Research on data fusion algorithm for attitude detection systems based on MEMS and magnetoresistive sensors

The attitude detection system based on MEMS and magnetoresistive sensors is widely used in a variety areas. The magnetoresistive sensor acts as an auxiliary sensor to correct the measured value of MEMS inertial sensor. It is necessary to design an appropriate data fusion algorithm to process multiple sensor data. According to the output characteristics of each sensor, the data fusion algorithm take advantage of each sensor and reduce the unreliability of a single sensor in the measurement process to obtain the optimal attitude estimation. The performance of data fusion algorithm will affect the accuracy and stability of whole system. Focused and reviewed in this paper are the present situation and development trend of data fusion algorithm for attitude detection system based on MEMS and magnetoresistive sensors.