A New Approach of FIFO-based Kalman Filting
Shi Qian Han · Development & Innovation of Machinery & Electrical Products · 2012
In the process of sensors' data collection,signals are inevitably influenced by internal noise from the sensor(noise from the sensor components and circuitry) and external noise(noise caused by temperature electromagnetic radiation etc.).In view of this situation,except for improving the sensor structure and the signal processing circuit,a new algorithm is designed,which is combined with a recursive filtering algorithm based on the average synchronous FIFO and a Kalman filter algorithm to be used in the pre-processing sensor data acquisition process,and applied with FPGA.The results show that the algorithm effectively reduces the noise and improves the sensor's nonlinearity and measurements' accuracy and effectiveness.