Kalman Filtering for Hobby Rocketry Altimeters

  • Context: Undergrad 
  • Thread starter Thread starter krazykarl
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SUMMARY

The discussion focuses on developing an altimeter for hobby rocketry that utilizes Kalman filtering to accurately detect the rocket's apogee using a pressure sensor. The user seeks guidance on implementing Kalman filtering techniques specifically for this application, as general resources have proven insufficient. The Wikipedia article on Kalman filters is referenced as a comprehensive resource for understanding the theory behind the technique.

PREREQUISITES
  • Understanding of Kalman filtering principles
  • Familiarity with pressure sensor technology
  • Basic knowledge of hobby rocketry
  • Proficiency in programming for sensor data processing
NEXT STEPS
  • Research specific Kalman filter implementations for sensor data smoothing
  • Explore pressure sensor calibration techniques for accurate altitude measurement
  • Study hobby rocketry apogee detection methods
  • Learn about integrating Kalman filters in embedded systems programming
USEFUL FOR

Hobby rocketry enthusiasts, engineers developing altimeters, and anyone interested in applying Kalman filtering techniques to sensor data for precise measurements.

krazykarl
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I am working on developing an altimeter for hobby rocketry applications. The altimeter needs to be able to detect the rocket's apogee very accurately as it occurs (it will be using a pressure sensor to determine the altitude) the data from the pressure sensor will, however, have noise in it, that's where the kalman filtering comes in. I've found a few websites that talk about some general techniques of using kalman filtering but i have been having trouble finding how to use it in my application. any help that anyone might be able to offer would be greatly appreciated.

thanks guys
 
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