CAJ | 학술논문

针对北斗卫星导航系统B1I信号中的BCH译码问题，该文提出一种校正子辅助的列表译码算法。首先，以校正子和汉明重量为准则构造若干错误模式列表；然后根据接收数据硬判决的校正子选择对应的错误模式列表；最后按照相关函数差测度搜索最优错误模式并译码。仿真结果表明，校正子辅助的列表译码算法在误码率510-时，与最大似然译码算法的信噪比仅差0.08 dB，说明该方法是北斗B1I信号BCH码的一种近优译码方法；另外，该方法具有线性复杂度和可并行实现的特点。
침대북두위성도항계통B1I신호중적BCH역마문제，해문제출일충교정자보조적렬표역마산법。수선，이교정자화한명중량위준칙구조약간착오모식렬표；연후근거접수수거경판결적교정자선택대응적착오모식렬표；최후안조상관함수차측도수색최우착오모식병역마。방진결과표명，교정자보조적렬표역마산법재오마솔510-시，여최대사연역마산법적신조비부차0.08 dB，설명해방법시북두B1I신호BCH마적일충근우역마방법；령외，해방법구유선성복잡도화가병행실현적특점。
A Syndrome-assisted list decoding algorithm for BCH codes of B1I navigation signal in China Beidou Satellite navigation system is proposed. First, error pattern lists are built based on syndrome and Hamming weight. Then, the syndrome of hard-decision sequence is used to select the list for decoding. Finally, the optimal error pattern is found for decoding by using correlation function difference metric. The results of simulation show that, the difference of SNR between proposed algorithm and Maximum-Likelihood (ML) decoding is less than 0.08 dB at BER of 510- which illustrates that the syndrome-assisted list decoding algorithm is a near optimal decoding algorithm for BCH codes of Beidou B1I signal. Additionally, the new algorithm is linear complexity and can be parallel implemented.