个人信息Personal Information
性别:男
毕业院校:大连理工大学
学位:硕士
所在单位:软件学院、国际信息与软件学院
学科:计算机应用技术. 通信与信息系统
联系方式:0411-62274436
电子邮箱:zhuming@dlut.edu.cn
Acoustic Source Localization with Distributed Smartphone Arrays
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论文类型:会议论文
发表时间:2015-12-06
收录刊物:EI、CPCI-S、Scopus
关键字:Acoustic Source Localization; Smartphone Array; Hamming Distance
摘要: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.