A CFAR Detection Algorithm Based on Clutter Knowledge for Cognitive Radar-Reference-Cited by-同舟云学术

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A CFAR Detection Algorithm Based on Clutter Knowledge for Cognitive Radar

Published:2023-03-01 Issue:3 Volume:E106.A Page:590-599
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

LIU Kaixuan¹,LI Yue¹,WANG Peng¹,PENG Xiaoyan¹,LIAO Hongshu¹,LI Wanchun¹

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E106.A/3/E106.A_2022EAP1064/_pdf

Reference22 articles.

1. [1] S. Haykin, “Cognitive radar: A way of the future,” IEEE Signal Process. Mag., vol.23, no.1, pp.30-40, Feb. 2006. 10.1109/msp.2006.1593335

2. [2] A. De Maio and A. Farina, “The role of cognition in radar Sensing,” 2020 IEEE Radar Conference (RadarConf20), Florence, Italy, Sept. 2020. 10.1109/radarconf2043947.2020.9266513

3. [3] K.L. Bell, C.J. Baker, G.E. Smith, J.T. Johnson, and M. Rangaswamy, “Cognitive radar framework for target detection and tracking,” IEEE J. Sel. Topics Signal Process., vol.9, no.8, pp.1427-1439, Dec. 2015. 10.1109/jstsp.2015.2465304

4. [4] A. Aubry, A.D. Maio, M. Piezzo, and A. Farina, “Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization,” IEEE Trans. Aerosp. Electron. Syst., vol.50, no.82, pp.1138-1152, April 2014. 10.1109/taes.2014.120731

5. [5] A. Benavoli, L. Chisci, A. Farina, S. Immediata, L. Timmoneri, and G. Zappa, “Knowledge-based system for multi-target tracking in a littoral environment,” IEEE Trans. Aerosp. Electron. Syst., vol.42, no.3, pp.1100-1119, 2006. 10.1109/taes.2006.248193

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3. Clutter Map Constant False Alarm Rate Mixed with the Gabor Transform for Target Detection via Monte Carlo Simulation;Applied Sciences;2024-03-31

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