NDLI: Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems

Content Provider	IEEE Xplore Digital Library
Author	Mohammadi, M.A. Ardabilipour, M. Moussakhani, B. Mobini, Z.
Copyright Year	2008
Description	Author affiliation: Khajeh Nasir Univ. of Technol. (K.N.T.U), Tehran (Mohammadi, M.A.; Ardabilipour, M.)
Abstract	Channel compensation has been considered as a major problem from the advent of wireless communications, but recent progresses in this realm has made the old problem more challenging. Especially by introducing Space-Time codes and using Array Antennas exploiting an equalization method which can track the changing channel condition with higher accuracy and lower computations is a challenging demand. This paper analyses a suggested new method for channel estimation in a MIMO-OFDM Receiver. In the proposed method, optimum training sequences are derived base on calculated MSE for LS channel estimation, utilizing these training sequences adaptive methods based on LMS and RLS are applied to estimate the channel for a system which emits independent data streams from transmitter antennas. Proposed method is capable of computing all sub-channel coefficients between a receiver antenna and all transmitters. Finally, performances of RLS and LMS algorithms are simulated and compared with LS algorithm.
Starting Page	1
Ending Page	5
File Size	1421665
Page Count	5
File Format	PDF
ISBN	9781424419791
DOI	10.1109/WOCN.2008.4542543
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-05
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transmitting antennas Adaptive arrays Resonance light scattering LS MIMO-OFDM System Least squares approximation Wireless communication component Transmitters LMS channel estimation Channel estimation Space time codes Receiving antennas RLS Antenna arrays
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

Adaptive RLS channel estimation in MIMO-OFDM systems

MIMO-OFDM Channel Estimation Using Improved LS Algorithm

Channel estimation for STBC-OFDM systems

MIMO channel estimation in spatially correlated environments

LS Codes Aided Channel Estimation for MIMO-OFDM Systems in Multipath Environment

Optimum-Weighted RLS Channel Estimation for Time-Varying Fast Fading MIMO Channels

Gradient-Based Variable Forgetting Factor RLS Algorithm in MIMO-OFDM Channel Estimation

Steering an adaptive antenna array by LMS algorithm

An improved adaptive channel prediction for MIMO-OFDM systems

Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems

Similar Documents

Adaptive RLS channel estimation in MIMO-OFDM systems

MIMO-OFDM Channel Estimation Using Improved LS Algorithm

Channel estimation for STBC-OFDM systems

MIMO channel estimation in spatially correlated environments

LS Codes Aided Channel Estimation for MIMO-OFDM Systems in Multipath Environment

Optimum-Weighted RLS Channel Estimation for Time-Varying Fast Fading MIMO Channels

Gradient-Based Variable Forgetting Factor RLS Algorithm in MIMO-OFDM Channel Estimation

Steering an adaptive antenna array by LMS algorithm

An improved adaptive channel prediction for MIMO-OFDM systems

Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems