CASL Technology
Surrey Downs
South Australia
SA 5127
Tel (+61) 8 8288 7528
(+61) 466 390 197

Simulation and Modeling

CASL has a long standing experience of simulation and modeling in the defence domain, both as simulation analysts and also developing the models and frameworks that are run.

CASL has primarily worked in RF simulation, developing multi-model, scenario based engagement simulators for the Anti-Air and Anti-Ship domain.

We have also had experience of integrating real hardware, such as seekers and autopilots, into simulations to provide the extra fidelity that can be obtained when needed.

Though our experience originally was with Ada based frameworks with Fortran and Ada models we have previously redeveloped these into C++ with associated performance and development process gains.

Steve, our lead software engineer, was responsible for moving the UK Ministry of Defences Naval Simulation Framework from Ada to C++, and at the same time from OpenVMS to Windows NT back in 2000.

More recently he provided experience and training to enable a local company to successfully develop a dynamic model for analysis of helicopter motion while on a ships deck.

If you are interested in RF simulation modeling then consider giving us a call to call on the 20 years of experience we have.

Why do modeling?

Modeling is a fantastic tool that can enable you to explore problem spaces that are difficult to achieve or costly to implement.

CASLs experience with missiles means we know the value of being able to try out performance from thousands of angles and thousands of variables.

Developing a modern seeker is more about the processing than about the RF stages. With the ability to design and develop new systems for thousands of dollars rather than millions modeling can't be beaten.

When not to do modeling

A fundamental misunderstanding of people not well versed in modeling is that it doesn't represent the real world exactly.

It's close, but never the same. You will often see people tweak their models to match some recorded real world results, which has merit, but ultimately doesn't improve your model as much as might be believed.

We would never run a model against a live system and expect the results to be the same unless it was only the simplest of things.