NDLI: A linear phase estimation technique for interferometric signals

Content Provider	IEEE Xplore Digital Library
Author	Saucan, A. Sintes, C. Chonavel, T.
Copyright Year	2012
Description	Author affiliation: Institut TELECOM - TELECOM Bretagne, CNRS Lab-STICC UMR 3192, Technopôle Brest Iroise, CS 83818 - 29238 Brest, France (Saucan, A.; Sintes, C.; Chonavel, T.)
Abstract	In this paper we compare the performances of different estimation techniques applied in the case of the interferometric signal. Interferometric techniques have numerous applications, notably in SAR and SAS systems. The goal in interferometric systems is to estimate the instant of zero phase crossing which enables range/depth estimation. Current phase estimation techniques rely on the stationarity of the phase difference of two received signals. In this paper we assume a non-stationary phase difference, more precisely a linear function of time. This linear phase difference coupled with a classical complex Gaussian model is used to infer a statistical model of the received signals. The statistical signal model highlights the interpretation of phase delay estimation as a spectral estimator. More precisely, as the estimation of the angular frequency and initial phase of a single sinusoid. Using the proposed signal model several estimation techniques are tested. In estimating the signal phase two approaches can be considered: working directly with the phase by use of different regression techniques; or utilizing the complex interferometric signal. The first approach has the disadvantage of having to deal with 2kπ ambiguities while the second approach allows the use of different classical spectral estimators like the maximum likelihood (MLE) and AR models. We conclude by a performance analysis of these methods, in the case of the interferometric signal, which will show that depending on the SNR values the optimal estimator will differ. For SNR values grater than 2dB the MLE is shown to provide better performances while for lower SNR values a weighted linear regression technique (WLR) provides better results.
Starting Page	1
Ending Page	7
File Size	876358
Page Count	7
File Format	PDF
ISBN	9781457720895
e-ISBN	9781457720918
DOI	10.1109/OCEANS-Yeosu.2012.6263458
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-21
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Signal to noise ratio Frequency estimation Mathematical model Equations Delay weighted linear regression interferometry spectral analysis maximum likelihood AR models
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in