检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

5,899 篇 会议
86 篇 期刊文献
1 册 图书

馆藏范围

5,986 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,302 篇 工学
- 1,950 篇 信息与通信工程
- 1,182 篇 电气工程
- 923 篇 计算机科学与技术...
- 638 篇 控制科学与工程
- 529 篇 电子科学与技术（可...
- 483 篇 软件工程
- 450 篇 测绘科学与技术
- 357 篇 仪器科学与技术
- 306 篇 光学工程
- 296 篇 航空宇航科学与技...
- 244 篇 交通运输工程
- 229 篇 机械工程
- 126 篇 土木工程
- 112 篇 建筑学
- 109 篇 安全科学与工程
- 88 篇 材料科学与工程（可...
- 68 篇 生物工程
- 59 篇 生物医学工程（可授...
- 55 篇 动力工程及工程热...
1,462 篇 理学
- 1,005 篇 物理学
- 266 篇 数学
- 97 篇 统计学（可授理学、...
- 87 篇 系统科学
- 75 篇 生物学
- 57 篇 化学
- 49 篇 大气科学
357 篇 医学
- 350 篇 临床医学
270 篇 管理学
- 194 篇 管理科学与工程(可...
- 105 篇 工商管理
- 94 篇 图书情报与档案管...
44 篇 军事学
33 篇 经济学
22 篇 法学
21 篇 农学
9 篇 教育学
4 篇 文学

主题

758 篇 laser radar
745 篇 radar
431 篇 radar tracking
359 篇 sensor systems
334 篇 synthetic apertu...
306 篇 sensors
296 篇 target tracking
286 篇 wireless sensor ...
253 篇 three-dimensiona...
246 篇 cameras
235 篇 sensor fusion
234 篇 radar detection
232 篇 radar imaging
203 篇 radar antennas
178 篇 robot sensing sy...
178 篇 sensor phenomena...
174 篇 object detection
170 篇 optical radar
155 篇 sensor arrays
148 篇 millimeter wave ...

机构

75 篇 penn state univ ...
30 篇 sandia natl labs...
27 篇 res lab adelphi ...
25 篇 penn state univ ...
22 篇 lincoln laborato...
21 篇 jet propulsion l...
18 篇 school of inform...
18 篇 sandia natl labs...
18 篇 us army res lab ...
14 篇 naval res lab wa...
12 篇 villanova univ c...
12 篇 univ st andrews ...
11 篇 sandia natl labs...
11 篇 univ oklahoma ad...
10 篇 department of ea...
10 篇 university of el...
10 篇 defence science ...
9 篇 texas tech univ ...
9 篇 sandia natl labs...
9 篇 georgia tech res...

作者

95 篇 narayanan ram m.
30 篇 doerry a. w.
27 篇 sherbondy kelly ...
25 篇 thomas zwick
24 篇 zhang yan (rocke...
24 篇 ranney kenneth
20 篇 dogaru traian
20 篇 ahmad fauzia
19 篇 robert weigel
17 篇 li changzhi
17 篇 martone anthony ...
16 篇 amin moeness g.
16 篇 gallagher kyle a...
15 篇 lanzagorta marco
15 篇 wei yi
14 篇 mazzaro gregory ...
14 篇 alexander yarovo...
14 篇 alexander koelpi...
12 篇 flores benjamin ...
12 篇 phelan brian r.

语言

5,887 篇 英文
53 篇 中文
42 篇 其他
3 篇 德文
2 篇 土耳其文
1 篇 俄文

检索条件"任意字段=Conference on Radar Sensor Technology"

共 5986 条记录，以下是201-210 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Design of Miniaturized Rasorber with Wide Transmission Band 16

Design of Miniaturized Rasorber with Wide Transmission Band

引用

16th International conference on Microwave and Millimeter Wave technology (ICMMT)

作者： Zhang, Fuheng Xuan, Xiaobo Gu, Hao Ji, Lei Yang, Guo-Min Jin, Ya-Qiu Fudan Univ Shanghai Radio Equipment Res Inst Shanghai 200433 Peoples R China Fudan Univ Key Lab Informat Sci Electromagnet Waves MoE Shanghai 200433 Peoples R China

ISBN: (纸本)9798350389968

In this paper, a novel miniaturized frequency selective rasorber (FSR) with high in-band transmission at X-band and wide absorption band in the C-band is proposed. The FSR element exhibits a third-order bandpass filter response to provide high in-band transmission and drop-off out-of-band property. Simulated results show that, at the center frequency of 10.0GHz the relative bandwidth for transmission reaches 27.96%, while the relative bandwidth for absorption exceeding 90% achieves 59%.

关键词： Band-pass filter frequency selective rasorber wide band radar cross section (RCS) reduction

来源：评论

学校读者我要写书评

暂无评论

Research on Wind Deviation Monitoring technology of Transmission Line based on Millimeter Wave radar 3

Research on Wind Deviation Monitoring Technology of Transmis...

引用

3rd International conference on Energy, Power and Electrical technology, ICEPET 2024

作者： Zhang, Minghao Li, Mengxuan Ma, Xiao Li, Junhui Tang, Haitao Guo, Lirui China Electric Power Research Institute Transmission and Transformation Engineering Research Department Beijing China State Grid Sichuan Electric Power Company Equipment Management Department Chengdu China

ISBN: (纸本)9798350352658

The wind deviation phenomenon of transmission lines has become one of the important reasons leading to grid tripping. Effective wire wind deviation monitoring is an important part of transmission line condition monitoring system. Due to the limitation of previous techniques, the current wind deviation monitoring is still difficult to accurately measure the interphase distance of the conductor. With the continuous development of millimeter wave radar technology, it provides a new technical route for wind deviation monitoring. In this paper, the hardware design of the radar is carried out based on the 24GHz band millimeter wave radar chip, aiming at the direct and accurate measurement of the interphase distance of the wire. A software algorithm optimization process based on frequency-modulated continuous wave is proposed to meet the demand of wind deviation monitoring. At the same time, the millimeter wave radar module and wire monitoring sensor are integrated. Compared with the traditional method, the direct and accurate measurement of interphase distance is realized, which effectively improves the technical practicability of wire wind deviation measurement. © 2024 IEEE.

关键词： Condition monitoring

来源：评论

学校读者我要写书评

暂无评论

Miniaturized UWB Microstrip Bandpass Filter with Notched Band 25

Miniaturized UWB Microstrip Bandpass Filter with Notched Ban...

引用

25th International Microwave and radar conference (MIKON)

作者： Alyami, Geamel H. Almansour, Faris H. Alshammari, Marji A. Shaman, Hussein N. King Abdulaziz City Sci & Technol Ctr Excelleance Microwave Sensor Technol Riyadh Saudi Arabia King Abdulaziz City Sci & Technol Carbon Capture Utilizat & Storage Ctr Riyadh Saudi Arabia King Abdulaziz City Sci & Technol Future Econ Sect Riyadh Saudi Arabia

ISBN: (纸本)9798350371611;9788396972613

This paper introduces a pioneering approach to the design of an ultra-wideband (UWB) microstrip bandpass filter featuring a narrow notch. The proposed filter incorporates two identical high-impedance short-circuited stubs, one low-impedance short-circuited stub, and two identical sections with three parallel-coupled lines. The electrical length of both the short-circuited stubs and the parallel-coupled lines is meticulously set to a quarter-wavelength at the center frequency of the desired passband. Additionally, a very short-length open-circuited stub is strategically placed at the end of one of the outer lines in a parallel-coupled line section. This configuration enables the filter to exhibit a narrow notched band within the passband, effectively attenuating unwanted WLAN signals. The filter is designed utilizing a RT/Duriod 6010 microstrip substrate characterized by a relative dielectric constant of 10.8 and a thickness of 1.27 mm. The design of the proposed filter is successfully realized in theory and verified by full-wave electromagnetic simulation and the experiment. The filter shows an UWB passband from 2.1 to 11.9 GHz. An excellent agreement between the expected and measured results is obtained.

关键词： transmission line filter microstrip filter UWB filter bandpass filter stub line filter notch filter

来源：评论

学校读者我要写书评

暂无评论

radar-Image Fusion Transformer for Object Detection with Uncertainty Estimation 26

Radar-Image Fusion Transformer for Object Detection with Unc...

引用

IEEE 26th International conference on Intelligent Transportation Systems (ITSC)

作者： Zhao, Yang Wang, Xiao Cheng, Hong Univ Elect Sci & Technol China Sch Automat Engn Chengdu Sichuan Peoples R China

ISBN: (纸本)9798350399462

Multi-sensor fusion is currently the main way of autonomous driving perception. Among them, radar has been paid more and more attention by researchers due to its low cost and strong anti- interference. The fusion perception method of radar and image has gradually become a hot research field. Nevertheless, the high-noise data of radar brings the challenge of uncertain perception results. In order to solve these problems, this paper proposes a Transformer-based 2D object detection algorithm with the fusion of radar and images, which can effectively detect objects. And for the problem of uncertainty in perception results, a method for modeling regression and classification uncertainty is proposed. We validate the proposed method on the NuScenes dataset. Experimental results show that our method achieves higher detection performance compared to the baseline model and can estimate the uncertainty of the proposed algorithm in real traffic scenarios.

关键词： Image fusion

来源：评论

学校读者我要写书评

暂无评论

A Multipath Signals Recognition Method based on Deep Neural Network 2

A Multipath Signals Recognition Method based on Deep Neural ...

引用

2nd IEEE International conference on Signal, Information and Data Processing, ICSIDP 2024

作者： Chuanhao, Zhao Xu, Huang Jiamin, Long Mingxuan, Liu Xueyao, Hu Liping, Zhou Beijing Institute of Technology Radar Technology Research Institute Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China

ISBN: (纸本)9798331515669

Millimeter-wave radar is the primary sensor for enabling autonomous driving and ADAS functions. MIMO technology has demonstrated its effectiveness to deliver precise angular estimation of objects using few antennas, making it a popular choice in automotive radar applications. However, a significant challenge for MIMO systems is multipath reflection. This phenomenon not only degrades angular estimation accuracy by disrupting the integrity of the virtual arrays in MIMO radar, but also impairs detection performance by introducing ghost targets. This paper addresses the issue of ghost target identification in multipath scenarios for vehicle-mounted MIMO radar. A method called DNN-IAA is proposed, which combines Iterative Adaptive Algorithm based on separation of sending and receiving (srt-IAA) with the Deep Neural Network (DNN) to tackle multipath signals recognition in complex scenarios. Firstly, srt-IAA is employed to obtain the two-dimensional angle-frequency spectrum of the target's Direction of Arrival (DOA) and Direction of Departure (DOD). Subsequently, the DNN is used to extract features from the DOA-DOD spectrum for the classification of multipath signals. Finally, a simulation is conducted to validate the proposed solution. © 2024 IEEE.

关键词： Adaptive algorithms

来源：评论

学校读者我要写书评

暂无评论

End-to-End Trainable Deep Neural Network for radar Interference Detection and Mitigation

End-to-End Trainable Deep Neural Network for Radar Interfere...

引用

2023 IEEE International radar conference, radar 2023

作者： Klemp, Marvin Chen, Shengyi Wagner, Royden Lauer, Martin Institute of Measurement and Control Systems Karlsruhe Institute of Technology Karlsruhe76131 Germany Institute of Communication Acoustics Ruhr-Universität Bochum Bochum44801 Germany

ISBN: (纸本)9781665482783

The automotive radar sensor is an essential sensor for intelligent transportation systems. However, the increasing number of such systems leads to mutual interference between sensors. radar interference can be a severe disturbance, where targets within the victim radar are not perceived anymore if no countermeasures are taken. To prevent fatal injuries caused by this disturbance, several classical and deep-learning based methods to detect and mitigate radar interference have been proposed. We present an end-to-end trainable deep neural network for radar interference detection and mitigation. We evaluate different radar interference detection and mitigation methods on a large scale urban driving dataset using simulated radar interference. To our knowledge, this is the first end-to-end trainable architecture for interference detection and mitigation in the time domain. We show that our method achieves state-of-the-art results in interference detection and mitigation. Code for our method, reference methods, simulation, and the evaluation is available at https://***/KIT-MRT/ridam. © 2023 IEEE.

关键词： Large dataset

来源：评论

学校读者我要写书评

暂无评论

Noncontact Measurement of Sea Wave Dynamics and Velocity Estimation with a Low-Cost FMCW radar sensor 7

Noncontact Measurement of Sea Wave Dynamics and Velocity Est...

引用

7th International conference on Signal Processing and Information Security, ICSPIS 2024

作者： Chawraba, Assil Randazzo, Andrea Cavigila, Daniele D. Genoa Italy Lebanese University Lebanese school of Science and Technology MECRL Lab-EDST Beirut Lebanon

ISBN: (纸本)9798350368673

Effective Sea state monitoring in coastal zones is crucial for coastal safety and environmental management. This research introduces a methodology leveraging a low-cost Frequency Modulated Continuous Wave (FMCW) radar system to extract comprehensive wave parameter information. By analyzing the received radar signals through 2D FFT range-Doppler mapping, we obtain detailed insights into wave dynamics. The methodology also involves evaluating the normalized power spectrum in the frequency domain and analyzing time-domain IQ signals to accurately characterize sea wave properties. Experimental assessments conducted in coastal areas validate this approach, demonstrating the radar's capability to provide reliable measurements of wave velocities and characteristics. These radar measurements are used to initialize models that estimate sea state parameters under various conditions. The results indicate that this low-cost FMCW radar system offers a practical and effective solution for real-time sea wave monitoring, comparable to more expensive commercial systems. © 2024 IEEE.

关键词： Coastal zones

来源：评论

学校读者我要写书评

暂无评论

sensor Tracking System using radar and Object Detection 13

Sensor Tracking System using Radar and Object Detection

引用

IEEE 13th Annual Computing and Communication Workshop and conference (CCWC)

作者： Melgoza, Cesar Martinez George, Kiran Miho, Jake Calif State Univ Fullerton Comp Engn Fullerton CA 92634 USA

ISBN: (纸本)9798350332865

sensor technology has impacted and transformed several commercial and military industries, from automotive to defense, to personal security applications. Adopting Computer Vision techniques such as Object Detection helps boost the system's capabilities in tracking and classification. A previous study looked at optimizing a radar System that relied on the processing power of the Raspberry Pi 4. Since the Raspberry Pi 4 is not an ideal device for a real-time environment, this experiment aims to improve on that aspect by utilizing the processing power of the Jetson TX2 to boost the system's speed and reduce latency between the Object Detection and Velocity calculation. The experiment will be repeated using the Jetson hardware to mimic the same scenarios in common tracking and surveillance systems.

关键词： radar Transceiver HB100 Jetson TX2 Parallel Programming Computer Vision YOLOv3 Object Detection System Latency Average Classification Accuracy

来源：评论

学校读者我要写书评

暂无评论

Non-Contact Breath Rate Classification Using SVM Model and mmWave radar sensor Data 2

Non-Contact Breath Rate Classification Using SVM Model and m...

引用

2nd International conference on Cyber Physical Systems, Power Electronics and Electric Vehicles, ICPEEV 2024

作者： Ali, Mohammad Wassaf Gupta, Ayushi Khan, Mujeev Wajid, Mohd Department of Computer Engineering Aligarh Muslim University Aligarh India Department of Electronics Engineering Aligarh Muslim University Aligarh India

ISBN: (纸本)9798350388664

This work presents the use of frequency-modulated continuous wave (FMCW) radar technology combined with a machine learning (ML) model to differentiate between Normal and Abnormal Breath Rates (BR). The recommended system non-contactly collects data (or signals) using FMCW radar, which depends on BR. Various Support Vector Machine (SVM) kernels are used to classify the observed data into Normal and Abnormal states. Prolonged experiments show good accuracy in BR classification, confirming the model's efficacy. The best accuracy is 95% with the smallest number of support vectors in the case of the quadratic polynomial kernel. © 2024 IEEE.

关键词： Polynomials

来源：评论

学校读者我要写书评

暂无评论

RAV4D: A radar-Audia-Visual Dataset for Indoor Multi - Person Tracking

RAV4D: A Radar-Audia-Visual Dataset for Indoor Multi - Perso...

引用

2024 IEEE radar conference, radarConf 2024

作者： Zhou, Yi Song, Ningfei Ma, Jieming Man, Ka Lok López-Benítez, Miguel Yu, Limin Yue, Yutao School of Advanced Technology Xi'an Jiaotong-Liverpool University Suzhou China University of Liverpool Department of Electrical Engineering and Electronics Liverpool United Kingdom Institute of Deep Perception Technology Jitri Wuxi China

ISBN: (纸本)9798350329209

Indoor multi-person tracking is a widely explored area of research. However, publicly available datasets are either oversimplified or provide only visual data. To fill this gap, our paper presents the RAV4D dataset, a novel multimodal dataset that includes data from radar, microphone arrays, and stereo cameras. This dataset is characterised by the provision of 3D positions, Euler angles and Doppler velocities. By integrating these different data types, RAV 4D aims to exploit the synergistic and complementary capabilities of these modalities to improve tracking performance. The development of RAV4D addresses two main challenges: sensor calibration and 3D annotation. A novel calibration target is designed to effectively calibrate the radar, stereo camera and microphone array. In addition, a visually guided annotation framework is proposed to address the challenge of annotating radar data. This framework uses head positions, heading orientation and depth information from stereo cameras and radar to establish accurate ground truth for multimodal tracking trajectories. The dataset is publicly available at https://***/records/l0208199. © 2024 IEEE.

关键词： Stereo image processing

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 17 18 19 20 21 22 23 24 25 26 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：