Paper
14 May 2015 Sparsity-based DOA estimation of coherent and uncorrelated targets using transmit/receive co-prime arrays
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Abstract
In this paper, we use transmit/receive co-prime arrays for direction finding of mixed coherent and uncorrelated targets based on the concept of sum coarrays. The sum coarray is defined as the set of pair-wise sums of the position vectors of the elements in the transmit and receive apertures. The data measurements from the transmit/receive co-prime array are used to emulate observations at a virtual array, whose element positions are given by the sum coarray corresponding to the co-prime array. A group sparse reconstruction problem is formulated employing multiple snapshots, where each group corresponding to a specific angle of arrival extends across all the time samples. The number of resolvable targets for the proposed sparsity-based approach is limited by the number of elements in the sum coarray. Supporting simulation results are provided, which validate the effectiveness of the proposed direction finding method.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Elie BouDaher, Fauzia Ahmad, and Moeness G. Amin "Sparsity-based DOA estimation of coherent and uncorrelated targets using transmit/receive co-prime arrays", Proc. SPIE 9484, Compressive Sensing IV, 94840E (14 May 2015); https://doi.org/10.1117/12.2177597
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Chemical elements

Transmitters

Active remote sensing

Receivers

Reconstruction algorithms

Sensors

Communication engineering

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