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主被动雷达分层融合机动目标跟踪仿真研究
引用本文:蔡宗平,覃青相.主被动雷达分层融合机动目标跟踪仿真研究[J].科学技术与工程,2012,12(28):7198-7202.
作者姓名:蔡宗平  覃青相
作者单位:第二炮兵工程大学,第二炮兵工程大学
摘    要:以目标跟踪为主要目的,对主被动雷达基于改进算法的分布式分层融合进行了仿真研究。仿真研究验证了基于固定指数加权模糊自适应EKF滤波算法的主被动雷达分层融合系统,能够显著提高目标跟踪精度且稳定性好。同时验证了分布式分层融合跟踪性能,明显优越于分布式平均加权融合方法。

关 键 词:扩展卡尔曼滤波  固定指数加权  自适应模糊推理系统  加权平均融合  分层融合  机动目标跟踪
收稿时间:6/1/2012 10:31:52 AM
修稿时间:6/1/2012 10:31:52 AM

The simulation study for the dividing layer fusion Maneuvering target tracking of the active-passive radar
Cai Zong-ping and.The simulation study for the dividing layer fusion Maneuvering target tracking of the active-passive radar[J].Science Technology and Engineering,2012,12(28):7198-7202.
Authors:Cai Zong-ping and
Institution:(The Second Artillery Engineering University,Xi’an 710025,P.R.China)
Abstract:In order to the target tracking for main purpose, the distributed dividing layer fusion based on improved algorithm of the active-passive radar had been simulation researched . The emulational research had proved dividing layer fusion system of the active-passive radar which is based on the fixed index weighted fuzzy adaptive EKF algorithm is able to improve the accuracy of the target tracking observably,and the stability is very well. It is identified that the tracking performance of dividing layer fusion approach with active/passive radar which are based on the modified EKF is better than that of weighted average fusion approach observably.
Keywords:Extended kalman filtering    fixed index weighted    ANFIS    weighted average fusion  dividing layer fusion    maneuvering target tracking
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