雷达虚警率降低方法的研究与仿真分析

Simulation Analysis of Radar Lower False Alarm Rate Method

雷达虚警主要由于系统噪声和杂波引起,两者特性不同,采用传统的算法降低雷达虚警方法都是设定固定参数表示两者特征,忽略了两者分布上的差异,导致无法适应多种外界因素及杂波带来的噪声干扰,虚警率较高。为此提出基于粒子群优化的雷达虚警率降低方法。上述方法先对雷达系统产生虚警的多种因素进行详细的分析,对两个主要产生虚警因素(雷达系统噪声和海杂波)建立虚警仿真模型,针对不同特性和虚警数的分布情况,设定雷达回波实际的门限判决系数,利用粒子算法对实际的门限判决系数实时寻优,计算雷达系统参考单元的均值,将结果作为幅度删除门限的范围,将没有超过范围的参考单元求取平均值得到幅度的判决门限,进而精确的降低了雷达虚警率。仿真结果证明,基于粒子群优化的雷达虚警率降低方法精确度高,抗噪性强,为雷达系统性能优化提供了科学依据。

A radar lower false alarm rate method is presented based on the particle swarm optimization. Various factors of false alarm of the radar system are first analyszed in detail, and a false-alarm simulation model for the two main factors （ radar system noise and sea clutter） to produce false alarm is set up. According to their different charac- teristics and the distribution of the number of false alarm, a threshold decision coefficient of actual radar echoes is set, the threshold decision coefficient of particle algorithm is real time optimized, the average radar system reference unit is calculated, the amplitude threshold range is obtained, and the decision threshold is calculated through the av- erage amplitude within the threshold range, thus the false alarm rate radar is accurately reduced. Simulation results show that the proposed method hasf high accuracy and strong noise resistance.