Monte Carlo Bayesian Signal Processing for Wireless Communications
Journal of VLSI Signal Processing Systems
Joint estimation and decoding of space-time Trellis codes
EURASIP Journal on Applied Signal Processing - Space-time coding and its applications - part I
Robust joint channel and noise estimation in Bayesian blind equalizers
Signal Processing
Signal Processing - Signal processing in communications
New sequential Monte Carlo methods for nonlinear dynamic systems
Statistics and Computing
Adaptive blind multiuser detection over flat fast fading channels using particle filtering
EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
Particle filters for maneuvering target tracking problem
Signal Processing
Joint estimation and decoding of space-time trellis codes
EURASIP Journal on Applied Signal Processing
Simplifying physical realization of Gaussian particle filters with block-level pipeline control
EURASIP Journal on Applied Signal Processing
Global sampling for sequential filtering over discrete state space
EURASIP Journal on Applied Signal Processing
Multilevel mixture Kalman filter
EURASIP Journal on Applied Signal Processing
Resampling algorithms for particle filters: a computational complexity perspective
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
Particle filtering equalization method for a satellite communication channel
EURASIP Journal on Applied Signal Processing
Channel tracking using particle filtering in unresolvable multipath environments
EURASIP Journal on Applied Signal Processing
Minimum Kullback-Leibler-Based Turbo Multiuser Detector over Decomposition CDMA Signal
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Adaptive sensor fault detection and identification using particle filter algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Data detection and Kalman estimation for multiple space-time trellis codes
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
A fixed-lag particle smoother for blind SISO equalization of time-varying channels
IEEE Transactions on Wireless Communications
Extended object tracking using mixture Kalman filtering
NMA'06 Proceedings of the 6th international conference on Numerical methods and applications
Joint data detection and channel estimation for fading unknown time-varying Doppler environments
IEEE Transactions on Communications
Blind estimation of fast time-varying multi-antenna channels based on sequential monte carlo method
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Digital Signal Processing
An Efficient Architecture for Sequential Monte Carlo Receivers in Wireless Flat-Fading Channels
Journal of Signal Processing Systems
Hi-index | 754.90 |
A novel adaptive Bayesian receiver for signal detection and decoding in fading channels with known channel statistics is developed; it is based on the sequential Monte Carlo methodology that has emerged in the field of statistics. The basic idea is to treat the transmitted signals as “missing data” and to sequentially impute multiple samples of them based on the observed signals. The imputed signal sequences, together with their importance weights, provide a way to approximate the Bayesian estimate of the transmitted signals and the channel states. Adaptive receiver algorithms for both uncoded and convolutionally coded systems are developed. The proposed techniques can easily handle the non-Gaussian ambient channel noise. It is shown through simulations that the proposed sequential Monte Carlo receivers achieve near-bound performance in fading channels for both uncoded and coded systems, without the use of any training/pilot symbols or decision feedback. Moreover, the proposed receiver structure exhibits massive parallelism and is ideally suited for high-speed parallel implementation using the very large scale integration (VLSI) systolic array technology