基于方位合成的异类传感器航迹数据融合算法  

Bearing Combination-Based Fusion Algorithm for Heterogeneous Sensors Track Data

作　　者：黄友澎[1] 吴汉宝[1] 张志云[1] 

机构地区：[1]武汉数字工程研究所数据融合中心,湖北武汉430074

出　　处：《西南交通大学学报》2011年第2期277-281,共5页Journal of Southwest Jiaotong University

基　　金：国防"十一五"预研项目(401060102;102070301)

摘　　要：针对纯方位传感器与二维雷达量测空间不一致的航迹数据融合问题,提出了一种基于方位合成的异类传感器航迹数据融合算法.该算法以纯方位传感器承载平台为融合中心,计算雷达和纯方位传感器探测的目标航迹相对于同一坐标系的方位量测,并用一种近似方法计算方位精度;采用基于最优权值分配原则的加权平均法对方位进行合成,用合成的方位对雷达探测的目标航迹进行修正,并将修正后的航迹作为融合航迹.该算法在获得融合航迹的同时,给出了融合航迹的精度.仿真结果表明,与雷达航迹精度相比,融合航迹的精度平均提高25.23%.To the track data fusion caused by the difference between the measurement spaces of a 2D radar and a bearing-only sensor,a fusion algorithm for heterogeneous sensors track data was proposed based on bearing combination.With this algorithm,bearing measure of the target track detected by the radar and the bearing-only sensor relative to the same coordinate system is calculated by taking the platform of the bearing-only sensor as a data fusion center,and the bearing precision is mounted with an approximation method.Then,the bearings are combined with the weighted average method based on the optimal weight allocation.Finally,the target track detected by the radar is corrected using the combined bearing,and the corrected target track is taken as the fusion track.This algorithm gives the precision of the fusion track while it gets the fusion track.The simulation results show that compared with the precision of a radar track,the precision of the fusion track is improved by 25.23% in average.

关 键 词：方位合成 雷达 纯方位传感器 数据融合 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]