Array aperture extrapolation using sparse reconstruction

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...

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Bibliographic Details
Main Authors: Anitori, Laura, van Rossum, Wim, Huizing, Albert
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Arrays
Direction-of-arrival estimation
Extrapolation
Signal resolution
Signal to noise ratio
Online Access:Request full text
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Summary: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.
ISSN:1097-5659
2375-5318
DOI:10.1109/RADAR.2015.7131002