Radar high-resolution one-dimensional range profile target identification method and system based on double parallel networks

Abstract

The invention belongs to the field of radar target recognition, and particularly relates to a radar high-resolution one-dimensional range profile target recognition method and system based on a double parallel network, and the method comprises the steps: constructing a target recognition model, and carrying out the training optimization of the model through employing the actual measurement data of a preset waveband broadband radar test field as sample data, the model comprises two branch networks which are parallel to each other and are used for carrying out extraction and mapping classification on correlation characteristics of an input radar high-resolution one-dimensional range profile data sequence, a fusion layer used for carrying out data weighted fusion on output of the two branch networks, and an output layer used for carrying out classification identification on an output sequence after weighted fusion. And identifying a high-resolution one-dimensional range profile target in a to-be-detected range by using the trained and optimized target identification model. According to the method, multi-channel coding is carried out on the HRRP sequence data to extract features, the robustness of a network model can be further improved through weight adjustment, the target recognition accuracy is improved, and the method is convenient for actual scene application.

Description

technical field [0001] The invention belongs to the field of radar target recognition, in particular to a radar high-resolution one-dimensional range image target recognition method and system based on a dual parallel network. Background technique [0002] Radar High-Resolution Range Profile (HRRP) is the projection vector sum of the echoes received in the radial direction of the radar after the signal emitted by the broadband radar is scattered by the target. HRRP contains the structure distribution information of the target scattering points in the radial direction of the receiving antenna. Through analysis, the size and structure of the target itself and the parameters of the distribution of the equivalent scattering center can be obtained. It is an important data source for target recognition and classification today. SAR images have rich information about the two-dimensional structure of the target, but imaging requires the accumulation of a certain rotation angle of th...

AI Technical Summary

Problems solved by technology

The above method regards the HRRP data as a combination of independent distance unit callback sequences, and does not consider the correlation between the sub-echoes received by the radar, which in turn affects the target recognition effect.

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