Tri-Adaptive Method for Improving the Resolution of MEMS Digital Sensors

Abstract

The micro-electromechanical systems (MEMS) digital sensors have been widely used in various fields, e.g., industrial application, navigation and positioning, etc. In order to make full use of the resolution of a sensor, people tend to choose the lower range, which often leads to the out-of-range problem. In fact, it is a tradeoff among resolution, range, and efficiency. It is possible to optimize two of these, but difficult to optimize all three. Therefore, a tri-adaptive method, i.e., adaptive range, adaptive sampling frequency, and adaptive output frequency, is proposed in this paper. We set up two test platforms based on the two common MEMS digital sensors: MPU6050 and MPU9250. The turntable experiments and numerical simulation experiments are conducted to verify the performance of the proposed method. The results show that the proposed method can significantly improve resolution based on the tradeoff among resolution, range, and efficiency. Besides, the proposed method is of generalization, which can be applied in industrial robots, medical electronics, and other fields.