Frequency-Hopping Frequency Reconnaissance and Prediction for Non-cooperative Communication Network  

作　　者：Gao Li Wei Wang Guoru Ding Qihui Wu Zitong Liu 

机构地区：[1]Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space,Ministry of Industry and Information Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China [2]College of Communications Engineering,Army Engineering University,Nanjing 210007,China

出　　处：《China Communications》2021年第12期51-64,共14页中国通信（英文版）

摘　　要：The continuous change of communica-tion frequency brings difficulties to the reconnaissance and prediction of non-cooperative communication net-works.Since the frequency-hopping(FH)sequence is usually generated by a certain model with certain regularity,the FH frequency is thus predictable.In this paper,we investigate the FH frequency reconnais-sance and prediction of a non-cooperative communi-cation network by effective FH signal detection,time-frequency(TF)analysis,wavelet detection and fre-quency estimation.With the intercepted massive FH signal data,long short-term memory(LSTM)neural network model is constructed for FH frequency pre-diction.Simulation results show that our parameter es-timation methods could estimate frequency accurately in the presence of certain noise.Moreover,the LSTM-based scheme can effectively predict FH frequency and frequency interval.

关 键 词：non-cooperative communication network frequency-hopping frequency prediction LSTM 

分 类 号：TN914.41[电子电信—通信与信息系统]