ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Blind identification of RSC code based on genetic algorithm
Received date: 2017-03-15
Revised date: 2017-07-07
Online published: 2017-07-07
To address the problems of poor performance and heavy computation in blind identification of Recursive Systematic Convolutional (RSC) code, a new algorithm for blind identification of RSC polynomial parameters is proposed based on the genetic algorithm. Considering the special structure of RSC code, the identification model is constructed based on the genetic algorithm. The weight of the result vector is used as fitness function, and the theoretical value of the average code weight is derived at different Bit Error Rates, as the results. The optimal threshold is then obtained. The performance of the proposed algorithm is good, and the maximum amount of calculation is only proportional to the initial population size, genetic generations, and paths of outputs. The simulation results show that the theoretical derivation of the code weight is in good agreement with the simulation results, and the recognition rate of the RSC code is close to 0.9 at different number of registers when the Bit Error Rate is up to 0.06.
ZHANG Limin , WU Zhaojun , ZHONG Zhaogen . Blind identification of RSC code based on genetic algorithm[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017 , 38(11) : 321246 -321246 . DOI: 10.7527/S1000-6893.2017.321246
[1] MUKHTAR H, AL-DWEIK A, SHAMI A. Turbo product codes:Applications, challenges, and future directions[J]. IEEE Communications Surveys & Tutorials, 2016, 18(4):3052-3069.
[2] LI H, GAO Z, ZHAO M, et al. Partial iterative decode of turbo codes for on-board processing satellite platform[J]. IEEE Journals & Magazines, 2015, 12(11):1-8.
[3] 任亚博, 张健, 刘以农. 高误码率下Turbo码交织器的恢复方法[J]. 电子与信息学报, 2015, 37(8):1927-1930. REN Y B, ZHANG J, LIU Y N. Reconstruction of turbo-code interleaver at high bit error rate[J]. Journal of Electronics& Information Technology, 2015, 37(8):1927-1930(in Chinese).
[4] 刘俊, 李静, 彭华. 基于校验方程平均符合度的Turbo码交织器估计[J]. 电子学报, 2016, 44(5):1213-1217. LIU J, LI J, PENG H. Estimation of turbo-code interleaver based on average conformity of parity-check equation[J]. Acta Electronica Sinica, 2016, 44(5):1213-1217(in Chinese).
[5] 谢辉, 黄知涛, 王峰华. 信道编码盲识别技术研究进展[J]. 电子学报, 2013, 41(6):1166-1176. XIE H, HUANG Z T, WANG F H. Research progress of blind recognition of channel coding[J]. Acta Electronica Sinica, 2013, 41(6):1166-1176(in Chinese).
[6] BARBIER J. Reconstruction of turbo-code encoders[J]. The International Society for Optical Engineering, 2005, 5819:463-473.
[7] 解辉, 王峰华, 黄知涛, 等. 基于改进欧几里得算法的卷积码快速盲识别算法[J]. 国防科技大学报, 2012, 34(6):159-162. XIE H, WANG F H, HUANG Z T, et al. A fast method for blind recognition of convolutional codes based on improved Euclidean algorithm[J]. Journal of National University of Defense Technology, 2012, 34(6):159-162(in Chinese).
[8] 邹艳, 陆佩忠. 关键方程的新推广[J]. 计算机学报, 2006, 29(5):711-718. ZOU Y, LU P Z. A new generalization of key equation[J]. Chinese Journal of Computers, 2006, 29(5):711-718(in Chinese).
[9] 刘健, 王晓军, 周希元. 基于Walsh-Hadamard变换的卷积码盲识别[J]. 电子与信息学报, 2010, 32(4):884-888. LIU J, WANG X J, ZHOU X Y. Blind recognition of convolutional coding based on walsh hadamard transform[J]. Journal of Electronics & Information Technology, 2010, 32(4):884-888(in Chinese).
[10] DEBESSU Y G, WU H C, JIANG H. Novel blind encoder parameter estimation for turbo codes[J]. IEEE Communications Letters, 2012, 16(16):1917-1920.
[11] 于沛东, 李静, 彭华. 一种利用软判决的信道编码识别新算法[J]. 电子学报, 2013, 41(2):302-305. YU P D, LI J, PENG H. A novel algorithm for channel coding recognition using soft decision[J]. Acta Electronica Sinica, 2013, 41(2):302-305(in Chinese).
[12] 武恒洲, 罗霄斌, 刘杰. Turbo码盲识别技术研究[J].无线电工程, 2015, 45(5):24-27. WU H Z, LUO X B, LIU J. Research on blind recognition of turbo codes[J]. Journal of Radio Engineering, 2015, 45(5):24-27(in Chinese).
[13] 张旻, 陆凯, 李歆昊, 等.归零Turbo码的盲识别方法[J]. 系统工程与电子技术, 2016, 38(6):1424-1427。ZHANG M, LU K, LI X H, et al. Blind recognition method for the turbo codes on trellis termination[J]. Journal of Systems Engineering and Electronics, 2016, 38(6):1424-1427(in Chinese).
[14] QIU M, ZHONG M, LI J, et al. Phase-change memory optimization for green cloud with genetic algrithm[J]. IEEE Transactions on Computers, 2015, 64(12):3528-3540.
[15] 杨振强, 王常虹, 庄显义. 自适应复制、交叉和突变的遗传算法[J]. 电子与信息学报, 2000, 22(1):112-117. YANG Z Q, WANG C H, ZHUANG X Y. The adaptive genetic algorithms of copy, intersect and mutation[J]. Journal of Electronics & Information Technology, 2000, 22(1):112-117(in Chinese).
[16] 林晓娴, 王维欢. SIMD-BF模型上的并行FWHT算法研究[J]. 计算机时代, 2011(1):30-32. LIN X X, WANG W H. A study of parallel FWHT algorithm based on SIMD-BF model[J]. Computer Era, 2011(1):30-32(in Chinese).
/
| 〈 |
|
〉 |
CJA