A Sparse Optimization Method for Transducer Array of 3D Imaging Sonar System
A transducer array, sparse optimization technology, applied in the re-radiation of sound waves, radio wave measurement systems, instruments, etc., can solve problems such as large amount of data and difficult large-scale beam calculation
Active Publication Date: 2012-02-01
ZHEJIANG UNIV
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[0002] Beamforming calculation is a commonly used signal processing method in the field of signal processing. It has a wide range of applications in sonar signal processing, radar signal processing, ultrasonic detection and other fields. However, due to the large amount of data to be processed, in practical applications It is often difficult to calculate large-scale beams, and the amount of beamforming calculation is proportional to the number of transducers
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[0041] With reference to the accompanying drawings, the method for sparse optimization of a transducer array of a three-dimensional imaging sonar system of the present invention will be described in detail through specific embodiments.
[0042] A sparse optimization method for the transducer array of a three-dimensional imaging sonar system. The simulated annealing algorithm is used to optimize the sparseness of the transducer array elements in the planar array to obtain the sparse transducer array and obtain the sparsely optimized transducer energy The minimum number of transducers that the sparse transducer array needs to be turned on when the beam pattern of the transducer array satisfies both the threshold condition of the maximum sidelobe peak and the threshold condition of the taper ratio.
[0043] The plane array before sparse optimization is composed of M×N transducers, where M=N=48, P=Q=128, and the transducers are uniformly distributed in a rectangular plane at half-wavele...
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The invention discloses a sparse optimization method for a transducer array of a three-dimensional imaging sonar system. A simulated annealing algorithm is used to perform sparse optimization on the transducer array elements in a plane array to obtain a sparse transducer array. After the beam pattern of the transducer array satisfies the threshold condition of the maximum side lobe peak and the threshold condition of the taper ratio simultaneously, the minimum transducer number that needs to be turned on for the sparse transducer array; the planar array before the sparse optimization is composed of Composed of M×N transducers, the transducers are uniformly distributed in a rectangular plane according to a half-wavelength or a wavelength interval; the taper ratio is the maximum weight coefficient of the transducer and the minimum weight of the transducer The ratio of the coefficients. The present invention uses as few transducer array elements as possible to achieve the system goal, reduces the hardware cost required for building the phased array three-dimensional image sonar system, and reduces the calculation amount of multiplication and accumulation required for the beamforming algorithm.
Description
Technical field [0001] The invention relates to the technical field of phased array three-dimensional imaging sonar, in particular to a sparse optimization method for a transducer array of a three-dimensional imaging sonar system. Background technique [0002] Beamforming calculation is a commonly used signal processing method in the field of signal processing. It has a wide range of applications in sonar signal processing, radar signal processing, ultrasonic detection and other fields. However, due to the large amount of data that needs to be processed, it is used in practical applications. It is often difficult to calculate large-scale beams, and the amount of beamforming calculations is proportional to the number of transducers. [0003] A transducer array of a certain size is necessary for a high-resolution phased array three-dimensional image sonar system: in order to prevent large sidelobes from being generated, a half-wavelength spacing array is a condition that must be met;...
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IPC IPC(8): G01S15/89G01S7/52
Inventor 陈耀武陈朋田翔
Owner ZHEJIANG UNIV