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Thinned arrays using genetic algorithms

Haupt, R.L.·1994·IEEE Transactions on Antennas and Propagation

Abstract

Large arrays are difficult to thin in order to obtain low sidelobes. Traditional statistical methods of aperiodic array synthesis fall far short of optimum configurations. Traditional optimization methods are not well suited for optimizing a large number of parameters or discrete parameters. This paper presents how to optimally thin an array using genetic algorithms. The genetic algorithm determines which elements are turned off in a periodic array to yield the lowest maximum relative sidelobe level. Simulation results for 200 element linear arrays and 200 element planar arrays are shown. The arrays are thinned to obtain sidelobe levels of less than -20 dB. The linear arrays are also optimized over both scan angle and bandwidth.>

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Metadata

Authors
Haupt, R. L.
Venue
IEEE Transactions on Antennas and Propagation
Published
1994-07
Volume
42
Issue
7
Pages
993-999
ISSN
  • 0018-926X (ISSN-L)
  • 1558-2221
OpenAlex
W2153441899
Cited by
1,114
References
3
FWCI
25.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Thinned arrays using genetic algorithms. https://app.cochat.ai/papers/10.1109/8.299602
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Haupt, R. L. (1994). Thinned arrays using genetic algorithms. IEEE Transactions on Antennas and Propagation. https://doi.org/10.1109/8.299602

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