A Method for Seeking Low-Redundancy Large Linear Arrays in Aperture Synthesis Microwave Radiometers

For one-dimensional aperture synthesis microwave radiometers, the optimal placement of antenna elements in a low-redundancy linear array (LRLA) is difficult when large numbers of elements are involved. In this paper, the general structure of large LRLAs is summarized first, and then a novel stochast...

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Published inIEEE transactions on antennas and propagation Vol. 58; no. 6; pp. 1913 - 1921
Main Authors Dong, Jian, Li, Qingxia, Jin, Rong, Zhu, Yaoting, Huang, Quanliang, Gui, Liangqi
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
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ISSN0018-926X
1558-2221
DOI10.1109/TAP.2010.2046846

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Abstract For one-dimensional aperture synthesis microwave radiometers, the optimal placement of antenna elements in a low-redundancy linear array (LRLA) is difficult when large numbers of elements are involved. In this paper, the general structure of large LRLAs is summarized first, and then a novel stochastic optimization technique, ant colony optimization (ACO), is applied to the search for low redundancy arrays. By combining the general structure with the ACO procedure, an efficient method is proposed for a rapid exploration for optimal array configurations. Numerical studies show that the method can generate various large LRLAs with lower redundancy than the previous algorithms did and the computational cost is greatly reduced. Based on the method, several analytical patterns for LRLAs are further derived, which can yield various array configurations with very low redundancy in nearly zero computation time. Both the method and the resulting configurations can be utilized to facilitate antenna array design in synthetic aperture radiometers with high spatial resolution.
AbstractList For one-dimensional aperture synthesis microwave radiometers, the optimal placement of antenna elements in a low-redundancy linear array (LRLA) is difficult when large numbers of elements are involved. In this paper, the general structure of large LRLAs is summarized first, and then a novel stochastic optimization technique, ant colony optimization (ACO), is applied to the search for low redundancy arrays. By combining the general structure with the ACO procedure, an efficient method is proposed for a rapid exploration for optimal array configurations. Numerical studies show that the method can generate various large LRLAs with lower redundancy than the previous algorithms did and the computational cost is greatly reduced. Based on the method, several analytical patterns for LRLAs are further derived, which can yield various array configurations with very low redundancy in nearly zero computation time. Both the method and the resulting configurations can be utilized to facilitate antenna array design in synthetic aperture radiometers with high spatial resolution.
Author Jian Dong
Liangqi Gui
Rong Jin
Quanliang Huang
Qingxia Li
Yaoting Zhu
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SubjectTerms Ant colony optimization
Ant colony optimization (ACO)
Antenna arrays
Antennas
Aperture
Aperture antennas
aperture synthesis radiometer
Apertures
Arrays
Computational efficiency
Linear antenna arrays
Linear arrays
Mathematical models
Microwave antenna arrays
Microwave radiometers
Microwave theory and techniques
Optimization
Optimization techniques
Pattern analysis
Radiometers
Redundancy
Stochastic processes
Studies
thinned linear arrays
Title A Method for Seeking Low-Redundancy Large Linear Arrays in Aperture Synthesis Microwave Radiometers
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