Cross-ambiguity function domain multipath channel parameter estimation

A new array signal processing technique is proposed to estimate the direction-of-arrivals (DOAs), time delays, Doppler shifts and amplitudes of a known waveform impinging on an array of antennas from several distinct paths. The proposed technique detects the presence of multipath components by integ...

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Published in:Digital signal processing Vol. 22; no. 2; pp. 275 - 287
Main Authors: Guldogan, Mehmet Burak, Arikan, Orhan
Format: Journal Article
Language:English
Published: Elsevier Inc 01.03.2012
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ISSN:1051-2004, 1095-4333, 1095-4333
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Abstract A new array signal processing technique is proposed to estimate the direction-of-arrivals (DOAs), time delays, Doppler shifts and amplitudes of a known waveform impinging on an array of antennas from several distinct paths. The proposed technique detects the presence of multipath components by integrating cross-ambiguity functions (CAF) of array outputs, hence, it is called as the cross-ambiguity function direction finding (CAF-DF). The performance of the CAF-DF technique is compared with the space-alternating generalized expectation–maximization (SAGE) and the multiple signal classification (MUSIC) techniques as well as the Cramér–Rao lower bound. The CAF-DF technique is found to be superior in terms of root-mean-squared-error (rMSE) to the SAGE and MUSIC techniques.
AbstractList A new array signal processing technique is proposed to estimate the direction-of-arrivals (DOAs), time delays, Doppler shifts and amplitudes of a known waveform impinging on an array of antennas from several distinct paths. The proposed technique detects the presence of multipath components by integrating cross-ambiguity functions (CAF) of array outputs, hence, it is called as the cross-ambiguity function direction finding (CAF-DF). The performance of the CAF-DF technique is compared with the space-alternating generalized expectation–maximization (SAGE) and the multiple signal classification (MUSIC) techniques as well as the Cramér–Rao lower bound. The CAF-DF technique is found to be superior in terms of root-mean-squared-error (rMSE) to the SAGE and MUSIC techniques.
A new array signal processing technique is proposed to estimate the direction-of-arrivals (DOAs), time delays, Doppler shifts and amplitudes of a known waveform impinging on an array of antennas from several distinct paths. The proposed technique detects the presence of multipath components by integrating cross-ambiguity functions (CAF) of array outputs, hence, it is called as the cross-ambiguity function direction finding (CAF-DF). The performance of the CAF-DF technique is compared with the space-alternating generalized expectation-maximization (SAGE) and the multiple signal classification (MUSIC) techniques as well as the Cramer-Rao lower bound. The CAF-DF technique is found to be superior in terms of root-mean-squared-error (rMSE) to the SAGE and MUSIC techniques.
Author Arikan, Orhan
Guldogan, Mehmet Burak
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Keywords Direction-of-arrival (DOA)
Cross-ambiguity function (CAF)
Space-alternating generalized expectation–maximization (SAGE) algorithm
Channel estimation
Multipath channels
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Snippet A new array signal processing technique is proposed to estimate the direction-of-arrivals (DOAs), time delays, Doppler shifts and amplitudes of a known...
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SubjectTerms Antennas
Arrays
Channel estimation
Channels
Cross-ambiguity function (CAF)
Direction-of-arrival (DOA)
Doppler effect
Multipath channels
Music
Signal classification
Space-alternating generalized expectation-maximization (SAGE) algorithm
TECHNOLOGY
TEKNIKVETENSKAP
Time delay
Waveforms
Title Cross-ambiguity function domain multipath channel parameter estimation
URI https://dx.doi.org/10.1016/j.dsp.2011.11.002
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Volume 22
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