Sparse Array Synthesis with Two-Stage Progressive BCS and Undirected Graph-Based Spacing Constraint

Sparse arrays are widely used to achieve full array performance with fewer elements to reduce the cost of array and beamforming computation. Sparse array synthesis methods such as Bayesian compressed sensing (BCS) yield small element numbers; however, they are limited by the tradeoff between complex...

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Veröffentlicht in:	Circuits, systems, and signal processing Jg. 43; H. 5; S. 3118 - 3138
Hauptverfasser:	Jiang, Shiyao, Jiang, Rongxin, Liu, Xuesong, Zhou, Fan, Chen, Yaowu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.05.2024 Springer Nature B.V
Schlagworte:	Accuracy Arrays Beamforming Circuits and Systems Cost function Electrical Engineering Electronics and Microelectronics Engineering Global optimization Instrumentation Machine learning Pattern matching Sidelobe reduction Sidelobes Signal,Image and Speech Processing Synthesis Minimum-spacing constraint Sparse array synthesis Array signal processing Surrogate convex cost function Bayesian compressed sensing (BCS)
ISSN:	0278-081X, 1531-5878
Online-Zugang:	Volltext
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