针对杂波背景下的多雷达航迹融合时局部估计误差互协方差矩阵未知的问题，提出基于目标存在概率（PTE）的航迹融合算法，提升了正确航迹率和跟踪精度。首先，通过综合概率数据关联得到单接收站的目标航迹估计集合和对应的目标存在概率。然后，在局部估计误差互协方差矩阵未知的条件下，基于PTE信息提出不带记忆的综合广义凸组合航迹融合算法。进而将前一帧的融合状态进行反馈，提出带记忆的综合广义凸组合航迹融合算法。仿真验证了所提算法的有效性。
When multi-radar track-to-track fusion is in clutter, the cross-covariance of errors of local estimates is unavailable. A target existence probability based track-to-track fusion method is proposed to improve the tracking accuracy. First, based on the integrated probability data association, we can estimate the set of target track estimation and the corresponding probability of the target existence of a single receiver. Then, when the cross-covariance of errors of local estimates is unavailable, based on the PTE information, we propose a generalized convex combination track-to-track fusion algorithm that is without memory. Furthermore, we give feedback to the fusion state of the previous frame, proposing an integrated generalized convex combination track-to-track fusion algorithm with memory. Simulation results demonstrated the effectiveness of the proposed method.
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