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GMSK混合信号的PSP盲分离算法
PSP blind separation algorithm for GMSK mixed signals
投稿时间:2014-01-19  修订日期:2014-04-01
中文关键词:GMSK混合信号  线性近似  盲分离  逐幸存路径处理
英文关键词:GMSK mixing signals  linear approximation  blind separation  Per-Survivor Processing
基金项目:国家重大科技专项基金资助项目(2009ZX03003-005-01)
作者单位
张 豪 Information System Engineering InstituteInformation Engineering UniversityZhengzhou Henan 450002China 
杨育红 Information System Engineering InstituteInformation Engineering UniversityZhengzhou Henan 450002China 
辛 刚 Information System Engineering InstituteInformation Engineering UniversityZhengzhou Henan 450002China 
杜 森 Information System Engineering InstituteInformation Engineering UniversityZhengzhou Henan 450002China 
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中文摘要:
      针对GMSK混合信号的单通道盲分离问题进行了研究。由于不能直接采用逐幸存路径处理(PSP)算法对GMSK混合信号进行分离,考虑对GMSK信号作线性近似处理,使得GMSK混合信号适用于PSP算法。该算法通过在符号序列和信道参数组成的联合空间进行最大似然估计,保留最优路径,输出符号对,从而获得分离信号。仿真结果表明,使用PSP算法对GMSK混合信号进行分离的误码率性能略优于粒子滤波算法误码率性能,但复杂度远低于粒子滤波算法。
英文摘要:
      The single-channel blind separation of GMSK(Gaussian Minimum Shift Keying) mixing signals is researched. The GMSK mixing signals can not be separated by the Per-Survivor Processing (PSP) algorithm directly, therefore, linear approximation processing of the GMSK signal is considered, which enables GMSK signal to be separated by the PSP algorithm. This algorithm separates the GMSK mixing signals by maximum likelihood estimation in the joint space of the symbol sequential and the channel parameters, reserves the best path and outputs the symbol pairs to get the separated signals. Simulation results show that the bit error rate performance produced by the PSP algorithm on separating the GMSK mixing signals is slightly better than that produced by the particle filtering algorithm; and the complexity of the proposed PSP algorithm is much smaller.
引用本文:张 豪,杨育红,辛 刚,杜 森.GMSK混合信号的PSP盲分离算法[J].太赫兹科学与电子信息学报,2015,13(1):142~147
DOI:10.11805/TKYDA201501.0142
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