Weak target detection method and weak target detection system under background of sea clutter

Abstract

The invention belongs to the technical field of radar detection, and provides a weak target detection method and a weak target detection system under the background of sea clutter. The method comprises the following steps: using a sea clutter signal in a known state as data of a training sample, extracting at least two feature vectors of the training sample, and fusing the at least two feature vectors into a first joint feature vector; training a detection system to make the training sample detection accuracy of the detection system reach an ideal value; and solidifying the parameter values of the detection system for training, and transferring the parameters to a test detector to judge the state of unknown sea clutter data, wherein only one training process is needed. According to the invention, approximate entropy is used as a feature vector for describing the characteristics of sea clutter, and the detection accuracy for sub target units is improved.

Description

technical field [0001] The invention belongs to the technical field of radar detection, and in particular relates to a weak target detection method and system under the background of sea clutter. Background technique [0002] Radar uses the reflection phenomenon of the target to electromagnetic waves to find the target and determine the position of the target. The radar detection technology of sea surface targets is widely used in port traffic, sea wave monitoring, sea disaster and air disaster search and rescue, etc., but the existence of sea clutter directly affects the detection ability of radar on sea surface targets, especially weak sea surface targets cannot be accurately detected. [0003] The prior art proposes a sea surface target detection method based on a Support Vector Machine (Support Vector Machine, SVM). The implementation principle of this method is as follows: first, normalize the input sea clutter sequence, extract the decorrelation time feature vector of...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a weak target detection method under the background of sea clutter, aiming to solve the problem that the existing SVM-based sea target detection method has low detection accuracy of secondary target unit echoes, that is, it cannot be accurately eliminated Secondary target echo interference, accurate detection of the primary target

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