Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks

We present a target localization method using an approximated error covariance matrix based weighted least squares (WLS) solution, which integrates received signal strength (RSS) and angle of arrival (AOA) data for wireless sensor networks. We approximated linear WLS errors via second-order Taylor a...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2020-02, Vol.20 (4), p.1159
Main Authors: Kang, SeYoung, Kim, TaeHyun, Chung, WonZoo
Format: Article
Language:English
Subjects:
angle of arrival (aoa)
received signal strength (rss)
target localization
weighted least square (wls)
wireless sensor network (wsn)
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Summary:We present a target localization method using an approximated error covariance matrix based weighted least squares (WLS) solution, which integrates received signal strength (RSS) and angle of arrival (AOA) data for wireless sensor networks. We approximated linear WLS errors via second-order Taylor approximation, and further approximated the error covariance matrix using a least-squares solution and the variance in measurement noise over the sensor nodes. The algorithm does not require any prior knowledge of the true target position or noise variance. Simulations validated the superior performance of our new method.
ISSN:1424-8220
1424-8220
DOI:10.3390/s20041159