Radioengineering最新文献_第3页

Performance Analysis of Novel Index Modulation-Based Non-Orthogonal Multiple Access Systems over Nakagami-m Fading Channels with Imperfect CSI 一种新的基于索引调制的非正交多址系统在不完全CSI的Nakagami-m衰落信道上的性能分析

IF 1.1 4区工程技术

Radioengineering Pub Date : 2023-09-01 DOI: 10.13164/re.2023.0425

H. Shwetha, S. Anuradha

引用次数: 0

A Wasserstein Distance-Based Cost-Sensitive Framework for Imbalanced Data Classification 基于Wasserstein距离的不平衡数据分类代价敏感框架

IF 1.1 4区工程技术

Radioengineering Pub Date : 2023-09-01 DOI: 10.13164/re.2023.0451

R. Feng, H. Ji, Z. Zhu, L. Wang

{"title":"A Wasserstein Distance-Based Cost-Sensitive Framework for Imbalanced Data Classification","authors":"R. Feng, H. Ji, Z. Zhu, L. Wang","doi":"10.13164/re.2023.0451","DOIUrl":"https://doi.org/10.13164/re.2023.0451","url":null,"abstract":". Class imbalance is a prevalent problem in many real-world applications, and imbalanced data distribution can dramatically skew the performance of classifiers. In general, the higher the imbalance ratio of a dataset, the more difficult it is to classify. However, it is found that standard classifiers can still achieve good classification results on some highly imbalanced datasets. Obviously, the class imbalance is only a superficial characteristic of the data, and the underlying structural information is often the key factor affecting the classification performance. As implicit prior knowledge, structural information has been validated to be crucial for designing a good classifier. This paper proposes a Wasserstein-based cost-sensitive support vector machine (CS-WSVM) for class imbalance learning, incorporating prior structural information and a cost-sensitive strategy. The Wasserstein distance is introduced to model the distribution of majority and minority samples to capture the structural information, which is employed to weight the majority and minority samples. Comprehensive experiments on synthetic and real-world datasets, especially on the radar emitter signal dataset, demonstrated that CS-WSVM can achieve outstanding performance in imbalanced scenarios.","PeriodicalId":54514,"journal":{"name":"Radioengineering","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42780388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Zeno Paradox: Some Well-known Nonlinear Dopant Drift Memristor Models Have Infinite Resistive Switching Time 芝诺悖论:一些著名的非线性掺杂漂移忆阻器模型具有无限的电阻开关时间

IF 1.1 4区工程技术

Radioengineering Pub Date : 2023-09-01 DOI: 10.13164/re.2023.0312

R. Mutlu, T. D. Kumru

{"title":"A Zeno Paradox: Some Well-known Nonlinear Dopant Drift Memristor Models Have Infinite Resistive Switching Time","authors":"R. Mutlu, T. D. Kumru","doi":"10.13164/re.2023.0312","DOIUrl":"https://doi.org/10.13164/re.2023.0312","url":null,"abstract":". There are nonlinear drift memristor models uti-lizing window functions in the literature. The resistive memories can also be modeled using memristors. If the memristor’s resistance switches from its minimum value to its maximum value or from its maximum value to its minimum value, the transition phenomenon is called resistive or memristive switching. The value of the time required for this transition is especially important for resistive computer memory applications. The switching time is measured by experiments and should be calculatable from the parameters of the memristor model used. In the literature, to the best of our knowledge, the resistive switching times have not been calculated except for the HP memristor model and a piecewise linear memristor model. In this study, the memristive switching times of some of the well-known memristor models using a window function are calculated and found to be infinite. This is not feasible according to the experiments in which a finite memristive switching time is reported. Inspired by these results, a new memristor window function that results in a finite switching time is proposed. The results of this study and the criteria given here can be used to make more realistic memristor models in the future.","PeriodicalId":54514,"journal":{"name":"Radioengineering","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42280842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Detection Method for Tunnel Lining Defects Based on DCAM-YOLOv5 in GPR B-Scan 基于DCAM-YOLOv5的探地雷达B扫描隧道衬砌缺陷检测方法研究

IF 1.1 4区工程技术

Radioengineering Pub Date : 2023-09-01 DOI: 10.13164/re.2023.0299

D. Chen, S. Xiong, L. Guo

引用次数: 0

A Hybrid Adaptive Beamforming Algorithm for SINR Enhancement in Massive MIMO Systems 一种用于大规模MIMO系统SINR增强的混合自适应波束形成算法

IF 1.1 4区工程技术

Radioengineering Pub Date : 2023-09-01 DOI: 10.13164/re.2023.0345

Hosni Manai, L. B. Slama, R. Bouallègue

引用次数: 0

Dual-Template Siamese Network with Attention Feature Fusion for Object Tracking 基于注意力特征融合的双模板Siamese网络目标跟踪

IF 1.1 4区工程技术

Radioengineering Pub Date : 2023-09-01 DOI: 10.13164/re.2023.0371

Mengxing Liu, J. Shi, Y. Wang

引用次数: 0

Extended Target Fast Labeled Multi-Bernoulli Filter 扩展目标快速标记多伯努利滤波器

IF 1.1 4区工程技术

Radioengineering Pub Date : 2023-09-01 DOI: 10.13164/re.2023.0356

Xuan Cheng, Ji Hongbing, Yongquan Zhang

引用次数: 0

Study on the Generation of Vortex Waves Based on Coding Metasurfaces and Genetic Algorithms 基于编码超表面和遗传算法的涡波生成研究

IF 1.1 4区工程技术

Radioengineering Pub Date : 2023-09-01 DOI: 10.13164/re.2023.0332

S. Lv, X. Cao, J. Gao, R. Xue

引用次数: 0

A Miniaturized Low Pass Filter with Extended Stopband and High Passband Selectivity 一种具有扩展阻带和高通带选择性的小型低通滤波器

IF 1.1 4区工程技术

Radioengineering Pub Date : 2023-09-01 DOI: 10.13164/re.2023.0408

P. Singh, M. Tomar, Parihar

引用次数: 0

Overcoming Unknown Measurement Noise Powers in Multistatic Target Localization: A Cyclic Minimization and Joint Estimation Algorithm 克服多基地目标定位中未知测量噪声功率的循环最小化和联合估计算法

IF 1.1 4区工程技术

Radioengineering Pub Date : 2023-09-01 DOI: 10.13164/re.2023.0415

Jing Yang, Chengcheng Liu, Jie Huang, HU Dexiu, Chuang Zhao

{"title":"Overcoming Unknown Measurement Noise Powers in Multistatic Target Localization: A Cyclic Minimization and Joint Estimation Algorithm","authors":"Jing Yang, Chengcheng Liu, Jie Huang, HU Dexiu, Chuang Zhao","doi":"10.13164/re.2023.0415","DOIUrl":"https://doi.org/10.13164/re.2023.0415","url":null,"abstract":". This paper investigates the issue of multistatic target localization using measurements including angle of arrival (AOA), time delay (TD), and Doppler shift (DS). We delve into a practically driven nonideal localization scenario where the measurement noise powers remain unknown. An algorithm that jointly estimates target posi-tion-velocity and measurement noise powers is proposed. Initially, an optimization model for the joint estimation is developed following the maximum likelihood estimation criterion. Subsequently, we cyclically minimize the optimization model to yield estimates for target position-velocity and measurement noise powers. The Cramér-Rao lower bound (CRLB) for this joint estimation is also derived. Contrary to existing algorithms, our proposed method eliminates the need for prior knowledge of measurement noise powers, simultaneously estimating the target posi-tion-velocity and measurement noise powers. Simulation results indicate superior localization accuracy with our algorithm, particularly in scenarios with unknown measurement noise powers. Furthermore, at moderate noise levels, the algorithm's estimation accuracy for target posi-tion-velocity and measurement noise powers meets the CRLB.","PeriodicalId":54514,"journal":{"name":"Radioengineering","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44498291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0