一种新的基于网格聚类的雷达信号预分选算法

New Radar Signal Pre-Sorting Algorithm Based on Grid Clustering

雷达信号分选一直是雷达对抗情报处理中的难题,将网格聚类应用于雷达信号预分选,针对现有网格聚类需要输入网格划分、网格边界处理精度低等问题,提出一种新的基于网格聚类的雷达信号预分选算法。该算法根据网格数据压缩率自适应确定网格划分和密度阈值,并对网格边界进行优化处理。仿真实验表明,该算法能有效适用于雷达信号预分选,且有较强的抗噪声能力。

Radar si tering algorithm is appli gn ed al sorting is always a difficult problem of radar countermeasure. The grid clus- to signal pre-sorting. Aiming at the problems of needing input the parameters and low clustering precision of the current grid clustering algorithm, a new signal sorting method based on grid clustering is proposed. This algorithm partitions the grid and gets density threshold automatically by grid data compression ratio. Simulation shows that this method is effective and has better robustness to noise through the simulation.