Work

Polynomial Filtering Algorithms under Quadratic Nonlinearities in System and Measurement Equations: Comparison with Extended and Second-Order Kalman Filters1

Year: 2022

Type: article

Abstract: The paper considers the filtering problem under quadratic nonlinearities both in system and measurement equations. A polynomial filter, which is a Kalman-type recursive algorithm, is proposed. The similarities between this algorithm and other Kalman-type algorithms such as extended and second-order Kalman filters are discussed. The procedure for estimating the performance and comparing the algorithms is presented. The advantages of proposed algorithm are illustrated using a navigation data processing example

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2022.07.394

Authors: Oleg A. Stepanov, Yulia A. Litvinenko, Vladimir A. Vasiliev, Anton B. Toropov, Alexey M. Isaev, Mikhail V. Basin

Institutions: ITMO University, State Research Center of the Russian Federation

Language: English

Topic: Target Tracking and Data Fusion in Sensor Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Russian Science Foundation

Award: G3909932192