| 光电跟踪系统非线性新息自适应卡尔曼滤波算法 |
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| 引用本文： | 王秋平,左玲,康顺.光电跟踪系统非线性新息自适应卡尔曼滤波算法[J].光电工程,2011,38(2):9-13. |
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| 作者姓名： | 王秋平 左玲 康顺 |
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| 作者单位： | 东北电力大学自动化工程学院; |
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| 基金项目： | 吉林省教育厅项目(2009100); 吉林市科技发展计划资助项目(20090601); 东北电力大学博士基金项目(BSJXM-200802) |
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| 摘 要： | 为解决非线性部分状态卡尔曼滤波算法中由于线性化误差所导致的滤波精度下降问题,提出采用UT变换方法计算系统状态误差方差,及基于新息自适应调整系统噪声方差,进而构成一种新的非线性自适应部分状态卡尔曼滤波算法,并总结出详细算法结构.同时,将此方法应用到非线性测量光电跟踪系统中,并与U卡尔曼滤波和非线性部分状态卡尔曼滤波进行性...
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| 关 键 词： | 卡尔曼滤波 光电跟踪 非线性 |
Nonlinear Innovation Adaptive Kalman Filter Algorithm for Electro-optical Tracking |
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| WANG Qiu-ping,ZUO Ling,KANG Shun.Nonlinear Innovation Adaptive Kalman Filter Algorithm for Electro-optical Tracking[J].Opto-Electronic Engineering,2011,38(2):9-13. |
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| Authors: | WANG Qiu-ping ZUO Ling KANG Shun |
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| Affiliation: | WANG Qiu-ping,ZUO Ling,KANG Shun(School of Automation Engineering,Northeast Dianli University,Jilin 132012,Jilin Province,China) |
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| Abstract: | In order to solve the problem of accuracy decline caused by the linearization error in nonlinear reduced state Kalman filter,a new nonlinear adaptive reduced state Kalman filter algorithm is provided by using UT transformation to calculate the covariance of the system state error and modify adaptively the system noise covariance based on innovation,and the algorithm structure is summarized in detail.Then,the algorithm is applied in nonlinear measurement electro-optical tracking system and the performances o... |
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| Keywords: | Kalman filter electro-optical tracking nolinear |
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