NDLI: Two compressive sensing-based estimation schemes designed for rapidly time-varying channels in orthogonal frequency division multiplexing systems

Content Provider	IET Digital Library
Author	Liu, Yi Mei, Wenbo Du, Huiqian
Abstract	The problem of estimating rapidly time-varying channels is considered to be one of the key challenges in high mobility orthogonal frequency division multiplexing (OFDM) systems. In such scenarios, fast time variation within OFDM symbol duration requires overloaded measurements for estimation. By exploiting the inherent sparsity of wireless channels, the authors cast the channel estimation as a compressive sensing (CS) problem to reduce the required pilot symbols. Different from the existing CS-based estimators which mainly focus on the diagonal matrix model and treat the inter-carrier interference as additive noise, the proposed methods are designed for the non-diagonal matrix, a more precise representation of fast fading channels. To handle this more complex channel model, an iterative estimation scheme is presented, which adopts the recently introduced modified-CS algorithm. In addition, a more simplified scheme is also designed by utilising a reasonable approximation of the system model. Compared to the former method, it has a reduced computational complexity with limited performance degradation. The simulation results demonstrate that the two proposed CS-based methods are robust to large Doppler spreading and have better performance than conventional CS-based estimators for fast time-varying channels in OFDM systems.
Starting Page	291
Ending Page	299
Page Count	9
ISSN	17519675
Volume Number	8
e-ISSN	17519683
Issue Number	Issue 3, May (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/8/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2013.0352
Journal	IET Signal Processing
Publisher Date	2014-04-23
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Additive Noise Channel Estimation Code Complex Channel Model Compressed Sensing Compressive Sensing-based Estimation Scheme Computational Complexity Diagonal Matrix Model Electromagnetic Compatibility Fast Fading Channel Intercarrier Interference Interference Interpolation And Function Approximation Iterative Estimation Scheme Iterative Method Large Doppler Spreading Nondiagonal Matrix Numerical Analysis OFDM Modulation OFDM Symbol Orthogonal Frequency Division Multiplexing System Radio Link And Equipment Time-varying Channel Wireless Channel
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

Compressed sensing-based time-varying channel estimation in UWA-OFDM networks

Adaptive compressive sensing based channel estimation for TDS-OFDM systems

Pilot-assisted time-varying OFDM channel estimation based on multiple OFDM symbols (2006)

Compressive Estimation of Doubly Selective Channels in Multicarrier Systems: Leakage Effects and Sparsity-Enhancing Processing

Energy-efficient orthogonal frequency division multiplexing scheme based on time–frequency joint channel estimation

Polynomial Estimation of Time-Varying Multipath Gains With Intercarrier Interference Mitigation in OFDM Systems

Blind adaptive scheme for joint frequency offset and channel estimation in OFDM systems

Pilot-assisted time-varying OFDM channel estimation based on multiple OFDM symbols (2006)

Iterative intercarrier interference reduction for mobile OFDM systems

Two compressive sensing-based estimation schemes designed for rapidly time-varying channels in orthogonal frequency division multiplexing systems

Similar Documents

Compressed sensing-based time-varying channel estimation in UWA-OFDM networks

Adaptive compressive sensing based channel estimation for TDS-OFDM systems

Pilot-assisted time-varying OFDM channel estimation based on multiple OFDM symbols (2006)

Compressive Estimation of Doubly Selective Channels in Multicarrier Systems: Leakage Effects and Sparsity-Enhancing Processing

Energy-efficient orthogonal frequency division multiplexing scheme based on time–frequency joint channel estimation

Polynomial Estimation of Time-Varying Multipath Gains With Intercarrier Interference Mitigation in OFDM Systems

Blind adaptive scheme for joint frequency offset and channel estimation in OFDM systems

Pilot-assisted time-varying OFDM channel estimation based on multiple OFDM symbols (2006)

Iterative intercarrier interference reduction for mobile OFDM systems

Two compressive sensing-based estimation schemes designed for rapidly time-varying channels in orthogonal frequency division multiplexing systems