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Progress In Electromagnetics Research
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A ROBUST VECTOR MATCHING LOCALIZATION APPROACH BASED ON MULTIPLE CHANNELS SSD FINGERPRINTING OF ZIGBEE NETWORKS

By L. Chu, X.-S. Guo, B. Li, B. Xu, Q. Wan, and Y. Shen

Full Article PDF (310 KB)

Abstract:
We present a robust multiple-channel vector-matching localization approach (MCVM) based on signal strength difference (SSD) fingerprinting of ZigBee Network. Compared with some existing algorithms, our presented approach has threefold advantages: firstly, far fewer numbers of received signal strength(RSS) measurements and reference nodes are needed; secondly, it shows more robustness to the fluctuation of RSS; thirdly, it requires low time-consuming signal strength collection surveys in the location space. We demonstrate the performances of our algorithm experimentally using different numbers of channels, reference nodes and training points. The Cramer-Rao Low Bound(CRLB) of SSD is derived in order to compare the performance of the different localization methods addressed. The experiment results show the efficacy of our proposed approach.

Citation:
L. Chu, X.-S. Guo, B. Li, B. Xu, Q. Wan, and Y. Shen, "A Robust Vector Matching Localization Approach Based on Multiple Channels Ssd Fingerprinting of Zigbee Networks," Progress In Electromagnetics Research, Vol. 144, 133-140, 2014.
doi:10.2528/PIER13112004
http://www.jpier.org/PIER/pier.php?paper=13112004

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