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Pre-processing Scheme for Indoor Precision Tracking Based on Beacon  

Hwang, Yu Min (광운대학교 유비쿼터스 통신 연구실)
Jung, Jun Hee (광운대학교 유비쿼터스 통신 연구실)
Shim, Issac (광운대학교 유비쿼터스 통신 연구실)
Kim, Tae Woo ((주)미래이앤아이 경영지원부)
Kim, Jin Young (광운대학교 유비쿼터스 통신 연구실)
Publication Information
Journal of Satellite, Information and Communications / v.11, no.4, 2016 , pp. 58-62 More about this Journal
Abstract
In this paper, we propose a pre-processing scheme for improving indoor positioning accuracy in impulsive noise channel environments. The impulsive noise can be generated by multi-path fading effects by complicated indoor structures or interference environments, which causes an increase in demodulation error probability. The proposed pre-processing scheme is performed before a triangulation method to calculate user's position, and providing reliable input data demodulated from a received signal to the triangulation method. Therefore, we studied and proposed an adaptive threshold function for mitigation of the impulsive noise based on wavelet denoising. Through results of computer simulations for the proposed scheme, we confirmed that Bit Error Rate and Signal-to-Noise Ratio performance is improved compared to conventional schemes.
Keywords
Indoor positioning; impulsive noise; pre-processing scheme; wavelet transform; multiple thresholding;
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  • Reference
1 C. Huang, L. Lee, L. Wu, and Z. Lai, "Real-time RFID indoor positioning system based on Kalman-filter drift removal and Heron-bilateration location estimation,"IEEE Transactions on Instrumentation and Measurement, vol. 64, no. 3, pp. 728-739, Mar. 2015.   DOI
2 S. F. A. Shah, S. Srirangarajan, and A. H. Tewfik, "Implementation of a directional beacon-based position location algorithm in a signal processing framework," IEEE Transactions on Wireless Communications, vol. 9, no. 3, pp. 1044-1053, Mar. 2010.   DOI
3 J. Joy, S. Peter, and N. John, "Denoising using soft thresholding", International Journal of Advanced Research in Electrical, vol. 2, no. 3, 2013.
4 H. Y. Lina, S. Y. Lianga, Y. L. Hob, Y. H. Linb, and H. P. Ma, "Discrete-wavelet-transform based noise removal and feature extraction for ECG signals", Innovation and Research in BioMedical engineering (IRBM), 2014.
5 L. Chun-Lin, A tutorial of the wavelet transform, 2010.
6 Y. Meyer, Wavelets and Operators, 1993, Cambridge Univ. Press.