It was recently shown that detection performance can be significantly improved if the statistics of channel estimation errors are available and properly used at the receiver. Although deriving the statistics of channel estimation errors is rather straightforward for pilot-only channel estimation methods, it is not the case for semi-blind receivers such as variational Bayesian (VB) receivers. We have shown in a recent contribution that by a modified formulation of the VB formalism, one can reduce the impact of channel uncertainty on the decoder performance. In this paper, we propose different practical VB receiver implementation techniques that lead to further performance improvement. The adequacy of the proposed receiver design compared to ...
Reliable detection of signals transmitted over a wireless communication channel requires knowledge o...
We develop blind data detectors for orthogonal frequency-division multiplexing (OFDM) systems over d...
Finite-Alphabet based blind channel estimation in OFDM systems is known to be extremely complex due ...
It was recently shown that the detection performance can be significantly improved if the statistics...
Abstract In this thesis, iterative detection and estimation algorithms for digital communications sy...
We propose an iterative algorithm for OFDM receivers operating over fast time-varying channels. The ...
In this work, the problem of receiver design for phase noise estimation and data detection in the pr...
The main objective of this dissertation is to present the structural design, performance evaluation,...
International audienceFor the case of imperfect channel estimation, we propose an improved detector ...
The discovery of turbo codes in the 1990s has revolutionized the design of communication systems. Un...
This paper introduces a robust variational bayes (Robust-VB) receiver algorithm for joint signal det...
We propose an iterative receiver architecture which allows for adjusting the complexity of estimatin...
In this work we compare channel estimation algorithms for use in an iterative CDMA receiver in a blo...
Code-division multiple-access (CDMA) systems with random spreading and channel uncertainty at the re...
In this paper, partial data-dependent superimposed training based channel estimation for OFDM system...
Reliable detection of signals transmitted over a wireless communication channel requires knowledge o...
We develop blind data detectors for orthogonal frequency-division multiplexing (OFDM) systems over d...
Finite-Alphabet based blind channel estimation in OFDM systems is known to be extremely complex due ...
It was recently shown that the detection performance can be significantly improved if the statistics...
Abstract In this thesis, iterative detection and estimation algorithms for digital communications sy...
We propose an iterative algorithm for OFDM receivers operating over fast time-varying channels. The ...
In this work, the problem of receiver design for phase noise estimation and data detection in the pr...
The main objective of this dissertation is to present the structural design, performance evaluation,...
International audienceFor the case of imperfect channel estimation, we propose an improved detector ...
The discovery of turbo codes in the 1990s has revolutionized the design of communication systems. Un...
This paper introduces a robust variational bayes (Robust-VB) receiver algorithm for joint signal det...
We propose an iterative receiver architecture which allows for adjusting the complexity of estimatin...
In this work we compare channel estimation algorithms for use in an iterative CDMA receiver in a blo...
Code-division multiple-access (CDMA) systems with random spreading and channel uncertainty at the re...
In this paper, partial data-dependent superimposed training based channel estimation for OFDM system...
Reliable detection of signals transmitted over a wireless communication channel requires knowledge o...
We develop blind data detectors for orthogonal frequency-division multiplexing (OFDM) systems over d...
Finite-Alphabet based blind channel estimation in OFDM systems is known to be extremely complex due ...