Numerical optimisation of compressive array feed networks
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Authors
Laue, Heinrich Edgar Arnold
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Institute of Electrical and Electronics Engineers
Abstract
Compressive antenna arrays reduce the number of beamforming controls by taking a limited number of weighted combinations of the element signals. A compressive array sidelobe level (SLL)-minimisation algorithm, inspired by coherence-optimisation algorithms, is presented. Optimised compressive arrays are shown to obtain better SLLs than existing weighted thinned arrays and completely overlapped subarrays. The design of a compressive array with arbitrary sidelobe requirements shows that increasing the number of elements for a given number of beamforming controls improves array performance over a conventional array. A compressive array with a hard null is proposed to suppress interference before sampling. Where beamforming controls are the main cost drivers, the proposed approach promises to increase array performance without a significant increase in cost.
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Keywords
Antenna arrays, Antenna feeds, Antenna pattern synthesis, Coherence, Compressive sensing (CS), Phased arrays, Array signal processing, Sensors, Optimization, Array processing, Beamforming, Coherent light, Directional patterns (antenna)
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Citation
Laue, H.E.A. & Du Plessis, W.P. 2018, 'Numerical optimisation of compressive array feed networks', IEEE Transactions on Antennas and Propagation, vol. 66, no. 7, pp. 3432-3440.