双采样点角估计筛选均值法对舰船的角估计

Angle Estimation for Ship Targets with Mean Algorithm of Selected Two Sample Points Angle Estimation

针对利用双采样点解决单脉冲体制下两个慢起伏舰船目标的角估计算法噪声适应能力差的缺点,提出一种双采样点角估计筛选均值法。首先介绍了双采样点角估计算法对舰船方位角进行估计的基本原理;然后在此基础上利用单个舰船回波信号脉冲串得到一组估计值,通过角度有界约束和孤立点剔除法对此组估计值进行筛选,对筛选后的估计值取均值得到单个脉冲串的方位角估计值,再对多个脉冲串的方位角估计值取均值作为两目标的方位角估计值。最后通过仿真结果表明改进算法性能稳定,估计精度优于简单的双采样点算法,具有较强的噪声适应能力。

A mean algorithm of selected two sample points angle estimation was proposed for the poor noise adaptability of the two sample points angle estimation algorithm with monopulse radar.First,the principle of the two sample points angle estimation to ship target was introduced,on that basis,single ship echo pulse trains was used to get a group of angle estimates,this group of angle estimates was selected by the angle bounded constraints and outliers culling method,and a angle estimate for single signal pulse train was gotten after the mean of the selection of angle estimates group.The angle estimates of the two targets were gotten by the mean of estimated angles of multiple signal pulse trains.At last,simulation results show that the proposed algorithm has stable performance,and has better estimation performance than the two sample points angle estimation algorithm and good noise adaptability.