Radar target identification method under noise background based on bispectrum de-noising

Abstract

The invention discloses a radar target identification method under a noise background based on bispectrum de-noising and the method is mainly used for solving the problems in the prior art that target identification is carried out by directly utilizing a distance image which is not de-noised under the noise background so that the identification rate is poor. The realization process comprises the following steps of: normalizing a training sample and extracting the power spectrum characteristic of the normalized training sample; utilizing a power spectrum characteristic training classifier of the training sample to obtain a weight coefficient of the classifier; utilizing a bispectrum de-noising method to carry out de-noising treatment on a testing sample and recover an average distance image which is de-noised, and normalizing the distance image; extracting a power spectrum characteristic of the normalized average distance image; and utilizing the trained classifier to classify the power spectrum characteristic of the normalized de-noised average distance image, and determining a target class mark number. The radar target identification method disclosed by the invention has the advantages of stabilizing noises and recovering the average distance image which is de-noised, and can be used for radar target identification.

Description

technical field [0001] The invention belongs to the technical field of radar and relates to a target identification method, which can be used to identify targets such as airplanes and vehicles under the background of noise. Background technique [0002] The high-resolution distance image is the vector sum of the target scattering point echo projected in the radar ray direction of the broadband radar signal, which can provide the approximate distribution of the target scattering point echo in the distance direction, which is of great value for target identification, so it becomes Research hotspot in the field of radar automatic target recognition. [0003] In practical applications, due to the randomness of the high-resolution range image in the distance window, the range image has a translation sensitivity problem, so the direct use of the range image recognition requires translation alignment. Commonly used range image alignment methods include sliding correlation method a...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a radar target recognition method based on bispectrum denoising in the background of noise, to solve the problem that the above-mentioned prior art cannot restore the average range image after denoising in the background of noise, which leads to the low recognition rate

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