Linear Sparse Array Synthesis With Minimum Number of Sensors

The number of sensors employed in an array affects the array performance, computational load, and cost. Consequently, the minimization of the number of sensors is of great importance in practice. However, relatively fewer research works have been reported on the later. In this paper, a novel optimiz...

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Veröffentlicht in:	IEEE transactions on antennas and propagation Jg. 58; H. 3; S. 720 - 726
Hauptverfasser:	Ling Cen, Wee Ser, Zhu Liang Yu, Rahardja, S., Wei Cen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.03.2010 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Antennas Apertures Applied sciences Arrays Beam pattern synthesis Beams (radiation) Computation Computational efficiency Costs Exact sciences and technology Genetic algorithms genetic algorithms (GAs) Gratings linear arrays Mathematical models Optimization Optimization methods peak sidelobe level (PSL) Radiocommunications Sensor arrays Sensor systems Sensors Sidelobes Signal synthesis sparse arrays Spatial resolution Studies Telecommunications Telecommunications and information theory Performance evaluation Lateral lobe peak sidelobe level (PSL) Sparse array Noise reduction linear arrays Computational complexity Optimization Interference suppression Beam pattern synthesis sparse arrays Genetic algorithm Signal processing Numerical simulation genetic algorithms (GAs) Linear antenna arrays Pattern synthesis Antenna synthesis
ISSN:	0018-926X, 1558-2221
Online-Zugang:	Volltext
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