中圖分類號： TN92
文獻標識碼： A
DOI：10.16157/j.issn.0258-7998.200749
中文引用格式： 遲文升，袁亶，肖宗豪. 基于BP神經網絡的智能認知頻譜預測技術研究[J].電子技術應用，2021，47(1)：64-68.
英文引用格式： Chi Wensheng，Yuan Dan，Xiao Zonghao. Research on intelligent cognitive spectrum prediction technology based on BP neural network[J]. Application of Electronic Technique，2021，47(1)：64-68.

Research on intelligent cognitive spectrum prediction technology based on BP neural network

Abstract： In order to make the spectrum access of communication users more effective and enhance the flexibility of spectrum utilization in time domain and space domain, this paper firstly introduces the process of BP neural network learning with the steepest descent method, and makes mathematical modeling for the spectrum prediction algorithm of BP neural network. By learning and training the electromagnetic spectrum state in a period of time, this paper makes the algorithm model establish the cognitive relationship between the input data and the output results by adjusting the parameters. Then, the structure of BP neural network algorithm was changed, and the weights and thresholds were optimized, so that the accuracy of spectrum prediction data was closer to the actual value and the prediction error was reduced.

Key words : BP neural network；spectrum state；spectrum prediction