基于功率特征分组的空时自适应脉冲干扰抑制方法CSCD

脉冲干扰是一种常见的导航干扰类型,具有高带宽、突发性等特点,针对脉冲干扰的抑制具有较大难度。常规空时自适应处理不对接收信号类型进行区分,而是统一进行协方差矩阵估计及权值计算,存在抗脉冲干扰性能下降或失效的可能。针对以上问题,提出了一种基于功率特征分组的空时自适应处理方法。首先对接收数据进行功率检测,将信号采样数据分为有干扰数据组和无干扰数据组,然后对分组后的数据分别进行权值计算和滤波处理,最后将滤波后的数据按照采样顺序进行合并。该方法通过数据分组,提高了干噪比的统计计算准确度,增加了干扰零陷深度,实现了抗干扰能力的提升。理论分析和仿真实验均证明了该方法的有效性。

Space-Time Adaptive Pulse Interference Suppression Method Based on Power Characteristic Grouping

Pulse interference is a common type of navigation interference, which has the characteristics of high bandwidth and suddenness and is difficult to suppress. The normal space-time adaptive processing does not distinguish the received signal by type, but estimates the covariance matrix and calculates the weight uniformly, which might lead to the degradation or failure of anti-interference performance. To solve this problem, a space-time adaptive processing method based on power characteristic grouping is proposed. Firstly, the power of the received data is detected, and the received data are divided into ones with interference and ones without interference. Then, the weight calculation and filtering processing are carried out for the grouped data respectively. Finally, the filtered data are combined in the order of sampling. Through data grouping, this method improves the statistical calculation accuracy of the interference to noise ratio, increases the interference null depth and obtains the improvement of anti-interference ability. Both theoretical analysis and simulation results verify the effectiveness of the method.