DocumentCode :
3275124
Title :
Non-overlapping deterministic Gaussian particles in maximum likelihood non-linear filtering: phase tracking application
Author :
Ziadi, Anis ; Salut, Gérard
Author_Institution :
Lab. d´´Analyse et d´´Archit. des Syst., Centre Nat. de la Recherche Sci., France
fYear :
2005
fDate :
13-16 Dec. 2005
Firstpage :
645
Lastpage :
648
Abstract :
In a former paper (G. Salut and A. Ziadi, 2004), a deterministic particle filtering method was introduced using extended Gaussian particles and nonrandom state space exploration. This yields higher estimation performances and an important reduction of particle number, due to deterministic properties in 1/N instead of 1/N2 for random method. Apart from those improvements, a particle overlapping was observed under more critical dynamics and observation (signal to noise ratio) conditions. Similarly to support degeneration in random particle filtering method, this high particle concentration decreases filter performances and limits its efficiency in long duration signal processing application. In this paper, we propose a new deterministic Gaussian particle algorithm to improve filter performance as well as particle number. Overlapping drawbacks and improved filtering algorithm performances are illustrated through a modified version of phase tracking problem from noisy observation.
Keywords :
Gaussian processes; maximum likelihood estimation; nonlinear filters; particle filtering (numerical methods); maximum likelihood nonlinear filtering; nonoverlapping deterministic Gaussian particles; nonrandom state space exploration; particle filtering method; phase tracking application; Filtering algorithms; Filters; Maximum likelihood estimation; Particle tracking; Phase noise; Signal processing algorithms; Signal to noise ratio; Space exploration; State-space methods; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2005. ISPACS 2005. Proceedings of 2005 International Symposium on
Print_ISBN :
0-7803-9266-3
Type :
conf
DOI :
10.1109/ISPACS.2005.1595492
Filename :
1595492
Link To Document :
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