Evidence map›Paper›PMID 26057042›Full record

ArticleSensors (Basel, Switzerland)2015

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

Yue Kan, Pengfei Wang, Fusheng Zha, Mantian Li, Wa Gao, Baoyu Song

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yue KanState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China. kyh_7372@163.com.
Pengfei WangState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China. wangpengfei1007@163.com.
Fusheng ZhaState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China. zfsh751228@163.com.
Mantian LiState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China. limt@hit.edu.cn.
Wa GaoState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China. skymoon.hit@gmail.com.
Baoyu SongDepartment of Mechanical Design, Harbin Institute of Technology, Harbin 150001, China. sby@hit.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

five-element cross microphone arraygeneralized cross-correlation (GCC)interpolation factorpassive acoustic source localizationtime delay of arrival (TDOA)up-sampling (US)

Identifiers

PMID26057042
PMCPMC4507621

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