NDLI: Reduced-rank DOA estimation based on joint iterative subspace recursive optimization and grid search

Content Provider	IEEE Xplore Digital Library
Author	Lei Wang de Lamare, R.C. Haardt, M.
Copyright Year	2010
Description	Author affiliation: Ilmenau University of Technology, Communications Research Laboratory, Germany (Haardt, M.) \|\| Communications Research Group, University of York, United Kingdom (Lei Wang; de Lamare, R.C.)
Abstract	In this paper, we propose a reduced-rank direction of arrival (DOA) estimation algorithm based on joint and iterative subspace optimization (JISO) with grid search . The reduced-rank scheme includes a rank reduction matrix and an auxiliary reduced-rank parameter vector. They are jointly and iteratively optimized with a recursive least squares algorithm (RLS) to calculate the output power spectrum. The proposed JISO-RLS DOA estimation algorithm provides an efficient way to iteratively estimate the rank reduction matrix and the auxiliary reduced-rank vector. It is suitable for DOA estimation with large arrays and can be extended to arbitrary array geometries. It exhibits an advantage over MUSIC and ESPRIT when many sources exist in the system. A spatial smoothing (SS) technique is employed for dealing with highly correlated sources. Simulation results show that the JISO-RLS has a better performance than existing Capon and subspace-based DOA estimation methods.
Starting Page	2626
Ending Page	2629
File Size	150659
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5496256
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Direction of arrival estimation Recursive estimation Iterative algorithms Sensor arrays Power generation Signal resolution Resonance light scattering Multiple signal classification Smoothing methods Maximum likelihood estimation rank reduction DOA estimation array processing joint optimization
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

A new approach to reduced-rank DOA estimation based on joint iterative subspace optimization and grid search

REDUCED-RANK DOA ESTIMATION BASED ON JOINT ITERATIVE SUBSPACE OPTIMIZATION AND GRID SEARCH

Gridless postprocessing for sparse signal reconstruction based DOA estimation

New algorithm requiring no preprocessing for wideband DOA estimation

A Novel Subspace Coherent Signal Processing Algorithm For High-Resolution DOA Estimation

DOA estimation and array registration with joint sparse reconstruction methods

Computationally efficient DOA estimation in a multipath environment using covariance differencing and iterative spatial smoothing

DOA estimation in a multipath environment using covariance differencing and iterative Forward and Backward spatial smoothing

Signal waveform estimation in sensor array processing

Reduced-rank DOA estimation based on joint iterative subspace recursive optimization and grid search

Similar Documents

A new approach to reduced-rank DOA estimation based on joint iterative subspace optimization and grid search

REDUCED-RANK DOA ESTIMATION BASED ON JOINT ITERATIVE SUBSPACE OPTIMIZATION AND GRID SEARCH

Gridless postprocessing for sparse signal reconstruction based DOA estimation

New algorithm requiring no preprocessing for wideband DOA estimation

A Novel Subspace Coherent Signal Processing Algorithm For High-Resolution DOA Estimation

DOA estimation and array registration with joint sparse reconstruction methods

Computationally efficient DOA estimation in a multipath environment using covariance differencing and iterative spatial smoothing

DOA estimation in a multipath environment using covariance differencing and iterative Forward and Backward spatial smoothing

Signal waveform estimation in sensor array processing

Reduced-rank DOA estimation based on joint iterative subspace recursive optimization and grid search