Gaussian particle filtering block of navigation data
نویسندگان
چکیده
منابع مشابه
Gaussian particle filtering
Sequential Bayesian estimation for nonlinear dynamic state-space models involves recursive estimation of filtering and predictive distributions of unobserved time varying signals based on noisy observations. This paper introduces a new filter called the Gaussian particle filter1. It is based on the particle filtering concept, and it approximates the posterior distributions by single Gaussians, ...
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We have studied a sea navigation method relying on a digital underwater terrain map and sonar measurements. The method is applicable for both ships and underwater vessels. We have used experimental data to build an underwater map and to investigate the estimation performance. Since the problem is non-linear, due to the measurement relation, we apply a sequential Monte Carlo method, or particle ...
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ژورنال
عنوان ژورنال: Electronics and Control Systems
سال: 2016
ISSN: 1990-5548
DOI: 10.18372/1990-5548.50.11394