| 基于子波变换的多传感器最优信息融合估计 |
| |
| 引用本文： | 柳毅,赵振宇,丁全心,姜兴彤,李建勋. 基于子波变换的多传感器最优信息融合估计[J]. 系统仿真学报, 2012, 24(6): 1265-1269 |
| |
| 作者姓名： | 柳毅 赵振宇 丁全心 姜兴彤 李建勋 |
| |
| 作者单位： | 1. 中航工业洛阳电光设备研究所,洛阳471009／光电控制技术重点实验室,洛阳471009
2. 上海交通大学,上海,200240 |
| |
| 基金项目： | 总装预研基金项目(9140C4602041001);国家自然科学基金(60304007);航空科学基金(20075157007) |
| |
| 摘 要： | 在线性最小方差最优信息融合准则下,提出了一种新的修正加权融合准则。在此基础上,结合子波域多尺度分解理论,构建了子波域多尺度多传感器按修正加权最优信息融合方法。该方法由于采用了修正的加权融合准则和子波域多尺度分解,提高了融合精度,减少了计算负担,便于实际应用。两个典型运动的仿真例子说明了其有效性。
|
| 关 键 词： | 修正加权融合 子波域 多尺度 多传感器融合 |
WAVELET-BASED Multi-sensor Optimal Information Fusion Estimate |
| |
| LIU Yi,ZHAO Zhen-yu,DING Quan-xin,JIANG Xing-tong,LI Jian-xun. WAVELET-BASED Multi-sensor Optimal Information Fusion Estimate[J]. Journal of System Simulation, 2012, 24(6): 1265-1269 |
| |
| Authors: | LIU Yi ZHAO Zhen-yu DING Quan-xin JIANG Xing-tong LI Jian-xun |
| |
| Affiliation: | 1.Luoyang Institute of Electro-optical Equipment,AVIC,Luoyang 471009,China; 2.Science and Technology on Electron-optic Control Laboratory,Luoyang 471009,China; 3.Shanghai Jiaotong University,Shanghai 200240,China) |
| |
| Abstract: | Based on the optimal information fusion rule in the mean of linear minimum variance,a new kind of improved weighted fusion rule was proposed.In addition,combining multiscale analysis in wavelet domain,a kind of multi-sensor optimal information fusion in wavelet domain was built.It is the introduction of improved weighted fusion rule and multiscale decomposition,and the fusion performance,including precision and complexity,has been improved than matrix-weighted in time domain.An example of radar tracking illuminates its usefulness. |
| |
| Keywords: | improved weighted fusion wavelet domain multiscale analysis multi-sensor fusion |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
