Fuzzy neighborhood filters for UWB range radios in multipath environments

Ka C. Cheok; Gregory R. Hudas; James L. Overholt

doi:10.1117/12.782266

19 April 2008 Fuzzy neighborhood filters for UWB range radios in multipath environments

Ka C. Cheok, Gregory R. Hudas, James L. Overholt

Proceedings Volume 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI; 69790J (2008) https://doi.org/10.1117/12.782266
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

An ultra-wideband (UWB) inter-radio ranging technology with measurement resolution of +/-0.5 ft and range up to 0.5 kilometer under certain FCC regulation was recently introduced. However, measurement data are extremely erroneous due to stochastic variables in the device and multipath radio wave reflections. This paper presents fuzzy logic tuned double tracking filters as a solution to remove misinformation in the data. The 1st tracker locates the overall center of the data in the presence of the large sporadic noise. A fuzzy logic admits only neighborhood data to a 2nd tracker which takes care of smaller deviation noise. The fuzzy neighborhood filter approach has been successfully applied to clean up the UWB radio ranges. Experimental results are shown.

Citation Download Citation

Ka C. Cheok, Gregory R. Hudas, and James L. Overholt "Fuzzy neighborhood filters for UWB range radios in multipath environments", Proc. SPIE 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI, 69790J (19 April 2008); https://doi.org/10.1117/12.782266

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