一种多维Turbo码盲识别方法
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摘要
多维Turbo码由于具有较高的编码增益和可靠的信息传输性能,在信号衰减较为严重的通信场景下得到了广泛应用,如深空通信中。通过分析多维Turbo码编码器结构,提出了一种基于编码器结构分解的盲识别算法,并对待识别数据通过分流建立识别模型进行降维处理,将其转化为经典Turbo码盲识别问题。最后,在此基础上完成多维Turbo码子编码器参数、交织参数等盲识别分析。结果表明,相关研究成果在智能通信领域和电子对抗领域具有较大的应用价值。
Due to its fairly high coding gain and reliable information transmission performance, multidimensional Turbo codes are widely used in communication scenarios with severe signal attenuationsuch as in deep space communication. By analyzing the multi-dimensional Turbo-code encoder structure, a blind recognition algorithm based on encoder structure decomposition is proposed, and the trcognition model is established by shunting, thus to realize dimensionality reduction and transformation into classic Turbocode blind identification problem of the identification data. On this basis, the blind identification analysis of multi-dimensional Turbo-code sub-encoder parameters and interleaving parameters is done.The experiment results indicate that the relevant research results have great application value in the fields of intelligent communication and electronic countermeasure.
Due to its fairly high coding gain and reliable information transmission performance, multidimensional Turbo codes are widely used in communication scenarios with severe signal attenuationsuch as in deep space communication. By analyzing the multi-dimensional Turbo-code encoder structure, a blind recognition algorithm based on encoder structure decomposition is proposed, and the trcognition model is established by shunting, thus to realize dimensionality reduction and transformation into classic Turbocode blind identification problem of the identification data. On this basis, the blind identification analysis of multi-dimensional Turbo-code sub-encoder parameters and interleaving parameters is done.The experiment results indicate that the relevant research results have great application value in the fields of intelligent communication and electronic countermeasure.
引文
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[12]范雪林,王菊,胥桓.一种双二元Turbo码盲识别方法[J].通信技术,2016,49(06):662-667.FAN Xue-lin,WANG Ju,XU Huan.A Blind Recognition Method for the Double-binary Turbo Coding Parameter[J].Communications Technology,2016,49(06):662-667.
[2]戚林,郝士琦,李今山.基于有限域欧几里德算法的RS码识别[J].探测与控制学报,2011,33(02):63-67.QI Lin,HAO Shi-qi,LI Jin-shan.Recognition Method of RS Codes Based on Enclidean Algorithm in Galois Field[J].Journal of Detection&Control,2011,33(02):63-67.
[3]甘露,周攀.基于中国剩余定理分解的RS码快速盲识别算法[J].电子与信息学报,2012,34(12):2837-2842.GAN Lu,ZHOU Pan.Fasr Blind Recognition Method of RS Codes Based on Chinese Remainder Theorem Decomposition[J].Journal of Electronics&Information Technology,2012,34(12):2837-2842.
[4]Marazin M,Gautier R,Burel G.Dual Codemethod for Blind Identification of Convolutional Encoder for Cognitive Radio Receiver Design[C].Proceedings of the 5th IEEEBroadband Wireless Access Workshop,2009.
[5]Soteh A G,Bizaki H K.On the Analytical Solution of Rank Problem in the Convolutional Code Identification Context[J].IEEE Communications Letters,2016,20(03):644-647.
[6]刘健,王晓君,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(04):884-888.LIU Jian,WANG Xiao-jun,ZHOU Xi-yuan.Blind Recognition of Convolutional Coding Based on Walsh Hadamard Transform[J].Journal of Electronics&Information Technology,2010,32(04):887-888.
[7]刘健成,杨晓静.基于求解校验序列的(n,1,m)卷积码盲识别[J].电子与信息学报,2012,34(10):2363-2368.LIU Jian-cheng,YANG Xiao-jing.Blind Recognition of(n,1,m)Convolutional Code Based on Solving CheckSequence[J].Journal of Electronics&Information Techno logy,2012,34(10):2363-2368.
[8]刘健成,杨晓静.基于改进欧几里德算法的(n,1,m)卷积码识别[J].探测与控制学报,2012,34(01):64-68.LIU Jian-cheng,YANG Xiao-jing.Recognition of(n,1,m)Convolutional Code Based on Improved Euclidean Algorithm[J].Journal of Detection&Control,201234(01):64-68.
[9]底强,苏彦兵,刘杉坚.基于改进高斯法的卷积码盲识别方法[J].通信技术,2012,45(250):68-74.DI Qiang,SU Yan-bing,LIU Shan-jian.Blind Recognition of Convolution Code based on Improved Gauss Algorithm[J].Communications Technology,201245(250):68-74.
[10]Ali N,Omid A,Samad F.Blind Recognition Algorithm of Turbo Codes for Communication Intelligence Systems[J].International Journal of Computer Science Issues,2011,8(06):68-72.
[11]张永光.一种Turbo码参数的盲识别方法[J].西安电子科技大学学报,2011,38(04):167-172.ZHANG Yong-guang.Blind Recogniton Method for the Turbo Parameter[J].Journal of Xidian University,2011,38(04):167-172.
[12]范雪林,王菊,胥桓.一种双二元Turbo码盲识别方法[J].通信技术,2016,49(06):662-667.FAN Xue-lin,WANG Ju,XU Huan.A Blind Recognition Method for the Double-binary Turbo Coding Parameter[J].Communications Technology,2016,49(06):662-667.