异步被动传感器系统模糊Hough变换航迹起始算法  

Fuzzy Hough transform track initiation algorithm for an asynchronous passive sensor system

作　　者：刘宗香[1] 谢维信[2] 杨烜[2] 

机构地区：[1]西安电子科技大学电子工程学院,陕西西安710071 [2]深圳大学信息工程学院,广东深圳518060

出　　处：《系统工程与电子技术》2004年第11期1545-1548,1591,共5页Systems Engineering and Electronics

基　　金：深圳市科技局项目基金资助课题(200335)

摘　　要：异步被动传感器系统由于不能通过视线交叉确定目标位置,因此使测量关联和航迹起始变得困难。为解决杂波、漏检和目标数未知情况下航迹起始问题,提出了一种用于异步被动传感器系统的航迹起始算法。该算法首先建立候选目标集,用极大似然法求出每一候选目标的初始状态估计、模糊Hough变换和模糊聚类实现航迹和目标的检测,最后用极大似然法估计出每一批目标的初始状态。仿真实验结果表明,提出的算法能有效实现航迹起始。It is impossible for an asynchronous passive sensor system to localize a target by the intersection of any two lines of sight, which makes it difficult to associate measurements and initiate tracks. To solve the problem of the track initiation typically encountered in the presence of clutters, missed detections and an unknown number of targets, a track initiation algorithm for an asynchronous passive sensor system is presented, which first builds the set of candidate targets using the measurements, determines the initial track state estimation of every candidate target with the maximum likelibood method, then detects tracks and targets using fuzzy Hough transform and fuzzy clustering, and finally estimates the initial target state using the maximum likelihood method. Simulation results show the algorithm presented can initiate tracks effectively.

关 键 词：数据融合 航迹起始 HOUGH变换 被动传感器 

分 类 号：TN953[电子电信—信号与信息处理]