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基于测向交叉和卡尔曼滤波的多舰无源被动定位算法
引用本文:徐敬,孙永侃,王秀坤,胡家升.基于测向交叉和卡尔曼滤波的多舰无源被动定位算法[J].现代雷达,2001,23(6):35-38.
作者姓名:徐敬  孙永侃  王秀坤  胡家升
作者单位:1. 大连理工大学,
2. 海军大连舰艇学院,
摘    要:在分布式多舰无源被动定位算法中,用修正增益推广卡尔曼滤波器对海上运动舰艇辐射源进行纯方位跟踪时,会出现滤波发散的情况.本文讨论了进行多舰纯方位定位跟踪融合的方法,提出一种通过测向交叉定位的结果来改进修正增益推广卡尔曼滤波器的方法,提高其稳定性,减少其滤波发散的可能,提高定位精度,计算机模拟证明了该方法的有效性.

关 键 词:测向交叉定位  修正增益推广卡尔曼滤波  多舰无源被动定位算法
修稿时间:2001年3月14日

Multiple-Warship Passive Locating Algorithm Based on Direction Finding Triangulation and Kalman Filter
XU Jing,SUN Yong kan WANG Xiu kun HU Jia sheng.Multiple-Warship Passive Locating Algorithm Based on Direction Finding Triangulation and Kalman Filter[J].Modern Radar,2001,23(6):35-38.
Authors:XU Jing  SUN Yong kan WANG Xiu kun HU Jia sheng
Abstract:In the distributed multiple warship passive location algorithm, when Modified Gain Extended Kalman Filter(MGEKF) is used for bearing only tracking of maritine moving warship emitters, a divergence problem may occur. a method of multiple warship bearing only locating and tracking fusion is discussed and further a method to improve MGEKF using the results of direction finding triangulation locating is presented. Thus the stability of MGEKF is improved, the possibility of divergence is decreased, and the precision of location is also improved. The computer simulation results proved the effectivity of this method.
Keywords:direction finding triangulation location  MGEKF  multiple warship passive location algorithm  
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