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Multiple transmitter localization and communication footprint identification using sparse reconstruction techniques

Venugopalakrishna, YR and Murthy, Chandra R and Kottapalli, Sneha Latha and Dutt, Narayana D (2011) Multiple transmitter localization and communication footprint identification using sparse reconstruction techniques. In: 2011 IEEE International Conference on Communications (ICC), 5-9 June 2011, Kyoto, Japan.

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Official URL: http://dx.doi.org/10.1109/icc.2011.5963135

Abstract

This paper considers the problem of identifying the footprints of communication of multiple transmitters in a given geographical area. To do this, a number of sensors are deployed at arbitrary but known locations in the area, and their individual decisions regarding the presence or absence of the transmitters' signal are combined at a fusion center to reconstruct the spatial spectral usage map. One straightforward scheme to construct this map is to query each of the sensors and cluster the sensors that detect the primary's signal. However, using the fact that a typical transmitter footprint map is a sparse image, two novel compressive sensing based schemes are proposed, which require significantly fewer number of transmissions compared to the querying scheme. A key feature of the proposed schemes is that the measurement matrix is constructed from a pseudo-random binary phase shift applied to the decision of each sensor prior to transmission. The measurement matrix is thus a binary ensemble which satisfies the restricted isometry property. The number of measurements needed for accurate footprint reconstruction is determined using compressive sampling theory. The three schemes are compared through simulations in terms of a performance measure that quantifies the accuracy of the reconstructed spatial spectral usage map. It is found that the proposed sparse reconstruction technique-based schemes significantly outperform the round-robin scheme.

Item Type: Conference Proceedings
Additional Information: Copyright of this article belongs to IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Depositing User: Id for Latest eprints
Date Deposited: 03 Apr 2013 06:55
Last Modified: 03 Apr 2013 06:55
URI: http://eprints.iisc.ac.in/id/eprint/46185

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