关键词: 声源定位, 压缩感知, 贝叶斯, 传感器阵列

Abstract: The acoustic source localization is a research subject with wide range of applications. To improve the localization accuracy, an acoustic source localization algorithm based on compressed sensing is proposed. By building redundant dictionary, the algorithm sets the location of unknown multiple-source nodes as a coefficient vector, and then uses sparse Bayesian compressed sensing algorithm to estimate acoustic source location. In order to accelerate the speed of algorithm, an efficient construction method for multi-resolution dictionary is presented. The localization accuracy is improved through the reduced localization space by iteration. Theoretical analysis and experimental results conclude that the acoustic source localization algorithm based on compressed sensing improves position ability of multi-source nodes and reduces the amount of sensor nodes needed. In addition, compared with the subspace algorithm, the proposed algorithm has superior performance.

Key words: acoustic source localization, compressed sensing, Bayes, sensor arrays