一种针对非合作目标的双站固定两坐标雷达系统误差修正方法  

A system error correction method of dual-station fixed 2D radars for non-cooperative targets

作　　者：尚娟[1] 姚远[1] SHANG Juan;YAO Yuan(No.724 Research Institute of CSIC,Nanjing 211153)

机构地区：[1]中国船舶重工集团公司第七二四研究所,南京211153

出　　处：《雷达与对抗》2019年第1期4-9,共6页Radar & ECM

摘　　要：针对双站固定雷达探测区域内的非合作目标,采用精确极大似然空间配准算法(EML)实现对两坐标雷达的距离维和方位维的系统误差修正。基于非合作目标,提出了共视目标的匹配方法,并完成共视目标航迹数据的时间配准,给出了EML算法在工程应用中输入数据的编排方法。考虑到EML算法在目标位置真值和雷达系统误差迭代求解中容易陷入局部最小值的缺陷,采用基于最小二乘理论的数据检查方法,进一步提高了估计结果的准确性。经过EML算法的空间配准处理,可以有效提高融合航迹的位置精度。在所述的两部同型雷达以相同的扫描策略对共视区内目标进行探测的条件下,通过试验数据的分析,双站雷达的点迹融合航迹的位置精度不低于单部雷达航迹的位置精度。For non-cooperative targets in the dual-station fixed radar detection area, the system error correction of the range and azimuth dimension for the 2D radars is implemented by using the exact maximum likelihood spatial registration algorithm (EML). Based on the non-cooperative targets, the matching method of common view targets is proposed, and time registration of the track data of com- mon view targets is completed. The method of programming the input data of the EML algorithm in the enginnering application is given. Considerting the defect that the EML algorithm is easy to fall in- to the local minimum value in the true value of the target position and the iterative solution of the ra- dar system error, the data checking method based on the least squares theory is used to further im- prove the accuracy of the estimation results. The positon accuracy of the fused track can be efffecti- vley improved through the spatial registration processing of the EML algorithm. Under the condition that the two identical radars use the same scanning strategy to detect targets in the common view area, the position accuracy of the plot fusion track of the dual-station radars is not lower than that of a single one through the analysis of the test data.

关 键 词：雷达 系统误差 非合作目标 空间配准 EML 

分 类 号：TN953[电子电信—信号与信息处理]