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  5. Phase-Difference Ambiguity Resolution for a Single-Frequency Signal in the Near-Field Using a Receiver Triplet
 
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Phase-Difference Ambiguity Resolution for a Single-Frequency Signal in the Near-Field Using a Receiver Triplet

Author(s)
Ballal, Tarig  
Bleakley, Chris J.  
Uri
http://hdl.handle.net/10197/7061
Date Issued
2010-11
Date Available
2015-09-17T15:37:35Z
Abstract
The problem of ambiguity in the phase-difference of a signal received by widely-spaced receivers is considered. It is shown that a collinear receiver triplet with a specific configuration combined with a proposed algorithm can be utilized for phase-difference disambiguation. The identifiability condition is that the difference of the two smaller inter-receiver spacings is not greater than a half-wavelength of the impinging signal and is greater than zero. The effect of the emitter location relative to the receiver array and the effect of noise are studied. Analytic formulae for the MSE (mean squared error) under Gaussian white noise are obtained and are used to directly determine performance versus SNR (signal-to-noise ratio) given the emitter location and the receiver configuration. Performance is found to exhibit an SNR threshold effect that depends on the emitter location and the sensor configuration. The analytic performance predictions are found to be close to the performance obtained in simulation.
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Transactions on Signal Processing
Volume
58
Issue
11
Start Page
5920
End Page
5926
Copyright (Published Version)
2010 IEEE
Subjects

Direction-of-arrival

DOA

Phase-difference ambi...

TDOA

Time-delay estimation...

DOI
10.1109/TSP.2010.2062180
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Phase-Difference_Ambiguity_Resolution_for_a_Single-Frequency_Signal.pdf

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238.49 KB

Format

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Checksum (MD5)

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Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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