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Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array.

Kan Y, Wang P, Zha F, Li M, Gao W, Song B - Sensors (Basel) (2015)

Bottom Line: On the one hand, simulation results show that absolute errors of the source locations based on the US-GCC method with an interpolation factor of 15 are approximately from 1/15- to 1/12-times those based on the GCC method, when the initial same sampling rates of both methods are 8 kHz.On the other hand, a simple and small portable passive acoustic source localization platform composed of a five-element cross microphone array has been designed and set up in this paper.The experiments on the established platform, which accurately locates a three-dimensional (3D) near-field target at a low sampling rate demonstrate that the proposed method is workable.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China. kyh_7372@163.com.

ABSTRACT
Accurate acoustic source localization at a low sampling rate (less than 10 kHz) is still a challenging problem for small portable systems, especially for a multitasking micro-embedded system. A modification of the generalized cross-correlation (GCC) method with the up-sampling (US) theory is proposed and defined as the US-GCC method, which can improve the accuracy of the time delay of arrival (TDOA) and source location at a low sampling rate. In this work, through the US operation, an input signal with a certain sampling rate can be converted into another signal with a higher frequency. Furthermore, the optimal interpolation factor for the US operation is derived according to localization computation time and the standard deviation (SD) of target location estimations. On the one hand, simulation results show that absolute errors of the source locations based on the US-GCC method with an interpolation factor of 15 are approximately from 1/15- to 1/12-times those based on the GCC method, when the initial same sampling rates of both methods are 8 kHz. On the other hand, a simple and small portable passive acoustic source localization platform composed of a five-element cross microphone array has been designed and set up in this paper. The experiments on the established platform, which accurately locates a three-dimensional (3D) near-field target at a low sampling rate demonstrate that the proposed method is workable.

No MeSH data available.


Diagram of the locations of a single speech signal for localization simulations.
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f4-sensors-15-13326: Diagram of the locations of a single speech signal for localization simulations.

Mentions: Source location (as shown in Figure 4): a single speech signal recorded by the computer in a quiet environment that can be played back through a speaker. The final signal is sampled via the sampling rate of 8 kHz and assuming that it is collected by a five-element cross microphone array (see Figure 6 for its localization model). Localization simulations are repeated for five different source positions, these are: S1(0.5 m, 0.6 m, 0.7 m), S2(1.5 m, 1.6 m, 1.7 m), S3(1 m, 2 m, 3 m), S4(2.1 m, 2.2 m, 2.3 m), and S5(3 m, 3.1 m, 3.2 m).


Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array.

Kan Y, Wang P, Zha F, Li M, Gao W, Song B - Sensors (Basel) (2015)

Diagram of the locations of a single speech signal for localization simulations.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507621&req=5

f4-sensors-15-13326: Diagram of the locations of a single speech signal for localization simulations.
Mentions: Source location (as shown in Figure 4): a single speech signal recorded by the computer in a quiet environment that can be played back through a speaker. The final signal is sampled via the sampling rate of 8 kHz and assuming that it is collected by a five-element cross microphone array (see Figure 6 for its localization model). Localization simulations are repeated for five different source positions, these are: S1(0.5 m, 0.6 m, 0.7 m), S2(1.5 m, 1.6 m, 1.7 m), S3(1 m, 2 m, 3 m), S4(2.1 m, 2.2 m, 2.3 m), and S5(3 m, 3.1 m, 3.2 m).

Bottom Line: On the one hand, simulation results show that absolute errors of the source locations based on the US-GCC method with an interpolation factor of 15 are approximately from 1/15- to 1/12-times those based on the GCC method, when the initial same sampling rates of both methods are 8 kHz.On the other hand, a simple and small portable passive acoustic source localization platform composed of a five-element cross microphone array has been designed and set up in this paper.The experiments on the established platform, which accurately locates a three-dimensional (3D) near-field target at a low sampling rate demonstrate that the proposed method is workable.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China. kyh_7372@163.com.

ABSTRACT
Accurate acoustic source localization at a low sampling rate (less than 10 kHz) is still a challenging problem for small portable systems, especially for a multitasking micro-embedded system. A modification of the generalized cross-correlation (GCC) method with the up-sampling (US) theory is proposed and defined as the US-GCC method, which can improve the accuracy of the time delay of arrival (TDOA) and source location at a low sampling rate. In this work, through the US operation, an input signal with a certain sampling rate can be converted into another signal with a higher frequency. Furthermore, the optimal interpolation factor for the US operation is derived according to localization computation time and the standard deviation (SD) of target location estimations. On the one hand, simulation results show that absolute errors of the source locations based on the US-GCC method with an interpolation factor of 15 are approximately from 1/15- to 1/12-times those based on the GCC method, when the initial same sampling rates of both methods are 8 kHz. On the other hand, a simple and small portable passive acoustic source localization platform composed of a five-element cross microphone array has been designed and set up in this paper. The experiments on the established platform, which accurately locates a three-dimensional (3D) near-field target at a low sampling rate demonstrate that the proposed method is workable.

No MeSH data available.