无线传感器网络中的信号处理与数据融合
Signal Processing and Data Fusion in Wireless Sensor Networks
吴苏丹1
作者信息
摘要
为了探讨无线传感器网络(WSN)中信号处理与数据融合的应用效果及其对网络性能的影响,采用理论分析与实验验证相结合的方法分析了信号处理技术在数据预处理、信号检测与估计、信号编码与压缩方等方面的应用及数据融合技术在环境监测、目标跟踪、健康监测等场景下的实际效用,构建模型并开展一系列实验.结果表明,有效的信号处理与数据融合技术能显著提高无线传感器网络的数据准确性和系统效率,信号处理与数据融合的集成应用进一步增强了网络处理能力及应用范围,此结果可为无线传感器网络的优化配置和应用提供理论依据和实践指导.
Abstract
In order to explore the application of wireless sensor network(WSN)signal processing and data fusion,and its influence on network performance,the study adopts the method of the combination of theoretical analysis and experimental verification,focuses on the signal processing technology in data preprocessing,signal detection and estimation,signal coding and compression,and the data fusion technology in environmental monitoring,target tracking,health monitoring scenarios under the actual utility.By constructing the model and carrying out a series of experiments,the results show that the effective signal processing and data fusion technology can significantly improve the data accuracy and system efficiency of the wireless sensor network.In addition,the integrated application of signal processing and data fusion further enhances the processing capability and application scope of the network.This study provides theoretical and practical guidance for the optimal configuration and application of wireless sensor networks.
关键词
无线传感器网络/信号处理/数据融合/环境监测/目标跟踪Key words
Wireless sensor network/Signal processing/Data fusion/Environment monitoring/Target tracking引用本文复制引用
出版年
2024
NETL
NSTL
万方数据