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作 者:李侃[1] 夏畅雄 高峰 LI Kan;XIA Changxiong;GAO Feng(Southwest Institute of Electronic Equipment,Chengdu,Sichuan 610036,China;School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu,Sichuan 611731,China)
机构地区:[1]西南电子设备研究所,四川成都610036 [2]电子科技大学信息与通信工程学院,四川成都611731
出 处:《自动化应用》2024年第22期14-17,共4页Automation Application
摘 要:针对AIS、ACARS信号在低信噪比条件下的解调误码率较高导致信息解译失败的问题,提出了一种基于差分解调和CRC检验纠错的AIS、ACARS信号处理方案。该方案以1 bit、2 bit差分反馈解调结果为基础,将解调星座图中与判决门限距离最近的点进行遍历,获取所有可能的判决组合情况,然后分别进行CRC校验,若校验通过则认为该组合情况为正确结果,进行信息解译。结果表明,该方法较2 bit差分反馈解调算法有3 dB左右的性能提升,较1 bit差分反馈解调算法有5 dB左右的性能提升。Aiming at the problem that the high demodulation BER of AIS and ACARS signals under low SNR conditions leads to the failure of information decoding,a method for processing AIS and ACARS signals based on differential demodulation and CRC check error correction is proposed.The method is based on 1 bit,2 bit differential feedback demodulation results,the demodulation constellation diagram with the closest point to the judgement threshold distance is traversed to obtain all the possible judgement combination cases,and then the CRC check is carried out respectively,and if the check passes,then it is regarded that the combination case is the correct result,and information decoding is carried out.The results show that this method has about 3 dB performance improvement over the 2 bit differential feedback demodulation algorithm and about 5 dB performance improvement over the 1 bit differential feedback demodulation algorithm.
分 类 号:TN911.3[电子电信—通信与信息系统]
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