Full metadata record
DC FieldValueLanguage
dc.contributorMulti-disciplinary Studiesen_US
dc.contributorDepartment of Electronic and Information Engineeringen_US
dc.creatorTsui, Po-kwok-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/1981-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleSource location using crosspower spectrum phase in small roomen_US
dcterms.abstractThis paper aims to present a method for acoustic source location and analysis the performance of the proposed method. Acoustic source location can be divided into two parts: measurement of time delay of arrival (TDOA) and source location algorithm based on TDOA. Time delay of arrival was measured by Crosspower Spectrum Phase (CSP) which is based on the power of cross correlation of signals recorded by two microphones. Source location algorithm is a method to calculate the exact position of the source. It is based on cosine rule and requires two TDOAs among microphones. Simulation will be carried to verify the algorithms. Image Method will be used to calculate the impulse response of microphones in a small room. Sound sources for simulation are recorded from Internet Broadcasting in Hong Kong. Different source type will be used for simulation including male voice, female voice, beep sound and synthesis signal contains different frequency and amplitude of sine waves. Furthermore, performances of the algorithm are evaluated through lot of simulations of different value of signal-to-noise ratio (SNR) and wall reflection coefficient (Beta). Result shows that the proposed algorithm gives better result of human voice than beep sound and composite signal due to rich frequency content of human voice. In a quiet and low reflection environment, the lowest location error is 0.06 meter. Location error increase significantly when wall reflection ratio larger than 0.5 or signal-to-noise is under 20 dB. The proposed algorithm of Crosspower Spectrum Phase for acoustic source location gives a good estimation of source position in quiet and low reflection environment. Even in noisy and reverberant environment, it also gives not bad estimation with reasonable location error.en_US
dcterms.extentvii, 73 leaves : ill. ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2000en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHSignal processingen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

Files in This Item:
File Description SizeFormat 
b15249566.pdfFor All Users (off-campus access for PolyU Staff & Students only)2.44 MBAdobe PDFView/Open


Copyright Undertaking

As a bona fide Library user, I declare that:

  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.

By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

Show simple item record

Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/1981