The research conducted in the last decade in missile design has mainly focused in the area of guidance and control. Many researchers have designed interceptors with high performance; namely: ranging from the classical control to the knowledge based techniques. The homing guided missile flight simulation testbed has been developed and tested against different control systems. The missile aerodynamic model has been simulated based on NASA reports and the output aerodynamic coefficients have been compared and justified by the wind tunnel tests as well. The other missile modules have been simulated and compared to the real missile modules in terms of input/output experimental results. The guidance and control system has yield excellent performance against incoming and outgoing maneuvering targets falling within the missile's destruction zone. However, all the test scenarios assumed that the target information from the missile seeker (tracker) is exact and obtained from the observations without any major difficulty. In the case of high density clutter and false alarms as well as the low signal-to-noise-ratio (SNR) which may be due to the existence of flair, decoy or any other counter measure, the tracker accuracy plays an important role in the over all engagement scenario. In this paper, a fuzzy logic-based technique has been employed to improve the performance of the missile seeker at high density clutter and low SNR. The Interacting Multiple Model Fuzzy Data Association (IMM-FDA) has been employed to improve the missile-target intercept accuracy.
A fuzzy-logic-based tracker for a homing guided missile
Signal Processing, Sensor Fusion, and Target Recognition XII ; 2003 ; Orlando,Florida,United States
Proc. SPIE ; 5096
2003-08-25
Conference paper
Electronic Resource
English
A fuzzy-logic-based tracker for a homing guided missile
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