DocumentCode :
3191553
Title :
Exo-Atmospheric JR Tracking of Ballistic Objects
Author :
Srinivasan, M. ; Bhaumik, S. ; Sadhu, S. ; Ghoshal, T.K.
Author_Institution :
Department of Electrical Engineering, Jadavpur University Kolkata-700 032, Phone/Fax: +91-33-2414 6723, msrinivasan77@yahoo.com
fYear :
2005
fDate :
11-13 Dec. 2005
Firstpage :
347
Lastpage :
351
Abstract :
Infra red seekers are now considered viable alternative to MMW seekers for exo-atmospheric tactical Ballistic Missile (TBM) interceptors. Only gimbal angle and inertial sightline rate signals are available from such seekers. Both of these are corrupted with random noise and residual body motion signals. The inertial or earth reference based bearing angle signal may be obtained from the INS and the seeker gimbal angle. The initial relative co ordinates and velocities may be obtained from the INS and the ground radar. In the penultimate phase of the interception, the interceptor trajectory may be approximated by a straight line making a shallow angle with the near straight line TBM trajectory. The intercepting platform (seeker) moves towards the ballistic object, though the velocities are several magnitudes higher and inertial sightline rate as well as bearing angle are available as measurement. Two cases have been studied. In the first case, only the gimbal angle information is used and three estimation techniques are compared namely Extended Kalman filter (EKF), Unscented Kalman Filter (UKF) and pseudomea surement filter. It is shown that EKF and UKF fail to track in a considerable number of cases but the pseudomeasurement filter has a performance close to the theoretical optimum described by the Cramer Rao bound. In the second case, the raw noisy sight line rate available from the seeker is considered as a second measurement. It is shown that the tracking performance improves substantially.
Keywords :
Ballistic Target Tracking; EKF; Monte Carlo simulation; Pseudo measurement Filter; UKF; Atmospheric measurements; Cramer-Rao bounds; Earth; Information filtering; Information filters; Missiles; Radar tracking; Target tracking; Trajectory; Velocity measurement; Ballistic Target Tracking; EKF; Monte Carlo simulation; Pseudo measurement Filter; UKF;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INDICON, 2005 Annual IEEE
Print_ISBN :
0-7803-9503-4
Type :
conf
DOI :
10.1109/INDCON.2005.1590187
Filename :
1590187
Link To Document :
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