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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。
Asynchronous passive sensor systems make it difficult to correlate the measurements and start of the track since the target position can not be determined by crossing the line of sight. To solve the problem of track initiation under the condition of clutter, missing detection and unknown target number, a track initiation algorithm for asynchronous passive sensor system is proposed. The algorithm first sets up the candidate target set, uses the maximum likelihood method to get the initial state estimation of each candidate target, fuzzy Hough transform and fuzzy clustering to achieve the track and target detection, and finally uses the maximum likelihood method to estimate each The initial status of a group of goals. The simulation results show that the proposed algorithm can effectively achieve the start of the track.