非线性最小二乘有源假目标识别方法研究  

Research on Nonlinear Least Square Active False Target Recognition Method

作　　者：蒋婷婷[1] 周洁静 钱锦 Jiang Ting-ting;Zhou Jie-jing;Qian Jin(The 28th Research Institute of China Electronics Technology Group Corporation,Jiangsu Nanjing 210007)

机构地区：[1]中国电子科技集团公司第二十八研究所,江苏南京210007

出　　处：《电子质量》2020年第12期131-135,共5页Electronics Quality

摘　　要：针对雷达对地面机动目标的监控区域存在的有源假目标,分析并研究了该类目标的特点和与真实机动目标的不同,采用非线性最小二乘有源假目标识别方法对假目标进行滤除。通过仿真实验证明,该方法能够有效滤除有源假目标,使跟踪系统对真实目标继续有效地跟踪。Aiming at the active false targets existing in the radar monitoring area of ground maneuvering targets,the characteristics of these targets and their differences from real maneuvering targets are analyzed and studied.The nonlinear least square active false target identification method is used to filter out the false targets.The simulation results show that the method can effectively filter out the active false target and make the tracking system track the real target effectively.

关 键 词：非线性最小二乘法 有源假目标 目标识别 

分 类 号：TN95[电子电信—信号与信息处理]