| 基于奇异值分解的改进机载单站无源定位算法 |
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| 引用本文： | 周峰,焦淑红,孔挺.基于奇异值分解的改进机载单站无源定位算法[J].探测与控制学报,2011,33(3). |
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| 作者姓名： | 周峰 焦淑红 孔挺 |
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| 作者单位： | 1. 哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨,150001
2. 海军飞行学院教研部,辽宁葫芦岛,125001 |
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| 基金项目： | 973国家安全重大基础研究基金项目资助(61393010101-1) |
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| 摘 要： | 针对机载单站无源定位系统中的滤波算法存在滤波稳定性差、收敛速度慢、定位精度差等问题,提出一种基于奇异值分解的平方根sigma点卡尔曼滤波算法(Square Root Sigma Point Kalman filter based on Sin-gular Value Decomposition,SVD-SRSPKF)。新算法利用奇异值分解代替Cholesky分解或更新,并使用误差协方差的平方根替代协方差进行滤波,保证滤波算法的数值稳定性。仿真结果表明:SVD-SRSPKF算法比其他同类算法具有更高的收敛速度、定位精度和数值稳定性。
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| 关 键 词： | 机载单站无源定位 奇异值分解 平方根滤波 数值稳定性 |
An Improved Algorithm of Single Airborne Observer Passive Location Based on SVD |
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| ZHOU Feng,JIAO Shuhong,KONG Ting.An Improved Algorithm of Single Airborne Observer Passive Location Based on SVD[J].Journal of Detection & Control,2011,33(3). |
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| Authors: | ZHOU Feng JIAO Shuhong KONG Ting |
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| Affiliation: | ZHOU Feng1,JIAO Shuhong1,KONG Ting2(1.College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China,2.Teaching and Research Department,Naval Flying College,Huludao 125001,China) |
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| Abstract: | In order to solve the problems of poor filtering stability,slow convergence speed and low locating accuracy of the filtering algorithm in the single airborne observer passive location,a square root sigma point Kalman filtering algorithm based on singular value decomposition(SVD-SRSPKF) was proposed in this paper.The Cholesky decomposition or update was replaced by singular value decomposition,and the square root of covariance was used to d the filter,which ensured filtering algorithms numerical stability in... |
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| Keywords: | single airborne observer passive location singular value decomposition square root filtering numerical stability |
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