| 一种新的异类多传感器系统误差融合估计算法 |
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| 引用本文： | 宋强,何友,熊伟.一种新的异类多传感器系统误差融合估计算法[J].西南交通大学学报,2011,46(4):681-687. |
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| 作者姓名： | 宋强 何友 熊伟 |
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| 作者单位： | 1. 海军航空工程学院信息融合技术研究所,山东烟台264001;中国人民解放军91655部队,北京100036
2. 海军航空工程学院信息融合技术研究所,山东烟台,264001 |
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| 基金项目： | 国家自然科学基金青年基金资助项目(60801049);国家自然科学基金重点基金资助项目(61032001) |
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| 摘 要： | 为解决由测向测时差无源被动传感器与主动传感器组网探测时异类多传感器系统误差估计问题,提出了一种新的异类多传感器系统误差融合估计算法.首先,通过对主被动传感器进行组合并构建异类传感器系统误差量测模型,实现了各组合传感器系统误差的实时估计;其次,通过建立多传感器融合估计结构,对多传感器系统误差的组合估计信息进行融合并反馈,获得了各传感器系统误差的全局融合估计.蒙特卡罗仿真结果表明:该算法能够对组网探测系统中各主、被动传感器的测向测时差及测距系统误差进行有效的融合估计,具有较高的工程应用价值.
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| 关 键 词： | 到达方位角 时差 系统误差 无源定位 误差配准 信息融合 |
New Fusion Estimation Algorithm for Systematic Errors of Multiple Dissimilar Sensors |
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| SONG Qiang,HE You,XIONG Wei.New Fusion Estimation Algorithm for Systematic Errors of Multiple Dissimilar Sensors[J].Journal of Southwest Jiaotong University,2011,46(4):681-687. |
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| Authors: | SONG Qiang HE You XIONG Wei |
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| Institution: | SONG Qiang1,2,HE You1,XIONG Wei1(1.Research Institute of Information Fusion,Naval Aeronautical and Astronautical University,Yantai 264001,China,2.No.91655 Unit of PLA,Beijing 100036,China) |
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| Abstract: | In order to solve the problem of systematic error estimation in a multiple dissimilar sensor network composed of passive sensors with DOA(direction of arrival) and TOA(time of arrival) measurements and active sensors,a new fusion estimation algorithm for systematic errors was proposed.With this algorithm,real-time estimation of the systematic errors of each sensor combination can be achieved through combining the active and passive sensors in pairs and establishing the systematic error model of dissimilar s... |
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| Keywords: | DOA(direction of arrival) TOA(time of arrival) systematic error passive location sensor registration information fusion |
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