A Novel Sequential Monte Carlo Method Based Synthetic Aperture Reconstruction Approach for Real-Time 3D Wireless Local Positioning

Li G, Ebelt R, Vossiek M (2012)


Publication Type: Journal article

Publication year: 2012

Journal

Publisher: Walter de Gruyter

Book Volume: 66

Pages Range: 363-371

Journal Issue: 11-12

DOI: 10.1515/freq-2012-0102

Abstract

In this paper, we introduce a precise real-time 3D indoor localization concept using a combination of the MISAS (multilateral inverse synthetic aperture secondary radar) approach and SMCM (sequential Monte Carlo method). The synthetic aperture approach is a promising locating technique with effective multipath suppression. However, its practical use is restricted by the huge computational load of the reconstruction algorithms. We use a weighted-particle set-which we reduce subsequently by resampling-to represent the PDF (probability density function) instead of the highly complex, standard, grid-based approach. Simulation runs and experiments, carried out with a 5.8 GHz FMCW secondary radar system with a bandwidth of only 140 MHz, show that a robot TCP (tool center point) can be localized in 3D in the mmrange using a few hundred particles and operating in a dense multipath environment. This novel extension is a promising solution for real-time, 3D MISAS localization applications.

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How to cite

APA:

Li, G., Ebelt, R., & Vossiek, M. (2012). A Novel Sequential Monte Carlo Method Based Synthetic Aperture Reconstruction Approach for Real-Time 3D Wireless Local Positioning. Frequenz, 66(11-12), 363-371. https://dx.doi.org/10.1515/freq-2012-0102

MLA:

Li, Gang, Randolf Ebelt, and Martin Vossiek. "A Novel Sequential Monte Carlo Method Based Synthetic Aperture Reconstruction Approach for Real-Time 3D Wireless Local Positioning." Frequenz 66.11-12 (2012): 363-371.

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