| 基于融合反馈的多传感器空间偏差配准方法 |
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| 引用本文： | 郭徽东,章新华,许林周,宋元.基于融合反馈的多传感器空间偏差配准方法[J].控制与决策,2007,22(5):577-580. |
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| 作者姓名： | 郭徽东 章新华 许林周 宋元 |
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| 作者单位： | 海军大连舰艇学院信号与信息技术研究中心,辽宁,大连,116018 |
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| 基金项目： | “十五”国防预研项目（40105010101）. |
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| 摘 要： | 利用多传感器的目标状态融合估计和融合估计误差协方差作为反馈信息,提出了带反馈机制的多传感器空间偏差配准方法.对二阶段Kalman滤波偏差配准方法进行扩展和改进,在不同噪声条件下对目标状态融合和偏差进行估计.仿真结果表明,带反馈信息的偏差配准方法可有效改善目标的状态估计和传感器的偏差配准,Crmaer-Rao下界分析说明了该算法的有效性.
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| 关 键 词： | 空间偏差 配准 二阶段Kalman滤波 反馈 |
| 文章编号： | 1001-0920（2007）05-0577-04 |
| 收稿时间： | 2006/1/17 0:00:00 |
| 修稿时间： | 2006-01-172006-04-05 |
Multisensor spatial registration algorithm based on feedback |
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| GUO Hui-dong,ZHANG Xin-hua,XU Lin-zhou,SONG Yuan.Multisensor spatial registration algorithm based on feedback[J].Control and Decision,2007,22(5):577-580. |
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| Authors: | GUO Hui-dong ZHANG Xin-hua XU Lin-zhou SONG Yuan |
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| Affiliation: | Research Center of Signal and Information Technology, Dalian Navy Academy, Dalian 116018, China. |
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| Abstract: | By using the fusion statement and error covariance of target in multisensor data fusion system, multisensor spatial registration algorithm based on feedback is proposed. The global estimation accuracy of target is increased and the tracking performance of local sensor is improved by feedback information. Extension and improvement are adopted in the bias estimation stage of two-stage Kalman filtering for bias registration. Simulation results show that the target position and the bias are estimated in different error conditions. The results of the Cramer-Rao round show the effectiveness of the algorithm. |
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| Keywords: | Spatial bias Registration Two-stage Kalman filtering Feedback |
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