On the design of the measurement matrix for compressed sensing based DOA estimation
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Date
2015
Journal Title
Journal ISSN
Volume Title
Type
Book chapter
Publisher
IEEE
Series Info
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);Pages : 3631-3635
Doi
Scientific Journal Rankings
Abstract
In this paper we investigate the design of the measurement matrix for applying Compressed Sensing (CS) to the
problem of Direction Of Arrival (DOA) estimation with antenna
arrays. So far, it has been suggested to choose the coefficients
randomly since this choice satisfies the restricted isometry property (RIP) with a high probability. We demonstrate that this
choice may be sub-optimal since it can result in an effective array with significant sidelobes and blind spots. The sidelobes are
especially problematic when we use correlation-based greedy algorithms for the sparse recovery stage as they can lead to detecting spurious peaks. To address the problem, we introduce a
design methodology for constructing a measurement matrix that
mitigates these unwanted effects to achieve a better DOA estimation performance. Numerical results demonstrate the usefulness
of our design.
Description
MSA Google Scholar
Keywords
University of Compressive Sensing, DOA Estimation, Measurement Design
Citation
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