Results 231 to 240 of about 926 (278)

Transferring Learned Behaviors between Similar and Different Radios. [PDF]

Sensors (Basel)
Muller BP, Olds BE, Wong LJ, Michaels AJ.   +3 more
europepmc   +1 more source

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A new recognition system for radar emitter signals

Kybernetes, 2012
PurposeThe purpose of this paper is to develop a new recognition system for identifying advanced radar emitter signals (RES).Design/methodology/approachInitially, the framework of the new recognition system is outlined. Then, feature extraction using resemblance coefficient and wavelet packet decomposition, and feature selection based on quantum ...
Gexiang Zhang
exaly   +2 more sources

Fractal feature extraction of radar emitter signals

Asia-Pacific Conference on Environmental Electromagnetics, 2003. CEEM 2003. Proceedings., 2003
In this paper, a novel effective approach based on fractal theory is proposed to extract features of radar emitter signals. Box dimension and information dimension are used as classification features to recognize the types of intra-pulse modulation of radar signals.
Gexiang Zhang, Weidong Jin, Laizhao Hu   +2 more
exaly   +2 more sources

Feature Extraction Using Wavelet Transform for Radar Emitter Signals

2009 WRI International Conference on Communications and Mobile Computing, 2009
In this paper, an approach for intra-pulse feature extraction of radar emitter signals is proposed based on wavelet transform. On the basis of the multi-resolution characteristics of wavelet transform, two energy entropies, as a two-dimensional feature vector to reveal the difference of radar modulation signals, are respectively extracted from ...
Weidong Jin
exaly   +2 more sources

Envelope Extraction Algorithm for Amplitude Sorting of Radar Emitter Signals

2019 IEEE 2nd International Conference on Computer and Communication Engineering Technology (CCET), 2019
The sorting accuracy of the radar emitter signal-sorting algorithm is reduced in a complex electromagnetic environment. In view of this problem, we proposed an envelope extraction algorithm for amplitude sorting of radar emitter signals in this paper.
Wenting Yang
exaly   +2 more sources

Feature extraction using autocorrelation function for radar emitter signals

Proceedings of 2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, 2011
In this paper, an approach for intra-pulse feature extraction of radar emitter signals is proposed based on the autocorrelation function (ACF) for first differencing. The envelop features, which can highlight the differences in modulation information of radar emitter signals, are extracted from autocorrelation function of first difference ...
null Chen Taowei, null Li Chunhong, null Sha Li, null Yu Zhibing   +3 more
exaly   +2 more sources

A Recognition Method For Radar Emitter Signals Based on EEMD and EfficientNet

2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2020
Aiming at the weak representation ability under low signal noise ratio (SNR) in radar emitter signals recognition, a recognition method based on Ensemble Empirical Mode Decomposition (EEMD) noise reduction and EfficientNet is proposed. First, the appropriate EEMD parameters to denoise the time domain signals and Ambiguity Function Contour Map of ...
Bing Luo, Lihua Wu, Yuan Yuan, Rui Lu
exaly   +2 more sources

Radar Emitter Signal Detection with Convolutional Neural Network

2019 IEEE 11th International Conference on Advanced Infocomm Technology (ICAIT), 2019
In this paper, we propose a deep convolutional neural network (CNN) based automatic detection algorithm for recognizing radar emitter signals. The algorithm leverages on the structure estimation power of deep CNN and the capability of time-frequency image processing for radio signal representation.
Zhenrong Liu, Yankun Shi, Yuan Zeng 0001, Yi Gong 0001   +3 more
openaire   +1 more source

Radar emitter signal recognition based on atomic decomposition

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
In this paper, a novel approach based on Gaussian Chirplet Atoms is presented to automatically recognise radar emitter signals. Firstly, based on the over-completed dictionary of Gaussian Chirplet atoms, the improved matching pursuit (MP) algorithm is applied to extract the features of the time-frequency atoms from the typical radar emitter signals ...
Ming Zhu, Weidong Jin, Laizhao Hu
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A novel approach for radar emitter signal recognition

The 2004 IEEE Asia-Pacific Conference on Circuits and Systems, 2004. Proceedings., 2005
To enhance recognition rate of radar emitter signals (RESs) to meet the requirements of modem electronic warfare, a novel approach is proposed to recognize automatically different RESs. The main points of the introduced approach include resemblance coefficient feature extraction and support vector machine classifiers. Experimental results show that the
null Gexiang Zhang, null Laizhao Hu, null Weidong Jin   +2 more
openaire   +1 more source