Sparse planar array optimizing method for energy transducers of phased array sonar system

An optimization method and transducer technology, applied in radio wave measurement systems, instruments, sound wave reradiation, etc., can solve problems such as slow convergence speed

Inactive Publication Date: 2014-03-26
HUAZHONG UNIV OF SCI & TECH +1
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  • Claims
  • Application Information

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Problems solved by technology

[0009] At present, the sparse array optimization of transducers mainly adopts population evolution algorithms such as legacy algorithm and population particle optimization algorithm, which are easy to fall into local optimum

Method used

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  • Sparse planar array optimizing method for energy transducers of phased array sonar system
  • Sparse planar array optimizing method for energy transducers of phased array sonar system
  • Sparse planar array optimizing method for energy transducers of phased array sonar system

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Embodiment

[0124] Taking a 64×64 rectangular transducer array (ie M=N=64) as an example, the transducers are evenly distributed with a half-wavelength (λ / 2) element spacing, and the main beam width is -3dB beam angle width.

[0125] (1) Initialization

[0126] The transducer weight coefficient matrix W (population matrix) is a three-dimensional matrix, including Pz two-dimensional individual matrix W of M×N i , M and N represent the number of transducers in the two axis directions of the sparse array of transducers, and i represents the individual serial number of the class population i=1,2,...Pz.

[0127]When initializing W, activate the transducer with probability p=0.35 and assign a value of 1, deactivate the transducer with probability 0.65 and assign a value of 0, annealing temperature T=5000, class size Pz=10, preset inactivation probability Pi=0.8, Activation probability Pa=0.2, maximum number of iterations maxGen=100.

[0128] The expression of the system energy function is sho...

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Abstract

The invention provides a sparse planar array optimizing method for energy transducers of a phased array sonar system. The method comprises the steps of 1) initialization, 2) simulated annealing optimization, 3) teaching and learning optimization and 4) termination. According to the method, the minimal number of energy transducers, which need to be exited to satisfy the spatial response performance, of the sparse planar array is solved by utilizing spatial response performances including the main-lobe width and the side-lobe peak value of the array. The feasible solution obtained by the simulated annealing optimization can be further optimized via teaching and learning optimization, so that higher convergence speed and precision are provided, the optimal solution of the whole situation can be obtained, as few as energy transducers work, the required spatial response performance of the planar array of the energy transducers is obtained, and the required hardware cost of the phased array imaging sonar system can be effectively reduced.

Description

technical field [0001] The invention belongs to the technical field of phased array imaging sonar beam formation, and in particular relates to a method for optimizing a sparse array of transducers in a phased array sonar system. Background technique [0002] The phased array three-dimensional forward-looking sonar system is an underwater application system developed in recent years. The system uses a single-frequency sound pulse to transmit the entire observation scene, and uses phased array technology to simultaneously generate tens of thousands of real-time beam intensity signals. Real-time signal processing results in an image of a three-dimensional scene. Modern high-resolution phased-array sonar systems require transducer arrays with longer geometric dimensions in order to obtain smaller main beam widths. At the same time, in order to prevent the appearance of grating lobes, the array element spacing (the distance between the transducer and the transducer) should not b...

Claims

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Application Information

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IPC IPC(8): G01S7/527G01S15/89
CPCG01S7/527G01S15/89
Inventor 陈学东何学明罗欣罗再磊朱连利丁基恒赵贺彩赵树培
Owner HUAZHONG UNIV OF SCI & TECH
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