Title: Aerospace target tracking of multiple moving targets using Gaussian filters based on symmetrical measurements

Authors: Swati

Addresses: Department of Electrical and Electronics Engineering, Rashtrakavi Ramdhari Singh Dinkar Engineering College Begusarai, Bihar, India

Abstract: In this paper, aerospace target tracking of multiple targets moving in space has been done based on symmetrical transformation of measurements using different nonlinear Gaussian filters. The targets' positions and velocities have been estimated using traditional extended Kalman filter (EKF), unscented Kalman filter (UKF) and advanced cubature quadrature Kalman filter (CQKF) for three types of symmetrical measurement, namely sum of power, sum of product and homogeneous symmetric form. The results of EKF, UKF and CQKF for those symmetrical measurements with optimal linear Kalman filter have been compared in terms of root mean square error (RMSE). It has been observed that RMSEs of position and velocity are distinctly smaller in sum of product than sum of power, whereas performance for homogeneous symmetric form is comparable to sum of product and sometimes better. Further investigation reveals that UKF and CQKF with homogeneous symmetric form reduce RMSEs of position and velocity significantly.

Keywords: aerospace target tracking; multiple target tracking; symmetrical measurement equation; nonlinear Gaussian filter.

DOI: 10.1504/IJSPACESE.2024.139319

International Journal of Space Science and Engineering, 2024 Vol.7 No.1, pp.1 - 11

Received: 17 Jan 2022
Accepted: 05 Apr 2023
Published online: 01 Jul 2024 *

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