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

• 科研通信 • 上一篇    下一篇

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. 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. 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: 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

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