基于目标识别的机载预警雷达虚警抑制研究  

Research on Airborne Early Warning Radar False-alarm Suppression Based on Target Recognition

作　　者：李慧[1,2] 李涛[3] 

机构地区：[1]金陵科技学院信息技术学院,江苏南京210001 [2]江苏省信息分析工程实验室,江苏南京210001 [3]中国电子科技集团第十四研究所,江苏南京210013

出　　处：《计算机仿真》2011年第12期17-19,203,共4页Computer Simulation

摘　　要：由于复杂背景下,存在某些杂波与目标具有相似的频谱特征,造成无法正确识别目标,从而导致虚警抑制问题成为机载预警雷达的一个难点。大量的虚假点迹不仅污染了雷达显示画面,而且给航迹的定位带来严重影响。为解决上述问题,提出对雷达实测数据进行统计,将点迹的发现驻留数和解模糊误差作为区分目标和虚警的两个重要特征。在进行数据处理阶段,利用支持向量机技术识别目标、抑制虚警的算法。仿真结果表明,改进算法能够获得很高的目标识别率,有效抑制了虚警。Due to the likeness of spectrum between clutter and target in complex environment,target cannot be indicated correctly.As a result,it is a difficulty for airborne early warning radar to suppress false-alarm.Plenty of false plots make the radar display dirty and course serious problems in track location.To resolve the problem,by the method of statistic and analysis of real radar data,detected-dwell-count and ambiguity-resolution-errors were used as important features to distinguish false-alarm and target.A target recognition and false alarm suppressing algorithm was put forward,which used Support Vector Machine during data process phase.The simulation result shows that the algorithm is of high target recognition ratio and can suppress false-alarm effectively.

关 键 词：支持向量机 虚警抑制 发现驻留数 解模糊误差 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]