Both the energy efficiency and correlation characteristics are important in airborne sonar systems to realize multichannel ultrasonic transducers working together. High energy efficiency can increase echo energy and measurement range, and sharp autocorrelation and flat cross correlation can help eliminate cross-talk among multichannel transducers. This paper addresses energy efficiency optimization under the premise that cross-talk between different sonar transducers can be avoided. The nondominated sorting genetic algorithm-II is applied to optimize both the spectrum and correlation characteristics of the excitation sequence. The central idea of the spectrum optimization is to distribute most of the energy of the excitation sequence within the frequency band of the sonar transducer; thus, less energy is filtered out by the transducers. Real experiments show that a sonar system consisting of eight-channel Polaroid 600 series electrostatic transducers excited with 2 ms optimized pulse-position-modulation sequences can work together without cross-talk and can measure distances up to 650 cm with maximal 1% relative error.
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December 2009
Research Article|
December 15 2009
Improvement of energy efficiency via spectrum optimization of excitation sequence for multichannel simultaneously triggered airborne sonar system
Qing-Hao Meng;
Qing-Hao Meng
School of Electrical Engineering and Automation,
Tianjin University
, Tianjin 300072, China
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Zhen-Jing Yao;
Zhen-Jing Yao
School of Electrical Engineering and Automation,
Tianjin University
, Tianjin 300072, China
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Han-Yang Peng
Han-Yang Peng
School of Electrical Engineering and Automation,
Tianjin University
, Tianjin 300072, China
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Rev. Sci. Instrum. 80, 124903 (2009)
Article history
Received:
September 30 2009
Accepted:
November 15 2009
Citation
Qing-Hao Meng, Zhen-Jing Yao, Han-Yang Peng; Improvement of energy efficiency via spectrum optimization of excitation sequence for multichannel simultaneously triggered airborne sonar system. Rev. Sci. Instrum. 1 December 2009; 80 (12): 124903. https://doi.org/10.1063/1.3272078
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