Performance Analysis of an Environmental Adaptive CFAR Detector

Author:

Hong Sung Won1,Han Dong Seog1

Affiliation:

1. School of Electronics Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 702-701, Republic of Korea

Abstract

The constant false alarm rate (CFAR) is a detection algorithm that is generally used in radar or sonar systems, but its performance depends greatly on the environment. This means that the detection performance cannot be satisfied with only a single CFAR detector. This paper evaluates mathematically a proposed environmental adaptive (EA) CFAR detector. The proposed CFAR detector selects an optimal CFAR detector depending on the environment. Computer simulations validate the mathematical analysis and robustness of the detector in homogeneous and nonhomogeneous backgrounds.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sonar image intelligent processing in seabed pipeline detection: review and application;Measurement Science and Technology;2024-01-08

2. A two-stage classification algorithm for radar targets based on compressive detection;EURASIP Journal on Advances in Signal Processing;2021-05-20

3. ToF/Radar early feature-based fusion system for human detection and tracking;2021 22nd IEEE International Conference on Industrial Technology (ICIT);2021-03-10

4. Robust Control for the Detection Threshold of CFAR Process in Cluttered Environments;Sensors;2020-07-13

5. The Evaluation of Probe Signals for Impulse Response Measurements in Shallow Water Environment;IEEE Transactions on Instrumentation and Measurement;2016-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3