Radar radiation source individual identification system based on radar pulse sequence

Abstract

The invention discloses a radar radiation source individual identification system based on a radar pulse sequence. The radar radiation source individual identification system comprises a radar individual pulse sequence database, a data preprocessing module, a different individual weight calculation module, a weighted extreme gradient lifting radar individual modeling module, a radar individual identification module and a radar individual identification final result calculation module. According to the invention, individual identification of the radar radiation source is realized based on the radar pulse sequence. In the radar radiation source individual identification system based on the radar pulse sequence, an original pulse sequence is used as input, wavelet decomposition is performed on the original radar pulse sequence, so that multi-scale input can be obtained. More distinguishable subtle features are mined, a weighted ensemble learning algorithm is adopted to establish a radar radiation source individual recognition model, the problem that the number of radar individual samples in a database is unbalanced can be solved, and meanwhile the method has the advantages of being high in feature extraction capacity, high in accuracy, high in modeling speed and the like.

Description

technical field [0001] The invention relates to the field of radar radiation source identification, in particular to a radar radiation source individual identification system based on radar pulse sequences. Background technique [0002] Due to the discrete components of the transmitter and the inconsistency of the manufacturing process of the individual radar radiation source, there will be electronic component tolerances in all components of the wireless transmitter such as the printed circuit board wiring, the internal component wiring of the integrated circuit, and the antenna. , so as to form radio frequency characteristics. Different individuals will always have some inconsistencies. These inconsistencies will eventually be reflected in the signals emitted by the radar. By extracting the subtle features in the signals, different radar individuals can be distinguished. Complex electronic systems and complex electromagnetic systems The objective existence of the environme...

AI Technical Summary

Problems solved by technology

[0004] In view of the fact that there are few researches on the identification of individual radar emitters, and the current individual methods of radar emitters have problems such as insufficient ability to extract subtle features, need for ideal assumptions, and low recognition accuracy, the purpose of the present invention is to provide a feature The radar emitter individual recognition system with strong extraction ability, high accuracy, sample balance ability and strong robustness realizes the individual recognition of radar emitters based on radar pulse sequence. In addition to using the original pulse sequence as input, the original radar pulse The sequence is decomposed by wavelet to obtain multi-scale input, and more distinguishable subtle features are mined, and a weighted integrated learning algorithm is used to establish a radar emitter individual recognition model, which can overcome the problem of unbalanced number of radar individual samples in the database, and has feature extraction. Strong ability, high accuracy, fast modeling speed, etc.

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