A Robust Signal Recognition Method for Communication System under Time-Varying SNR Environment-Reference-Cited by-同舟云学术

A Robust Signal Recognition Method for Communication System under Time-Varying SNR Environment

Published:2013 Issue:12 Volume:E96.D Page:2814-2819
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

LI Jing-Chao¹,LI Yi-Bing¹,KIDERA Shouhei²,KIRIMOTO Tetsuo²

Affiliation:

1. Graduate School of Communication and Informatics System, Harbin Engineering University

2. Graduate School of Informatics and Engineering, The University of Electro-Communications

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E96.D/12/E96.D_2814/_pdf

Reference12 articles.

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2. [2] B. Ghoraani and S. Krishnan, “Time frequency matrix feature extraction and classification of environmental audio signals,” IEEE Trans. Audio Speech Language Process., vol.19, no.7, pp.2197-2209, 2011.

3. [3] Y. Lin and J.-C. Li, “Radar signal recognition algorithms based on neural network and gray relation theory,” Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), pp.1482-1485, 2011.

4. [4] Y.-B. Li, J.-C. Li and Y. Lin, “The identification of communication signals based on fractal box dimension and index entropy,” J. Convergence Information Technology, vol.6, no.11, pp.201-208, 2011.

5. [5] C.-H. Zhao, W.-C. Yang and S. Ma, “Research on communication signal modulation recognition based on the generalized second-order cyclic statistics,” J. Communications, vol.32, no.1, pp.144-150, 2011. (in Chinese)

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