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A Probability-Based Acoustic Source Localization Scheme Using Dual-Microphone Smartphones

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Indexed by:会议论文

Date of Publication:2015-06-08

Included Journals:EI、CPCI-S、Scopus

Volume:2015-September

Page Number:6621-6626

Key Words:Acoustic Source Localization; Binary Information; Probability

Abstract:This paper proposes a new acoustic source localization scheme, called Probabilistic Cutting Method (PCM), with randomly deployed smartphones which equipped with known location and direction dual-microphones. Instead of using the value of TDOA (Time Difference Of Arrival), we just use binary information (0/1) and probability to convert the localization problem into plane cutting issues. We can easily come up with the Basic Cutting Method (BCM), but it may appear empty set when error (location error, angle error or error anchors) occurs. PCM can effectively avoid the problem along with lower positioning error. When comparing PCM with TDOA and BCM in different aspects, simulation evaluation results indicate that PCM algorithm achieves highly robustness and accuracy.

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