Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109093
Title: | Modified rank sum nonparametric CFAR to combat clutter edge | Authors: | Meng, X Meng, Y |
Issue Date: | 2023 | Source: | EURASIP journal on advances in signal processing, 2023, v. 2023, 75 | Abstract: | The classical rank sum (RS) nonparametric constant false alarm rate (CFAR) detector plays an important role in the theoretical study and practical application of radar target detection. In order to improve the ability of the classical RS nonparametric detector to control the false alarm rate at clutter edges, a modified rank sum (MRS) nonparametric CFAR based on the mean ratio of the samples in the leading and lagging windows is proposed. The analytical expressions of the detection probability and false alarm rate of the MRS nonparametric CFAR in homogeneous background and at clutter edges are derived, and a comparison to the performance of the classical RS nonparametric detector along with some conventional parametric CFAR schemes in homogeneous background, multiple targets situation and clutter edges is made. The numerical results show that the detection performance of the MRS nonparametric CFAR in homogeneous background and in a moderate number of interfering targets situation is close to that of the classical RS nonparametric detector, and its ability to control the rise of the false alarm rate at clutter edges is evidently improved. | Keywords: | CFAR Nonhomogeneous background Nonparametric detection Radar detection |
Publisher: | SpringerOpen | Journal: | EURASIP journal on advances in signal processing | ISSN: | 1687-6172 | EISSN: | 1687-6180 | DOI: | 10.1186/s13634-023-01032-z | Rights: | © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The following publication Xiangwei, M., Yuan, M. Modified rank sum nonparametric CFAR to combat clutter edge. EURASIP J. Adv. Signal Process. 2023, 75 (2023) is available at https://doi.org/10.1186/s13634-023-01032-z. |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
s13634-023-01032-z.pdf | 1.82 MB | Adobe PDF | View/Open |
Page views
47
Citations as of Apr 1, 2025
Downloads
8
Citations as of Apr 1, 2025
SCOPUSTM
Citations
1
Citations as of Mar 27, 2025

Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.