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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
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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     
Received: 15 January 2009      Published: 22 March 2010
CLC:  TB56  
Fund:  Project (No. 2006AA09Z109) supported by the National High-Tech Research and Development Program (863) of China
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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/10.1631/jzus.C0910037     OR     http://www.zjujournals.com/xueshu/fitee/Y2010/V11/I4/261


Optimized simulated annealing algorithm for thinning and weighting large planar arrays

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 
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