Please use this identifier to cite or link to this item:
|Document Type: ||Thesis or dissertation|
|Title: ||Radar cross section modelling using genetic algorithms|
|Authors: ||Hughes, E. J.|
|Supervisors: ||White, Professor B. A.|
|Issue Date: ||2009|
|Abstract: ||In the design of new, more sophisticated missile systems, simulations need to be
realistic and fast. Realistic target models are just as important as realistic models
of the missile, but have often been overlooked in the past. Existing methods for
creating realistic target models require considerable computational resources. This
thesis addresses the problem of using limited resources to create realistic target
models for simulating engagements with radar guided homing missiles.
A multiple genetic algorithm approach is presented for converting inverse synthetic
aperture radar images of targets into scatterer models. The models produced
are high fidelity and fast to process. Results are given that demonstrate the generation
of a model from real data using a desktop computer.
Realistic models are used to investigate the effects of target fidelity on the
missile performance. The results of the investigation allow the model complexity
to be traded against the fidelity of the representation to optimise simulation speed.
Finally, a realistic target model is used in a feasibility study to investigate the
potential use of glint for target manoeuvre detection. Target glint is considered as
noise in conventional missile systems and filtered to reduce its effects on the
tracking performance- The use of glint for target manoeuvre detection would
provide a cheap and novel alternative to the optical techniques currently being
developed. The feasibility study has shown that target manoeuvre detection using
glint may be as fast as optical techniques and very reliable.|
|Appears in Collections:||PhD, EngD, MPhil and MSc by research theses - Cranfield Defence and Security, Shrivenham|
Items in CERES are protected by copyright, with all rights reserved, unless otherwise indicated.