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.
Du Plessis, W.P. (Warren Paul); Bin Ghannam, A.(Institute of Electrical and Electronics Engineers, 2014-11)
This communication considers the synthesis of interleaved antenna
arrays with shared and inactive elements. A hybrid genetic algorithm
(GA) where the initial population is seeded with good solutions is proposed.
A number ...
Laue, Heinrich Edgar Arnold; Du Plessis, W.P. (Warren Paul)(Institute of Electrical and Electronics Engineers, 2019-11)
Existing overlapped subarray techniques for beamforming arrays aim to realize flat-topped subarray radiation patterns, where pattern synthesis is constrained by the hardware configuration. A generalized framework for ...