Fast Multi-Satellite ML Acquisition for A-GPS

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Successful position fix in harsh environments such as indoors and dense urban canyons is a strongly required capability for an assisted global positioning system (A-GPS) receiver. In recently developed cellular networks, receiving fine time assistance and maintaining high-frequency accuracy using downlink measurements are not possible for A-GPS receivers, since node-Bs are asynchronous and are not equipped with a source for precise time and frequency. In this paper, we propose a correlator-based fast multi-satellite maximum likelihood (MSML) algorithm, for A-GPS receivers in asynchronous networks, that achieves fast acquisition utilizing fast computation techniques. From numerous Monte Carlo simulations, it is demonstrated that the proposed fast MSML algorithm, when compared with conventional correlator-based acquisition techniques used in standalone GPS and A-GPS receivers, provides higher detection sensitivity for weak signals in the presence of other strong signals by removing strong inter-satellite interference (ISI).
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2014-09
Language
English
Article Type
Article
Citation

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.13, no.9, pp.4935 - 4946

ISSN
1536-1276
DOI
10.1109/TWC.2014.2327101
URI
http://hdl.handle.net/10203/194153
Appears in Collection
GT-Journal Papers(저널논문)
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