NDLI: High-resolution time delay estimation via sparse parameter estimation methods

Content Provider	IET Digital Library
Author	Park, Hyung Rae Li, Jian
Abstract	This study addresses the high-resolution time delay estimation (TDE) via sparse parameter estimation methods. Two representative algorithms, Sparse Asymptotic Minimum Variance (SAMV) and SParse Iterative Covariance-based Estimation are devised in both the time and frequency domains for application to the TDE of spread-spectrum signals and their performances are analysed in various multipath environments. The authors also proposes the combined approach of SAMV and weighted RELAX, referred to as SAMV-WRELAX, to reduce the computational load. Numerical examples demonstrate that the frequency-domain approaches with a proper type of snapshots not only outperform the corresponding time-domain approaches but also mitigate the problem of the noise correlation encountered in time-domain processing. They also show that the computational load of SAMV-WRELAX with a grid size of 0.1 T c decreases up to a few tenths of that of SAMV with a fine grid, e.g. a size of 0.01 T c , without any performance degradations.
Starting Page	97
Ending Page	105
Page Count	9
ISSN	17519675
Volume Number	14
e-ISSN	17519683
Issue Number	Issue 2, Apr (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/14/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2019.0291
Journal	IET Signal Processing
Publisher Date	2019-11-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Corresponding Time-domain Approach Covariance Analysis Covariance Matrices Delay Estimation Frequency Domain Frequency Domain Analysis Frequency-domain Approach High-resolution Time Delay Estimation Interpolation And Function Approximation Iterative Method Numerical Analysis Parameter Estimation SAMV-WRELAX Signal Processing And Detection Signal Processing Theory Signal Sampling Sparse Asymptotic Minimum Variance SParse Iterative Covariance-based Estimation Sparse Parameter Estimation Method Spread Spectrum Communication Statistics TDE Time Domain Analysis Time-domain Processing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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

Robust direction-of-arrival estimation based on sparse asymptotic minimum variance

Sparse covariance-based high resolution time delay estimation for spread spectrum signals

Iterative Sparse Asymptotic Minimum Variance Based Approaches for Array Processing

Continuous basis compressive time-delay estimation in overlapped echoes

Efficient sparse parameter estimation based methods for two-dimensional DOA estimation of coherent signals

Time-domain approach for LFM signal parameter estimation based on FPGA

Sinusoidal frequency estimation by multiple signal classification in frequency domain beam-space

Parameter estimation algorithms for Hammerstein time-delay systems based on the orthogonal matching pursuit scheme

A Unified Approach for Time-Delay Estimators in Spread Spectrum Communications

High-resolution time delay estimation via sparse parameter estimation methods

Similar Documents

Robust direction-of-arrival estimation based on sparse asymptotic minimum variance

Sparse covariance-based high resolution time delay estimation for spread spectrum signals

Iterative Sparse Asymptotic Minimum Variance Based Approaches for Array Processing

Continuous basis compressive time-delay estimation in overlapped echoes

Efficient sparse parameter estimation based methods for two-dimensional DOA estimation of coherent signals

Time-domain approach for LFM signal parameter estimation based on FPGA

Sinusoidal frequency estimation by multiple signal classification in frequency domain beam-space

Parameter estimation algorithms for Hammerstein time-delay systems based on the orthogonal matching pursuit scheme

A Unified Approach for Time-Delay Estimators in Spread Spectrum Communications

High-resolution time delay estimation via sparse parameter estimation methods