现代雷达2025，Vol.47Issue(2)：52-57,6.DOI:10.16592/j.cnki.1004-7859.20230610002
基于转换量测重构的组网雷达融合方法
Netted Radar Fusion Algorithm Based on Converted Measurement Reconstruction
摘要
Abstract
Multi-radar network detection is an effective approach to deal with stealth and low altitude penetration.Converted meas-urement Kalman filter(CMKF)is widely used in netted radar fusion tracking due to its simple implementation and low computa-tional complexity.The conversion measurement of CMKF is a pseudo linear expression of the target state containing strong nonlin-ear components,which can cause a decrease in fusion accuracy especially in the case of large azimuth measurement errors.In or-der to suppress the influence of nonlinear errors,theoretical analysis is conducted on the error influence of classical converted measurement models,and it is concluded that the cosine of azimuth error is the main factor causing nonlinear errors.Based on this argument,a more precise converted measurement model is reconstructed with the predicted azimuth.By adaptively correcting the azimuth measurement during the filtering process,the nonlinear influence of the cosine of the orientation error is effectively sup-pressed.Theoretical analysis and simulation results show that the improved CMKF applied to the netted radar system significantly reduces nonlinear errors and improves fusion accuracy.关键词
雷达组网/目标跟踪/非线性滤波/转换量测卡尔曼滤波/方位观测重构Key words
netted radar/target tracking/nonlinear filtering/converted measurement Kalman filter(CMKF)/azimuth observation reconstruction分类
电子信息工程引用本文复制引用
盛琥,汪海兵,王杰..基于转换量测重构的组网雷达融合方法[J].现代雷达,2025,47(2):52-57,6.基金项目
江淮前沿技术协同创新中心追梦基金资助项目(2023-ZM01K010) （2023-ZM01K010）
