Tuning of GPS aided attitude estimation using evolutionary algorithms

Poddar, S; Hussain, S; Ailneni, S; Kumar, V; Kumar, A

doi:10.1108/IJIUS-05-2015-0005

Tuning of GPS aided attitude estimation using evolutionary algorithms

By S Poddar, S Hussain, S Ailneni, V Kumar and A Kumar

Abstract

The purpose of this paper is to solve the problem of tuning of EKF parameters (process and measurement noise co-variance matrices) designed for attitude estimation using Global Positioning System (GPS) aided inertial sensors by employing a Human Opinion Dynamics (HOD)-based optimization technique and modifying the technique using maximum likelihood estimators and study its performance as compared to Particle Swarm Optimization (PSO) and manual tuning

Topics: Geophysics, Computer Programming and Software

Publisher: 'Emerald'

Year: 2016

DOI identifier: 10.1108/IJIUS-05-2015-0005

OAI identifier: oai:nal-ir.nal.res.in:12928

Provided by: National Aerospace Laboratories Institutional Repository

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Tuning of GPS aided attitude estimation using evolutionary algorithms

Abstract

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