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De-ghosting of tomographic images in a radar network with sparse angular sampling

Published online by Cambridge University Press:  15 September 2010

Angie Fasoula ,
Hans Driessen  and
Piet van Genderen
Angie Fasoula*
Affiliation:
Thales Nederland BV, Delft, The Netherlands.
Hans Driessen
Affiliation:
Thales Nederland BV, Hengelo, The Netherlands.
Piet van Genderen
Affiliation:
IRCTR, Delft University of Technology, Delft, The Netherlands.
*
Corresponding author: A. Fasoula Email: angie.fasoula@thalesgroup.com
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Abstract

Taking into account sparsity of the reflectivity function of several radar targets of interest, efficient low-complexity automatic target recognition (ATR) systems can be designed. Such ATR systems would be based on two-dimensional (2D) spatial target models of low dimensionality, where critical information on the radar target signature is summarized. Discrete 2D radar target models can be estimated using high range resolution (HRR) data, measured at a sparse system of view angles. This being the main objective, incoherent tomographic processing of HRR data from a distributed surveillance system, made up of several radar nodes, is studied in this paper. A sparse angular sampling scheme is proposed, which exploits diversity due to both the distributed radar system and the target motion. The novelty is in the exploitation of this locally dense, but otherwise sparse set of viewing angles of the targets, obtained using a sparse network of radars. The de-ghosting efficiency of such a sampling scheme is demonstrated geometrically. This results in identification of minimal information resources for unambiguous estimation of a 2D target model, useful for radar target classification.

Keywords

2D radar imagingRadar networkHigh resolutionIncoherent back-projectionSparse samplingDe-ghosting
Type
Original Article
Information
International Journal of Microwave and Wireless Technologies , Volume 2 , Special Issue 3-4: European Microwave Week 2009 , August 2010 , pp. 359 - 367
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2010

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References

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