Design of a Fixed Aperture 2D Sparse Radar Array

We present a methodology for the optimization of planar SIMO arrays limited by fixed apertures and levels of sparsity. The aim is to optimize the ambiguity function of the array on a uniform λ/2-grid in means of sidelobe level (SLL), whilst maintaining main-lobe widths comparable to the full array c...

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Bibliographic Details
Published in2024 21st European Radar Conference (EuRAD) pp. 111 - 114
Main Authors Kurtscheid, Christian, Gonzalez-Huici, Maria A.
Format Conference Proceeding
LanguageEnglish
Published European Microwave Association (EuMA) 25.09.2024
Subjects
Apertures
Array Design
Compressed sensing
Compressive Sensing
DoA Estimation
Measurement
Noise level
Optimization
Radar
Sensors
Signal to noise ratio
Simulated annealing
Sparse Arrays
Sparse Reconstruction
Testing
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Summary:We present a methodology for the optimization of planar SIMO arrays limited by fixed apertures and levels of sparsity. The aim is to optimize the ambiguity function of the array on a uniform λ/2-grid in means of sidelobe level (SLL), whilst maintaining main-lobe widths comparable to the full array configuration. Optimization within the given constraints is performed via a simulated annealing based algorithm. We compare achievable maximal SLL of arrays of varying sparsity but same aperture size. Applying compressive sensing algorithms for reconstruction, we further evaluate their respective performance in terms of resolution in simulated target scenario snapshots.
DOI:10.23919/EuRAD61604.2024.10734930