Research On Polar Code For UAV Communication

The polar code has been proposed theoretically by Prof.Arikan to reach the Shannon limit.Polar code is a new star for channel coding.It has the characteristics of simple coding,low decoding delay,and good error correction effect.Polar codes still have a certain degree of complexity in the coding and decoding,and the development of the traditional communication industry has encountered bottlenecks.With the explosion of artificial intelligence technology,it brings light to each field,and polar codes can therefore be combined with artificial intelligence.In the channel coding of UAVs,there is little research on polar codes.Integrating polar codes with UAVs has great scientific value.The main work of this dissertation is the study of polar codes.Aiming at the principle of constructing polar codes,a polar code encoding structure based on an arbitrary-dimensional kernel is proposed to satisfy the encoding of different rates.For traditional polar code reliability estimation algorithms,such as Monte Carlo algorithm,density evolution,and Gaussian approximation algorithm,a simple reliability estimation method,polarization weight method,is proposed to reduce the computational complexity.For the decoding of the polar code,combined with artificial intelligence,neural network decoding research,neural network decoding,no complex decoding mathematical algorithm,neural network training can be achieved after a simple,one-step decoding,and with hardware Friendly.In order to further improve the performance,neural network-assisted polar code BP decoding is used.In the end,using polar codes to UAV cooperative communication,a UAV cooperative communication model in which four groups of UAV carry a single antenna is described.This model achieves the diversity gain.Aiming at the UAV cooperative communication system,the channel polarization process of the UAV model was deduced,and the Polar-STBC UAV communication system was realized.This system can meet the communication of long distance or bad channel environment.