基于互质位置非同步测量的低频声源成像方法

韦娟; 贺雨涛; 宁方立

doi:10.11959/j.issn.1000-436x.2023166

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基于互质位置非同步测量的低频声源成像方法

学术论文 | 更新时间：2024-06-06

- 基于互质位置非同步测量的低频声源成像方法
- Low frequency acoustic source imaging method based on coprime position non-synchronous measurement
- 通信学报 2023年44卷第9期页码：93-103
- 作者机构：
  
  1. 西安电子科技大学通信工程学院，陕西西安 710071
  2. 西北工业大学机电学院，陕西西安 710072
- 作者简介：
  
  [ "韦娟（1973- ），女，陕西渭南人，博士，西安电子科技大学教授，主要研究方向为声音信号处理、移动通信网络、人工智能等" ]
  [ "贺雨涛（1998- ），男，山西忻州人，西安电子科技大学硕士生，主要研究方向为信号处理、声源定位等" ]
  [ "宁方立（1974- ），男，山东泗水人，博士，西北工业大学教授，主要研究方向为振动噪声控制、智能感知机器人、噪声源定位与识别等" ]
- 基金信息：
  
  国家自然科学基金资助项目(52075441);陕西省重点研发计划基金资助项目(2023-YBGY-219);航空科学基金资助项目(20200015053001);2023西安市重点产业链技术攻关资助项目(23ZDCYJSGG0006-2023)
- DOI：10.11959/j.issn.1000-436x.2023166
  中图分类号： TN912.3
- 网络出版日期：2023-09，
  
  纸质出版日期：2023-09-25
- 稿件说明：
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韦娟, 贺雨涛, 宁方立. 基于互质位置非同步测量的低频声源成像方法[J]. 通信学报, 2023,44(9):93-103.

Juan WEI, Yutao HE, Fangli NING. Low frequency acoustic source imaging method based on coprime position non-synchronous measurement[J]. Journal on communications, 2023, 44(9): 93-103.
韦娟, 贺雨涛, 宁方立. 基于互质位置非同步测量的低频声源成像方法[J]. 通信学报, 2023,44(9):93-103. DOI： 10.11959/j.issn.1000-436x.2023166.

Juan WEI, Yutao HE, Fangli NING. Low frequency acoustic source imaging method based on coprime position non-synchronous measurement[J]. Journal on communications, 2023, 44(9): 93-103. DOI： 10.11959/j.issn.1000-436x.2023166.

摘要

针对声学成像受限于传声器阵列孔径和阵元密度不足，导致在低频、低信噪比条件下声成像分辨率较低的问题，提出一种基于互质位置非同步测量的低频、低信噪比声源高分辨率成像方法。首先，移动原型阵列在互质位置处接收声信号并计算数据缺失的互谱矩阵，然后利用改进的加速近端梯度算法对缺省互谱矩阵进行补全，再对补全后的完整互谱矩阵进行矢量化，最后建立虚拟阵列信号模型并求解。仿真结果表明，在低频、低信噪比条件下，所提方法与以往方法相比，具有更低的定位误差、更高的成像分辨率以及更好的鲁棒性和抗噪性。

Abstract

In order to solve the problem that the acoustic imaging resolution was low under the condition of low frequency and low SNR due to the limited microphone array aperture and element density

a high resolution imaging method of low frequency and low SNR sound source was proposed based on the non-synchronous measurement of the coprime position.Firstly

the acoustic signal was received at the coprime position and the missing cross-spectrum matrix was calculated by the mobile prototype array.Then

the improved accelerated proximity gradient algorithm was used to complete the missing cross-spectrum matrix

and the complete cross-spectrum matrix was vectorized.Finally

the virtual array signal model was established and solved.The simulation results demonstrate that the proposed method has lower positioning error

higher imaging resolution

and better robustness and noise immunity than the previous methods under the condition of low frequency and low SNR.

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references

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