## Global Positioning System

Bradford W. Parkinson, James J. Spilker

Mentioned 1

This is the second volume in a two-volume set. The books explain the technology, performance and applications of the Global Positioning System (GPS) and each chapter is written by an expert in the field. This volume concentrates on applications.

Possible Duplicate:
Combine Gyroscope and Accelerometer Data

I have read a number of papers on `Kalman filters`, but there seem to be few good publically accessible worked examples of getting from mathematical paper to actual working code.

I have a system containing a three-axis accelerometer and a single gyro measuring rotation around one of the accelerometer axes. The system is designed to be held by a human, and much of the time the gyro will be measuring rotation about the gravity vector or close to it. (People working in the same industry will likely recognise what I am talking about from that ;)) I realise this is underconstrained.

The gyros appear to have a near-constant bias that is slightly different for each instance of the system. How would I go about coding a filter to use the accelerometer readings to calibrate the gyro at times when the system is tilted so the gyro axis is not collinear with gravity, and is being rotated about the gyro axis? It seems like there should be enough information to do that, but being told that there isn't and why would be an answer too :)

Given your interest in the kalman filter, perhaps you intend to augment GPS data with inertial measurements. About your question:

"How would I go about coding a filter to use the accelerometer readings to calibrate the gyro at times when the system is tilted so the gyro axis is not collinear with gravity, and is being rotated about the gyro axis? It seems like there should be enough information to do that"

This sounds like a gyrocompasing alignment. Assuming you are doing a factory calibration, and have the unit on a bench, you will be able to independently measure the alignment. Then run the leveling code you will write and back out the gyro bias error from the difference between the measure and gyrocompased alignments.

If you want to update gyro drift on-the fly, then you will need the kalman filter.

As far as implementation goes I recommend Chapter 7, GPS and Inertial Integration of Global Position System Theory and Applications vol 2 has excellent background on the topic. It has the theory and math, but no source code.

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