Drellayan / Radar-HRRP-dl

Radar HRRP classfication deep learning

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Content Intro

This repository contains some different ways of methods personal uesd to realize the radar HRRP target classfication. Including CNN 、2channel CNN、DAE、SDAE based on tensorflow frame work and python.

Guide

folder and its content

CNN - Convolutional neural network

DCNN - Double channel convolutional neural network

DAE - Denoise autoencoder

SDAE - Stacked denoise autoencoder

About data

Sample data are given:

Train_hrrp.mat —— struct:{name=aa} train data, created by Matlab, will be loaded as a structure by python, the data format is [row = sample, col = data], data = [onehot labels(x3) , HRRP data(x256)]

Test_hrrp.mat —— struct:{name=bb} test data, created by Matlab, will be loaded as a structure by python,the data format is [row = sample, col = data], data = [onehot labels(x3) , HRRP data(x256)]

Contact me

feel free to contact me

My name is Alex (or Zikun Xu)

My mail :zikun19961215@foxmail.com QQ:854587355

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if you find my share useful and helpful, please star me, thank you.

About

Radar HRRP classfication deep learning


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Language:Python 100.0%