开放集识别的高重要度特征选择和DV-OSR-QSED策略

IF 0.8 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Electronics Letters Pub Date : 2025-02-05 DOI:10.1049/ell2.70167
Tong Xu
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引用次数: 0

摘要

反无人机作战领域的一个重大挑战是通过分析无人机(例如ADS-B)广播的数据来识别敌人或自己的飞机。这个问题可以被概念化为一个开放集识别(OSR)问题。为了实现基于数据可视化的OSR (DV-OSR),本文提出了一个DV-OSR- qsed框架。提取基于相位的二维高重要特征,设计DV-OSR框架并将其映射到二维,提出第5和第95分位选择-欧几里得距离(QSED)策略。实验表明,该框架对已知和未知样本的分类正确率分别为96.04%和95.79%,召回率和F1值分别为89.00%和92.27%,AUC为0.9630。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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High importance feature selection and DV-OSR-QSED strategy for open-set recognition

A significant challenge in the domain of anti-drone warfare is the identification of enemies or own aircraft through the analysis of data broadcast by drones (e.g. ADS-B). This issue can be conceptualized as an open set recognition (OSR) problem. This paper proposes a DV-OSR-QSED framework for the purpose of data visualization-based OSR (DV-OSR). Phase-based 2D high-importance features are extracted, the DV-OSR framework is designed and mapped to 2D, and the 5th and 95th quantile selection-Euclidean distance (QSED) strategy is proposed. Experiments show that by using the proposed framework, the correct classification rate for known and unknown samples is 96.04% and 95.79%, the recall rate and F1 value are 89.00% and 92.27%, and the AUC is 0.9630.

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来源期刊
Electronics Letters
Electronics Letters 工程技术-工程:电子与电气
CiteScore
2.70
自引率
0.00%
发文量
268
审稿时长
3.6 months
期刊介绍: Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews. Scope As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below. Antennas and Propagation Biomedical and Bioinspired Technologies, Signal Processing and Applications Control Engineering Electromagnetism: Theory, Materials and Devices Electronic Circuits and Systems Image, Video and Vision Processing and Applications Information, Computing and Communications Instrumentation and Measurement Microwave Technology Optical Communications Photonics and Opto-Electronics Power Electronics, Energy and Sustainability Radar, Sonar and Navigation Semiconductor Technology Signal Processing MIMO
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