Synthesis of Sparse Arrays With Discrete Phase Constraints via Mixed-Integer Programming

Synthesizing sparse arrays with discrete phase constraints is a critical problem in many applications. In this letter, we present a novel approach for synthesizing sparse arrays with discrete phase constraints using mixed-integer programming (MIP). The proposed approach optimizes both antenna positi...

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Bibliographic Details

Published in:	IEEE antennas and wireless propagation letters Vol. 23; no. 3; pp. 1030 - 1034
Main Authors:	Xia, Dongnan, Zhang, Xuejing
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Convex functions Discrete phase constraint Integer programming Linear programming Mixed integer mixed-integer programming (MIP) Mutual coupling phase-only reconfigurable array Phased arrays Programming Quantization (signal) Radar antennas sparse array synthesis Sparse matrices Synthesis
ISSN:	1536-1225, 1548-5757
Online Access:	Get full text
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