基于相对系统误差估计的组网雷达点迹融合技术

雷达组网点迹融合系统中,雷达系统误差的存在导致雷达点迹的空间配准精度不能满足数据关联和点迹融合的需求。提出一种基于相对系统误差估计的组网雷达点迹融合技术,即将各雷达观测统一到本地雷达的系统误差基准上,以实现精确的点迹空间配准。这种融合技术能提高融合航迹的精度,改善多目标环境下数据关联的正确率,并且当本地雷达功能失效时,融合中心可以采用远方雷达点迹进行补盲,实现精确的航迹维持。仿真实验验证了以上结论。

Radar Net Contact Fusion Technique Based on Relative System Error Estimation

In the radar net contact fusion system, the spatial data registration among radars is not accurate enough to satisfy the requirements of data correlation and contact fusion because of the radar system errors. In this paper we propose a contact fusion technique based on relative system error estimation, with which we can realize spatial data registration more accurately among the radars by unifying all radar contacts on the baseline of the local radar system errors. This method can improve the accuracy of fusion track and the propability of correct association in multi-target environment by estimating and removing the relative system error. When the local radar is blind, fusion centre can make up target track by filtering contacts of the remote radars for a longer time. Monte-Carlo simulations also validate the upper conclusions.