基于双PN周期的短码DS-SS信号扩频波形及信息序列盲估计方法

摘要

Aiming at improving the validity of blind dispreading DS-SS signal, the blind spread-spectrum and information sequence estimation of DS-SS signals is studied in this paper. Based on double PN periods, a new method of blinding estimate PN sequence and information sequence jointly was presented. The advantage of the algorithm is that it can estimate the PN sequence and information sequence jointly, with less computational cost. Compared with the traditional methods, this algorithm avoids the problem of phase ambiguity when the whole PN sequences are reconstructed using the two parts of spread-spectrum waveforms, which can highly improve the validity of blind estimation. The simulation results verify the validity of this algorithm.%针对短码DS-SS信号盲解扩,研究了DS-SS信号的扩频波形及信息序列盲估计问题,提出一种基于双PN周期分解的扩频波形与信息序列联合盲估计算法,该算法在低信噪比条件下同时完成扩频波形和信息序列的估计,计算量小,且避免传统方法利用单PN周期分解时扩频序列连接的相位模糊等问题,提高了肓估计的正确率.最后仿真验证了算法的有效性.