2D DOA and Polarization Estimation Using Parallel Synthetic Coprime Array of Non-Collocated EMVSs

For target detection and recognition in a complicated electromagnetic environment, the two-dimensional direction-of-arrival and polarization estimation using a polarization-sensitive array has been receiving increased attention. To efficiently improve the performance of such multi-parameter estimati...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2024-08, Vol.16 (16), p.3004
Main Authors: Yang, Yunlong, Shan, Mengru, Jiang, Guojun
Format: Article
Language:English
Subjects:
Algorithms
Antenna arrays
antennae
Antennas
Arrays
coprime array
cost effectiveness
couplings
degrees of freedom
Dimensional analysis
Direction of arrival
direction-of-arrival estimation
domain
Mutual coupling
Parameter estimation
Parameter sensitivity
Performance enhancement
Polarization
polarization estimation
remote sensing
Signal reconstruction
simulation models
Target detection
Theoretical analysis
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Summary:For target detection and recognition in a complicated electromagnetic environment, the two-dimensional direction-of-arrival and polarization estimation using a polarization-sensitive array has been receiving increased attention. To efficiently improve the performance of such multi-parameter estimation in practice, this paper proposes a parallel synthetic coprime array with reduced mutual coupling and hardware cost saving and then presents a dimension-reduction compressive sensing-based estimation method. For the proposed array, the polarization types, numbers, and positions of antennas in each subarray are jointly considered to effectively mitigate mutual coupling in the physical array domain and to both enhance degrees of freedom and extend the aperture in the difference coarray domain with the limited physical antennas. By exploring the array configuration, the parameter estimation can be formulated as a block-sparse signal reconstruction problem, and then the one-dimensional sparse reconstruction algorithm is only used once to achieve multi-parameter estimation with automatic pair-matching. The theoretical analysis and simulation results are provided to demonstrate the superior performance of the proposed array and method over the existing techniques.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs16163004