Presentation + Paper
1 May 2017 Time-to-impact estimation in passive missile warning systems
Author Affiliations +
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.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mehmet Cihan Şahıngıl "Time-to-impact estimation in passive missile warning systems", Proc. SPIE 10203, Pattern Recognition and Tracking XXVIII, 102030E (1 May 2017); https://doi.org/10.1117/12.2267989
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KEYWORDS
Missiles

Ranging

Sensors

Combustion

Radar

Ultraviolet radiation

Error analysis

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