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Radar cross section model optimisation using genetic algorithms

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2 Author(s)
E. J. Hughes ; R. Mil. Coll. of Sci., Cranfield, UK ; M. Leyland

Many missile-target simulation systems use random numbers to mimic the effects of a fluctuating target radar cross section (RCS) in an attempt to minimise simulation times. In this paper a genetic algorithm is used to optimise the complexity of a point-scatterer model with a realistic radar cross section, ultimately allowing real measured data to be used in simulations. The performance of the genetic algorithm is compared against an iterative optimisation method and a known optimum solution. The radar cross section models described in this paper are designed to be used with a synthetic homing guidance missile in 3-dimensional virtual engagement scenarios. The models allow measured RCS data to be combined with synthetic RCS details, creating a realistic target radar cross section with 4π steradian coverage

Published in:

Radar 97 (Conf. Publ. No. 449)

Date of Conference:

14-16 Oct 1997