This article discusses computational implementation aspects and performance of a Bayesian methodology, namely particle filter (PF). The PF channel estimation technique is directly applied to the channel coefficients estimation of DS/CDMA systems. Simulation results for non-line-of-sight (NLOS) Rayleigh fading channel propagation have indicated that the bootstrap PF estimator is capable to provide RMSE in the range of [10-3 ; 10-2] for a wide range of multiple access interference (MAI) levels and signal-noise ratio (SNR), and still be able to offer robustness to near-far ratio (NFR) effect
The accuracy of channel estimation (CE) significantly affects the performance of the coherent rake ...
This paper proposes an efficient spectrum and power allocation solution for a large scale dynamic sp...
Particle Filter is a significant member of the group of methods aiming to provide reasonable solutio...
Este trabalho analisa os principais métodos de reamostragem associados à técnica da estimação Bayesi...
Cette thèse traite les applications du filtrage particulaire aux problèmes de communications numériq...
This paper introduces the key principles and applications of particle filtering. Particle Filters ar...
Abstract — Instead of the per-survivor processing (PSP) detector which is the state-of-the-art solut...
this paper, we keep the approach of the joint data-channel estimation used in the PSP detector and w...
Estimating the state of a system from noisy measurements is a problem which arises in a variety of s...
Code-division multiple-access (CDMA) systems with random spreading and channel uncertainty at the re...
This thesis is about bayesian networks, particle filters and their application to digital communicat...
Wireless cellular communication is witnessing a rapid growth in markets, technology, and range of se...
This dissertation focuses on topics of Bayesian-based multiuser detection, space-time (S-T) transcei...
We propose Gaussian particle filtering approach for solving the problem of corrupting the MDPSK sign...
The particle filtering algorithm was introduced in the 1990s as a numerical solution to the Bayesian...
The accuracy of channel estimation (CE) significantly affects the performance of the coherent rake ...
This paper proposes an efficient spectrum and power allocation solution for a large scale dynamic sp...
Particle Filter is a significant member of the group of methods aiming to provide reasonable solutio...
Este trabalho analisa os principais métodos de reamostragem associados à técnica da estimação Bayesi...
Cette thèse traite les applications du filtrage particulaire aux problèmes de communications numériq...
This paper introduces the key principles and applications of particle filtering. Particle Filters ar...
Abstract — Instead of the per-survivor processing (PSP) detector which is the state-of-the-art solut...
this paper, we keep the approach of the joint data-channel estimation used in the PSP detector and w...
Estimating the state of a system from noisy measurements is a problem which arises in a variety of s...
Code-division multiple-access (CDMA) systems with random spreading and channel uncertainty at the re...
This thesis is about bayesian networks, particle filters and their application to digital communicat...
Wireless cellular communication is witnessing a rapid growth in markets, technology, and range of se...
This dissertation focuses on topics of Bayesian-based multiuser detection, space-time (S-T) transcei...
We propose Gaussian particle filtering approach for solving the problem of corrupting the MDPSK sign...
The particle filtering algorithm was introduced in the 1990s as a numerical solution to the Bayesian...
The accuracy of channel estimation (CE) significantly affects the performance of the coherent rake ...
This paper proposes an efficient spectrum and power allocation solution for a large scale dynamic sp...
Particle Filter is a significant member of the group of methods aiming to provide reasonable solutio...