Open AccessEnergy efficient network localisation using hybrid TOA/AOA measurements
Author(s) -
Yuan Peng,
Zhang Tingting,
Yang Nian,
Xu Hongguang,
Zhang Qinyu
Publication year - 2019
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2018.5419
Subject(s) - angle of arrival , computer science , time of arrival , mathematical optimization , focus (optics) , resource allocation , convexity , wireless sensor network , energy (signal processing) , integer programming , algorithm , wireless , real time computing , antenna (radio) , telecommunications , computer network , mathematics , statistics , physics , financial economics , optics , economics
Accurate position information is the basis of many modern wireless applications. Hybrid time of arrival/angle of arrival (TOA/AOA) measurements are attractive in location‐aware networks, especially when the number of anchors is limited. Recent investigations show that proper resource allocation is of great importance in cost and complexity restricted localisation networks. In this study, the authors focus on the energy efficient localisation strategy using hybrid TOA/AOA measurements. A joint resource allocation and antenna selection framework is presented to minimise the localisation error. Due to the essential non‐convexity of the original formulated integer programming problem, a low complexity and high accuracy two‐phase solution is presented to perform proper convex relaxations. Numeric results validate the authors' analysis, and provide meaningful insights to practical TOA/AOA localisation networks.