Multiple concurrent sources localization based on a two-node distributed acoustic sensor network

Jiaxin Xu; Zhao Zhao; Chunzeng Chen; Zhiyong Xu

doi:10.1117/12.2266007

23 January 2017 Multiple concurrent sources localization based on a two-node distributed acoustic sensor network

Jiaxin Xu, Zhao Zhao, Chunzeng Chen, Zhiyong Xu

Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103222R (2017) https://doi.org/10.1117/12.2266007
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China

Abstract

In this work, we propose a new approach to localize multiple concurrent sources using a distributed acoustic sensor network. Only two node-arrays are required in this sensor network, and each node-array consists of only two widely spaced sensors. Firstly, direction-of-arrivals (DOAs) of multiple sources are estimated at each node-array by utilizing a new pooled angular spectrum proposed in this paper, which can implement the spatial aliasing suppression effectively. Based on minimum variance distortionless response (MVDR) beamforming and the DOA estimates of the sources, the time-frequency spectra containing the corresponding energy distribution features associated with those sources are reconstructed in each node-array. Then, scale invariant feature transform (SIFT) is employed to solve the DOA association problem. Performance evaluation is conducted with field recordings and experimental results prove the effectivity and feasibility of the proposed method.

Citation Download Citation

Jiaxin Xu, Zhao Zhao, Chunzeng Chen, and Zhiyong Xu "Multiple concurrent sources localization based on a two-node distributed acoustic sensor network", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103222R (23 January 2017); https://doi.org/10.1117/12.2266007

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