Fast Multi-Satellite ML Acquisition for A-GPS | |
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Year | 2014 |
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Journal | September 2014 / IEEE Transactions on Wireless Communications [SCI, IF 2.496, JCR Top 13.25%, SJR 1.494], vol. 13, no. 9, pp. 4935-4946 |
Author | Seung-Hyun Kong |
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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). |