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Study On Counter-countermeasures Of Information Jamming Of Air Surveillance Radar

Posted on:2018-05-03Degree:MasterType:Thesis
Country:ChinaCandidate:Z RanFull Text:PDF
GTID:2348330512989230Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
As an important battlefield intelligence access tool, air surveillance radar is an indispensable part of modern air defense system. Thanks to the advance of digital radio frequency memory (DRFM), accurate replication of radar signal is possible. Jammers can produce flexible and diverse information interference, making the radar can't accurately obtain the target information, which led the radar to make wrong judgment on the air intelligence and the battlefield situation. In order to ensure the operational capability and survivability of surveillance radar, it is urgent to study the countermeasures of information interference.In order to solve the problem of anti-jamming to radar information interference ,in this thesis, we first establish the mathematical model of information interference and analyze their interference effects, and then study the interference of information from two aspects: interference recognition and interference suppression. The main achievements and research contents are as follows.First, the research background and significance of this thesis is introduced. This thesis reviews the research trends of radar information interference and anti-jamming in recent years, and then analyzes the types of information interference that air surveillance radar faces, and clarifies the object of this thesis.Second, different types of radar information interference are introduced. And the modeling and simulation of a new main lobe dense false targets jamming is presented.The new main lobe dense false targets jamming are divided into two categories: time domain convolution dense false targets jamming and time domain product dense false targets jamming. The time domain, frequency domain and interference effect of each information interference are studied by simulation, which lays the foundation for further study.Third, the recognition method of new main lobe dense false target interference is studied. Based on the mechanism of interference generation and mathematical model,the different characteristics of various disturbances in frequency domain and time domain are analyzed. The spectral parameters such as spectral similarity, spectral entropy and additive white Gaussian noise factor are extracted in the frequency domain,and the time domain envelope fluctuation and skewness coefficient are extracted in the time domain. The feature vector is used to construct the eigenvector, and then the interference recognition is done by a clustering algorithm based on the fast peak search.Fourth, the suppression method of partial pulse-intensive replication interference and noise convolution jamming is studied. For the interference of partial pulse-intensive replication jamming, the interference suppression method based on cyclic demodulation and the interference suppression method based on interference reconstruction are studied. For noise convolution interference, the interference suppression method based on interference estimation is studied.Finally, countermeasure is studied for the noise FM interference. Firstly, the mathematic model of noise FM interference is established, and then the statistical characteristics of noise FM interference are analyzed. Finally, a broadband noise FM interference suppression method based on setting large signal to zero is studied.
Keywords/Search Tags:air surveillance Radar, ECCM, interference identification, interference suppression
PDF Full Text Request
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