Multi-Carrier Peak-to-Average Ratio Suppression and Data Quality Assurance Algorithm Based on Multi-Filter Bank

Due to the severe limitation of the power of load platforms such as satellites, drones, and the Internet of Things, in order to be able to use OFDM to improve spectrum utilization efficiency and access to large-scale users, how to control OFDM's high PAPR(peak-to-average ratio) has become a communication industry Research hotspots. The signal distortion technology suppression method uses a filter to suppress or truncate parts with peak ratios that are too high, resulting in an increase in the signal EVM and an increase in BER (bit error rate). This paper first builds a multi-carrier signal transmission model, and analyzes the peak-to-average ratio and the degree of signal quality distortion of the multicarrier signal. On this basis, a multi-carrier modulation method based on a multi-filter bank is designed to specifically suppress the power of each sub-carrier, and then the sub-carriers are superimposed on this basis, so that the information of each subcarrier is saved, and suppress the excessively high peak-to-average ratio after subcarrier superposition. Build a multicarrier communication environment in MATLAB and verify the performance advantages of the modulation method in this paper on PAPR and EVM.