Publication Type : Conference Proceedings
Publisher : Springer Singapore
Source : Security in Computing and Communications, Springer Singapore, Volume 625, Singapore, p.269-279 (2016)
Url : https://link.springer.com/chapter/10.1007/978-981-10-2738-3_23
ISBN : 9789811027383
Campus : Coimbatore
School : School of Engineering
Center : Amrita Innovation & Research
Department : Electronics and Communication
Verified : Yes
Year : 2016
Abstract : pBreakthrough developments in missile guidance technology have made interception of inbound enemy missiles very difficult. Thus, it poses a huge risk and critically puts defensive capability of fighter aircrafts under test. This paper addresses the usage of Extended Kalman Filter (EKF) algorithm to estimate and track the location of inbound missile for interception by firing countermeasures. In this respect, prediction of the missile's location and trajectory is essential to enable the countermeasures fired to intercept the Enemy's missile accurately. Further, the proposed method can be used to alert the pilot regarding the inbound enemy missile and can be guided with various approaches to avoid or intercept it. EKF has been the best forecaster of the missile's location and trajectory since it has been extensively used to track objects in 3-Dimensions and in Missile guidance. EKF developed in this paper provides satisfactory results with a miss rate of 2.1nbsp;% and with localization error of 1.2nbsp;%. Thus the proposed method can be used in fighter jets for interception of inbound enemy missiles. It can further be used to track enemy aircraft's activity within the observed range./p
Cite this Research Publication : T. S. Gokkul Nath, Sudheesh, P., and Jayakumar, M., “Tracking Inbound Enemy Missile for Interception from Target Aircraft Using Extended Kalman Filter”, Security in Computing and Communications, vol. 625. Springer Singapore, Singapore, pp. 269-279, 2016.