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| DOA estimation of a gas leakage sound source based on analog signals’ time-domain compression sensing |
| WEI Juan1, ZHENG Liuqing1, ZHENG Haonan1, WANG Wenjing1, NING Fangli2,3 |
1.School of Communication Engineering,Xidian University, Xi’an 710071, China;
2.School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China;
3.Dongguan Sanhang Civil-military Integration Innovation Institute， Dongguan 523808, China |
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Abstract Aiming atproblems ofshortage of analog signal compression sampling in existing compression sensing algorithmsand large amount of memory and calculation of traditional measurement matrices, a direction of arrival (DOA) estimation algorithm based on analog signals’time-domain compression was proposed and applied to study DOA estimation of a gas leakage sound source.Firstly, a DOA estimation model of a gas leakage sound source was established.Then a direct non-uniform random under-sampling scheme was designed and the corresponding equivalent measurement matrix with a simple formwas constructed to realize the direct compression sampling of analog sound source signals, and avoidlarge amount of data and high computational complexity of traditional measurement matrix.Finally, the subspace tracking algorithm was adopted to reconstruct acoustic signals, and realize faster calculation speed and higher reconstruction accuracy.Theoretical analysis and tests showed that the proposed algorithm can successfully realizethe DOA estimation of a gas leakage sound source; it can significantly reduce sampling rate and computational complexity, and realize higher estimation precision and resolution, so it has a better estimation performance.
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Received: 16 January 2018
Published: 28 August 2019
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