Wireless channel selection optimization method based on machine learning

The invention belongs to the technical field of radio tuning, and particularly relates to a radio channel selection optimization method based on machine learning. A machine learning method is introduced into the technical field of radio tuning, switching frequency and signal quality are taken as performance indexes, three channel selection logics of an included angle, a distance and an ANP value are comprehensively considered, and weight vectors of the three channel selection logics are taken as training indexes. On the flight route, training is carried out through a flight plan and a navigation database, and an optimized weight combination is obtained and serves as a final training result. The selected navigation station has better signal quality and durability; the operation burden of the crew is greatly reduced, and the channel selection efficiency is improved; the universality is high, and the method can be self-adaptive to various air routes and various navigation station forms; automation and intelligen