Reconstruction of Chaotic Signals in Wireless Sensor Networks
The problem of chaotic signal reconstruction in wireless sensor networks is studied. The sensors observe a common chaotic signal in a sensing field. The observations are gathered in a fusion center which is responsible for reconstructing the chaotic signal. Due to the bandwidth constraint of sensors, the observations are quantized and the quantized data are sent to the fusion center. The fusion center combines the received data and employs an unscented Kalman filtering (UKF) algorithm to reconstruct the chaotic signal. The results show that this method can recover the chaotic signal effectively and achieve close performance to the benchmark case where the observations are not quantized. The UKF is also compared with the optimal best linear unbiased estimator (BLUE).
Hongbin Chen Jiuchao Feng Chi K.Tse
School of Electronic and Information Engineering, South China University of Technology, Guangzhou 51 Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, C
国际会议
2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)
成都
英文
187-190
2009-07-23（万方平台首次上网日期，不代表论文的发表时间）