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基于阈值判决的无线传感器网络混沌信号重构 被引量：6

Reconstruction of Chaotic Signals in Wireless Sensor Networks Based on Threshold-Decision
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摘要 考虑在传感器网络中重构混沌信号的问题.各传感器同时观测一个混沌信号.由于带宽受限,各传感器量化观测信号并将量化后的数据发送到融合中心,该中心使用无先导卡尔曼滤波算法重构观测的混沌信号.为了节省能量,只有观测信号信噪比高于某个阈值的传感器被选中并发送数据.定义代价函数关联重构性能和能量消耗,分析并仿真了代价函数和阈值之间的关系.结果表明在某些情况下部分传感器发送数据更合理. The problem of reconstructing chaotic signals in wireless sensor networks is considered.All sensors observe a common chaotic signal.Because of the limited bandwidth,the observations are quantized and the quantized data are sent to a fusion center.The fusion center reconstructs the chaotic signals by using the unscented Kalman filtering（UKF） algorithm.To save energy,only the sensors for which the SNR of the observation is higher than a threshold are chosen for transmission.A cost function is defined to relate the reconstruction performance and the energy consumption.The relationship between the cost function and the threshold is analyzed and simulated.The results show that under certain conditions,it is more reasonable that only a portion of the sensors transmit data.
作者 陈宏滨 冯久超
机构地区 华南理工大学电子与信息学院 桂林电子科技大学信息与通信学院
出处 《西南大学学报（自然科学版）》 CAS CSCD 北大核心 2010年第1期124-128,共5页 Journal of Southwest University(Natural Science Edition)
基金 国家自然科学基金资助项目(60872123) 国家自然科学基金-广东省自然科学基金联合基金资助项目(U0835001) 桂林电子科技大学科学研究基金资助项目(UF09017Y)
关键词 混沌信号 无线传感器网络 分布式估计 能效 chaotic signal wireless sensor network distributed estimation energy efficiency
分类号 TN914.41 [电子电信—通信与信息系统]
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参考文献20

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二级参考文献9

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共引文献8

同被引文献43

引证文献6

二级引证文献13

西南大学学报（自然科学版）
2010年 第1期

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