| 基于小波去噪和数据融合的多传感器数据重建算法 |
| |
| 引用本文： | 杨惠娟,张建秋.基于小波去噪和数据融合的多传感器数据重建算法[J].复旦学报(自然科学版),2005,44(1):161-165. |
| |
| 作者姓名： | 杨惠娟 张建秋 |
| |
| 作者单位： | 复旦大学,电子工程系,电子测量技术与仪器实验室,上海,200433;复旦大学,电子工程系,电子测量技术与仪器实验室,上海,200433 |
| |
| 摘 要： | 为了从被噪声干扰的各个传感器测量值中获得更准确的测量结果，提出了一种基于小波去噪和多传感器数据融合的传感器数据重建算法，仿真和实验的结果都表明：由该算法重建得到的各个传感器的重建数据的方差低于传感器测量值的方差，可以认为多传感器数据重建算法给出了对每一个传感器的更为准确的测量结果。
|
| 关 键 词： | 信号处理 小波去噪 数据融合 多传感器系统 数据重建 |
| 文章编号： | 0427-7104(2005)01-0161-05 |
A Multi-Sensor Data Reconstruction Algorithm Based on Wavelet Denoising and Data Fusion |
| |
| YANG Hui-juan,ZHANG Jian-qiu.A Multi-Sensor Data Reconstruction Algorithm Based on Wavelet Denoising and Data Fusion[J].Journal of Fudan University(Natural Science),2005,44(1):161-165. |
| |
| Authors: | YANG Hui-juan ZHANG Jian-qiu |
| |
| Abstract: | In order to let each sensor of the multi-sensor system obtain more accurate measurement results, the wavelet-based denoising and the multi-sensor data fusion algorithms are employed to reconstruct outputs of each senor. Simulation and experiment results show that the variances of the reconstructing outputs of each sensor by the proposed algorithm are much smaller than those of the raw outputs of the each sensor. As a result, it can be concluded that the proposed multi-sensor reconstruction algorithm may give more accurate measurement results for the each sensor in the multi-sensor system. |
| |
| Keywords: | signal procession wavelet denoising data fusion multi-sensor system data reconstruction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
