Communication radiation source individual identification method and system based on cooperation expression

Abstract

The invention discloses a communication radiation source individual identification method and system. According to the technical scheme, the method comprises the steps of: receiving communication radiation source signal, carrying out radio frequency preselection amplification, carrying out frequency mixing, carrying out intermediate frequency filtering, carrying out A / D conversion, carrying out digital orthogonal demodulation, carrying out rectangular integration double-spectrum transformation, dividing rectangular integration double-spectrum characteristic vectors into a training sample set and a testing sample set, constructing a rectangular integration double-spectrum characteristic dictionary, carrying out non-linear transformation, carrying out mapping to a cooperation projection matrix, constructing a classifier, obtaining classification residual errors, and using the type corresponding to the smallest classification residual error as type of a communication radiation source individual. According to the invention, a small sample problem in a communication radiation source individual identification process is solved, the time complexity of the algorithm is lowered, and the phase and amplitude information distortion problem in the process when an existing method based on the time domain, frequency domain or time frequency domain is used to process non-stable or non-Gaussian signals is adopted.

Description

Technical field [0001] The invention belongs to the field of information processing technology, and particularly relates to a method and system for identifying individuals of communication radiation sources. Background technique [0002] Due to the differences in the individual equipment of the communication radiation source, there are detectable and reproducible subtle features in the signal manifestation that do not affect information transmission. The subtle features that can express these differences are called the subtle features of the radiation source. In information and communication reconnaissance, by intercepting the radiation source signal, extracting subtle features, and establishing the subtle feature library of the radiation source, the individual identification of the radiation source is realized, and the individual properties, communication network composition, threat level, etc., are of great significance to interfere with the other party. . Aiming at the proble...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method and system for individual identification of communication radiation sources, which solves the problem of small samples in the process of individual identification of communication radiation sources, reduces the time complexity of the algorithm, and avoids the existing methods based on time domain and frequency. When dealing with non-stationary or non-Gaussian signals, the method of time-frequency domain or time-frequency domain has the problem of phase and amplitude information distortion

Images