Wireless Positioning Approach Based on Stochastic Resonance

Di He, Peilin Liu, Wenxian Yu

Peer Reviewed

Abstract:	A kind of wireless sensor networks positioning approach based on the nonlinear stochastic resonance (SR) technique is proposed in this research. While in the ubiquitous positioning services or applications especially by using the wireless sensor networks, the detected signal will transmit through the wireless channel, which possesses lots of channel fading, multi-path effect, multi-user interference, inter-symbol interference and many other kinds of uncertainties. These influences will lead to the attenuation of the receiving signal-to-noise ratio (SNR) at the positioning terminal and certainly reduce the wireless positioning accuracy. To overcome this problem and enhance the wireless positioning accuracy effectively, we try to utilize the nonlinear dynamic approach of SR to improve the receiving SNR. By introducing the received signal strength indicator (RSSI) as the input driving signal of the SR system, and introducing the additive noise as the SR noise to achieve the SNR gain, the optimal output SNR can be achieved. And then by using the conventional cooperative and centralized fusion method, the positioning performance especially under some bad transmission environments may be improved significantly. Computer simulation and real application results verify the effectiveness of the proposed approach. This approach can be utilized or applied in many wireless sensor networks signal based positioning situations.
Published in:	Proceedings of the 28th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2015) September 14 - 18, 2015 Tampa Convention Center Tampa, Florida
Pages:	2335 - 2342
Cite this article:	He, Di, Liu, Peilin, Yu, Wenxian, "Wireless Positioning Approach Based on Stochastic Resonance," Proceedings of the 28th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2015), Tampa, Florida, September 2015, pp. 2335-2342.
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