Results 241 to 250 of about 1,581 (275)

Research on technology of radar emitter recognition

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), 2005
Artificial intelligence technologies are introduced to radar countermeasure intelligence processing in recent years. Based on radar practical reconnaissance environment, several radar emitter recognition algorithms are studied in this paper. They are fuzzy comprehensive evaluation, gray correlation analysis, and fuzzy pattern recognition. In this paper,
null Xin Guan, null Xiao Yi, null You He
openaire   +1 more source

A Novel Method for Recognising Radar Emitter

2010 International Conference on Computational Intelligence and Software Engineering, 2010
A novel method for recognising radar emitter is proposed in this paper. The resemblance coefficient (CR), pulse repetition interval (PRI) mean and variance are used as the factors for recognising radar emitter which is based on the feature of these parameters.
Jiaming Zhang, Yi He
openaire   +1 more source

Radar Emitter Classification With Attention-Based Multi-RNNs

IEEE Communications Letters, 2020
Analyzing and recognizing radar signals are important tasks for effective Electronic Support Measurement (ESM) system operation. The electromagnetic environment is highly complex nowadays, however, resulting in non-uniformed distributed pulse streams. The high-dimensional features of the radar emitters are also overly complicated.
Xueqiong Li, Zhangmeng Liu, Zhi-Tao Huang, Weisong Liu   +3 more
openaire   +1 more source

Combining Multiple SVM Classifiers for Radar Emitter Recognition

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
Radar emitter recognition is of great importance in modern ELINT and ESM systems. The conventional methods for emitter recognition usually use one classifier. For specific emitter recognition, there are slight differences between the feature vectors from radars with the same type.
Lin Li 0050, Hongbing Ji
openaire   +1 more source

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
openaire   +1 more source

Variable reflectivity unstable resonators for coherent laser radar emitters

Applied Optics, 1987
Positive branch unstable resonators with graded convex couplers are an attractive configuration to produce high-power single-mode lasers suited to ladar applications [1]. The purpose of this presentation is first, to determine the reflectivity profile which will optimize the energy extraction while maintaining single transverse mode oscillation and ...
A, Parent, P, Lavigne
openaire   +2 more sources

A new algorithm for radar emitter recognition

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the, 2004
A radar electronic support measures (ESM) system performs the functions of threat detection and area surveillance. The received radar pulses are sorted and segregated by the deinterleaver into a number of radar cells depending on the measured parameters of the received pulses.
openaire   +1 more source

A novel gray model for radar emitter recognition

Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004., 2005
Based on radar practical reconnaissance environment, the application of gray correlation analysis method in emitter recognition is deeply studied in this paper. Firstly, the detailed steps of the method are put forward. Secondly, two approaches to determining the weighed coefficients are also proposed, which overcome the subjectivity in traditional ...
null Guang Xin, null He You, null Yi Xiao   +2 more
openaire   +1 more source

A GMM-based Algorithm for Classification of Radar emitters

2008 9th International Conference on Signal Processing, 2008
A Gaussian mixture model (GMM)-based algorithm for the classification of radar emitters in autonomous electronic support measure systems is described in this paper. We first build a Gaussian model for every radar emitter, and then use the expectation-maximization (EM) algorithm to train the parameters of the model.
null Xuhua Gong, null Huadong Meng, null Xiqin Wang   +2 more
openaire   +1 more source