| 广域低频声定位方法研究 |
| Research on wide-area low-frequency acoustic localization method |
| 投稿时间：2024-12-26 修订日期：2025-01-25 |
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| 中文摘要: |
| 随着阵列信号处理技术的快速发展，声源定位方法被广泛应用于环境监测、军事探测等诸多领域。然而对于广域低频声信号的定位研究目前仍然较少，针对该研究对象，传统方法在公里级尺度下的定位存在一定的局限性。为解决这一问题，本文利用32阵元声阵列开展外场试验，研究了时延最小方差方法与波束形成方法在5km的外场环境下，对同一位置低频声信号的定位能力。试验结果表明，相较于传统的波束形成方法，时延最小方差方法在广域范围的定位精度具有显著优势，定位精度提高了2.1%以上，研究成果拓展了声源定位的距离范围，为低频声源的精确定位提供了可行的方法。 |
| 英文摘要: |
| With the rapid advancement of array signal processing technology, sound source localization methods have been widely applied in various fields, such as environmental monitoring and military detection. However, research on localizing wide-area low-frequency acoustic signals remains relatively limited. For such research targets, traditional methods face certain constraints when applied to kilometer-scale localization scenarios. To address this issue, this study conducted field experiments using a 32-element acoustic array to investigate the localization performance of the Time Delay Minimum Variance (TDMV) method and the Beamforming (BF) method in a 5-kilometer outdoor environment, focusing on low-frequency sound signals from the same source. Experimental results indicate that compared to the traditional beamforming method, the TDMV method exhibits a significant advantage in localization accuracy over wide-area ranges, achieving an improvement of more than 2.1% in precision. These findings extend the effective range of sound source localization and provide a feasible solution for the accurate localization of low-frequency sound sources. |
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| 中文关键词: 声学信号处理 低频声源 定位系统 时延最小方差 定位精度 |
| 英文关键词:Acoustic signal processing low-frequency sound source localization system MVDR localization accuracy |
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