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联合压缩感知与ICI补偿的BICM-ID干扰抑制法

刘海涛,曾伟忠   

  1. (taptap下载安装安卓天津市智能信号与图像处理重点实验室,天津300300)
  • 收稿日期:2017-02-28 修回日期:2017-04-20 出版日期:2018-02-24 发布日期:2018-01-17
  • 作者简介:刘海涛(1966—),男,河北沧州人,教授,博士,研究方向为航空宽带数据链.
  • 基金资助:
    国家自然科学基金项目(U1633108)

BICM-ID interference mitigation based on joint compressed sensing and ICI compensation

LIU Haitao, ZENG Weizhong   

  1. (Intelligent Signal and Image Processing Key Lab of Tianjin, CAUC, Tianjin 300300, China)
  • Received:2017-02-28 Revised:2017-04-20 Online:2018-02-24 Published:2018-01-17

摘要: 针对测距仪脉冲信号干扰L频段数字航空通信系统1(L-DACS1)OFDM接收机的问题,提出了基于联合压缩感知与子载波间干扰(ICI)补偿的比特交织编码调制-迭代译码(BICM-ID)干扰抑制方法。首先,接收机译码器输出的码字比特软信息交织后计算得到发送符号的软估计值,然后利用信道频率响应重构接收信号的时域波形,并基于脉冲熄灭位置信息对熄灭信号进行时域补偿;迭代收敛后,将来自ICI 补偿支路的软信息送入压缩感知支路,同时,将来自压缩感知支路译码器输出的软信息送入ICI 补偿支路,完成迭代译码。仿真结果表明:该方法可有效抑制DME 脉冲干扰,提高L-DACS1 链路传输的可靠性。

关键词: 子载波间干扰, 比特交织编码调制-迭代译码, 压缩感知

Abstract: To mitigate the deleterious influence of DME (distance measure equipment) interference on OFDM (orthogonal frequency division multiplexing) receiver of L-DACS1 (L-band digital aeronautical communications system 1), a method of BICM-ID interference mitigation based on joint compressed sensing and ICI compensation is proposed. Firstly, soft-symbols are calculated based on interleaved codeword bit soft-information of codeword bit from soft-decoder. Then, the received signal is reconstructed with soft-symbols and frequency response of channel. Blanked samples are compensated with the reconstructed received signal and the position information of blanked samples. After iteration convergence, the soft-information from ICI compensation branch is sent to compressed sensing. At the same time, soft-information from the branch of compressed sensing is sent to the branch of ICI compensation to complete iterative decoding. Simulation results show that the proposed method can significantly suppress the pulse interference of DME and improve the reliability of L -DACS1 system link transmission.

Key words: inter-carrier interference, bit-interleaved coded modulation with iterative decoding, compressed sensing

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