采用球谐分解的二范数广义逆波束形成

基于传声器阵列的声成像技术是解决噪声源识别的有效途径之一。该文提出了一种基于球谐分解的L2范数广义逆波束形成算法,并对此算法在分布式球形阵列布放方案下进行了定位精度及鲁棒性的对比分析研究。仿真结果显示,此算法对低频相干声源具有较高的空间定位精确度,且阵元位置误差对此算法性能的影响有限。通过在半消声室进行实验进一步证明了此算法的可行性。

Two-norm generalized inverse beamforming using spherical harmonic decomposition

Acoustic imaging based on microphone array is one of the effective ways to solve the problem of noise source identification. In this paper, a two norm generalized inverse beamforming algorithm based on spherical harmonic decomposition is proposed. The positioning accuracy and robustness of this algorithm are compared and studied under distributed spherical array placement scheme. Simulation results show that this algorithm has a high spatial positioning accuracy for low frequency coherent sound sources, and the array position error has a limited impact on the performance of this algorithm. Further experiments in semi-elimination laboratory prove the feasibility of the algorithm.