基于检测前跟踪的声源跟踪算法

戴江安; 邱天爽

doi:10.11959/j.issn.1000-436x.2017029

您当前的位置：

首页 >

文章列表页 >

基于检测前跟踪的声源跟踪算法

学术论文 | 更新时间：2024-06-05

- 基于检测前跟踪的声源跟踪算法
- Acoustic source tracking algorithm using track before detect
- 通信学报 2017年38卷第2期页码：67-73
- 作者机构：
  
  大连理工大学电子信息与电气工程学部，辽宁大连 116024
- 作者简介：
  
  [ "戴江安（1991-），男，江西抚州人，大连理工大学博士生，主要研究方向为语音信号处理、雷达信号处理和无线电信号处理。" ]
  [ "邱天爽（1954-），男，江苏海门人，博士，大连理工大学教授、博士生导师，主要研究方向为统计信号处理、射频与通信信号处理等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(81241059;61172108);国家科技支撑计划基金资助项目(2012BAJ18B06)
- DOI：10.11959/j.issn.1000-436x.2017029
  中图分类号： TN912
- 网络出版日期：2017-02，
  
  纸质出版日期：2017-02-25
- 稿件说明：
移动端阅览
戴江安, 邱天爽. 基于检测前跟踪的声源跟踪算法[J]. 通信学报, 2017,38(2):67-73.

Jiang-an DAI, Tian-shuang QIU. Acoustic source tracking algorithm using track before detect[J]. Journal on communications, 2017, 38(2): 67-73.
戴江安, 邱天爽. 基于检测前跟踪的声源跟踪算法[J]. 通信学报, 2017,38(2):67-73. DOI： 10.11959/j.issn.1000-436x.2017029.

Jiang-an DAI, Tian-shuang QIU. Acoustic source tracking algorithm using track before detect[J]. Journal on communications, 2017, 38(2): 67-73. DOI： 10.11959/j.issn.1000-436x.2017029.

摘要

针对低信噪比、强混响环境中声源跟踪误差较大的问题，提出一种基于检测前跟踪的声源跟踪算法。该算法将一种改进的可控响应功率函数作为定位函数，通过计算粒子所在矩形区域的可控响应功率值，改进的可控响应功率函数可以得到更加顽健的声源位置估计；同时，将检测前跟踪技术应用于跟踪算法中，可以免于重复计算处于同一区域的量测值，从而在保证跟踪精度的前提下大幅减少跟踪算法的运算量。经仿真实验验证，改进算法在低信噪比、强混响的环境中能够得到比传统跟踪算法更精确的跟踪结果。

Abstract

In order to improve tracking performance in a noisy and reverberant environment

an acoustic source tracking algorithm using track before detect was proposed.This algorithm used a modified steered response power as localization function which take into account a rectangular region to achieve more robust source location estimation than steered response power function and applied track-before-detect technology to avoid reduplicate calculation of the same rectangular region so that the algorithm could reduce the computation burden without decreasing the accuracy.The simulation results verified that the proposed algorithm can achieve more accurate tracking results than traditional tracking algorithm in a noisy and reverberant environment.

关键词

Keywords

references

BILL K , JENKIN M R M , EVANGELOS M . Audio-visual localization of multiple speakers in a video teleconferencing setting [J ] . International Journal of Imaging Systems and Technology , 2003 , 13 ( 1 ): 95 - 105 .

BILLMARKOVIĆ I , PETROVIĆ I . Speaker localization and tracking with a microphone array on a mobile robot using von Mises distribution and particle filtering [J ] . Robotics and Autonomous Systems , 2010 , 58 ( 11 ): 1185 - 1196 .

杨轶星 , 刘永敬 , 焦学军 , 等 . 智能家居系统中人体定位技术研究进展 [J ] . 中国生物医学工程学报 , 2013 , 32 ( 6 ): 716 - 722 .

YNAG Y X , LIU Y J , JIAO X J , et al . Research progress on human bocly localization in smart home system [J ] . Chinese Journal of Biomedical Engineering , 2013 , 32 ( 6 ): 716 - 722 .

WARD D B , LEHMANN E A , WILLIAMSON R C . Particle filtering algorithms for tracking an acoustic source in a reverberant environment [J ] . IEEE Transactions on Speech and Audio Processing , 2003 , 11 ( 6 ): 826 - 836 .

LEHMANN E A , JOHANSSON A M . Particle filter with integrated voice activity detection for acoustic source tracking [J ] . EURASIP Journal on Advances in Signal Processing , 2007 , 2007 ( 1 ): 1 - 11 .

FALLON M F , GODSILL S . Acoustic source localization and tracking using track before detect [J ] . IEEE Transactions on Audio Speech and Language Processing , 2010 , 18 ( 6 ): 1228 - 1242 .

ZHONG X , HOPGOOD J R . Particle filtering for TDOA based acoustic source tracking:nonconcurrent multiple talkers [J ] . Signal Processing , 2014 , 96 ( 5 ): 382 - 394 .

SCHWARTZ O , GANNOT S . Speaker tracking using recursive EM algorithms [J ] . IEEE/ACM Transactions on Audio Speech ＆ Language Processing , 2014 , 22 ( 2 ): 392 - 402 .

ZHONG X , HOPGOOD J R . A time frequency masking based random finite set particle filtering method for multiple acoustic source detection and tracking [J ] . IEEE/ACM Transactions on Audio Speech ＆Language Processing , 2015 , 23 ( 12 ): 2356 - 2370 .

ZHONG X , PREMKUMAR A B , MADHUKUMAR A S . Particle filtering for acoustic source tracking in impulsive noise with al-pha-stable process [J ] . IEEE Sensors Journal , 2013 , 13 ( 2 ): 589 - 600 .

ZHANG Q L , CHEN Z , YIN F L . Global coherence field and distributed particle filter-based speaker tracking in distributed microphone networks [J ] . Journal of Computational Acoustics , 2015 , 23 ( 3 ).

TIAN Y , CHEN Z , YIN F . Distributed IMM-unscented Kalman filter for speaker tracking in microphone array networks [J ] . IEEE/ACM Transactions on Audio Speech ＆ Language Processing , 2015 , 23 ( 10 ): 1637 - 1647 .

COBOS M , MARTI A , LOPEZ J J . A modified SRP-PHAT functional for robust real-time sound source localization with scalable spatial sampling [J ] . IEEE Signal Processing Letters , 2011 , 18 ( 1 ): 71 - 74 .

SALMOND D J , BIRCH H . A particle filter for track-before-detect [C ] // Proceedings of the American Control Conference , 2001 , 5 : 3755 - 3760 .

LEHMANN E A , JOHANSSON A M . Prediction of energy decay in room impulse responses simulated with an image-source model [J ] . Journal of the Acoustical Society of America , 2008 , 123 ( 11 ): 4654 - 4666 .

浏览量

542

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

结合粒子滤波及度量学习的目标跟踪方法

改进的SMC-CBMeMBer前向后向平滑检测前跟踪算法

基于粒子群优化和M-H抽样粒子滤波的传感器网络目标跟踪方法