利用帧同步码的卷积交织器快速盲识别方法

doi:10.3969/j.issn.0372-2112.2018.06.038

电子学报 ›› 2018, Vol. 46 ›› Issue (6): 1530-1536.DOI: 10.3969/j.issn.0372-2112.2018.06.038

利用帧同步码的卷积交织器快速盲识别方法

于沛东¹, 彭华¹, 巩克现¹, 陈泽亮¹, 孙海飞²

1. 信息工程大学信息系统工程学院, 河南郑州 450001;
2. 中国人民解放军 63981部队, 湖北武汉 430000

收稿日期:2016-12-16 修回日期:2017-07-06 出版日期:2018-06-25
- 作者简介:
- 于沛东,男,1988年12月出生,湖南慈利人,解放军信息工程大学博士生,主要研究方向为信道编码参数分析.E-mail:yupeidong1234@foxmail.com;彭华,男,1973年8月出生,江西萍乡人,解放军信息工程大学教授、博士生导师,主要研究方向为软件无线电、通信信号处理等.
- 基金资助:
- 国家自然科学基金 (No.61401511）

Fast Blind Recognition of Convolutional Interleavers Based on Existence of Frame Sync Codes

YU Pei-dong¹, PENG Hua¹, GONG Ke-xian¹, CHEN Ze-liang¹, SUN Hai-fei²

1. Information Engineering University, Zhengzhou, Henan 450001, China;
2. 63981 Forces, Wuhan, Hubei 430000, China

Received:2016-12-16 Revised:2017-07-06 Online:2018-06-25 Published:2018-06-25

摘要/Abstract

摘要： 为实现前向纠错，数字无线通信系统广泛采用信道编码技术.信道编码盲识别是对编码参数的逆向识别.已有的利用帧同步码的卷积交织器盲识别方法运算复杂度较高，无法识别交织深度起点参数，并会在某些交织器参数和帧长条件下失效.已有方法的主要运算量存在于对交织序列帧同步码周期的盲识别步骤中.本文通过去除该步骤中存在的大量重复运算，得到了帧同步码周期的低复杂度盲识别方法；在此基础上，提出对交织序列的分段累加序列进行循环解卷积交织，在恢复帧同步码的同时识别交织参数.所提方法可在任意交织器和帧长条件下，实现对全部交织参数的识别.理论分析和仿真实验表明，新方法能够比已有方法节省约50%直至90%以上的运算量，同时抗噪能力显著提升2dB以上，在认知无线电等领域具有重要应用价值.

关键词: 无线通信, 认知无线电, 非合作通信, 信道编码, 盲识别, 卷积交织器, 帧同步

Abstract: Channel coding technology is widely used in digital wireless communication systems for forward error correction. Channel coding recognition means to reversely recognizing the coding parameters. For blind recognition of convolutional interleavers,the existing method based on the existence of frame sync codes has high computational complexity,and is not able to recognize the depth starting point. The method even fails for certain interleaver and frame length combinations. Its main computation is in recognizing the period of frame sync code in the interleaved sequence. In this paper,a low complexity method which avoids lots of repeated computation is developed for the period recognition. Then,a method called cyclic convolutional de-interleaving is proposed to de-interleave the partitioned-and-summed version of the interleaved sequence,and thus the frame sync code and the interleaver parameters are recovered in the meantime. The proposed methods are able to recognize the whole parameters for any interleaver and frame length combinations. Theoretical and simulation results show that,compared to the existing method,the proposed methods reduce the computational complexity by a percentage ranging from around 50% to more than 90%,and improves robustness against channel noise by more than 2dB,showing high application value in areas like cognitive radio.

Key words: wireless communication, cognitive radio, non-cooperative communication, channel coding, blind recognition, convolutional interleaver, frame synchronization

中图分类号:

TN911.7

于沛东, 彭华, 巩克现, 陈泽亮, 孙海飞. 利用帧同步码的卷积交织器快速盲识别方法[J]. 电子学报, 2018, 46(6): 1530-1536.

YU Pei-dong, PENG Hua, GONG Ke-xian, CHEN Ze-liang, SUN Hai-fei. Fast Blind Recognition of Convolutional Interleavers Based on Existence of Frame Sync Codes[J]. Acta Electronica Sinica, 2018, 46(6): 1530-1536.

参考文献

[1] LIN S,COSTELLO D J.Error Control Coding(Second Edition)[M].New Jersey,USA:Prentice Hall,2005.
[2] 解辉,王丰华,黄知涛.卷积交织器盲识别方法[J].电子与信息学报,2013,35(8):1952-1957. XIE Hui,WANG Feng-hua,HUANG Zhi-tao.A method for blind recognition of convolutional interleaver[J].Journal of Electronics & Information Technology,2013,35(8):1952-1957.(in Chinese)
[3] RAMSEY J L.Realization of optimum interleavers[J].IEEE Transactions on Information Theory,1970,16(3):338-345.
[4] VIJAYAKUMARAN S.Identifying block codes using Groebner bases[A].IEEE International Conference on Communications(ICC)[C].London,UK:IEEE,2015.4424-4430.
[5] 阔永红,曾伟涛,陈健.基于概率逼近的本原BCH码编码参数的盲识别方法[J].电子与信息学报,2014,36(2):332-339. KUO Yong-hong,ZENG Wei-tao,CHEN Jian.Blind identification of primitive BCH codes parameters based on probability approximation[J].Journal of Electronics & Information Technology,2014,36(2):332-339.(in Chinese)
[6] 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(3):644-647.
[7] 刘骏,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):1213-1218. LIU Jun,LI Jing,PENG Hua.Estimation of turbo-code interleaver based on average conformity of parity-check equation[J].Acta Electronic Sinica,2016,44(5):1213-1218.(in Chinese)
[8] MOOSAVI R,LARSSON E G.Fast blind recognition of channel codes[J].IEEE Transactions on Communications,2014,62(5):1393-1405.
[9] YU Pei-dong,PENG Hua,LI Jing.On blind recognition of channel codes within a candidate set[J].IEEE Communications Letters,2016,20(4):736-739
[10] 马钰,张立民.基于实时检测的扰码重建算法[J].电子与信息学报,2016,38(7):332-339. MA Yu,ZHANG Limin.Reconstruction of scrambler with real-time test[J].Journal of Electronics & Information Technology,2016,38(7):332-339.(in Chinese)
[11] MA Yu,ZHANG Limin,WANG Haotong.Reconstructing synchronous scrambler with robust detection capability in the presence of noise[J].IEEE Transactions on information Forensics and Security,2015,10(2):397-408.
[12] SICOT G,HOUCKE S.Blind detection of interleaver Parameters[J].Signal Processing,2009,89(4):450-462.
[13] LU L,LI K H,GUAN Y L.Blind detection of interleaver parameters for non-binary coded data streams[A].IEEE International Conference on Communications(ICC)[C].Dresden,Germany:IEEE,2009.1-4.
[14] LU L,LI K H,GUAN Y L.Blind identification of convolutional interleaver parameters[A].International Conference on Information and Communications Security[C].Beijing,China:IEEE,2009.1-5.
[15] 甘露,刘宗辉,廖红舒,等.卷积交织参数的盲估计[J].电子学报,2011,39(9):2173-2177. GAN Lu,LIU Zong-hui,LIAO Hong-shu,et al..Blind estimation of the parameters of convolutional interleaver[J].Acta Electronica Sinica,2011,39(9):2173-2177.(in Chinese)
[16] GAN L,LI D,LIU Z H,et al..A low complexity algorithm of blind estimation of convolutional interleaver parameters[J].Science in China Series F:Information Sciences,2012,55(10):1-9.
[17] 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):301-306. YU Pei-dong,LI Jing,PENG Hua.A novel algorithm for channel coding recognition using soft-decision[J].Acta Electronic Sinica,2013,41(2):301-306.(in Chinese)

利用帧同步码的卷积交织器快速盲识别方法

Fast Blind Recognition of Convolutional Interleavers Based on Existence of Frame Sync Codes

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	邢莉娟, 李卓, 张泽栋. 水声通信中极化码的应用研究[J]. 电子学报, 2022, 50(9): 2096-2101.
[2]	吴晓晓, 李刚强, 张胜利. 分布式协作频谱感知网络中恶意节点检测和定位方法研究[J]. 电子学报, 2022, 50(6): 1370-1380.
[3]	刘倩, 张昊, 宋莹炯, 王刚. 小样本条件下基于矩阵乘法和秩分析的LDPC参数估计方法[J]. 电子学报, 2022, 50(5): 1075-1082.
[4]	兰子林, 邹喜华, 白文林, 李沛轩, 李阳, 潘炜, 闫连山, 蒋灵明, 陈亮. 光载信息能量同传方案及其通信检测应用[J]. 电子学报, 2022, 50(4): 804-810.
[5]	许琦敏, 万峻, 何羚, 王茜. 基于高阶累积量和信号平方谱特征的复合调制信号盲识别[J]. 电子学报, 2022, 50(2): 426-431.
[6]	黎赛, 陈生海, 杨亮, 胡彦彬. 解码转发方案下混合RF-UWOC传输系统的性能分析[J]. 电子学报, 2022, 50(2): 391-395.
[7]	王玉龙, 吴迪, 胡涛. 一种同型空时分组码的识别算法[J]. 电子学报, 2022, 50(11): 2754-2764.
[8]	吴昭军, 张立民, 钟兆根, 刘仁鑫. 基于迭代消元的卷积码快速识别[J]. 电子学报, 2021, 49(6): 1108-1116.
[9]	孟乃宣, 孙君. 基于最佳虚拟网关的认知SCMA系统[J]. 电子学报, 2021, 49(4): 736-743.
[10]	樊养余, 王武营, 刘曦春. 光载无线通信链路拉格朗日乘子线性度优化[J]. 电子学报, 2021, 49(10): 1927-1933.
[11]	潘攀, 字张雄, 蔡军, 唐烨, 刘世硕, 谢青梅, 边兴旺, 冯进军. 用于高速无线通信的毫米波行波管[J]. 电子学报, 2020, 48(9): 1834-1840.
[12]	李美玲, 田莉莉, 杨晓霞, 李莹, 王安红, 董增寿, Sami Muhaidat, Mehrdad Dianati. 基于STBC的无线认知NOMA系统物理层安全性能研究[J]. 电子学报, 2020, 48(3): 463-469.
[13]	吴昭军, 张立民, 钟兆根, 金堃. 低信噪比下循环码识别[J]. 电子学报, 2020, 48(3): 478-485.
[14]	钟兆根, 吴昭军, 刘杰, 张立民. 高误码率下归零Turbo码帧结构识别[J]. 电子学报, 2019, 47(10): 2089-2097.
[15]	孙海洋, 陈珍, 杨冠男, 高波. 基于采样精度切换的毫米波无线通信空闲侦听机制研究[J]. 电子学报, 2018, 46(9): 2115-2122.