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摘要:Extended target probability hypothesis density(ET-PHD) filter is a random finite set-based multi-target tracking(MTT) method.It implements the multi-target Bayesian filter approximately by propagating the first-order moment of target posterior,and achieves good real-time performance,attracting wide interest in the field of radar applications.This paper is devoted to proposing a time-matching recursive filtering method to improve the MTT ability of ET-PHD filter in high-resolution phased array radar(PAR) scenarios.Based on a pre-partitioning strategy and time matching framework,the proposed method calculates PHD for each sector independently,which can meet the requirements of PAR for flexibility.Furthermore,it also uses the recursive filtering method of multi-sensor MTT to update single-sector PHD by sequentially applying multi-scan measurements of the sector,and improves the accuracy of target state estimation.The simulation is implemented by using Gamma Gaussian inverse Wishart model,and validates the effectiveness of the proposed method.
会议名称:

第33届中国控制与决策会议

会议时间:

2021-05-22

会议地点:

中国云南昆明

  • 专辑:

    信息科技

  • 专题:

    无线电电子学; 电信技术

  • DOI:

    10.26914/c.cnkihy.2021.023249

  • 分类号:

    TN958.92;TN713

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