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Proceedings Paper

Time-to-impact estimation in passive missile warning systems
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Paper Abstract

A missile warning system can detect the incoming missile threat(s) and automatically cue the other Electronic Attack (EA) systems in the suit, such as Directed Infrared Counter Measure (DIRCM) system and/or Counter Measure Dispensing System (CMDS). Most missile warning systems are currently based on passive sensor technology operating in either Solar Blind Ultraviolet (SBUV) or Midwave Infrared (MWIR) bands on which there is an intensive emission from the exhaust plume of the threatening missile. Although passive missile warning systems have some clear advantages over pulse-Doppler radar (PDR) based active missile warning systems, they show poorer performance in terms of time-to-impact (TTI) estimation which is critical for optimizing the countermeasures and also “passive kill assessment”. In this paper, we consider this problem, namely, TTI estimation from passive measurements and present a TTI estimation scheme which can be used in passive missile warning systems. Our problem formulation is based on Extended Kalman Filter (EKF). The algorithm uses the area parameter of the threat plume which is derived from the used image frame.

Paper Details

Date Published: 1 May 2017
PDF: 14 pages
Proc. SPIE 10203, Pattern Recognition and Tracking XXVIII, 102030E (1 May 2017); doi: 10.1117/12.2267989
Show Author Affiliations
Mehmet Cihan Şahıngıl, TUBITAK BILGEM / ILTAREN (Turkey)


Published in SPIE Proceedings Vol. 10203:
Pattern Recognition and Tracking XXVIII
Mohammad S. Alam, Editor(s)

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