Results 251 to 260 of about 1,098 (282)

Radar Emitter Signal Recognition Based on Resemblance Coefficient Features

2004
Resemblance coefficient (RC) feature extraction approach for radar emitter signals was proposed. Definition and properties of RC were given. Feature extraction algorithm based on RC was described in detail and the performances of RC features were also analyzed. Neural network classifiers were designed.
Gexiang Zhang, Haina Rong, Weidong Jin, Laizhao Hu   +3 more
openaire   +1 more source

A new method for sorting unknown radar emitter signals

2008 9th International Conference on Signal Processing, 2008
Sorting unknown radar emitter signals is a difficult and urgent problem need to be addressed for current electronic countermeasures. Based on higher order statistics (HOS), sorting various modulated signals is implemented, and it has the advantage of suppressing Gaussian noise.
null Guowen Yu, null Jun Han, null Yan Mao   +2 more
openaire   +1 more source

Radar Emitter Signal Recognition Based on Feature Selection Algorithm

2004
Rough set theory (RST) was introduced into radar emitter signal (RES) recognition A novel approach was proposed to discretize continuous interval valued features and attribute reduction method was used to select the best feature subset from original feature set Also, rough neural network (NN) classifier was designed Experimental results show that the ...
Gexiang Zhang, Laizhao Hu, Weidong Jin
openaire   +1 more source

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 ...
Taowei Chen, Weidong Jin, Zhenxing Chen
openaire   +1 more source

Feature Separability Evaluation for Advanced Radar Emitter Signals

2012
For the realization of feature separability evaluation for advanced radar emitter signals (RES), the evaluation methods of feature separability of advanced radar emitter signals were proposed based on four kinds of measure. It reflects the within-class aggregation and class separation of the feature clustering through the maximum of within-class ...
Bin Zhu, Weidong Jin, Zhibin Yu, Meijun Duan   +3 more
openaire   +1 more source

Research of Radar Emitter Signal Model and Clustering Sorting Simulation

2020
At present, radar signal sorting has become a necessary radar signal processing step for early warning investigation and electronic countermeasures. The paper analyzes and studies the typical radar signals used in signal sorting. Based on this, the signal simulation and sorting experiments are carried out.
Wang Shiqiang, Gao Caiyun, Zeng Huiyong, Bai Juan, Zong Binfeng, Cai Jiliang   +5 more
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +1 more source

Analysis of Radar Emitter Signal Feature Based on Multifractal Theory

2007 8th International Conference on Electronic Measurement and Instruments, 2007
Fractal theory has applied to radar signal analysis, in which fractal dimensions such as Hausdorff dimension, box dimension, information dimension, similarity dimension, correlation dimension and so on always are used to depict the complexity of radar emitter signal.
Ye Fei, Yu Zhifu, Luo Jingqing
openaire   +1 more source

Radar emitter signal recognition based on time-frequency analysis

IET International Radar Conference 2013, 2013
The extraction of radar emitter identification is very important to distinct the correct target. Up to now, many corresponding methods are proposed. But most of it has the problems of low recognition rate and not adapting to low SNR environment. In the paper, a novel method is proposed. The approach utilizes time-frequency analysis methods and singular
L.B. Yang, B. Xiao, S.S. Zhang
openaire   +1 more source