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将时频分析和重叠变换结合,提出了一种新的直接序列扩频通信窄带干扰抑制算法。通过重叠变换将多分量信号分解成为一系列单分量信号并通过维格纳分布去确定单分量干扰的频率,在此基础上设计一自适应滤波器抑制掉干扰。这种方法对平稳信号和非平稳信号同样适用。给出相应的计算机仿真结果,并与其它变换域算法进行了比较。
Combining time-frequency analysis and overlap transformation, a novel narrowband interference suppression algorithm for direct sequence spread spectrum communication is proposed. The multi-component signal is decomposed into a series of single-component signals by overlap transformation and the frequency of single-component interference is determined by Wigner distribution. On the basis of this, an adaptive filter is designed to suppress the interference. This method is equally applicable to both stationary and non-stationary signals. The corresponding computer simulation results are given and compared with other transform domain algorithms.