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Front. Inform. Technol. Electron. Eng.  2010, Vol. 11 Issue (4): 261-269    DOI: 10.1631/jzus.C0910037
    
Optimized simulated annealing algorithm for thinning and weighting large planar arrays
Peng Chen1, Bin-jian Shen2, Li-sheng Zhou2, Yao-wu Chen*,1
1 Institute of Advanced Digital Technologies and Instrumentation, Zhejiang University, Hangzhou 310027, China 2 Hangzhou Applied Acoustics Research Institute, Hangzhou 310012, China
Optimized simulated annealing algorithm for thinning and weighting large planar arrays
Peng Chen1, Bin-jian Shen2, Li-sheng Zhou2, Yao-wu Chen*,1
1 Institute of Advanced Digital Technologies and Instrumentation, Zhejiang University, Hangzhou 310027, China 2 Hangzhou Applied Acoustics Research Institute, Hangzhou 310012, China
 全文: PDF(439 KB)  
摘要： This paper proposes an optimized simulated annealing (SA) algorithm for thinning and weighting large planar arrays in 3D underwater sonar imaging systems. The optimized algorithm has been developed for use in designing a 2D planar array (a rectangular grid with a circular boundary) with a fixed side-lobe peak and a fixed current taper ratio under a narrow-band excitation. Four extensions of the SA algorithm and the procedure for the optimized SA algorithm are described. Two examples of planar arrays are used to assess the efficiency of the optimized method. The proposed method achieves a similar beam pattern performance with fewer active transducers and faster convergence ability than previous SA algorithms.
关键词： Simulated annealing (SA);  Sparse planar arrays;  3D underwater sonar imaging;  Beam pattern;  Optimization    
Abstract: This paper proposes an optimized simulated annealing (SA) algorithm for thinning and weighting large planar arrays in 3D underwater sonar imaging systems. The optimized algorithm has been developed for use in designing a 2D planar array (a rectangular grid with a circular boundary) with a fixed side-lobe peak and a fixed current taper ratio under a narrow-band excitation. Four extensions of the SA algorithm and the procedure for the optimized SA algorithm are described. Two examples of planar arrays are used to assess the efficiency of the optimized method. The proposed method achieves a similar beam pattern performance with fewer active transducers and faster convergence ability than previous SA algorithms.
Key words: Simulated annealing (SA)    Sparse planar arrays    3D underwater sonar imaging    Beam pattern    Optimization
收稿日期: 2009-01-15 出版日期: 2010-03-22
CLC:  TB56  
基金资助: Project (No. 2006AA09Z109) supported by the National High-Tech Research and Development Program (863) of China
通讯作者: Yao-wu CHEN     E-mail: cyw@mail.bme.zju.edu.cn
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引用本文:

Peng Chen, Bin-jian Shen, Li-sheng Zhou, Yao-wu Chen. Optimized simulated annealing algorithm for thinning and weighting large planar arrays. Front. Inform. Technol. Electron. Eng., 2010, 11(4): 261-269.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C0910037    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2010/V11/I4/261

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