异步被动传感器系统模糊Hough变换航迹起始算法

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。

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

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.