DocumentCode :
1787627
Title :
Localization and array shape estimation using software defined radio array testbed
Author :
Akindoyin, Akinbiyi ; Willerton, Marc ; Manikas, Athanassios
Author_Institution :
Electr. & Electron. Eng., Imperial Coll. London, London, UK
fYear :
2014
fDate :
22-25 June 2014
Firstpage :
189
Lastpage :
192
Abstract :
The emergence of software defined radio (SDR) aims to increase flexibility as well as reduce cost, size, weight and power (SWAP) inherent in traditional hardware radios. This paper is concerned with addressing issues associated with the formation of an array system from multiple SDR boards where each has an independent local oscillators (LO) in a multi-antenna system using representative examples such as localization and array shape estimation. In particular, practical experimental results are initially presented for estimating the unknown location of a single source using an SDR array of known array geometry. Furthermore, in the case that the SDR array geometry is unknown, a novel array shape estimation algorithm is proposed. The proposed algorithm estimates the antenna locations without requiring any external sources. This is achieved by allowing the array elements operate as transceivers.
Keywords :
antenna arrays; oscillators; radio transceivers; software radio; SDR array geometry; SDR boards; antenna locations; array geometry; array shape estimation; array system; local oscillators; localization; multiantenna system; shape estimation algorithm; software defined radio array testbed; transceivers; Arrays; Conferences; Estimation; Shape; Signal processing; Software; Vectors; Software defined radio; array shape estimation; localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th
Conference_Location :
A Coruna
Type :
conf
DOI :
10.1109/SAM.2014.6882372
Filename :
6882372
Link To Document :
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