Particle filtering for demodulation in fading channels with non-Gaussian additive noise
In this paper, an efficient particle filtering algorithm is developed to solve the problem of demodulation of M-ary modulated signals under conditions of fading channels in the presence of non-Gaussian additive noise. Simulations for MDPSK signals are presented. The results show that the algorithm o...
Автори: | Punskaya, E, Andrieu, C, Doucet, A, Fitzgerald, W |
---|---|
Формат: | Journal article |
Опубліковано: |
2001
|
Схожі ресурси
Схожі ресурси
-
Particle filtering for partially observed Gaussian state space models
за авторством: Andrieu, C, та інші
Опубліковано: (2002) -
Particle Filtering for Joint Symbol and Code Delay Estimation in DS Spread Spectrum Systems in Multipath Environment
за авторством: Punskaya Elena, та інші
Опубліковано: (2004-01-01) -
Signal Detection in Generalized Gaussian Distribution Noise With Nakagami Fading Channel
за авторством: Xiaomei Zhu, та інші
Опубліковано: (2019-01-01) -
Bayesian curve fitting using MCMC with applications to signal segmentation
за авторством: Punskaya, E, та інші
Опубліковано: (2002) -
Optimization of capacity in non-Gaussian noise models with and without fading channels for sustainable communication systems
за авторством: Ghanim A. Al-Rubaye, та інші
Опубліковано: (2023-09-01)