中圖分類號： TN92 文獻(xiàn)標(biāo)識(shí)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(jīng)網(wǎng)絡(luò)的智能認(rèn)知頻譜預(yù)測技術(shù)研究[J].電子技術(shù)應(yīng)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
Chi Wensheng1,，2,，Yuan Dan1，Xiao Zonghao3
1.Equipment Management and UAV Engineering College,，Air Force Engineering University,，Xi′an 710051，China,； 2.College of Electromechanical Engineering,，Xidian University,，Xi′an 710071，China,； 3.Graduate College,，Air Force Engineering University，Xi′an 710051,，China
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
