Interference source individual identification method based on phase noise characteristics

An identification method and technology of interference sources, applied in the field of target identification, can solve problems such as signal difference

Inactive Publication Date: 2021-08-03
BEIJING INSTITUTE OF TECHNOLOGYGY +1
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  • Abstract
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Problems solved by technology

In this nonlinear modulation state, it will cause different degrees of distortion when different devices of the same model modulate the signal, resulting in subtle differences between the signals

Method used

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  • Interference source individual identification method based on phase noise characteristics
  • Interference source individual identification method based on phase noise characteristics
  • Interference source individual identification method based on phase noise characteristics

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Embodiment 1

[0039] Due to the non-ideal factors of various components inside the radar transmitter, the envelope waveform fingerprint characteristics of subtle differences between individual radar signals are caused. The pulse envelope waveform is no longer an ideal rectangle, but contains rich nonlinear features. The performance is: the rise time of the pulse will become longer; the top of the pulse will fall; the fall time will become longer. Using the phase noise fingerprint feature can realize the individual identification of the interference source, the process is as follows figure 1 shown.

[0040] The phase noise in the oscillator is the incidental modulation in the unintentional modulation characteristic of the radar signal, which will cause the shift value of the signal frequency. The nonlinear transmission process of the oscillator itself is the main reason for the phase noise of the radar transmitter. The phase noise of the oscillator mainly includes: the noise of the oscilla...

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Abstract

The invention relates to an interference source individual identification method based on phase noise characteristics, and belongs to the technical field of target identification. The method comprises the steps: step 1, establishing a radar active interference signal model and obtaining an active interference signal; step 2, preprocessing the active interference signal to obtain a preprocessed interference signal; step 3, performing first feature extraction and feature dimension reduction on the preprocessed interference signal to obtain a signal after first dimension reduction; step 4, performing classification identification on the signal after primary dimension reduction obtained in the step 3, and outputting an interference type; step 5, aiming at deceptive interference, extracting phase noise characteristics of the deceptive interference; step 6, performing secondary feature extraction and feature dimension reduction on the phase noise characteristics to obtain a signal after secondary dimension reduction; and step 7, performing classification identification on the signal after secondary dimension reduction obtained in the step 6, and outputting an interference source type of deceptive interference. According to the method, the phase noise features based on radiation source signal envelope have differential fine features, and the method has universality, stability, uniqueness and testability.

Description

technical field [0001] The present application relates to a method for identifying individual interference sources based on phase noise characteristics, which belongs to the technical field of target identification. Background technique [0002] Radar interference pattern recognition means that when the radar is affected by the interference signal, it extracts the characteristics of the signal and judges it, so as to know the type of the unknown interference signal, so as to facilitate the subsequent adoption of corresponding anti-interference measures to ensure the normal operation of the own radar. The traditional radar interference identification method, one is based on the obtained prior information, using the knowledge of probability to establish a statistical model, combined with the observation of the radar display interface by the radar operator, and relying on subjective experience to judge the type of interference. The essence of this method is The above is a maxim...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/02G01S7/41
CPCG01S7/021G01S7/414G01S7/418
Inventor 董健刘利民傅雄军赵喜宋瑶罗彬珅孟宪鹏谢民卢继华杜慧茜郎平秦睿
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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