A Sound Source Identification Algorithm Based on Bayesian Compressive Sensing and Equivalent Source Method
| Autor: | Zan Ming, Zhongming Xu, Zhifei Zhang, Linsen Huang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Beamforming
Microphone array functional beamforming Computer science 02 engineering and technology lcsh:Chemical technology 01 natural sciences Biochemistry Stability (probability) Article Analytical Chemistry 0103 physical sciences 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Electrical and Electronic Engineering Wideband 010301 acoustics Instrumentation Bayesian compressive sensing near-field acoustical holography Dynamic range Acoustic holography Atomic and Molecular Physics and Optics 020201 artificial intelligence & image processing equivalent source method Algorithm Energy (signal processing) |
| Zdroj: | Sensors Volume 20 Issue 3 Sensors, Vol 20, Iss 3, p 865 (2020) Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s20030865 |
| Popis: | Near-field acoustic holography (NAH) based on equivalent source method (ESM) is an effective method for identifying sound sources. Conventional ESM focuses on relatively low frequencies and cannot provide a satisfactory solution at high frequencies. So its improved method called wideband acoustic holography (WBH) has been proposed, which has high reconstruction accuracy at medium-to-high frequencies. However, it is less accurate for coherent sound sources at low frequencies. To improve the reconstruction accuracy of conventional ESM and WBH, a sound source identification algorithm based on Bayesian compressive sensing (BCS) and ESM is proposed. This method uses a hierarchical Laplace sparse prior probability distribution, and adaptively adjusts the regularization parameter, so that the energy is concentrated near the correct equivalent source. Referring to the function beamforming idea, the original algorithm with order v can improve its dynamic range, and then more accurate position information is obtained. Based on the simulation of irregular microphone array, comparisons with conventional ESM and WBH show that the proposed method is more accurate, suitable for a wider range of frequencies, and has better reconstruction performance for coherent sources. By increasing the order v, the coherent sources can be located accurately. Finally, the stability and reliability of the proposed method are verified by experiments. |
| Databáze: | OpenAIRE |
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