Combined Particle/FIR Filtering for Indoor Localization Based on Wireless Sensor Networks-Reference-Cited by-同舟云学术

Combined Particle/FIR Filtering for Indoor Localization Based on Wireless Sensor Networks

Published:2021-05-10 Issue: Volume:1 Page:34-40
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Author:

Pak Jung Min¹,Ahn Choon Ki¹,Lim Myo Taeg¹,Shmaliy Yuriy S.²

Affiliation:

1. Korea University School of Electrical Engineering 145, Anam-ro, Seongbuk-gu, Seoul REPUBLIC OF KOREA

2. Universidad de Guanajuato Department of Electronics Engineering Salamanca, 36885 MEXICO

Abstract

In this paper, we propose a new nonlinear f ltering algorithm that can provide more accurate and reliable localization compared with the pure particle f ltering (PF). In the proposed algorithm, failures of the PF are detected, and the failed PF is recovered using a f nite impulse response (FIR) f lter. The resulting f lter is called the combined particle/FIR f lter (CPFF). We demonstrate the performance of the CPFF by the indoor human localization.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

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