Choice of computing platform for guidance system

AI Thread Summary
When selecting a computing platform for a guidance system focused on attitude estimation and control of a flying vehicle, key considerations include processing power, community support, and wireless programming capabilities. Options like Gumstix offer significant processing power, while Raspberry Pi is favored for its extensive hardware options, open-source software, and active community. Real-time operation is crucial for effective control algorithms, and there are concerns about achieving this alongside wireless functionality. TI DSPs and Code Composer Studio are noted for their capabilities but lack wireless operation. Ultimately, the choice of platform should balance performance with the ability to support mobile, wireless applications.
eichfeld
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I am just starting to learn about attitude estimation and control of a flying(or actually, a freefalling) vehicle. There will be inputs from accelerometers and gyroscopes, Kalman filtering to estimate the correct attitude and control algorithm to achieve the desired attitude.

I am still putting down the first things to paper, but I also need to think what computing platform will I be using when I start realizing the thing. The platform should obviously be powerful enough for all the number-crunching, it should have a community I can ask help from and since the vehicle will be highly mobile(flying!), I would prefer having wireless programming/debugging capabilities.

What would be your recommendations for this kind of platform?

Gumstix seems to be powerful. Is it possible to have a system what is real-time and also have wireless capabilities?

I like TI DSP's and Code Composer Studio and have access to Dev Kits and licensed CCS, but these things are not meant to operate wirelessly.
 
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I would use Raspberry Pi. Lots of hardware, open source software, and a community.
 

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