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

5,900 篇 会议
86 篇 期刊文献
1 册 图书

馆藏范围

5,987 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,303 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
- 127 篇 土木工程
- 113 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

5,886 篇 英文
53 篇 中文
44 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 5987 条记录，以下是1-10 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：

Comparison of Actual Performance between CDMA and DDMA Waveforms in Vehicle radar Application 16

Comparison of Actual Performance between CDMA and DDMA Wavef...

引用

16th International conference on Signal Processing Systems, ICSPS 2024

作者： Wang, Wanbin Zou, Lin School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781510689251

The Millimeter-wave radar has become an important sensor for advanced driver assistance systems due to its advantages such as environmental adaptability, low cost and detection accuracy. Most of current vehicle radars use Multiple Input Multiple Output (MIMO) technology to obtain better angular resolution. Among all MIMO radar waveforms, both CDMA and DDMA meet the requirements of next-generation high-performance radars and may become the mainstream radar waveforms in the future. Performance comparisons of the two waveforms are scattered in a large number of literatures and they are all from a theoretical point of view. At present, there is no literature comparing the practical performance of CDMA and DDMA. AWR6843 is a high-precision millimeter-wave radar sensor widely used in automotive safety, environmental monitoring and other applications. This SOC chip has been adopted in numerous automotive radar products. Thus, based on the data collected by a TI's AWR6843 radar evaluation board, this paper compares the performance of CDMA and DDMA in terms of waveform orthogonality, parameter estimation capability, and processing complexity. In addition, the paper discusses the merits and demerits of each technology and the limitations of its practical application, which provides an important reference for the optimization and technical route selection of future radar systems. © 2025 SPIE.

关键词： Advanced driver assistance systems

来源：评论

学校读者我要写书评

暂无评论

A Modular Ray Tracing-Based Framework for Automotive radar Waveform Evaluation

A Modular Ray Tracing-Based Framework for Automotive Radar W...

引用

2025 IEEE Topical conference on Wireless sensors and sensor Networks, WiSNeT 2025

作者： Kahlert, Moritz Pan, Jinwen Fei, Tai Tebruegge, Claas Gardill, Markus HELLA GmbH & Co. KGaA Germany Brandenburg University of Technology Senftenberg Cottbus Germany University of Applied Sciences and Arts Dortmund Germany

ISBN: (纸本)9798331507336

Frequency-modulated continuous wave (FMCW) is the dominant waveform scheme in modern automotive radar systems used in advanced driver assistance systems (ADASs). Nevertheless, the digital modulation scheme phase-modulated continuous wave (PMCW) has recently attracted considerable interest due to advantages such as high maximum unambiguous velocities. However, there remains a need for more thorough performance assessments comparing these waveforms in dynamic automotive scenarios. This work presents a flexible framework comprising a ray-tracing simulator and radar models for efficient automotive scenario generation and radar simulation. Using this framework, the performance of FMCW and PMCW radar systems is assessed in a typical automotive scenario. The evaluation demonstrates that the PMCW radar system exhibits superior performance in terms of target detectability in the given scenario. © 2025 IEEE.

关键词： Advanced driver assistance systems

来源：评论

学校读者我要写书评

暂无评论

K-Band QPSK PMCW radar with Digital I/Q Constellation Phase Compensation and I/Q Imbalance Correction

K-Band QPSK PMCW Radar with Digital I/Q Constellation Phase ...

引用

2025 IEEE Topical conference on Wireless sensors and sensor Networks, WiSNeT 2025

作者： Thompson, Derek Li, Changzhi Dept. of Electrical and Computer Engineering Texas Tech University LubbockTX United States

ISBN: (纸本)9798331507336

This paper presents a novel K-Band Quadrature Phase Shift Keying (QPSK) phase-modulated continuous-wave (PMCW) radar front end architecture with digital I/Q constellation phase compensation and I/Q channel imbalance correction. Although QPSK is a very common form of digital phase modulation, it is rarely reported for PMCW radar systems, especially those designed on printed circuit board (PCB) technology. A MATLAB simulation platform is also developed and presented to help verify the benefits of QPSK PMCW radar for range detection. © 2025 IEEE.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

MMA-Net: Multi-Modal Attention Network for 2-D Object Detection in Autonomous Driving

MMA-Net: Multi-Modal Attention Network for 2-D Object Detect...

引用

2025 IEEE International conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Gaur, Abhilash Goel, Shubh Goel, Kanishk Srirangarajan, Seshan Tseng, Po-Hsuan Feng, Kai-Ten New Delhi India Hsinchu Taiwan The Department of Electrical Engineering IIT Delhi New Delhi India The Department of Electrical Engineering Bharti School of Telecommunication Technology and Management IIT Delhi New Delhi India The Department of Electronic Engineering National Taipei University of Technology Taipei Taiwan The Department of Electronics and Electrical Engineering NYCU Hsinchu Taiwan

ISBN: (纸本)9798350368741

Autonomous driving technology relies heavily on sensor data for environment perception. Heterogeneous sensors such as lidar, radar, and camera have their own strengths and limitations. Therefore, relying on any single sensor would restrict the effectiveness of autonomous driving technology. However, integrating data from such heterogeneous sensors poses challenges due to differences in their representations. This article outlines a deep learning network aimed at designing modality-agnostic multi-modal fusion architecture. We study sensor data from different modalities and learn fine-grained representations using modality-specific feature encoders independently. Then, a multi-modal attention-based network (MMA-Net) is proposed to fuse the data from heterogeneous modalities. The proposed MMA-Net fuses multi-modal sensor data by jointly exploiting the inter-modality and intra-modality relationships among camera, lidar, and radar sensors. The effectiveness of the proposed multi-modal fusion architecture is demonstrated using 2-D object detection metrics through extensive experiments on a dataset generated using the CARLA simulator. © 2025 IEEE.

关键词： autonomous driving CARLA simulator multi-modal learning object detection sensor fusion

来源：评论

学校读者我要写书评

暂无评论

Adaptive Cross-Attention Gated Network for radar-Camera Fusion in BEV Space 27

Adaptive Cross-Attention Gated Network for Radar-Camera Fusi...

引用

27th International conference on Advanced Communications technology, ICACT 2025

作者： Lee, Ji-Yong Lee, Jae-Hyeok Kang, Dong-Oh Visual Intelligent Lab. ETRI Daejeon Korea Republic of The University of Texas atAustin AustinTX78712 United States

ISBN: (纸本)9791188428137

Fusing multimodal sensors for 3D object detection has been extensively researched in the field of autonomous driving. However, existing multimodal sensor fusion methods still struggle to provide reliable detection across different modalities under diverse environmental conditions. Specifically, straightforward methods like summation or concatenation in radar-camera fusion may lead to spatial misalignment and fail to localize objects in complex scenes. To address this, we propose Adaptive CrossAttention Gated Network (ACAGN) to enhance radar-camera fusion capabilities in Bird’s-Eye View (BEV) space. Our approach integrates a deformable cross-attention and an adaptive gated network mechanism. The deformable cross-attention aligns radar and camera features from BEV with greater spatial precision, handling variations between those features effectively. Meanwhile, the adaptive gated network dynamically filters and prioritizes the most relevant information from each sensor. This dual approach improves stability and robustness of detection, as demonstrated through extensive evaluations on the nuScenes dataset. Copyright 2025 Global IT Research Institute (GIRI). All rights reserved.

关键词： Adaptive filters

来源：评论

学校读者我要写书评

暂无评论

A Novel Treatment of Obstructive Sleep Apnea Using Continuous Wave Interferometry radar

A Novel Treatment of Obstructive Sleep Apnea Using Continuou...

引用

2025 IEEE Topical conference on Wireless sensors and sensor Networks, WiSNeT 2025

作者： Xu, Geyang Williams, Christopher Xu, Ke Tom Li, Changzhi All Saints Episcopal High School Lubbock United States Electrical and Computer Engineering Texas Tech University Lubbock United States Texas Tech University Health and Science Center Lubbock United States

ISBN: (纸本)9798331507336

In recent years, radar technology has gained significant interest for its application in detecting vital signs. It has the potential to play a crucial role in identifying obstructive sleep apnea (OSA), a serious condition that disrupts breathing during sleep that can lead to cognitive impairment and cardiovascular diseases. Studies show that Positional Therapy offers an effective and low-cost treatment for OSA. While Positional Therapy is a promising treatment for OSA, it often requires manual intervention, limiting its accessibility. There remains a gap for the automatic detection and treatment of OSA. This paper proposes a novel approach to address this gap by integrating a system that uses continuous wave (CW) Doppler radar for the detection of OSA and the application of Positional Therapy, thereby improving the accuracy of diagnosis and the effectiveness of treatment. © 2025 IEEE.

关键词： Sleep research

来源：评论

学校读者我要写书评

暂无评论

Research and implementation of a multi-source sensing data posture fusion display system 24

Research and implementation of a multi-source sensing data p...

引用

5th International conference on Computer Science and Management technology, ICCSMT 2024

作者： Yan, Lintong Chen, Xiaobo Liu, Yijia Li, Zhiyong Information Science Academy of China Electronics Technology Group Corporation Beijing China Beijing Institute of Technology Beijing China 66242 Units of the Chinese People's Liberation Army Xilinguole Inner Mongolia China

ISBN: (纸本)9798400709999

Aiming at the problems such as vector map, image, DEM, inclined photography and other basic geographic information data and real-life photographs, surveillance video, drone video, laser point cloud, SAR radar images and other high-level geographic information data format differences, data management complexity, and difficult to integrate the situation, this paper centers on the management of multi-source sensor data and the integrated display of real-life situation to carry out research in two aspects, the use of large amounts of data Load scheduling technology, monitoring video automatic alignment technology, multi-source heterogeneous data lightweight processing technology, breakthrough multi-source sensing data situational fusion display technology, build multi-source sensing data situational fusion display system, to solve the multi-source heterogeneous data unified management, fusion processing, situational display and other issues, in order to realize the large-scale massive three-dimensional model data multi-source data management and two-three-dimensional visualization of the situational display to lay the foundation and provide the tools. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： radar imaging

来源：评论

学校读者我要写书评

暂无评论

PETer: A lightweight human action recognition network based on millimeter-wave radar sparse point clouds 16

PETer: A lightweight human action recognition network based ...

引用

16th International conference on Signal Processing Systems, ICSPS 2024

作者： Sun, Kangsheng Jin, Biao Cai, Yan Li, Rongmin Jiangsu University of Science and Technology Ocean College Zhenjiang China Suzhou Zadar Vision Technology Co. Ltd. Suzhou China

ISBN: (纸本)9781510689251

Millimeter-wave radar, with its excellent environmental adaptability, high resolution, strong penetration capability, and privacy protection, is widely used in smart homes, elderly care, and security monitoring. However, due to the high sparsity of millimeter-wave point cloud data, it carries less information compared to video or LiDAR, posing significant challenges for precise and rapid human action recognition. This paper proposes a lightweight long-sequence spatiotemporal edge convolution Transformer network (PETer). The model first enhances the data, then separates the spatial and temporal information of the point cloud sequence, utilizes EdgeConv to capture the spatial geometric structure information of single-frame point clouds, and employs a Transformer to extract temporal features from the multi-frame spatial information. To validate the effectiveness of the model, this paper uses the IWR1443-ISK millimeter-wave radar as the detection sensor to capture human actions and generate a 3D point cloud dataset. This dataset covers 12 types of human actions from 7 volunteers, including walking, waving, boxing, and standing. The proposed model achieves an average accuracy of 98.50% on the dataset and 100% accuracy on the MARS human skeleton dataset. Compared to various point cloud networks, the PETer network is the smallest in size, fastest in speed, and highest in accuracy, demonstrating its superior performance in millimeter-wave radar human action recognition tasks. © 2025 SPIE.

关键词： Musculoskeletal system

来源：评论

学校读者我要写书评

暂无评论

2025 4th International conference on Electronic Information and Communication Engineering, EICE 2025

2025 4th International Conference on Electronic Information ...

引用

4th International conference on Electronic Information and Communication Engineering, EICE 2025

The proceedings contain 27 papers. The topics discussed include: a pruned wavelet neural network noise optimization method for fiber optic gyroscope;an improved NSGA-II algorithm for multi-sensor scheduling optimization;research on automated annotation technology for radar range angle-doppler data based on visual supervision mechanism;multi-UAV deployment in complex mountain marathon: two tier relay and multi-objective genetic optimization;mobile sink path planning for data collection in three dimensional wireless sensor network;design of high voltage envelope tracking power supply based on multilevel architecture;a dynamic STC attenuation strategy based on environmental perception;and an automatic balancing algorithm for interface timing skew.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Vital Sign Sensing in Motion based on Millimeter Wave radar 24

Vital Sign Sensing in Motion based on Millimeter Wave Radar

引用

4th International Joint conference on Robotics and Artificial Intelligence, JCRAI 2024

作者： Chen, Wei Gong, Pengcheng Zeng, Li Wu, Yuntao Wuhan Institute of Technology Wuhan China

ISBN: (纸本)9798400710100

Non-contact monitoring technology can provide continuous vital sign data and help to detect the changes of physiological state in time, which is of great significance for early diagnosis and health management of diseases. For decades, however, the focus of the study was on stationary objects, as body motion clutter can easily overwhelm the subtle reflection of vital signs. This paper combines the direct RF sensing of a static example with the respiratory and heartbeat signal detection based on motion power estimation. We designed a custom deep learning model to capture the complex correlations between RF signal patterns, movement power, and vital signs. We further designed a real-time calibration and adaptive training scheme to achieve cross-topic generalization. Finally, we use FMCW radar sensor to evaluate the framework. The experimental results show that our method achieves an average HR error estimate of 4.99 bpm and 6.95 bpm on two different datasets, respectively, which is largely superior to the most advanced systems. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Deep learning

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 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：