Optimization Analysis of Wireless Sensing Signal Fusion Processing Based on BPNN and DS Evidence Theory
Zhengyao Pu · 2019
In order to further improve the timeliness and quality of wireless communication, an optimization method of wireless sensing signal fusion processing based on BPNN and DS evidence theory is proposed. The basic idea of the method: PSO is used as the link between BPNN and DS evidence theory in the field of wireless sensing signals, and achieves the global optimal solution process in signal processing and wireless communication. In the signal acquisition stage of wireless sensor nodes, BPNN is used to realize the artificial intelligence acquisition process of signal output, and PSO is used to realize the global optimal allocation of signal weight from signal acquisition input to signal output analysis; in the information fusion stage of wireless communication, DS evidence theory is used to realize the information fusion process, and PSO is used to realize the global optimal solution of information discrimination evidence synthesis. By proposing the joint innovation mode of the above intelligent algorithms, the main contributions of this paper are as follows: with the BPNN with PSO method, redundant signal compression processing and signal analysis efficiency can be improved; with the DS evidence theory with PSO method, the accuracy of information discrimination for wireless communication can be improved. This scientifically reconciles the contradiction between signal compression and information extraction.