DocumentCode
714831
Title
Array aperture extrapolation using sparse reconstruction
Author
Anitori, Laura ; van Rossum, Wim ; Huizing, Albert
Author_Institution
TNO The Hague, Netherlands
fYear
2015
fDate
10-15 May 2015
Abstract
In this paper we present some preliminary results on antenna array extrapolation for Direction Of Arrival (DOA) estimation using Sparse Reconstruction (SR). The objective of this study is to establish wether it is possible to achieve with an array of a given physical length the performance (in terms of accuracy, resolution and sidelobe level) of an equivalent larger array by using SR. The difference between our work and previous publications on DOA estimation using SR lies in the fact that we do not use SR as a beamformer, but instead we use the sparse solution for aperture extrapolation. We adopt an approach similar to the one of Swingler and Walker in [1], where the extrapolated sensor data are first tapered and then beamformed to suppress sidelobes of strong interfering targets, resulting in improved detection of weak targets.
Keywords
array signal processing; direction-of-arrival estimation; extrapolation; signal reconstruction; signal resolution; DOA estimation; array aperture extrapolation; beamformer; direction of arrival estimation; extrapolated sensor data; sparse reconstruction; Accuracy; Arrays; Direction-of-arrival estimation; Extrapolation; Signal resolution; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference (RadarCon), 2015 IEEE
Conference_Location
Arlington, VA
Print_ISBN
978-1-4799-8231-8
Type
conf
DOI
10.1109/RADAR.2015.7131002
Filename
7131002
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