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Erschienen in:
Design and Implementation of Non-intrusive Stationary Occupancy Count in Elevator with WiFi Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Convex Optimization Algorithm for Wireless Localization by Using Hybrid RSS and AOA Measurements

verfasst von : Lufeng Mo, Xiaoping Wu, Guoying Wang

Erschienen in: Broadband Communications, Networks, and Systems

Verlag: Springer International Publishing

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Abstract

With the development of new array technology and smart antenna, it is easier to obtain the angle of arrival (AOA) measurements. The hybrid received signal strength (RSS) and AOA measurement techniques are proposed for the wireless localization in the paper. By converting the measurement equations and relaxing the optimization function, a second order cone programming and semidefinite programming (SOCPSDP) algorithm is put forward to obtain the position estimate by considering the known or unknown transmit power. The proposed SOCPSDP algorithm provides a solution to the source position estimate and avoids the initialization process. The simulations show that the SOCPSDP algorithm performs better than the semidefinite programming (SDP) algorithm. The accuracy performance of the proposed SOCPSDP algorithm degrades as the measurement noises increase.

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Vorheriges Kapitel Human Activity Recognition Using Wi-Fi Imaging with Deep Learning
Nächstes Kapitel Wi-Fi Floor Localization in an Unsupervised Manner
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Metadaten
Titel
Convex Optimization Algorithm for Wireless Localization by Using Hybrid RSS and AOA Measurements
verfasst von
Lufeng Mo
Xiaoping Wu
Guoying Wang
Copyright-Jahr
2019
Buch
Broadband Communications, Networks, and Systems

Print ISBN: 978-3-030-36441-0

Electronic ISBN: 978-3-030-36442-7

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-36442-7_3