A blind source separation algorithm for wireless sensor networks
Geng Yun-zh · Transducer and Microsystem Technologies · 2015
Error correction mechanism in wireless networks protocol is complicated,which aggravate band burden of wireless communication. Blind source separation can reconstruct source signal without any prior knowledge,which becomes a hotspot in the field of wireless sensor networks( WSNs). However,it is difficult to determine the number of quantization bits and Modems in the network deployment. Aiming at above problems,propose a blind source separation algorithm based on square root volume Kalman filtering( SRCKF). Algorithm estimates separated vector with square root volume using Kalman filtering. The experimental results show that SRCKF algorithm can effectively calculate the best quantization bits and Modem 's number. The efficiency of SRCKF algorithm is 1. 3578 times that of similar UKF algorithm.