CAJ | 학술논문

在雷达群组网目标跟踪中,目标量测在雷达各自的坐标系下,而目标跟踪却在公共坐标系下,针对这种混合坐标系下异地雷达目标跟踪问题,通常解决这类跟踪问题的滤波算法有CMKF法和EKF法.文中从测量误差模型出发,给出了适用于群组网目标跟踪算法的推导过程,并且通过仿真实验和分析,比较了几种算法的优缺点并给出了结论.
재뢰체군조망목표근종중,목표량측재뢰체각자적좌표계하,이목표근종각재공공좌표계하,침대저충혼합좌표계하이지뢰체목표근종문제,통상해결저류근종문제적려파산법유CMKF법화EKF법.문중종측량오차모형출발,급출료괄용우군조망목표근종산법적추도과정,병차통과방진실험화분석,비교료궤충산법적우결점병급출료결론.
Tracking target using multiple radars in neaed radars should handle the conflict that target position measurements are provided in radar own coordinate systems,but target motion is usually best modeled in common cartesian coordinates.To solve this problem,two methods are proposed.One is tracking with convening measurements based kalman filter(CMKF)and the other is tracking with extended Kalman filter(EKF)by linearizing measurement equations.Three filters applied to tracking targets in netted radars are developed and presented.Simulation results show the comparison of these filters.Some conclusions are drawn in the end.