Implementation and Experimentation of an Embedded Data Acquisition/Preprocessing System Based on a Hybrid Reconfigurable Hardware Accelerator for Inertial Measurements

The use of microelectromechanical systems' sensors is growing steadily since it is the cheapest way to get information about the inertial state of a moving object. However, preprocessing inertial data using hybrid reconfigurability is challenging. This article is an analysis of the noise generated by a multisensory data acquisition and preprocessing system that has been implemented to interface inertial sensors (particularly accelerometers and gyroscopes). A multichannel reconfigurable voltage attenuator (MRVA) based on the field-programmable analog array, an alternative to classical voltage dividers, has been created to interface the sensors with the field-programmable gate array. This article describes a hardware accelerator implementation of two calibration/denoising processes based on the moving average filters in order to select the best choice for the preparation of inertial measurement units data, where a precision of 99.72% was reached. The MRVA is interfaced via Xilinx analog-to-digital converter, where an intellectual property has been designed for hardware acceleration using Xilinx system generator.