西南交通大学学报2011，Vol.46Issue(2)：277-281,5.DOI:10.3969/j.issn.0258-2724.2011.02.017
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
摘要
Abstract
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Key words
bearing combination/ radar/ bearing-only sensor/ data fusion分类
信息技术与安全科学引用本文复制引用
黄友澎,吴汉宝,张志云..基于方位合成的异类传感器航迹数据融合算法[J].西南交通大学学报,2011,46(2):277-281,5.基金项目
国防"十一五"预研项目(401060102,102070301) （401060102,102070301）
