Low-Complexity Blind Equalization for OFDM Systems With General Constellations

Tareq Y AL-NAFFOURI; Ala A DAHMAN; Muhammad S SOHAIL; WEIYU XU; Babak HASSIBI

doi:10.1109/TSP.2012.2218808

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Low-Complexity Blind Equalization for OFDM Systems With General Constellations

Journal article

Peer reviewed

Low-Complexity Blind Equalization for OFDM Systems With General Constellations

Tareq Y AL-NAFFOURI, Ala A DAHMAN, Muhammad S SOHAIL, WEIYU XU and Babak HASSIBI

IEEE transactions on signal processing, Vol.60(12), pp.6395-6407

2012

DOI: 10.1109/TSP.2012.2218808

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https://arxiv.org/pdf/1207.2546View

Open Access

Abstract

This paper proposes a low-complexity algorithm for blind equalization of data in orthogonal frequency division multiplexing (OFDM)-based wireless systems with general constellations. The proposed algorithm is able to recover the transmitted data even when the channel changes on a symbol-by-symbol basis, making it suitable for fast fading channels. The proposed algorithm does not require any statistical information about the channel and thus does not suffer from latency normally associated with blind methods. The paper demonstrates how to reduce the complexity of the algorithm, which becomes especially low at high signal-to-noise ratio (SNR). Specifically, it is shown that in the high SNR regime, the number of operations is of the order O ( LN ), where L is the cyclic prefix length and N is the total number of subcarriers. Simulation results confirm the favorable performance of the proposed algorithm.

Applied Sciences

Signal and communications theory

Multiplexing

Telecommunications and information theory

Exact sciences and technology

Signal, noise

Information, signal and communications theory

Detection, estimation, filtering, equalization, prediction

Details

Title: Subtitle: Low-Complexity Blind Equalization for OFDM Systems With General Constellations
Creators: Tareq Y AL-NAFFOURI - Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
Ala A DAHMAN - Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
Muhammad S SOHAIL - Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
WEIYU XU - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States
Babak HASSIBI - Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, United States
Resource Type: Journal article
Publication Details: IEEE transactions on signal processing, Vol.60(12), pp.6395-6407
DOI: 10.1109/TSP.2012.2218808
ISSN: 1053-587X
eISSN: 1941-0476
Publisher: Institute of Electrical and Electronics Engineers
Language: English
Date published: 2012
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083299202771

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