基于检测前跟踪的声源跟踪算法

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

Abstract

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.

Key words: acoustic source tracking, particle filter, steered response power, track before detec

CLC Number:

TN912

Jiang-an DAI,Tian-shuang QIU. Acoustic source tracking algorithm using track before detect[J]. Journal on Communications, 2017, 38(2): 67-73.

Figures/Tables 10

References 15

[1]	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.
[2]	BILLMARKOVI? I , PETROVI? 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.
[3]	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.
[4]	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.
[5]	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.
[6]	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.
[7]	ZHONG X , HOPGOOD J R . Particle filtering for TDOA based acoustic source tracking:nonconcurrent multiple talkers[J]. Signal Processing, 2014,96(5): 382-394.
[8]	SCHWARTZ O , GANNOT S . Speaker tracking using recursive EM algorithms[J]. IEEE/ACM Transactions on Audio Speech ＆ Language Processing, 2014,22(2): 392-402.
[9]	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.
[10]	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.
[11]	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).
[12]	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.
[13]	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.
[14]	SALMOND D J , BIRCH H . A particle filter for track-before-detect[C]// Proceedings of the American Control Conference, 2001,5: 3755-3760.
[15]	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.

Metrics

Recommended 0

No Suggested Reading articles found!

帧号	SRP-PL	MSRP-PL	MSRP-TBD
20	0.039 1	0.031 6	0.044 5
40	0.023 6	0.022 7	0.021 6
60	0.023 7	0.026 3	0.019 5
80	0.032 7	0.028 1	0.026 0
100	0.042 5	0.018 6	0.014 6
120	0.195 7	0.155 4	0.174 9
140	0.168 2	0.163 5	0.146 9

帧号	SRP-PL	MSRP-PL	MSRP-TBD
20	0.145 5	0.102 3	0.092 1
40	0.359 9	0.068 4	0.053 2
60	0.341 0	0.075 8	0.083 3
80	0.171 7	0.089 4	0.098 7
100	0.317 6	0.246 9	0.242 3
120	0.462 1	0.106 1	0.085 3
140	0.573 1	0.303 2	0.277 6

Acoustic source tracking algorithm using track before detect

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 15

Related Articles 14

Metrics

Recommended 0

[1]	Hongyan WANG, Libin ZHANG, Guoqiang CHEN, Zumin WANG, Zhiyuan GUAN. Approach of target tracking combining particle filter and metric learning [J]. Journal on Communications, 2021, 42(5): 98-110.
[2]	Jiazheng PEI,Yong HUANG,Yunlong DONG,Xiaolong CHEN. Improved SMC cardinality-balanced multi-Bernoulli forwardbackward smoothing track-before-detect algorithm [J]. Journal on Communications, 2019, 40(8): 102-113.
[3]	shuang QIUTian,zhe QIYin. Dual-station pseudo-Doppler localization method based on particle filtering with stable distribution noise [J]. Journal on Communications, 2016, 37(1): 28-34.
[4]	. Target tracking algorithm for wireless sensor networks based on particle swarm optimization and metropolis-hasting sampling particle filter [J]. Journal on Communications, 2013, 34(11): 2-17.
[5]	. Particle filter-based multi-path time-varying channel blind equalization in stable noise [J]. Journal on Communications, 2013, 34(11): 11-99.
[6]	Peng JIANG,Hua-hua SONG,Guang LIN. Target tracking algorithm for wireless sensor networks based on particle swarm optimization and metropolis-hasting sampling particle filter [J]. Journal on Communications, 2013, 34(11): 8-17.
[7]	Nan XIA,Tian-shuang QIU,Jing-chun LI. Particle filter-based multi-path time-varying channel blind equalization in stable noise [J]. Journal on Communications, 2013, 34(11): 92-100.
[8]	Nan XIA,Tian-shuang QIU. Improved particle filtering based algorithm for time delay and symbols joint estimation of PSK signals [J]. Journal on Communications, 2012, 33(4): 129-135.
[9]	Hui-bin WANG,Zhe CHEN,Xin WANG,Yu MA. Random finite sets based UPF-CPHD multi-object tracking [J]. Journal on Communications, 2012, 33(12): 147-153.
[10]	Yuan JING,Bin NIU,Ying-ying TAI. Multi-user channel estimation for uplink OFDMA systems based on the random-set theory [J]. Journal on Communications, 2012, 33(1): 89-95.
[11]	Yuan JING,Fu-liang YIN. Wishart random matrix based Bayesian estimation for time-varying channel in the color noise [J]. Journal on Communications, 2009, 30(2): 79-84.
[12]	Yuan JING,Fu-liang YIN,Shuo ZENG. Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel [J]. Journal on Communications, 2007, 28(8): 67-75.
[13]	Nai-gao JIN,Fu-liang YIN,Dong-xia WANG,Zhe CHEN. Subband particle filtering for speech enhancement [J]. Journal on Communications, 2006, 27(4): 23-28.
[14]	Lei WANG,Yu-lin LIU. Novel blind identification and equalization new method based on particle filter [J]. Journal on Communications, 2006, 27(10): 132-135.