This paper presents a compression method for inertial and magnetic sensor data, where the compressed data are used to estimate some states. When sensor data are bounded, the proposed compression method guarantees that the compression error is smaller than a prescribed bound. The manner in which this error bound affects the bit rate and the estimation error is investigated. Through the simulation, it is shown that the estimation error is improved by 18.81% over a test set of 12 cases compared with a filter that does not use the compression error bound.
Suh, Y. S. (2009). Inertial and magnetic sensor data compression considering the estimation error. Sensors, 9(8), 5919–5932. https://doi.org/10.3390/s90805919