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中文摘要：
针对实际截获的短码直扩（Direct Sequence Spread Spectrum,DSSS）信号信噪比存在波动、以及在低信噪比下伪噪声（Pseudo Random,PN）码盲估计困难的问题,提出了分层解调与解扩的处理方法。该算法将信噪比存在较大起伏的信号分为两层进行处理,首先从筛选出的高信噪比信号中估计扩频周期、短码序列起始位两个参数,然后利用估计出的参数,通过滑动窗口法实现全部信号的盲解扩。算法直接对调制过的BPSK信号进行处理,不需要数字相干信号、不需要估计PN码序列。仿真实验表明,用于参数估计的部分信号信噪比为0dB时,可以实现信噪比大于等于-12dB的信号的准确解扩。
英文摘要：
Aiming at the fact that the signal-to-noise ratio（SNR） of real BPSK/DSSS signal often undulates,and that it is hard to estimate the pseudo-noise sequence under severe noisy circumstances,a method which hierarchically demodulate and despread signal was proposed.The algorithm firstly figured out the pseudo-noise sequence by using a sample from the received signal with high SNR,where coherent demodulation was employed.Then,by using the estimated pseudo-noise sequence the entire signal could be despread and demodulated in a cooperative way.Simulation showed the algorithm＇s performance curves under various SNR values,and the results showed that,by using the proposed method,effective despreading could be achieved when treating signal with undulating SNR values.
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