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CLC number: TB56

On-line Access: 2010-03-22

Received: 2009-01-15

Revision Accepted: 2009-04-27

Crosschecked: 2009-11-30

Cited: 17

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.4 P.261-269

http://doi.org/10.1631/jzus.C0910037


Optimized simulated annealing algorithm for thinning and weighting large planar arrays


Author(s):  Peng Chen, Bin-jian Shen, Li-sheng Zhou, Yao-wu Chen

Affiliation(s):  Institute of Advanced Digital Technologies and Instrumentation, Zhejiang University, Hangzhou 310027, China, Hangzhou Applied Acoustics Research Institute, Hangzhou 310012, China

Corresponding email(s):   chenpeng123@zju.edu.cn, cyw@mail.bme.zju.edu.cn

Key Words:  Simulated annealing (SA), Sparse planar arrays, 3D underwater sonar imaging, Beam pattern, Optimization


Peng Chen, Bin-jian Shen, Li-sheng Zhou, Yao-wu Chen. Optimized simulated annealing algorithm for thinning and weighting large planar arrays[J]. Journal of Zhejiang University Science C, 2010, 11(4): 261-269.

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DOI - 10.1631/jzus.C0910037


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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Chen, K., Yun, X., He, Z., Han, C., 2007. Synthesis of sparse planar arrays using modified real genetic algorithm. IEEE Trans. Antenn. Propag., 55(4):1067-1073.

[2]Davis, A., Lugsdin, A., 2005. High Speed Underwater Inspection for Port and Harbour Security Using Coda Echoscope 3D Sonar. Proc. MTS/IEEE Oceans, p.2006-2011.

[3]Hansen, R.K., Castellani, U., Murino, V., Fusiello, A., Puppo, E., Papaleo, L., Pittore, M., Gobbi, M., Bisone, L., Kleppe, K., et al., 2005. Mosaicing of 3D Sonar Data Sets: Techniques and Applications. Proc. MTS/IEEE Oceans, p.2326-2333.

[4]Haupt, R.L., 1994. Thinned arrays using genetic algorithms. IEEE Trans. Antenn. Propag., 42(7):993-999.

[5]Haupt, R.L., 2007. Optimized weighting of uniform subarrays of unequal sizes. IEEE Trans. Antenn. Propag., 55(4):1207-1210.

[6]Haupt, R.L., 2008. Optimized element spacing for low sidelobe concentric ring arrays. IEEE Trans. Antenn. Propag., 56(1):266-268.

[7]Kirkebo, J.E., Austeng, A., 2008. Sparse cylindrical sonar arrays. IEEE J. Ocean. Eng., 33(2):224-231.

[8]Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P., 1983. Optimization by simulated annealing. Science, 220(4598):671-680.

[9]MathWorks, Inc., 2008. MATALAB 7 Getting Started Guide. Available from http://www.mathworks.com/access/helpdesk/help/pdf_doc/matlab/getstart.pdf [Accessed on Nov. 28, 2008].

[10]Nielsen, R.O., 1991. Sonar Signal Processing. Artech House, Boston, USA, p.51-57.

[11]Palmese, M., Trucco, A., 2007a. Chirp zeta transform beamforming for three-dimensional acoustic imaging. J. Acoust. Soc. Am., 122(5):EL191-EL195.

[12]Palmese, M., Trucco, A., 2007b. Digital Near Field Beamforming for Efficient 3-D Underwater Acoustic Image Generation. Proc. IEEE Int. Workshop on Imaging Systems and Techniques, p.1-5.

[13]Palmese, M., de Toni, G., Trucco, A., 2006. 3-D Underwater Acoustic Imaging by an Efficient Frequency Domain Beamforming. IEEE Int. Workshop on Imaging Systems and Techniques, p.86-90.

[14]Spence, T.G., Werner, D.H., 2008. Design of broadband planar arrays based on the optimization of aperiodic tilings. IEEE Trans. Antenn. Propag., 56(1):76-86.

[15]Trucco, A., 1999. Thinning and weighting of large planar arrays by simulated annealing. IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 46(2):347-355.

[16]Trucco, A., Palmese, M., Repetto, S., 2008. Devising an affordable sonar system for underwater 3-D vision. IEEE Trans. Instrum. Meas., 57(10):2348-2354.

[17]van Trees, H.L., 2002. Optimum Array Processing. Part IV of Detection, Estimation, and Modulation Theory. Wiley, New York, p.233-236.

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