Distributed Hybrid Particle/FIR Filtering for Mitigating NLOS Effects in TOA-Based Localization Using Wireless Sensor Networks

For indoor localization based on wireless sensor networks, the transmission of wireless signals can be disrupted by obstacles and walls. This situation, called non-line-of-sight (NLOS), degrades localization accuracy and may lead to localization failures. This paper proposes a new NLOS identificatio...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2017-06, Vol.64 (6), p.5182-5191
Main Authors: Jung Min Pak, Choon Ki Ahn, Peng Shi, Shmaliy, Yuriy S., Myo Taeg Lim
Format: Article
Language:English
Subjects:
Algorithms
Atmospheric measurements
Computer simulation
Distributed filtering
distributed hybrid particle/finite impulse response (FIR) filter
Failure
Finite impulse response filters
FIR filters
indoor localization
Localization
non-line-of-sight (NLOS)
Nonlinear optics
Particle measurements
Position measurement
Receivers
Remote sensors
wireless sensor network (WSN)
Wireless sensor networks
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Summary:For indoor localization based on wireless sensor networks, the transmission of wireless signals can be disrupted by obstacles and walls. This situation, called non-line-of-sight (NLOS), degrades localization accuracy and may lead to localization failures. This paper proposes a new NLOS identification algorithm based on distributed filtering to mitigate NLOS effects, including localization failures. Rather than processing all measurements via a single filter, the proposed algorithm distributes the measurements among several local filters. Using distributed filtering and data association techniques, abnormal measurements due to NLOS are identified, and negative effects can be prevented. To address cases of localization failures due to NLOS, the hybrid particle finite impulse response filter (HPFF) was adopted. The resulting distributed HPFF can self-recover by detecting failures and resetting the algorithm. Extensive simulations of indoor localization using time of arrival measurements were performed for various NLOS situations to demonstrate the effectiveness of the proposed algorithm.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2016.2608897