Analysis Of Comb Spectrum Signal Mechanism And The Influence On Frequency-hopping Communication System

In communication systems, frequency hopping communication system have beenwidely applied both in military field and civil communication field. Under the control ofsynchronous algorithm and pseudo random frequency hopping pattern, thecommunication users or equipments jump in the form of discrete frequency. Therefore,the FH communication system improves the anti-jamming performance at the expenseof frequency resource at the same time. The development of frequency hoppingtechnology promotes the development of FH jamming technology.According to the development and characteristics of frequency hoppingcommunication system, comb-spectrum signal is a potential threat signal as theinterference methods for the FH system, which may be used to produce an interferencemethod and reduce the anti-jamming ability. Therefore, based on the research of FHcommunication system and countermeasure technology, the comb spectrum signal isstudied in-depth, so as to improve the anti-jamming performance of FH communicationsystem. During the research, the comb spectrum signal generated with the saw-toothFM and noise FM has been proposed, and the simulation design and implementation arecompleted. Further, combining with the influence of comb spectrum signal on FHsystem, the anti-jamming performance of synchronization acquisition, tracking anddemodulation loop are analyzed, which regarded the channel interference ratio,interference suppression time ratio and the SNR as the core parameter configurations, aswell as the corresponding threshold of acquisition, tracking error and error rate areanalyzed. Based on the analysis and simulation, improved mechanism of FHcommunication system resisting comb spectrum signal interference is investigated andverified for providing reference to improve the anti-jamming performance of FHcommunication system.In order to meet the requirement of the application, using FPGA as the developmentplatform, the key components of comb spectrum signals are simulated, tested and analyzed, which provide technical foundation for collaborative test of anti-jammingperformance in FH communication system.