Channel estimation for OFDM

Y Liu, Z Tan, H Hu, LJ Cimini… - … Communications Surveys & …, 2014 - ieeexplore.ieee.org
Orthogonal frequency division multiplexing (OFDM) has been widely adopted in modern
wireless communication systems due to its robustness against the frequency selectivity of …

Turbo equalization: An overview

M Tüchler, AC Singer - IEEE Transactions on Information …, 2011 - ieeexplore.ieee.org
Turbo codes and the iterative algorithm for decoding them sparked a new era in the theory
and practice of error control codes. Turbo equalization followed as a natural extension to this …

Capacity-achieving guessing random additive noise decoding

KR Duffy, J Li, M Médard - IEEE Transactions on Information …, 2019 - ieeexplore.ieee.org
We introduce a new algorithm for realizing maximum likelihood (ML) decoding for arbitrary
codebooks in discrete channels with or without memory, in which the receiver rank-orders …

Guessing random additive noise decoding with symbol reliability information (SRGRAND)

KR Duffy, M Médard, W An - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The design and implementation of error correcting codes has long been informed by two
fundamental results: Shannon's 1948 capacity theorem, which established that long codes …

Iterative channel estimation using virtual pilot signals for MIMO-OFDM systems

S Park, B Shim, JW Choi - IEEE Transactions on Signal …, 2015 - ieeexplore.ieee.org
The number of transmit and receive antennas in multi-input multi-output (MIMO) systems is
increasing rapidly to enhance the throughput and reliability of next-generation wireless …

Guessing random additive noise decoding with soft detection symbol reliability information-SGRAND

KR Duffy, M Médard - 2019 IEEE International Symposium on …, 2019 - ieeexplore.ieee.org
We recently introduced a noise-centric algorithm, Guessing Random Additive Noise
Decoding (GRAND), that identifies a Maximum Likelihood (ML) decoding for arbitrary code …

[KÖNYV][B] Wireless communications: algorithmic techniques

GA Vitetta, DP Taylor, G Colavolpe, F Pancaldi… - 2013 - books.google.com
This book introduces the theoretical elements at the basis of various classes of algorithms
commonly employed in the physical layer (and, in part, in MAC layer) of wireless …

Review of channel estimation for wireless communication systems

OO Oyerinde, SH Mneney - IETE Technical review, 2012 - Taylor & Francis
Wireless communication systems have evolved over the ages. However, there are some
undesirable effects of a wireless communication channel on the signals transmitted through …

A low-complexity iterative channel estimation and detection technique for doubly selective channels

Q Guo, L **, D Huang - IEEE Transactions on Wireless …, 2009 - ieeexplore.ieee.org
In this paper, we propose a low-complexity iterative joint channel estimation, detection and
decoding technique for doubly selective channels. The key to the proposed technique is a …

Phase noise in MIMO systems: Bayesian Cramér–Rao bounds and soft-input estimation

AA Nasir, H Mehrpouyan, R Schober… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
This paper addresses the problem of estimating time varying phase noise caused by
imperfect oscillators in multiple-input multiple-output (MIMO) systems. The estimation …