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Wireless Networks
Erschienen in: Wireless Networks 2/2017

29.12.2015

Source localization using TDOA and FDOA measurements based on modified cuckoo search algorithm

verfasst von: Mohamed Abd El Aziz

Erschienen in: Wireless Networks | Ausgabe 2/2017

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Abstract

This paper introduces a new algorithm for solving the localization problem of moving multiple disjoint sources using time difference of arrival and frequency difference of arrival. The localization of moving sources can be considered as a least-square problem. There are many algorithms used to solve this problem such as, two-step weighted least squares, constrained total least-square and practical constrained least-square. However, most of these algorithms suffer from either slow convergence or numerical instability and don’t attain Cramer–Rao lower bound. We introduce a free-gradient algorithm called cuckoo search which avoids the slow convergence problem. The cuckoo search provides a combined global and local search method. Simulation results show that the proposed algorithm achieves better performance than other algorithms and attains Cramer–Rao lower bound.
Vorheriger Artikel Fair QoS multi-resource allocation for uplink traffic in WLAN
Nächster Artikel An overview of spectrum sharing techniques in cognitive radio communication system

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Metadaten
Titel
Source localization using TDOA and FDOA measurements based on modified cuckoo search algorithm
verfasst von
Mohamed Abd El Aziz
Publikationsdatum
29.12.2015
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 2/2017
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-015-1158-y

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