快速迭代收缩阈值声源识别算法及其改进

A fast iterative shrinkage threshold sound source identification algorithm and its improvement

近场声全息是一种主流的声学成像技术,在技术实践中可以有效实现声源定位。等效源法可用于修正声源不同数值模型的l2范数正则化逆问题和l1范数正则化逆问题。为了提高传统等效源法的分辨力,减少旁瓣"鬼影",提出了一种高阶波束形成改良快速迭代收缩阈值声源识别算法mIFISTESM-v,该方法是在改进的快速迭代收缩/阈值等效源法与高阶波束形成方法相结合的框架下发展得来。通过单声源定位和相干声源定位的分辨力分析的数值模拟以及实验验证了该方法的实用性,结果表明,所提出的方法能较好地达到声源识别及定位的效果,该方法所得主瓣区小于0.002。

The near-field acoustic holography is an acoustic image method, which can be used to localize sound source effectively in technical practice. The equivalent source method can be applied to fix the l2 norm regularized inverse problem and the l1 norm regularized inverse problem for different numerical models of sound sources. To enhance the resolution quality of traditional ESM and narrow the sidelobe, we propose an improved fast iterative shrinkage/thresholding algorithm for sound source identification, which is based on the equivalent source method(mIFISTESM-v). This method is a combined application of the modified improved fast iterative shrinkage thresholding equivalent source method and functional beamforming. Its practicability is evaluated by the numerical simulation of the resolution quality analysis, and the experiments of the single sound source location and the coherent sound source location. Results show that the proposed method can achieve excellent sound source identification and location, and the main lobe area obtained by this method is smaller than 0.002.