Electronic Science and Technology ›› 2023, Vol. 36 ›› Issue (7): 24-31.doi: 10.16180/j.cnki.issn1007-7820.2023.07.004

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Optimization Method of Planar Microphone Array Configuration Based on Genetic Algorithm

ZHANG Dagui1,ZHOU Zhifeng1,ZHANG Yi2   

  1. 1. School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science, Shanghai 201620,China
    2. Shanghai Songjiang Xinqiao Vocational and Technical School,Shanghai 201612,China
  • Received:2022-01-12 Online:2023-07-15 Published:2023-06-21
  • Supported by:
    Scientific Research Fund of Science and Technology Commission of Shanghai Municipality(17511106700)

Abstract:

In the sound source localization system, the first problem to be solved is to use a smaller number of microphones and design an array configuration with better performance in a limited plane range. This sutdy proposes an array optimization method based on genetic algorithm to solve the problem. The design of the fitness objective function of the genetic algorithm comprehensively considers the array beam pattern, the width of the main lobe, the level of the side lobe and the number of microphones. By improving the genetic algorithm, the genetic algorithm can be realized in the application of microphone array optimization. The simulation results show that: compared with the traditional cross-shaped and rectangular planar regular arrays, the optimized array configuration can reduce the number of microphones used while ensuring the performance of the array. Compared with the particle swarm optimization algorithm, the array optimized by the improved genetic algorithm has better performance.

Key words: microphone array, genetic algorithm, beam pattern, main lobe, side lobe, main lobe width, sidelobe level, particle swarm algorithm

CLC Number: 

  • TP912