小波去噪的低信噪比直扩信号扩频码盲估计算法
Blind-estimation of PN spreading sequence in lower SNR DS/SS signals based on wavelet denoise
本文针对低信噪比直扩信号扩频码的盲估计问题,提出了利用小波降噪的方法对直扩信号进行预处理,然后再分别运用特征值分解算法、神经网络算法和投影逼近子空间跟踪算法进行直扩信号扩频码序列的盲估计。分别比较了几种算法去噪前和去噪后扩频码序列恢复的性能,仿真结果表明,经过小波降噪处理的扩频码序列恢复算法能够工作在更低的信噪比条件下,使算法的应用更加广泛。
o aim at the problem of blind estimation of low-SNR DS/SS signals spreading sequence, this paper proposes to preprocess DS/SS signals applying to wavelet denoise approach, then eigenvalue decomposition algorithm、neural network algorithm and projection approximation subspace tracking algorithm are used to blind-estimation of DS/SS signals PN spreading sequence. A comparision of the performance of estimating spreading sequence before and after denoise in the algorithms is included in this paper. Computer simulation results show that the algorithms of estimating spreading sequence after wavelet denoise can work well for signals with lower SNR, and application of the algorithms will be more extensive.
吕明、唐斌、郭林
通信无线通信
小波变换去噪直扩信号扩频码序列盲估计算法
wavelet transformdenoiseDS/SS signalspreading sequenceblind estimation
吕明,唐斌,郭林.小波去噪的低信噪比直扩信号扩频码盲估计算法[EB/OL].(2008-04-24)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/200804-885.点此复制
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