基于遗传算法的多传感器误差配准研究  

Multi-sensor error registration based on genetic algorithm

作　　者：唐思圆 凌翔[1] Tang Siyuan;Ling Xiang(China Electronics Technology Group Corporation 38th Institute,Hefei 230088,China)

机构地区：[1]中国电子科技集团公司第三十八研究所,合肥230088

出　　处：《电子测量技术》2021年第4期57-61,共5页Electronic Measurement Technology

基　　金：安徽省重点研究与开发计划项目(S201804b06020052)资助。

摘　　要：多传感器信息融合技术可以有效提高雷达对目标的发现和探测能力,而多传感器信息融合成功的先决条件在于系统误差配准。过大的雷达系统误差会给航迹相关和融合带来模糊和困难,使得融合系统监视性能严重下降。针对多传感器误差配准问题,给出了时间误差配准和空间误差配准的解决方法,并通过将空间误差配准问题转换为非线性优化问题,利用遗传算法搜索获得问题的近似最优解。通过真实采集的雷达观测数据和MATLAB仿真实验,验证了遗传算法在解决多传感器误差配准问题中的有效性。Multi-sensor information fusion technology can effectively improve the ability of radar to find and detect targets, and the prerequisite of successful multi-sensor information fusion is system error registration. Too large system error of radar will bring fuzziness and difficulty to track correlation and fusion, which makes the performance of fusion system degrade seriously. Aiming at the problem of multi-sensor error registration, this paper presents the solutions of time error registration and spatial error registration. By transforming the spatial error registration problem into a nonlinear optimization problem, the genetic algorithm is used to search for the approximate optimal solution of the problem. Through the real radar observation data and MATLAB simulation experiments, the effectiveness of genetic algorithm in solving the problem of multi-sensor error registration is verified.

关 键 词：多传感器信息融合 误差配准 遗传算法 

分 类 号：TN953[电子电信—信号与信息处理]