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#6
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On Jan 22, 3:05*am, Chris Reed wrote:
noel.wade wrote: On Jan 21, 8:00 pm, Eric Greenwell wrote: There are a number of programs that do this, such as SeeYou, simulator software (Condor?), even commercial programs that reconstruct a flight from gps data for accident and other investigations. T2T (track to Eric - Yes I have. *The catch is that this project isn't mine; I'm volunteering my time for it. *And the people I'm working with don't want the end-result to be tied to any licensing fees or restrictions on use of the code. *sigh* *shrug* Thanks all, --Noel XC Soar is Open Source, which might work if the GPL restrictions wouldn't affect the exploitation of the project (this would require you to make any modified XC Soar code modules available under the GPS terms, but not *interfacing modules which would stay proprietary). I'd contact the Aerospace Engineering department at a university near you. Most graduate programs and some undergraduate ones have analytic tools they use to do optimal estimation for a state-space representation of aircraft. To do some of the things you are asking about I suspect you'd need a full 6 degree of freedom model. Depending on what the inputs are, you may not be able to fully estimate the aircraft state - there would be too many unknowns. For instance, because you don't have attitude information (none of the Euler angles), you wouldn't be able to cleanly distinguish between gusts displacing the aircraft and control inputs. You would likely need to assume coordinated flight and no wind gusts. Some simple Kalman filters should help, as Dave says. 9B |
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