Gauss Hermite H∞ Filter for UAV Tracking Using LEO Satellites TDOA/FDOA Measurement-Part I

• Published in: IEEE access Vol. 8; pp. 201428 - 201440
• Main Authors: Elgamoudi, Abulasad, Benzerrouk, Hamza, Elango, G. Arul, Landry, Rene
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H; Algorithms; Covariance; Covariance matrices; Cramer-Rao bounds; CRLB; Emitters; Extraterrestrial measurements; FDOA; Geolocation; Geology; GHKF; H infinity; LEO sat; Low earth orbit satellites; Low earth orbits; Lower bounds; Noise measurement; observability; Position measurement; Position sensing; Radio frequency; RMSE; Satellite tracking; Sensors; Target tracking; TDOA; Tracking; Tracking problem; UAV; Uncertainty; Unmanned aerial vehicles
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.3032825

The precision geolocation and target tracking problem has been addressed in this paper using High-Degree Non-linear Filtering based on hybrid Time Difference of Arrival (TDOA), Frequency Difference of Arrival (FDOA) measurements using Low Earth Orbit (LEO) satellite with slant range. In order to update the noise covariance and estimation process at each measurement, the Gauss Hermite <inline-formula> <tex-math notation="LaTeX">{H_{\infty }} </tex-math></inline-formula> Filter based on hybrid TDOA/FDOA geolocation measurements are proposed in this work. Numerous scenarios with the different rotation speed of Radio Frequency (RF) emitter has been considered. Multi LEO satellites have used to estimate and track the location of the unknown Unmanned Aerial Vehicle (UAV) under uncertainties of measurements. The uncertainties of measurements have been considered because the position and velocity of sensors are not fixed, which may affect the emitter location estimation measurements. The Cramer-Rao Lower Bound (CRLB) is used as a metric for measuring and analyzing the performance of the <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula>/GHKF <inline-formula> <tex-math notation="LaTeX">3^{rd} </tex-math></inline-formula> degree and <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula>/GHKF <inline-formula> <tex-math notation="LaTeX">5^{th} </tex-math></inline-formula> degree algorithm, as well as compare it with state-of-the-art algorithms. The simulation results of the proposed algorithm indicate that the significant improvement in performance for example, 10% based on TDOA, 40% for FDOA, and 50% on TDOA/FDOA have been achieved.