Low-resolution radar target recognition method based on wavelet transform

Abstract

The invention relates to a low-resolution radar target recognition method based on wavelet transform, and belongs to the technical field of radar target recognition. The method comprises the steps: initializing X=1; enabling a radar transmitter to transmit pulses; enabling a radar receiver to receive radar target echo data and building a flight; carrying out clutter suppression processing on the received radar echo data to obtain radar echo data after clutter suppression; carrying out wavelet packet decomposition on the radar echo data after clutter suppression processing, extracting frequency sub-band data, then extracting a feature vector and carrying out energy density normalization, and taking the obtained normalized energy density as the feature vector of an echo signal; and judging whether the target speed is less than 5 m / s, and classifying the shuffled radar target echo data by using a classifier 1 and a classifier 2 to obtain a target probability. According to the target identification method, the target identification probability can be effectively improved under the condition that the target is shielded.

Description

technical field [0001] The invention relates to a wavelet transform-based low-resolution radar target recognition method, which belongs to the technical field of radar target recognition. Background technique [0002] Radar target recognition technology can not only detect and warn targets, but also provide information such as target categories to assist in the execution of important combat tasks such as precise strikes on combat targets. Radar target recognition technology plays a very important role in many military fields involving national security, such as precision guidance, anti-missile and anti-defense, and air intelligence. [0003] The recognition of ground targets and low-altitude targets is one of the important measurement tasks of low-resolution radar systems. When radar monitors ground targets and low-altitude targets, due to the influence of occlusion and other problems, the accuracy of target recognition is poor. The accuracy of target recognition is one of...

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Problems solved by technology

[0007] 3) Aircraft target recognition algorithm based on BP neural network. This method aims at the problem of low recognition rate in template matching and other methods in aircraft target recognition, and proposes an aircraft target recognition algorithm based on multi-layer BP neural network.

[0010] The above literature does not involve how to improve the recognition rate of the target under occlusion, which has also become the goal of this application

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