1) radar target classification 雷达目标分类2) radar multitarget resolving 雷达多目标分辨 1. Combined with the basic principle and method of the radar multitarget resolving,the application of time frequency analysis is discussed for nonrigid multitarget resolving. 从雷达多目标分辨的基本原理和方法...
This example presents a workflow for performing radar target classification using machine and deep learning techniques. Although this example used synthesized data to do training and testing, it can be easily extended to accommodate real radar returns. Because of the signal characteristics, wavelet...
Target classification from the returned echo signals is one of the challenging problems in modern RADAR systems. The key feature that is used for target classification is the Radar Cross-Section (RCS). The recent advancements in the field of machine learning techniques gave interesting results for ...
The paper deals with Radar Target Classification based on the use ofa neural network. A radar signal was acquired from the output of a Jfrequency band noncoherent radar. We applied the three layer feedforward neural network using the backpropagation learning algorithm. Wedefined classes of radar ...
This paper presents experimental results of extracting features in the Radar Target Classification process using the J frequency band pulse radar. The feature extraction is based on frequency analysis methods, the discrete-time Fourier Transform (DFT) and Multiple Signal Characterisation (MUSIC), based ...
we propose hybrid features-based efficient radar target classification using support vector machine (SVM), wherein the combination of the target signatures is considered together. The multi-aspect target signatures include kinematic parameters (KP) of the target which are obtained using robust interactive...
The main challenge in analyzing the results of persistent scatterer techniques is to associate each coherent radar reflection to a real-world object, referred to as target type classification. In recent years different methods to perform target type classification were studied. In this paper we propos...
SAR Target Classification Using Deep Learning Create and train a simple convolution neural network to classify SAR targets using deep learning. (Radar Toolbox) Select a Web Site Choose a web site to get translated content where available and see local events and offers. Based on your location, ...
The target classification system uses the doppler spectrum obtained from te radar echo signals, with suppression of the spectrum components resulting from clutter and the velocity of the radar target, before classification of the target by analysis of periodic, spectral lines within the doppler spectrum...
Target classification by surveillance radar based on multifractal features基于多重分形特征的防空雷达目标分类方法 On basis of introducing the mathematical model of aircraft returns in the conventional radar, by means of the multifractal measure analysis, this paper ana... LI Qiusheng,XIE Weixin,李秋生,...