Zhu Ming

Senior Experimental Engineer  

Gender:Male

Alma Mater:大连理工大学

Degree:Doctoral Degree

School/Department:软件学院、国际信息与软件学院

Discipline:Computer Applied Technology. Communication and Information Systems

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Paper Publications

Acoustic Source Localization with Distributed Smartphone Arrays

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Date:2019-03-11

Indexed by:Conference Paper

Date of Publication:2015-12-06

Included Journals:Scopus、CPCI-S、EI

Key Words:Acoustic Source Localization; Smartphone Array; Hamming Distance

Abstract:Acoustic source localization in sensor network is a challenging task because of severe constraints on cost, energy, and effective range of sensor devices. To overcome limitations in existing solutions, this paper formally describes, designs, implements, and evaluates a Hamming Distance-based Method for Acoustic Source Localization, i.e., HammingLoc, in distributed smartphone networks. The key idea behind HammingLoc is to turn the localization problem into search problem in Hamming space. Time Differences of Arrival (TDOAs) of signals pertaining the same smartphone are estimated through the simple Generalized Cross-Correlation method. After the quantization with a bit for the TDOA measurement from the smartphone nodes, source localization is performed by minimizing the Hamming distance between the measured binary sequence and the binary vectors in a database. The proposed design is evaluated through theoretical analysis, extensive simulations, and physical experiments (an indoor test-bed with 30 smartphone nodes). Evaluation results demonstrate that HammingLoc can effectively localize the acoustic source with good robustness.