基于盲辨识和盲均衡的直扩信号伪码估计方法

摘要

为了解决多径信道下直接序列扩频信号的伪码盲估计问题,在直扩信号等效联合信道模型的基础上,提出一种信道盲辨识与数据重用盲均衡相结合的伪码盲估计方法.该方法利用信道盲辨识方法估计得到等效联合信道,通过数据重用盲均衡进一步估计出伪码.理论分析与仿真验证表明,该方法在低信噪比条件下仍然可实现对多径直扩信号伪码序列的准确盲估计,并且对于m、Gold、M序列等不同伪码具有广泛适应性.%In order to solve the problem of blindly estimation of pseudo random (PN ) sequence for direct sequence spread spectrum (DSSS) signal in multipath channel, on the basis of equivalent combined impulse response of the channel model, this paper proposed a blind estimation algorithm combined blind channel identification and data-reusing blind equalization. This method estimated the equivalent combined impulse response of the channel using blind identification, it estimated the PN sequence using data-reusing blind equalization. Theoretical analysis and simulation results prove that the proposed algorithm can realize accurate blind estimation of PN sequence in multipath channel and low SNR, and show extensive adaptability to a variety of PN sequence including m sequence, Gold sequence and M sequence.