用于扩频信号提取的盲自适应频移滤波器

Blind Adaptive Frequency-shift Filtering for DS Signal Extraction

基于扩频信号的周期平稳特性,提出利用盲自适应频移滤波器(BA-FRESH)提取混杂在同类扩频干扰和白噪声中所需信号的方法。该滤波器不需要预先知道训练信号的统计特性。仿真实验证明,在有用信号和干扰的不同频谱重叠系数下,BA-FRESH滤波器均能够提高输出信噪比,在一定程度上提高扩频系统干扰容限,有利于进一步的信号处理。

Based on the cyclostationarity of the DS signals, the blind adaptive frequency shift filter （BA - FRESH） is proposed, which can extract the signals from spectrally overlapping interference and white noise. The filter also does not need the statistical knowledge of a training sisal. The simulation is showing that, under the different percentage of spectral overlap, BA - FRESH can improve the output SNR, elevate the jamming margin, to some degree, and facilitate further signal processing.