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一种速度矢量和位置矢量分离估计的固定单站无源定位改进算法 被引量:2

An Improved Algorithm for Moving Emitter Passive Location and Tracking by Estimating Its Velocity Vector and Position Vector Separately Based on Single Non-moving Observer
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摘要 针对无源定位必须实现快速和稳定定位跟踪的要求,提出一种目标速度矢量和位置矢量分离估计的改进算法。该算法首先利用目标辐射源脉冲到达时间、到达方向、方位角变化率和仰角变化率建立了两组速度矢量作为变量的伪线性观测方程,并利用伪线性卡尔曼滤波算法估计目标速度,然后建立了将位置矢量作为变量的状态方程,而速度矢量作为确定性控制项加入状态方程,并利用修正增益扩展卡尔曼滤波算法对目标位置进行滤波。计算机仿真表明本文的算法具有定位精度高,收敛速度快的优点。 To satisfy the requirement of high location speed and stability,an improved algorithm for moving emitter passive location and tracking by estimating its velocity vector and position vector separately is proposed.Firstly two groups of pseudo-linear measurement equations which only include velocity vector of moving emitter as variable are established by using measurement of time of arrival,direction of arrival,azimuth,elevation and their changing rate,the velocity is estimated by the pseudo-linear kalman filt...
出处 《宇航学报》 EI CAS CSCD 北大核心 2007年第5期1342-1348,共7页 Journal of Astronautics
关键词 无源定位 速度矢量 角度变化率 伪线性卡尔曼滤波 修正增益卡尔曼滤波 Passive location Velocity vector Angle changing rate PLKF MGEKF
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参考文献2

  • 1[3]Song T L.Observability of target tracking with bearing-only measurement[J].IEEE Transaction on Aerospace and Electronic System,1996,33(4):1468-1472
  • 2[13]Tack L,Song,Jason L.A stochastic analysis of a modified gain extended kalman filter with applications to estimation with bearing only measurements[J].IEEE Transaction on Automatic Control,1985,30(10):940-949

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