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目前广泛应用的点迹提取算法都不能很好地解决由于脉冲压缩所引起的距离展宽问题。为此作者在一维质量中心法的基础上提出了二维质量中心法 ,并结合远程警戒雷达的特点 ,设计了简化的峰值搜索算法。分析和仿真结果表明 :该文提出的算法比传统的面积中心法具有更高的估计精度。此外 ,该算法可以实现递推运算 ,占用存储空间少 ,易于工程实现。目前它已应用于某型远程警戒雷达的点迹提取系统中 ,并获得了令人满意的效果
At present, the widely used point extraction algorithm can not solve the problem of broadening the distance caused by pulse compression. To this end, the author proposed a two-dimensional center of mass method based on the one-dimensional mass center method, and combined with the characteristics of remote detection radar, designed a simplified peak search algorithm. The analysis and simulation results show that the proposed algorithm has higher estimation accuracy than the traditional area center method. In addition, the algorithm can achieve recursive computing, less storage space, easy to implement. At present, it has been applied to the spot detection system of some type of long-range warning radar and has achieved satisfactory results