杂波协方差矩阵结构的融合估计方法

针对特定杂波背景下的最优或次优杂波协方差矩阵估计方法难以适应过渡杂波环境的问题,提出协方差矩阵结构的融合估计方法,通过调整参数涵盖现有的3种杂波协方差矩阵估计方法,并分析所提出方法对应的自适应归一化匹配滤波器的自适应特性.其次,确定了控制参数的经验公式,经验公式符合数值结果.最后,从估计精度、恒虚警率特性和检测性能3个方面对所提出方法和已有方法进行对比分析.仿真结果表明,在过渡杂波环境中,所提出方法的精度更高、检测效果更好,对实际杂波非高斯程度时空渐变性具有较强的适应能力.

A fusion estimation method for covariance matrix structure of clutter

This paper addresses the problem that the optimal or suboptimal clutter covariance matrix estimation method in the specific clutter background is difficult to adapt to the transitional clutter environment. Firstly, a fusion estimation method for the matrix covariance matrix structure, which covers three existing clutter covariance matrix estimation methods by adjusting the parameter, is proposed, and the adaptive characteristics of the adaptive normalized matched filter corresponding to the proposed method are analyzed and verified by simulation experiments. Then, the empirical formula of the parameter is determined, and it conforms to the numerical results. Finally, the proposed method and the existing methods are compared and analyzed from the aspects of estimation accuracy, constant false alarm rate and detection performance. The results show that the proposed method, which has strong ability to adapt to the temporal and spatial gradients of the clutter, has higher accuracy and better detection performance in the transitional clutter environment.