A channel selection and power control method of UAV data link

In complex electromagnetic and natural environment, the reliability of unmanned aerial vehicle (UAV) data link is under serious threat. To solve the problem of channel selection and power control to ensure UAV communication quality, a new channel selection and power control method in combination with relevance vector regression (RVR) is proposed. This method builds mapping model among interference information, bit error rate (BER) and signal noise ratio (SNR) based on RVR. Through the model and real-time interference information, the minimum channel SNR meeting the BER requirements of UAV data link can be predicted, and then minimum transmitted power can be calculated. Channel quality is judged based on the minimum channel transmitted power. The method selects channel while determining transmitted power, and makes the process simpler, using the minimum channel power to realize anti-jamming. Simulation experiment shows that this method can select available channel and adjust power effectively, and restrain interference. The proposed method has low time and energy cost, and is practical.