Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)

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Cfar Target Detection Processing Simulation Study

Authors
Tiansong Fang1, *
1School of Electronic Engineering, Xidian University, Xi’an, 710071, China
*Corresponding author. Email: 22009101598@stu.xidian.edu.cn
Corresponding Author
Tiansong Fang
Available Online 23 October 2025.
DOI
10.2991/978-94-6463-864-6_21How to use a DOI?
Keywords
Constant False Alarm Rate; Matlab Simulation; Target Detection
Abstract

Radar systems are currently a popular area of research in today’s technological landscape. Previous researchers have utilized traditional target detection methods for radar signal processing. However, these conventional methods cannot efficiently process radar signals in complex environments. Therefore, in this study, Matlab is utilized to conduct a simulation study of CFAR target detection and the resulting images are systematically analyzed to investigate the effect of different parameters on the detection performance. The study delves into the working principle of CFAR target detection and conducts experiments for various parameter settings to analyze their impact on the target detection effect. The detection performance of the system in diverse environments is evaluated by adjusting key parameters such as the detection threshold and the number of reference units. In this study, a radar target detection system based on the CFAR algorithm was successfully constructed. Through simulation experiments, the effects of different parameter settings on target detection performance are verified, including key factors such as detection probability, false alarm probability, and detection threshold. The results show that reasonable adjustment of parameters can significantly improve the target detection capability of radar systems in complex electromagnetic environments, which provides a new idea for the efficient detection of radar systems.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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 license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)
Series
Advances in Engineering Research
Publication Date
23 October 2025
ISBN
978-94-6463-864-6
ISSN
2352-5401
DOI
10.2991/978-94-6463-864-6_21How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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 license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Tiansong Fang
PY  - 2025
DA  - 2025/10/23
TI  - Cfar Target Detection Processing Simulation Study
BT  - Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)
PB  - Atlantis Press
SP  - 197
EP  - 206
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-864-6_21
DO  - 10.2991/978-94-6463-864-6_21
ID  - Fang2025
ER  -