一种雷达组网系统误差CRLB估计方法

A CRLB method for system error registration of radar networking

为研究雷达组网系统的融合处理同时包含位置和时间四维系统误差问题,根据实际雷达量测存在系统误差的特点,提出了一种系统误差估计精度克拉美罗下界(CRLB),并组合利用顺/逆时针和向/背站飞行航迹计算了不同场景下的系统误差估计精度CRLB.计算结果表明,对于气动目标,由于目标运动模型存在误差,同时雷达测距和测角误差存在差异,不同场景的系统误差估计精度和收敛速度不同.这为实际作战场景下的系统误差估计数据选择及算法的优选提供比较基准.

The fusion processing of radar networking system includes both position and time four-dimensional system errors. In order to study the above problem, this paper accords to the characteristics of system error in actual radar measurement to propose a Cramer-Rao lower bound(CRLB) of error registration accuracy, and also synthetically utilizes the clockwise/counterclockwise and towards-station/away-from-station flight tracks to calculate the CRLB of system error registration accuracy in different scenarios. The calculation results show that for aerodynamic targets, due to the error of target motion model, there exist differences between radar distance measurement and angle measurement errors, and that the system error registration accuracy and convergence rate are different in different scenarios, thus providing a comparison benchmark for the selection of error registration data and the optimization of algorithms in actual combat scenarios.