Enhanced Cellular Network Positioning using Space-Time Diversity

Ahmad R. Abdolhosseini Moghaddam, Ali Broumandan, Gerard Lachapelle, John Nielsen

Abstract:	This paper presents a generalization of MUltiple-SIgnal- Component (MUSIC) time of arrival (TOA) estimation using spatial-temporal diversities to enhance the resolvability of the leading edge component as the signal of interest in wireless positioning applications. Combining different covariance matrices corresponding to different diversity branches leads to an effective covariance matrix with better properties in terms of MUSIC requirements. Performance evaluations and analysis of the space-time MUSIC technique are demonstrated using field measurements of the typical outdoor IS-95 CDMA radio propagation channel in both static and pseudo-static scenarios.
Published in:	Proceedings of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2007) September 25 - 28, 2007 Fort Worth Convention Center Fort Worth, TX
Pages:	1733 - 1740
Cite this article:	Moghaddam, Ahmad R. Abdolhosseini, Broumandan, Ali, Lachapelle, Gerard, Nielsen, John, "Enhanced Cellular Network Positioning using Space-Time Diversity," Proceedings of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2007), Fort Worth, TX, September 2007, pp. 1733-1740.
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