Processing and Implementation of UAV Sensor Signal Noise based on FPGA

In high-frequency interference environments, the quality of communication signals for unmanned aerial vehicles (UAVs) is prone to degradation, affecting the reliability and stability of data transmission. Therefore, there is a need to design an effective filter to eliminate high-frequency noise. This paper employs FPGA technology to denoise UAV signals, with MATLAB used for the initial design and simulation of a Finite Impulse Response (FIR) filter. Filter parameters are adjusted to achieve optimal performance. The tap coefficients of the optimized filter are quantized and imported into the FPGA for processing. Test results indicate that the adoption of an FIR filter on the FPGA platform can effectively eliminate high-frequency noise in UAV communication signals, enhancing the reliability and stability of signal transmission.