Research On Interference Recognition Technology And Its DSP Implementation

Interference signal recognition technology has been widely used in the field of modern communication anti-interference.In both military and civilian communications,interference types and parameters can be obtained through interference recognition techniques,and then corresponding suppression measures are taken to improve the performance of the communication system in the interference environment.In this paper,the recognition technology of typical suppressed interference signals is studied,and the recognition algorithm is verified based on DSP(TMS320C6670).The first chapter of the thesis introduces the research background of interference recognition technology,and introduces the development status of interference classification technology and parameter estimation technology,and briefly introduces the structure and main content of the article.In the second chapter,the paper mainly introduces the signal processing flow and DSP implementation platform of interference recognition technology,introduces the DSP(TMS320C6670)chip used in the implementation,and briefly introduces 11 kinds of interference signals involved in this study.The third chapter of the thesis studies the interference classification technology based on BP neural network.Firstly,the signal processing flow of interference classification is introduced,and then the key algorithms involved are described in detail,including: data preprocessing,feature extraction,and BP neural network classification algorithm.The effects of different window functions and sample numbers on classification performance are studied by simulation.According to the operation time of each feature,the DSP assigns different calculation tasks on subsidiary cores,and determines the DSP multi-core implementation structure.By comparing the performance results of MATLAB simulation with the performance of DSP,the correctness of DSP implementation is verified.The fourth chapter of the thesis mainly studies the interference signal parameter estimation technology.According to the interference classification results in Chapter 3,11 kinds of interference signals are classified into 4 categories,which are: single/multitone signal parameter estimation,linear frequency modulation signal parameter estimation,wide/narrowband signal parameter estimation,sinusoidal frequency modulation signal parameter estimation..The four kinds of parameter estimation algorithms are simulated respectively.On this basis,the parameter estimation algorithm is implemented by DSP,and the DSP operation time of the algorithm is given,which verifies the effectiveness of the algorithm implementation.The fifth chapter of this paper mainly introduces the application of interference recognition technology and its DSP implementation technology in the simulation system of channel selection in the UAV.The system is divided into three parts: signal acquisition module,frequency optimization module and ground station.The paper introduces the frequency optimization module based on interference recognition technology,gives the analysis method of spectrum quality,analyzes the quality of the test spectrum,and gives the DSP operation schedule.The sixth chapter summarizes the full text and conducts a brief forecast analysis of subsequent research.