基于星座软信息的猝发信号盲均衡算法

摘要

针对非协作通信中猝发类幅相调制信号先验信息少,数据量小,信噪比低等特点,该文在修正常模算法(MCMA)数据重用算法基础之上提出一种基于星座软信息的猝发信号盲均衡算法,采用接收信号的统计信息代替调制信息,并引入循环迭代的思想,实现了猝发信号的快速盲均衡.此方案不需要调制方式等先验信息,复杂度低,灵活性好,适合非合作接收条件.仿真表明,在抗噪声,抗频偏,抗相偏性能与传统算法基本保持一致的前提下,该文算法在收敛速度,稳态误差等方面均优于原算法,对深衰落信道效果显著,可应用于工程实践.%For the characteristics of amplitude and phase-modulated signals in non-cooperative burst communication like less known information,less data,and low signal to noise ratio,Modified Constant Modulus Algorithm (MCMA) is concentrated on and a blind equalization algorithm is designed based on soft constellation information.The proposed algorithm could achieve a quick blind equalization while just using the statistics of the samples of the receiver and adopting the ideology of cyclic iteration.The scheme has a lower complexity,better flexibility while disregarding the modulation type,which made it a good choice for non-cooperative condition.The simulation indicates that the new algorithm has a superior on existing algorithms in converging speed,equalization result,and durability while keeping the performance on defensing noise,frequency offset and phase offset,and can be applied into engineering practice.