Robust CFAR Detector With Ordered Statistic of Sub-Reference Cells in Multiple Target Situations
Author:
Affiliation:
1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea
2. Radar and EW Technology Center, Agency for Defense Development (ADD), Daejeon, Republic of Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09759424.pdf?arnumber=9759424
Reference27 articles.
1. Analysis of CFAR processors in nonhomogeneous background
2. Analysis of Some Modified Cell-Averaging CFAR Processors in Multiple-Target Situations
3. Detectability Loss Due to "Greatest Of" Selection in a Cell-Averaging CFAR
4. Radar CFAR Thresholding in Clutter and Multiple Target Situations
5. Robust CFAR Detector With Weighted Amplitude Iteration in Nonhomogeneous Sea Clutter
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1. Partial mean and multi-section rank order filtering for order statistic-constant false alarm rate detection in synthetic aperture radar imagery;Journal of Applied Remote Sensing;2023-10-11
2. Modified rank sum nonparametric CFAR to combat clutter edge;EURASIP Journal on Advances in Signal Processing;2023-06-27
3. Multi-Target Detection Based on Improved CA-CF AR Algorithm;2022 14th International Conference on Signal Processing Systems (ICSPS);2022-11
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