NDLI: Robust and reduced-rank matrix Wiener filter based on the conjugate gradient algorithm

Content Provider	IEEE Xplore Digital Library
Author	Dietl, G. Botsch, M. Dietrich, F.A. Utschick, W.
Copyright Year	2005
Description	Author affiliation: Inst. for Circuit Theor. & Signal Process., Munich Univ. of Technol., Germany (Dietl, G.; Botsch, M.; Dietrich, F.A.; Utschick, W.)
Abstract	In this paper, we consider the block conjugate gradient (BCG) algorithm as a robust and reduced-rank implementation of the matrix Wiener filter (MWF). Stopping the BCG iterations before the algorithm converges, reduces the computational complexity as well as the performance loss due to channel estimation errors which is especially a problem in low sample support scenarios. We investigate the inherent robustness of the BCG method by deriving the corresponding filter factor matrix which is a well-known tool in the theory of ill-posed problems to describe and analyze regularizing effects. Moreover, we present a robust BCG algorithm where we applied the regularization method of diagonal loading in order to increase both robustness against estimation errors and flexibility in choosing the number of BCG iterations without decreasing performance. Finally, we use quasi-optimal loading instead of common heuristic choices. Simulation results of a frequency-selective multi-user single-input multiple-output (MU-SIMO) system show the improved performance of the robust BCG filter compared to the conventional MWF despite of the enormously reduced computational complexity.
Starting Page	555
Ending Page	559
File Size	969802
Page Count	5
File Format	PDF
ISBN	0780388674
DOI	10.1109/SPAWC.2005.1506201
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Wiener filter Signal processing algorithms Equations Estimation error Computational complexity Channel estimation Autocorrelation Circuit theory Performance loss
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

Reduced-rank equalization for EDGE via conjugate gradient implementation of multi-stage nested Wiener filter

On reduced-rank approaches to matrix Wiener filters in MIMO systems

Low-Complexity Equalizers---Rank Versus Order Reduction

Preconditioned and Rank-Flexible Block Conjugate Gradient Implementations of Mimo Wiener Decision Feedback Equalizers

A novel algorithm for computing rank reduced matrix approximations

Block Krylov methods in time-dispersive MIMO systems

Low-complexity robust adaptive beamforming algorithms exploiting shrinkage for mismatch estimation

A low complexity algorithm for DOA estimation based on reduced-rank covariance matrix

Fast and Accurate Rank Selection Methods for Multistage Wiener Filter

Robust and reduced-rank matrix Wiener filter based on the conjugate gradient algorithm

Similar Documents

Reduced-rank equalization for EDGE via conjugate gradient implementation of multi-stage nested Wiener filter

On reduced-rank approaches to matrix Wiener filters in MIMO systems

Low-Complexity Equalizers---Rank Versus Order Reduction

Preconditioned and Rank-Flexible Block Conjugate Gradient Implementations of Mimo Wiener Decision Feedback Equalizers

A novel algorithm for computing rank reduced matrix approximations

Block Krylov methods in time-dispersive MIMO systems

Low-complexity robust adaptive beamforming algorithms exploiting shrinkage for mismatch estimation

A low complexity algorithm for DOA estimation based on reduced-rank covariance matrix

Fast and Accurate Rank Selection Methods for Multistage Wiener Filter

Robust and reduced-rank matrix Wiener filter based on the conjugate gradient algorithm