Target Detection Method Based on Ground Surveillance Radar Spectrum Data

Abstract

The invention discloses a target detection method based on spectrum data of a ground surveillance radar. The method comprises the following steps of: obtaining spectrum data information processed by the front end of the radar; performing linear interpolation processing on the spectrum data information to obtain spectrum data information after linear interpolation processing; performing two-dimensional constant false alarm rate processing on the spectrum data information after linear interpolation processing to obtain the spectrum data information of a target; performing a ground clutter filtering process on the spectrum data information of the target to obtain the spectrum data information of the target after the ground clutter filtering process. The target detection method based on the spectrum data of the ground surveillance radar adopts linear interpolation processing, reduces the influence of fixed strong clutter on zero channel and nearby channels of zero channel on low speed target, improves the discovery probability of slow target, and adopts two-dimensional constant false alarm rate to restrain clutter more effectively and improve the detection ability of the target.

Description

technical field [0001] The invention relates to the technical field of ground surveillance radar target detection, in particular to a target detection method based on ground surveillance radar spectrum data. Background technique [0002] The target detection method is to detect the echo information belonging to the target in the radar echo information, that is, the spectrum data information, and filter the background clutter and ground clutter, so as to achieve improvement in the subsequent point track processing process. The purpose of point track aggregation accuracy and improve track tracking quality. Therefore, choosing the optimal object detection method is crucial to accurately estimating the object parameters. [0003] The traditional target detection method based on spectral data directly performs one-dimensional constant false alarm rate processing, without considering the influence of fixed strong clutter on the zero channel and the channels near the zero channel,...

AI Technical Summary

Problems solved by technology

[0004] The traditional target detection method based on spectral data uses a single-dimensional constant false alarm rate to process the detection target, which reduces the authenticity of target detection and leads to false target detection; Wavelet filtering processing, resulting in the deviation of the estimated target parameters in the subsequent point trace aggregation process

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