Single-pulse multi-target super-resolution angle measurement implementation method based on sparse array radar

Abstract

The invention provides a single-pulse multi-target super-resolution angle measurement implementation method based on a sparse array radar. The method comprises the steps of: performing one-dimensional range profile constant false alarm detection on target echo signals of multiple channels of a monopulse sparse array radar to obtain array signals of distance units where each target is located, and constructing angle observation vectors of the targets according to the array signals of the distance units where the targets are located; constructing an angle measurement dictionary matrix by using the working parameters of a sparse array radar system, and constructing an angle observation matrix according to the angle measurement dictionary matrix and the working parameters of the sparse array radar; and based on the angle observation vector and the angle observation matrix of the target, performing reconstruction imaging on the phase delay vectors of different targets by using an optimization algorithm to realize multi-target super-resolution and angle measurement of the target echo signals. According to the method, angle resolution and accurate measurement can be carried out on the plurality of targets with similar distances and angles in beams from radar monopulse echo data.

Description

Technical field[0001]The present invention relates to the field of radar signal processing, and more particularly to a single pulse multi-target super-distinguishing angle of a thin pulse array radar.Background technique[0002]Array radar has a wide range of applications in the field of target detection. In radar detection techniques, due to the distance resolution restriction of the target, the angle resolution is constrained by the radar beam width, and therefore, the high resolution technology of intensive multi-objective is a difficult point in the field of radar detection.[0003]Currently, the objective detection and angular angle method based on array radar in the prior art mainly has a constant deficiency alarm detection technology based on one-dimensional distance, and an array-based beam scanning method. The above objective detection and anglerance method has a certain disadvantage in intensive multi-objective detection. A plurality of target distinguishing techniques based o...

AI Technical Summary

Problems solved by technology

The above target detection and angle measurement methods have certain shortcomings in dense multi-target detection

The constant false alarm detection technology based on the one-dimensional range image cannot realize the resolution of multiple targets with similar distances in the beam; the array-based beam scanning method cannot accurately measure multiple targets with similar angles, when the distance between multiple targets is less than When the interval between a distance unit and the angular interval is less than the half-power beam width, none of the above methods can correctly distinguish and accurately measure multiple targets in space.

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