利用时域测量数据积累,使用 CNN 在杂乱环境中检测缓慢移动的点目标

IF 1.6 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Wonmin Cho, N. Kwak
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引用次数: 0

摘要

在现代雷达中,通过信号处理降低探测阈值,以探测雷达截面值较小的点目标,从而提高目标探测概率。然而,较低的阈值会增加假目标的数量。在使用通用跟踪滤波器的传统跟踪方法中,扫描之间的测量数据需要进行比较。因此,对于大量获取的测量数据,可以通过长期积累获取的测量数据,将目标运动识别为一种模式,并训练一个卷积神经网络(CNN)模型来降低计算复杂度。在此,我们提出了一种方法,通过迁移学习创建所需的目标场景,并利用二元检测器 CNN 模型的激活图估计目标位置。该模型可以使用实际获取的雷达数据检测目标,而且无论误报次数多少,处理时间保持不变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time-Domain Measurement Data Accumulation for Slow Moving Point Target Detection in Heavily Cluttered Environments Using CNN
In modern radars, the target detection probability is increased by lowering the detection threshold via signal processing to detect a point target with a small radar cross-section value. However, a lower threshold increases the number of false targets. In the conventional tracking method, which uses a general tracking filter, the measurement data between scans should be compared. Therefore, for a large amount of acquired measurement data, the computational complexity can be reduced by accumulating the acquired measurement data over time, recognizing the target movement as a pattern, and training a convolutional neural network (CNN) model. Here, we propose a method to create a desired target scenario by transfer learning and estimate the target position using the activation map of a binary detector CNN model. The model can detect a target using the actual acquired radar data, and the processing time remains constant, regardless of the number of false alarms.
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来源期刊
Journal of electromagnetic engineering and science
Journal of electromagnetic engineering and science ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
2.90
自引率
17.40%
发文量
82
审稿时长
10 weeks
期刊介绍: The Journal of Electromagnetic Engineering and Science (JEES) is an official English-language journal of the Korean Institute of Electromagnetic and Science (KIEES). This journal was launched in 2001 and has been published quarterly since 2003. It is currently registered with the National Research Foundation of Korea and also indexed in Scopus, CrossRef and EBSCO, DOI/Crossref, Google Scholar and Web of Science Core Collection as Emerging Sources Citation Index(ESCI) Journal. The objective of JEES is to publish academic as well as industrial research results and discoveries in electromagnetic engineering and science. The particular scope of the journal includes electromagnetic field theory and its applications: High frequency components, circuits, and systems, Antennas, smart phones, and radars, Electromagnetic wave environments, Relevant industrial developments.
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