Tuning of GPS aided attitude estimation using evolutionary algorithms

Poddar, S and Hussain, S and Ailneni, S and Kumar, V and Kumar, A (2016) Tuning of GPS aided attitude estimation using evolutionary algorithms. International Journal of Intelligent Unmanned Systems, 4 (1). pp. 23-42. ISSN 20496427

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Official URL: https://www.emeraldinsight.com/doi/full/10.1108/IJ...


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.

Item Type: Article
Subjects: GEOSCIENCES > Geophysics
MATHEMATICAL AND COMPUTER SCIENCES > Computer Programming and Software
Depositing User: Mrs SK Pratibha
Date Deposited: 20 Aug 2018 12:05
Last Modified: 20 Aug 2018 12:05
URI: http://nal-ir.nal.res.in/id/eprint/12928

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