基于旋转变换法的雷达信号分选

Radar Signals Sorting Based on Rotating Transform

在电子对抗条件下，如何在密集的电磁环境中实时地分离出各雷达辐射源信息、得到正确的测量参数是进行雷达对抗的关键。独立分量分析（ICA）是根据信号源的基本统计特征，由观测数据进行信号分离，最终恢复出源信号。由于传统的多参数分选方法很难满足实时性的要求，文中研究分析了基于旋转变换的思想，将独立分量法应用到雷达信号分选中来，并给出了雷达辐射源的独立分量法的数学模型、算法和仿真分析，获得了比较好的雷达信号分选效果。

How to separate the radar radiating points in real time in the dense electromagnetic environment and get the correct measurement result is the key of the radar jamming. Independent component analysis depends on the source signal statistical characteristics to sort the signals from the observation data and recovers the source signal in the end. Traditional methods of signals sorting can not meet real-time requirements. In this paper, the method of rotating transform is researched and analyzed and Independent Component Analysis （ICA） is applied to radar signal sorting and the mathematical model of Radar Radiating-Source is established and the algorithms and simulation are given out. The simulation results show its good effect of the radar signal sorting.