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Teor. Veroyatnost. i Primenen., 1995 Volume 40, Issue 4, Pages 859–872 (Mi tvp3667)

This article is cited in 47 papers

Non-linear filtering using random particles

P. Del Moral

Universite Paul Sabatier M.I.G., Laboratoire de Statistiques et Probabilites, Toulouse, France

Abstract: This paper is concerned with extending the particle solution of nonlinear discrete-time filtering problems developed in [Ph.D. thesis, Université Paul Sabatier, Tolouse, France, 1994], [Contrat 89.34.553.00.470.75.01, DIGILOG-DRET, 1992], and [Proc. l4iéme Colloque GRETSI, Juan les Pins, September, 13–16, 1993] to continuous-time problems. The minimal sufficient conditions for a time-uniform convergence of our particle filter are quite similar to those described in [Ph.D. thesis, Université Paul Sabatier, Tolouse, France, 1994]. Guided by Sussmann's condition, which ensures the continuity of the conditional expectation, we introduce a new regularity concept in this paper.

Keywords: nonlinear, filtering, particle methods.

Received: 08.06.1995

Language: English


 English version:
Theory of Probability and its Applications, 1995, 40:4, 690–701

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