Communication link environmental parameter data acquisition system based on Kalman filter algorithm

The traditional acquisition process of environmental parameters is easily affected by environmental noise, which leads to prolonged data transmission time and low data integrity. To solve this problem, with the STM32 processor adopted, the alarm circuit was used to avoid the problem of too large or too small data collection, and then the anti-interference design of the system was realized through the configuration of decoupling capacitor and the design of ground wire, so as to reduce the data transmission delay. Based on this, Kalman filtering algorithm could be used to restore the performance of real data, remove the environmental noise of communication link, and realize complete parameter acquisition. The experimental results show that the data transmission delay of the system in this paper can be kept below 15 s and the effective integrity of the parameter data is always not less than 0.96 regardless of single hop or multi hop transmission.