An Assisted High-Sensitivity Acquisition Technique for GPS Indoor Positioning

Fabio Dovis, Riccardo Lesca, Davide Margaria, Gianluca Boiero and Giorgio Ghinamo

Abstract:	The extremely low signal-to-noise ratio experienced indoors impairs the acquisition stage of common GPS receivers, since reliable correlation peaks are hardly detected. The optimal strategy to increase the acquisition sensitivity is the extension of the coherent integration time, but the presence of data bits limits the maximum achievable performance. Noncoherent processing is typically used to improve the detection performance, but it requires a large amount of accumulations when applied to indoor signals, resulting in relevant ""squaring loss"". Additionally, the two strategies require high computational efforts, possibly not affordable by mass-market terminals (e.g. mobile phones). The ""assisted GPS"" paradigm, included for instance in 3GPP specifications for GSM/EDGE and UMTS networks, allows for both reducing the overall acquisition complexity and for increasing the acuqisition sensitivity, eventually enabling indoor GPS positioning of low-cost/low-power receivers. In this paper we describe an assisted High-Sensitivity acquisition engine for GPS signals suitable for the indoor location of mobile terminals. A low-complexity data wipe-off technique enables coherent integration times up to 2s. We finally show the results of some tests carried out with indoor signals and the results obtained with both high- and lowaccuracy local oscillators. Index Terms-Global Positioning System, indoor positioning, assisted GNSS, snapshot receivers.
Published in:	Proceedings of IEEE/ION PLANS 2008 May 6 - 8, 2008 Hyatt Regency Hotel Monterey, CA
Pages:	1350 - 1361
Cite this article:	Dovis, Fabio, Lesca, Riccardo, Margaria, Davide, Boiero, Gianluca, Ghinamo, Giorgio, "An Assisted High-Sensitivity Acquisition Technique for GPS Indoor Positioning," Proceedings of IEEE/ION PLANS 2008, Monterey, CA, May 2008, pp. 1350-1361. https://doi.org/10.1109/PLANS.2008.4570123
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