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基于到达角度和时间差测量的无源跟踪算法研究
引用本文:乔梁.基于到达角度和时间差测量的无源跟踪算法研究[J].三峡大学学报(自然科学版),2011,33(1):81-84.
作者姓名:乔梁
作者单位:广东金融学院,计算机系,广州,5105207
基金项目:总装备部基金资助项目(5140104C703CB0102)
摘    要:分析了修正增益扩展卡尔曼滤波(MGEKF)原理及其在非线性方程中的应用,提出了一种测量目标辐射源脉冲到达时间差和到达方向实现固定单站对运动辐射源进行无源定位的算法.通过计算机仿真,验证了该方法的正确性与有效性.

关 键 词:无源定位  修正增益扩展卡尔曼滤波  方位角  到达时间

Research on Passive Tracking Algorithm Based on Angle and Time Differences Measurement
Qiao Liang.Research on Passive Tracking Algorithm Based on Angle and Time Differences Measurement[J].Journal of China Three Gorges University(Natural Sciences),2011,33(1):81-84.
Authors:Qiao Liang
Institution:Qiao Liang(Department of Computer,Guangdong Univ.of Finance,Guangzhou 5105207,China)
Abstract:This paper analyses the basic principle of modified gain extend Kalman filter(MGEKF) and its application to nonlinear formulas.Furthermore,an algorithm for the moving emitter passive location and tracking based on TDOA and DOA measurements by a single fixed station,is given.With the help of computer simulation,the method is verified to be correct and effective.
Keywords:passive location  modified gain extend Kalman filter  azimuth angle  time of arrival  
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