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。 Aiming at the characteristics of less a priori information, small amount of data and low signal-to-noise ratio of the burst-like phase-modulated signal in non-cooperative communication, this paper presents a new algorithm based on constellation soft information The algorithm uses the statistical information of the received signal instead of the modulation information and introduces the idea of ​​cyclic iteration to realize the fast blind equalization of the burst signal. This scheme does not need prior information such as modulation mode, low complexity, good flexibility, suitable for non-cooperative reception conditions. The simulation results show that the proposed algorithm is superior to the original algorithm in terms of convergence rate and steady-state error under the premise of anti-noise, anti-skew, anti-phase deviation and the traditional algorithm, Can be applied to engineering practice.