基于PSP的AIS混合信号分离与检测联合估计

目前对于用一种算法来联合处理AIS信号分离与检测过程的研究甚少。据此提出基于Per-Survivor-Processing(PSP)的AIS混合信号分离与检测联合估计方法。在混合信号相对时延较大时,首先利用幅度极值点检测,将混合信号分为重叠段和未重叠段。对重叠段信号进行线性近似处理后,使用PSP进行盲分离,对分离后的重叠段信号和未重叠段信号进行PSP检测。检测完成后,根据AIS信号特定的消息格式将原始信号恢复。当相对时延较小时,分段处理和不分段处理的性能差异不大,为降低复杂度则直接联合处理。仿真结果表明,上述方法不但能联合分离与检测的处理过程,而且误码率量级很低。因此该方法具有十分重要的研究意义。

Combined Estimation of AIS Mixed Signal Separation and Detection Based on PSP

At present,there is little research on using an algorithm to jointly process AIS mixed signals.On this basis,a combined method of AIS signal separation and detection estimation based on Per-Survivor–Processing(PSP)is proposed in this paper.When the mixed signal had a large relative time delay,the mixed signal was first detected by using the amplitude extreme point,and the mixed signal was divided into the overlapped segment and the unoverlapped segment.After the linear approximate processing of the overlapped signals,the blind separation was carried out using PSP,and the signals in the overlapped and unoverlapped segments were detected by PSP.After detection,the original signal was restored according to the specific message format of AIS signal.When the relative time delay was small,the simulation results of piecewise processing and non-piecewise processing had little difference,and the joint processing was directly performed to reduce the complexity.Simulation results show that this method can not only combine the process of separation and detection,but also has low bit error rate.Therefore,this method has very important research significance.