Aircraft target recognition method based on single frequency network passive radar

Abstract

The invention discloses an aircraft target recognition method based on a single frequency network passive radar. Micro Doppler modulation characteristics generated by an aircraft target rotating part (such as a rotor, a propeller or a jet engine) are used for target recognition. Firstly, two-dimensional cross correlation processing is carried out on signals of a reference channel and a monitoring channel, and thus target detection is realized; then, micro Doppler characteristics corresponding to each transmitting station are extracted from different distance unit positions on a range-Doppler spectrum; and finally, information fusion technology is used for carrying out decision level fusion recognition on multi-angle characteristics. Micro Doppler characteristics provided by each transmitting station in the single frequency network at the same time are combined, attitude sensitivity of the target micro Doppler characteristics is reduced, and recognition accuracy is thus improved.

Description

technical field [0001] The invention belongs to the technical field of external radiation source radar target detection, and relates to an aircraft target recognition method, in particular to an external radiation source radar aircraft target recognition method based on single frequency network digital broadcasting and television signals. Background technique [0002] External radiation source radar is a new system radar that uses electromagnetic signals emitted by a third party to achieve target detection and tracking. Foreign scholars widely pay attention to it. With the increasing popularity of digital broadcasting and television in the world and gradually replacing analog signals, external radiation source radar based on digital broadcasting and television signals has gradually become a research hotspot. In Wan Xianrong's paper (Development status and trends of external radiation source radar based on low-frequency digital broadcasting and television signals, Acta Radar...

AI Technical Summary

Problems solved by technology

According to the mechanism of the micro-Doppler effect, under the bistatic condition, due to the limitation of viewing angle, only the structure and motion characteristics of the target micro-movement parts in a certain line of sight direction can be extracted. Due to the complexity of the attitude change of the moving target, Under different radar viewing angles, its micro-Doppler characteristics will show significant differences, thus limiting the accuracy of target recognition

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