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篇名 |
Efficient Implementation of GMDA-based DOA Technique Using Pre-training Phase Unwrapping for Source Localization
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並列篇名 | Efficient Implementation of GMDA-based DOA Technique Using Pre-training Phase Unwrapping for Source Localization |
作者 | Sang-Ick Kang、Seongbin Kim、Sangmin Lee |
英文摘要 | In this paper, a novel technique that improves the performance of generalized mixture decomposition algorithm (GMDA) based on pre-training phase unwrapping. From the investigation of the GMDA scheme, it was discovered that the conventional GMDA technique cannot fully consider phase unwrapping, because the estimated inter-channel phase difference (IPD) slope is initialized randomly. To avoid this phenomenon, the proposed GMDA approach initialized the IPD slope from the data of low-frequency bins. Experimental results show that comparing to the conventional GMDA technique, the proposed GMDA technique based on pre-training phase unwrapping obtains a lower estimation error. When integrated into a source localization system, the result of source localization is improved. |
起訖頁 | 841-847 |
關鍵詞 | Source localization、Inter-channel phase difference、Generalized mixture decomposition algorithm、Pre-training |
刊名 | 網際網路技術學刊 |
期數 | 202005 (21:3期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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