基于DRFM的抗干擾技術(shù)研究及其監(jiān)測(cè)系統(tǒng)設(shè)計(jì)
[Abstract]:With the development of radar information technology, the victory of future war depends on the ability of information countermeasure. Since its inception, electronic warfare, especially between radars, has been quite intense. All kinds of new types of weapons need radar to detect, interfere with and damage enemy radars and their weapon systems. Only by digging the data to the maximum extent and using the information obtained by radar system can the anti-jamming ability of radar be improved, and then the radar can adapt to the complex and changeable battlefield environment. On the basis of studying the characteristics and generation of DRFM noise suppression jamming and deceptive jamming, this paper carries out the corresponding anti-jamming simulation for each jamming mode, and designs a radar signal monitoring system. It is convenient and intuitionistic to monitor radar jamming signal and target echo signal. The main contents are as follows: (1) introduce the working principle of DRFM, then analyze the quantization mode of DRFM (that is, single channel amplitude quantization and quadrature double channel amplitude quantization), and analyze the DRFM storage mode (that is, full pulse storage). Model pulse storage and slow refresh rate pulse storage). Finally, the main indexes of DRFM interference are studied and its characteristics are analyzed. (2) the classification and generation of noise suppression jamming are introduced. The characteristics of amplitude modulation jamming and frequency modulation jamming are analyzed, and the process of producing these two kinds of interference signals are analyzed respectively. On this basis, the anti-amplitude interference of frequency cancellation and the anti-FM jamming algorithm of wavelet transform are studied. The feasibility of anti-jamming method is verified by simulation. (3) the principle of deceptive jamming of radar is briefly described, and the function of deceptive jamming to radar is analyzed, and then the main patterns of deceptive jamming are introduced briefly. Then, the SV-LFM signal and its characteristics are briefly analyzed. On this basis, the anti-range false target jamming algorithm and the range gate towing interference are studied, and the direct pulse compression matching method and the three-step matched filtering algorithm are emphatically studied. The feasibility of the algorithm is verified by simulation experiments. (4) according to radar anti-jamming, a monitoring signal system is designed. The environment is built by using .Net platform, and the general idea and structure of the system are introduced. The transmitted signals received by the radar are stored, and then the signal parameters obtained by parsing the XML file are displayed in the list or graph, which can be selectively monitored, and the signals that need further analysis can be stored in the database. You can quickly find the signal through the query tool, or you can put it back in a list or graph for playback. Finally, the feasibility of the radar signal monitoring system is verified based on the direct pulse pressure matching method to resist range deception jamming. After many debugging, the target signal is finally achieved and the jamming signal is suppressed. Finally, the algorithms of anti-noise suppression jamming and anti-deceptive jamming are verified by simulation, and compared with the test results of the radar anti-jamming signal monitoring system, it is further proved that the system is feasible and meets the requirements of anti-jamming.
【學(xué)位授予單位】:成都理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TN974
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