PROJECT TITLE :
This correspondence is devoted to the study of the impact of flight disturbances because of the atmospheric turbulence on airborne radar tracking. The performance of a turbulence-ignorant tracking filter is assessed in an exceedingly turbulent simulated state of affairs. The turbulence is modelled in line with the Dryden model, a correlated, zero-mean, Gaussian random process. A quasi-ellipsoidal racetrack course is chosen for the air platform that carries the radar. The performance of the turbulence-ignorant tracking algorithm is analyzed in terms of mean worth and normal deviation of the estimation errors for every part of the position and velocity vectors and compared with the posterior Cramer-Rao lower sure (PCRLB), evaluated for the ideal case of absence of platform vibrations.
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