| 推广的多传感器数据融合算法 |
| |
| 引用本文： | 唐雪梅,刘波. 推广的多传感器数据融合算法[J]. 系统工程与电子技术, 1997, 0(10) |
| |
| 作者姓名： | 唐雪梅 刘波 |
| |
| 作者单位： | 北京特种机电技术研究所(唐雪梅)，华航无线电测量研究所(刘波) |
| |
| 摘 要： | 本文对工程实际中多传感器系统线性化后存在未知的系统误差，测量噪声具有指数衰减相关，且与状态噪声相关的问题，提出了推广的多传感器数据的分层融合算法和多传感器自适应数据融合算法，给出了计算流程图，可以对目标的状态进行实时估计，这两种算法对防空导弹体系制导雷达组网数据融合具有理论意义与实用价值。
|
| 关 键 词： | 多传感器，算法，目标跟踪，数据融合 |
Two Extended Algorithms of Multisensor Data Fusion |
| |
| Tang Xuemei Beijing Institute of Special Electromechanical Technology, Liu Bo Beijing Huahang Radio Measurement Institute. Two Extended Algorithms of Multisensor Data Fusion[J]. System Engineering and Electronics, 1997, 0(10) |
| |
| Authors: | Tang Xuemei Beijing Institute of Special Electromechanical Technology Liu Bo Beijing Huahang Radio Measurement Institute |
| |
| Affiliation: | Tang Xuemei Beijing Institute of Special Electromechanical Technology,100012 Liu Bo Beijing Huahang Radio Measurement Institute,100013 |
| |
| Abstract: | This paper discusses the practical problems of multisensor systems, in which the system errors are unknown and the exponentially attenuated measurement noises are self correlated and are cross correlated with state noises.The authors present two algorithms which are named extended algorithm of multisensor decentralized data fusion and adaptive algorithm of multisensor data fusion respectively.The real time estimations of the state can be obtained by using one of the algorithms. The two algorithms have theoretical significance and practical value for data fusion of guidance radar group in air defense systems. |
| |
| Keywords: | Multisensor data fusion Optimal estimation Algorithm. |
| 本文献已被 CNKI 等数据库收录！ |
