[1]赵达达,齐小刚,冯海林.逆模型下的高效声源定位算法研究[J].智能系统学报,2023,18(1):117-123.[doi:10.11992/tis.202106010]
ZHAO Dada,QI Xiaogang,FENG Hailin.Efficient acoustic source localization algorithm based on an inverse model[J].CAAI Transactions on Intelligent Systems,2023,18(1):117-123.[doi:10.11992/tis.202106010]
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ZHAO Dada,QI Xiaogang,FENG Hailin.Efficient acoustic source localization algorithm based on an inverse model[J].CAAI Transactions on Intelligent Systems,2023,18(1):117-123.[doi:10.11992/tis.202106010]
逆模型下的高效声源定位算法研究
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
18
期数:
2023年第1期
页码:
117-123
栏目:
学术论文—人工智能基础
出版日期:
2023-01-05
- Title:
- Efficient acoustic source localization algorithm based on an inverse model
- Keywords:
- conventional beamforming; time domain beamforming; generalized cross correlation; compression computational grid; inverse model; acoustic source localization; microphone array; density-based clustering
- 分类号:
- TP391.9;TN912.3;TN641
- 摘要:
- 与波束形成算法相比，广义互相关逆模型宽带声源定位算法提供了空间的高分辨率，但需要更高的计算量。为了提升广义互相关逆模型算法的计算效率，并尽可能保留其分辨率优势，本文提出了一种高效的声源定位算法。该算法首先去除麦克风阵列输出功率较小的网格点来压缩计算网格，其次，在几何因素条件下利用基于密度的聚类进一步压缩网格，最后仅用保留下的点进行计算，从而大大降低了计算规模。真实数据实验证明，本文所提算法能有效提升广义互相关逆模型算法的计算效率。
- Abstract:
- Compared with the beamforming algorithm, the wideband acoustic source localization based on the generalized crosscorrelation inverse model provides a higher spatial resolution and requires more computation. This paper proposes an acceleration algorithm to improve the computational efficiency of acoustic source localization and retain the existing resolution. By removing the grid points with the low output power of the microphone array, the computational grid is compressed. The geometric factor is also considered, and the density-based clustering algorithm is used to further compress the grid. Finally, only the reserved points are used for the calculation to reduce the calculation scale. Experiments with real data show that the proposed algorithm can improve computational efficiency significantly.
- 参考文献/References:
-
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备注/Memo
收稿日期:2021-06-06。
基金项目:国家自然科学基金项目(61877067);近地面探测技术重点实验室开放基金项目(TCGZ2019A002,TCGZ2021C003);重点实验室稳定支持项目(6142414200511);陕西省自然科学基金基础研究计划项目(2021JZ-19).
作者简介:赵达达,硕士研究生,主要研究方向为信号处理与声源定位;齐小刚,教授,博士生导师,主要研究方向为系统建模和仿真、资源管理和调度、性能评估和优化算法设计网络故障诊断;冯海林,教授,主要研究方向为系统可靠性建模和生存数据分析
通讯作者:齐小刚.E-mail:xgqi@xidian.edu.cn
更新日期/Last Update:
1900-01-01