Results 251 to 260 of about 103,056 (292)

One-Shot HRRP Generation for Radar Target Recognition

IEEE Geoscience and Remote Sensing Letters, 2022
Insufficient data of a noncooperative target seriously affect the performance of radar automatic target recognition (RATR) using the high-resolution range profile (HRRP), especially when the noncooperative target has only one sample. To this end, we propose an unsupervised data generation method to generate noncooperative HRRP signals.
Liangchao Shi, Zhehan Liang, Yi Wen 0003, Yihong Zhuang, Yue Huang 0001, Xinghao Ding   +5 more
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Reconstruction and recognition of the radar target image

5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service. TELSIKS 2001. Proceedings of Papers (Cat. No.01EX517), 2002
A method for generating the spatial image of several types of jets is presented. The method consists in applying the Radon transform to a data set containing discrete values of the frequency characteristic of the objects under study, for several illumination angles. A Matlab program was developed for image reconstruction.
L. Anton, S. Pican
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CMAC-based radar target recognition

Proceedings 2011 International Conference on System Science and Engineering, 2011
Radar plays a crucial role in the modern electronic warfare. The identification of radar types, parameter information, platform features, and operation conditions all contribute to a commander's decision-making process. However, as a traditional electronic intelligence reconnaissance system (ELINT) relies on merely one single platform with built-in ...
Y.W Teng, Leh Luoh, Pei Pei Lin
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Radar target recognition by probabilistic filtering

SPIE Proceedings, 2004
The paper presents a new method of probabilistic filtering for radar target recognition. The classical Bayesian detector/estimator suffers from the insufficient information about target signature probability distributions and their a priory appearance probabilities. If the number of radar image objects to be classified is not known exactly the appeared
Anatoliy V. Popov, Oleksiy Pogrebnyak
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Statistical Modeling With Label Constraint for Radar Target Recognition

IEEE Transactions on Aerospace and Electronic Systems, 2020
Motivated by the problem of radar target recognition, we develop a label-aided factor analysis (LA-FA) model for statistical modeling of high-resolution range profile (HRRP) under the prerequisite that the HRRP data are Gaussian distributed. The LA-FA model is the extension of the multitask learning-based factor analysis (MTL-FA) model, which is mainly
Lan Du 0001, Jian Chen 0034, Jing Hu, Yang Li, Hua He   +4 more
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New rotation-invariant features for radar target recognition

Signal Processing, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jacob Spoelstra, Elizabeth C. Botha
openaire   +2 more sources

Application of function link net to recognition of radar targets

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
This paper studies the mechanism for classification of feedforward neural networks from the geometric viewpoints. It is pointed out that the multilayer perceptron networks (MLPNs) realize hyperplane divisions in the pattern space, and the FLN realize hypercurved divisions.
Deshuang Huang, Erke Mao, Yueqiu Han
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Basic Study of Navigator's Recognition of Radar Target Direction

2006 IEEE International Conference on Systems, Man and Cybernetics, 2006
The radio detection and ranging (radar) is one useful instrument which a navigator uses to attempt safe navigation in poor visibility and night navigation. In the case of poor visibility and/or many similar targets in a close area, navigators sometimes make an error in recognizing the direction when they find the target in the landscape from radar ...
Koji Murai, Yuji Hayashi, Laurie C. Stone, Seiji Inokuchi   +3 more
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Recursively partitioning neural networks for radar target recognition

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003
Conflicting information in the training data is responsible for most of the problems experienced by the backpropagation algorithm during network training. The self-partitioning neural network (SPNN) approach has been shown to be effective in overcoming the ill effects of learning conflict that exists among the patterns of a given class.
Ted Kerstetter, Stoney Massey, Joe Roberts   +2 more
openaire   +1 more source

Problems in airborne radar target recognition

Inverse Problems, 1994
A brief overview of techniques which can be applied to the problem of radar-based classification and recognition of airborne targets from airborne platforms is presented. Of particular interest are applications of radar tracking and identification methods to small airborne missile systems.
openaire   +1 more source