edge signals

In this case, the channel impulse response for two co-channel signals is

Can be defined as By redefining the TSC matrix using this channel impulse response and

Is the same as Therefore, the received signal considering CCI

As a result, the least-squares channel estimate is calculated as shown in Equation 6.

One criterion for evaluating the mean square error for the received signal may be SNR degradation (SNR Degradation in dB, hereinafter referred to as SNR_d). SNR-d is used to evaluate the cross-correlation property of TSCs, and is defined as in Equation 7 below.

In Equation 7, tr (φ ⁻¹ ) is the sum of the main diagonal components of the matrix φ ⁻¹ . When evaluating the cross-correlation property of the TSC, the smaller the SNR_d value is, the better.

Next, a method of finding a complementary sequence pair for A and B will be described with reference to Korean Patent Application No. 10-2007-0012983.

First, the Golay complementary sequence will be described. A well-known Golay complementary sequence can be found through computer search for a whole set of sequences having a relatively small length. That is, an Even-Shift Orthogonal Sequence with 2N lengths is uniquely determined from Golay complementary sequence pairs A and B with N lengths.

The present invention proposes a new TSC structure with two level signals. When generating TSCs, instead of considering aperiodic or non-periodic autocorrelation characteristics and cross-correlation characteristics, periodic correlation characteristics may be considered.

As shown in FIG. 4, the newly proposed TSC is generated based on a periodic complementary sequence. A method for finding an optimized TSC will be described through the following specific examples. The first and second embodiments of the present invention described below find eight different TSCs, each 26 symbols long, that can be used in the GERAN system. In FIG. 4, two sequences A 'and B' may be generated by copying the last L symbols of the two sequences A and B, respectively. That is, TSC is expressed as in Equation (8).

In the present invention, two embodiments of generating a sequence pair (A'A) and (B'B) in the TSC defined in Equation 8 will be described.

<First Embodiment>

First step: Search all sequences for two sequences A and B that satisfy the equation 9 and have aperiodic autocorrelation.

In Equation 9, R _A (k) represents the cross-correlation property of the sequence A. Considering a TSC having 26 symbol lengths in Equation 9, K = 5 and N = 8.

Second Step: By obtaining A 'and B' from the sequences A and B, TSC candidates having the structure shown in FIG. 4 are constructed.
If both sequences A and B are Golay complementary sequences, then sequences A and B are cyclic autocorrelation and complementary. Therefore, there is a characteristic of Equation 10 for periodic autocorrelation.

Step 3: For the TSC candidates generated in Step 2, the SNR degradation is optimized using the minimum-maximum optimization method described in Korean Patent Application 10-2007-0012938 and the required number of TSCs is found.

Step 4: Save the TSC found in step 3.

5 shows an example of a TSC set found according to the first embodiment of the present invention. This TSC set is an example suitable for the normal burst of GSM / EDGE.

Second Embodiment

First step: Searching for all sequences for two sequences A and B having a periodic autocorrelation property while satisfying Equation (10).

Second Step: By obtaining A 'and B' from the sequences A and B, TSC candidates having the structure shown in FIG. 4 are constructed.

Step 3: For the TSC candidates generated in Step 2, the SNR degradation is optimized using the minimum-maximum optimization method described in Korean Patent Application 10-2007-0012938 and the required number of TSCs is found.

Step 4: Save the TSC found in step 3.

6 shows an example of a TSC set found according to the second embodiment of the present invention. This TSC set is an example suitable for the normal burst of GSM / EDGE.

7 illustrates a training sequence code generation procedure according to an embodiment of the present invention.

Referring to FIG. 7, a sequence is searched for in step 701. In the first embodiment of the present invention, A and B having aperiodic autocorrelation characteristics are searched. In the second embodiment of the present invention, A and B having cyclic autocorrelation characteristics are searched.

In step 702, a TSC candidate having the structure shown in FIG. 4 is generated.

In step 703, the optimization is performed through SNR degradation evaluation of the generated TSC candidates. In this case, as the optimization method, the minimum-maximum optimization method described in Korean Patent Application 10-2007-0012938 may be used.

Finally, in step 704, the optimized TSC set is stored.

In the following description, an embodiment of generating TSCs having a length of 30 symbols by extending the above-described first and second embodiments will be described as a third embodiment, and generating a TSC having 31 symbols in length by extending the third embodiment. An embodiment to be described will be described as a fourth embodiment.

Third Embodiment

In the third embodiment of the present invention, a TSC having a length of 30 symbols having the structure shown in FIG. 4 is generated from the complementary sequence.

The length of the TSC is determined as N '= 2N + 10. If N = 10, the TSC symbol length is 30. If x is a TSC sequence having a length of 30 symbols, it is expressed by Equation 11 below.

In Equation 11, A and B and A 'and B' may be generated according to the first or second embodiment of the present invention.
A binary TSC having a length of 30 symbols generated as described above is the same as a result of omitting the first bit from each sequence TSC # shown in FIGS. 9 and 10.

Fourth Embodiment

In the fourth embodiment of the present invention, a TSC of 31 symbols is generated from a TSC of 30 symbols constructed according to the third embodiment of the present invention.
Assuming that sequence A '' is a copy of the last six symbols into sequence A, the structure of TSC having a length of 31 symbols is shown in FIG. 8A. It can be seen that A '' is a sequence longer by 1 symbol when compared to the sequence B '. In addition, as shown in FIG. 8B, A ′ may be maintained at 5 symbols and B ″ may be configured as 6 symbols. 8A and 8B have the same correlation characteristics. A TSC having a length of 31 symbols having the structure of FIG. 8A may be defined as in Equation 12 below.

이라 하면, 동일 채널 간섭(CCI)이 없는 상황에서 수신기에서의 수신 신호 샘플은

과 같다. Channel impulse response

In this case, in the absence of co-channel interference (CCI), the received signal sample at the receiver

Is the same as

이기 때문에,

의 관계가 성립한다. 그러므로 i=15에서의 수신 신호 샘플

는

에 의해서 구할 수 있다. 그런데 시퀀스 A'' 내의 부가적인 1개 심볼이, TSC의 자기 상관 특성을 저하시킬 수 있기 때문에, 이 심볼은 행렬 X에 포함되지 말아야 한다. i=6,...,14 및 i=21,...,30에 대하여

라 정의하면, 수신 신호의 수정된 수식을 벡터 형태로 표현하면

이 된다. 여기에서 n는 잡음벡터로 (20x1) 차원을 갖는 행렬이며, X는 다음 수학식 13과 같이 표현할 수 있다.By the way

Because

The relationship is established. Therefore, the received signal sample at i = 15

Is

Can be obtained by By the way, an additional one symbol in sequence A '' may degrade the autocorrelation characteristics of the TSC, so this symbol should not be included in the matrix X. About i = 6, ..., 14 and i = 21, ..., 30

In this case, if the modified equation of the received signal is expressed in vector form

Becomes Here, n is a noise vector as a matrix having a (20x1) dimension, and X can be expressed as Equation 13 below.

Therefore, Least-squares error estimates (LSEE) for the channel is expressed by Equation 14 below.

는 X의 켤레 변환(conjugate Transpose)이다. 두 개의 신호를 갖는 경우에 대하여도 행렬

는 심볼 길이가 30인 TSC인 경우와 비교하여 변하지 않는다. 그러므로 수학식 7에 따라 심볼 길이 30에 대한 TSC의 SNR 저하정도를 계산하여 얻은 결과를 상기에서 생성한 31 심볼 길이의 TSC에도 적용할 수 있다. In Equation 14

Is the conjugate transpose of X. Matrix even for two signals

Does not change compared to the case of TSC having a symbol length of 30. Therefore, the result obtained by calculating the SNR deterioration degree of the TSC for the symbol length 30 according to Equation 7 can be applied to the TSC having the 31 symbol length generated above.

Binary TSCs having the above description and the 31 symbol length generated by FIG. 8A are the same as those of FIGS. 9 and 10. In addition, a binary TSC having a length of 31 symbols based on FIG. 8B can be easily generated according to the above description.

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments, but is capable of various modifications within the scope of the invention. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined not only by the scope of the following claims, but also by those equivalent to the scope of the claims.

In the present invention operating as described in detail above, the effects obtained by the representative of the disclosed invention are briefly described as follows.

According to the present invention provides a TSC in consideration of autocorrelation characteristics and cross-correlation characteristics, the use of the TSC according to the present invention enables efficient data transmission and reception in the GERAN system without performance degradation. In addition, the TSC according to the present invention can be extended to 16-QAM and 32-QAM employed in the GERAN system.

Claims (14)

In the method for generating a training sequence code in a communication system, Generating sequence A and sequence B, which are sequence pairs each having autocorrelation characteristics and having a cross-correlation characteristic, Copying the last L symbols of the sequence A to generate a protection sequence A ', copying the last L symbols of the sequence B to generate a protection sequence B', Generating all sequences having a structure of A'AB'B as candidates for the training sequence code using the generated sequences A, B, A ', and B'; And selecting at least one training sequence code by evaluating signal to noise ratio degradation of the training sequence code candidates. The method of claim 1, The training sequence code is composed of 26 symbols, the sequence A and B are each composed of eight symbols, the sequence A 'and B' is composed of five symbols each training method. The method of claim 1, The training sequence code is composed of 30 symbols, the sequence A and B are each composed of 10 symbols, the sequence A 'and B' is composed of five symbols each training method. The method of claim 1, The training sequence code consists of 31 symbols, the sequences A and B each consist of 10 symbols, one of the sequences A 'and B' consists of 5 symbols, and the other consists of 6 symbols. Training sequence code generation method that is configured. An apparatus for transmitting data comprising a training sequence code in a communication system, the apparatus comprising: An encoder for encoding packet data, A multiplexer for multiplexing a header and a training sequence code to the encoded data; A transmitter for transmitting the multiplexed data, The multiplexer, Generating sequence A and sequence B, which are sequence pairs each having autocorrelation characteristics and having mutually correlated characteristics, copying the last L symbols of sequence A to generate a protection sequence A ', and ending the sequence B A process of generating a protection sequence B 'by copying L symbols, and using the generated sequences A, B, A', and B ', all sequences having a structure of A'AB'B may be included in the training sequence code. And using the selected training sequence code by generating as a candidate and evaluating signal to noise ratio degradation of the training sequence code candidates and selecting at least one training sequence code. The method of claim 5, The multiplexer includes 26 symbols, wherein the sequences A and B each comprise 8 symbols, and the sequences A 'and B' each use 5 training symbols. Transmitting device. The method of claim 5, The multiplexer is composed of 30 symbols, wherein the sequences A and B are each composed of 10 symbols, and the sequences A 'and B' are each using the training sequence code consisting of 5 symbols. Transmitting device. The method of claim 5, The multiplexer is composed of 31 symbols, the sequences A and B are each composed of 10 symbols, one of the sequences A 'and B' is composed of 5 symbols, and the other is composed of 6 symbols. And using said training sequence code. An apparatus for receiving data comprising a training sequence code in a communication system, the apparatus comprising: A receiver for receiving data comprising the training sequence code; A demodulation method detection and channel estimation unit for detecting the training sequence code from the data and estimating a demodulation method and channel information; A decoder that decodes the data according to the detected demodulation scheme and the estimated channel information, The demodulation method detection and channel estimation unit, Generating sequence A and sequence B, which are sequence pairs each having autocorrelation characteristics and having mutually correlated characteristics, copying the last L symbols of sequence A to generate a protection sequence A ', and ending the sequence B A process of generating a protection sequence B 'by copying L symbols, and using the generated sequences A, B, A', and B ', all sequences having a structure of A'AB'B may be included in the training sequence code. And detecting the selected training sequence code by generating as a candidate and evaluating signal to noise ratio degradation of the training sequence code candidates and selecting at least one training sequence code. 10. The method of claim 9, The demodulation detection and channel estimator comprises 26 symbols, the sequences A and B each comprise eight symbols, and the sequences A 'and B' each comprise five symbols. A receiving device, characterized by detecting. 10. The method of claim 9, The demodulation detection and channel estimator comprises 30 symbols, wherein the sequences A and B consist of 10 symbols, and the sequences A 'and B' each consist of 5 symbols. A receiving device, characterized by detecting. 10. The method of claim 9, The demodulation detection and channel estimation unit is composed of 31 symbols, wherein the sequences A and B are each composed of 10 symbols, one of the sequences A 'and B' is composed of 5 symbols, and the other is And receiving the training sequence code consisting of six symbols. A method of transmitting data comprising a training sequence code in a communication system, the method comprising: Encoding the packet data, Multiplexing a header and a training sequence code on the encoded data; Transmitting the multiplexed data; The multiplexing process, Generating sequence A and sequence B, which are sequence pairs each having autocorrelation characteristics and having mutually correlated characteristics, copying the last L symbols of sequence A to generate a protection sequence A ', and ending the sequence B A process of generating a protection sequence B 'by copying L symbols, and using the generated sequences A, B, A', and B ', all sequences having a structure of A'AB'B may be included in the training sequence code. And using the selected training sequence code through generating as a candidate and evaluating signal to noise ratio degradation of the training sequence code candidates and selecting at least one training sequence code. A method of receiving data comprising a training sequence code in a communication system, the method comprising: Receiving data including the training sequence code; Estimating a demodulation scheme and channel information by detecting the training sequence code from the data; Decoding the data according to the estimated demodulation method and channel information; The process of estimating the demodulation method and channel information, Generating sequence A and sequence B, which are sequence pairs each having autocorrelation characteristics and having mutually correlated characteristics, copying the last L symbols of sequence A to generate a protection sequence A ', and ending the sequence B A process of generating a protection sequence B 'by copying L symbols, and using the generated sequences A, B, A', and B ', all sequences having a structure of A'AB'B may be included in the training sequence code. And detecting the selected training sequence code by generating as a candidate and evaluating signal to noise ratio degradation of the training sequence code candidates and selecting at least one training sequence code.

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