An intelligent tracking algorithm for an IR imaging missile seeker and a method of evaluating its performance in simulated flight is described in this paper. The missile is a fire-and-forget, shoulder-launched, anti-tank weapon that lofts to an altitude of approximately 150 meters and then homes toward the target using proportional guidance. A gyro stabilized seeker is precessed to the target by pointing commands. These pointing commands are developed from an imaging sensor by a new tracking algorithm that performs well in a highly cluttered background. Both the tracking algorithem design and its evaluation in missile flights were accomplished using a digital computer simulation called HUGGER. This program includes a 6 degree-of-freedom missile simulation, a detailed seeker model a three-dimensional model of the target, a two-dimensional background model, and the intelligent tracking algorithm. Sensor images of the target as seen from the missile are formed on a 64x128 pixel IR-CCD array. The algorithm utilizes three features within the image: intensity, spatial frequency, and internal gradients. A multithresholding technique is also described which enhances target discrimination. Recent military events have vividly shown that precision guided missiles are so effective they have changed concepts of modern warfare. With the advent of small, high speed microprocessors and solid state staring arrays, this trend will continue. Imaging seekers which utilize considerably more information concerning the target area are now possible.
Design and simulation of an intelligent missile seeker
Entwicklung und Simulation eines intelligenten Flugkoerpersuchers
Agard Conf. Proc. ; 9-15
1983
15 Seiten, 25 Bilder, 1 Tabelle, 13 Quellen
Conference paper
English
Semi-Empirical Approach for Missile Seeker Sizing
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