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31-40 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：

Localization in 6G Communication Networks Using Low Complex Time of Arrival (TOA) and Time Difference of Arrival (TDOA) Techniques 2

Localization in 6G Communication Networks Using Low Complex ...

引用

2nd International conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Ravi Chandra, M.L. Kvna, Bhargavi Dilli, Ravilla Electronics and Communication Engineering Srinivasa Ramanujan Institute of Technology Andhra Pradesh Anathapuramu India Computer Science Engineering KLH Global Business School Telangana Hyderabad500084 India Electronics and Communication Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Udupi576104 India

ISBN: (纸本)9798331505745

Optimal placement of sensor nodes is a challenging issue in localization applications because the Cramér-Rao lower bound (CRLB) of target nodes dependent on the sensor node geometry. Though there exists many localization algorithms and methods, localization using time of arrival (TOA) and time difference of arrival (TDOA) of wideband signals has potential features to support higher accuracy at lower complexity, these techniques become a promising choice for various applications including underwater communication, highly precise radar systems, and radio communication. However, multipath propagation (the combination of indirect path signals between target node and anchor nodes), lack of clock synchronization, computational complexity, high power consumption, interference, and noise pose major challenges that affect the localization accuracy. In this paper, a highly accurate and simplified versions of TOA, TDOA-based localization techniques are presented that suit the resource constraint applications of industrial internet of things (IIoT) and 6G communication systems. The proposed TOA, TDOA techniques are based on orthogonal frequency division multiplexing (OFDM) channel estimation that ensures reliable location estimations and is less susceptible to multipath effects. During TOA based location measurements, perfect synchronization is ensured between anchor nodes and target nodes. In case of TDOA based location measurements, though the target node is not synchronized with the anchor nodes still all the anchor nodes are synchronized. So, the synchronization error between the target node and all anchor nodes is the same. Therefore, the proposed TDOA measurements and the localization accuracy are independent of synchronization error. Simulations were conducted using fast Fourier transform (FFT) and MUSIC spectrum analysis methods at higher frequency bands under noisy environments and results are compared with the performance under ideal conditions. The results proved tha

关键词： sensor nodes

来源：评论

学校读者我要写书评

暂无评论

Design of an Ultrasonic radar Ranging System with Low Power Consumption and High Accuracy

Design of an Ultrasonic Radar Ranging System with Low Power ...

引用

sensors and Information technology (ICSI), International conference on

作者： Zhenghao Huang Yuchen Zhao Xinyu Jia College of Automation and Intelligence Beijing Jiaotong University Beijing China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

Reversing radar is an electronic device that can detect obstacles behind the vehicle when reversing, and it is highly practical and innovative to study low-cost radar ranging devices in close-range environments. In this paper, an ultrasonic radar ranging system based on Arduino is developed independently. The system utilizes an ultrasonic sensor as its core component, employing ultrasonic transmission and reception to measure the distance between the sensor and an obstruction. To enhance the user experience, the design integrates an OLED screen, sound, and light alarms to achieve real-time visualization and dynamic reminders of the obstacle position. The core hardware module encompasses signal amplification, detector rectification, and sensor components, which collectively enhance the stability and precision of the received signal. The software algorithm is engineered to optimize these functions. The core hardware module includes signal amplification, detector rectification, and sensor components. These components work together to optimize the stability and accuracy of the received signal. The software algorithm enhances the ranging accuracy and environmental adaptability through dynamic correction and environmental temperature monitoring. After experimental verification, the system can stably achieve a range of 5 cm to 155 cm with an error control of ±1 cm. Additionally, the system can dynamically adjust the number of transmitting waves to achieve low power consumption, extend the detection range, and reduce the blind zone. The system has been demonstrated to meet the requirements of accurate ranging in a close range environment. It has been shown to have low power consumption and high accuracy, as well as excellent practicality and innovation. In sum, the system provides a low-cost and high-accuracy system. Furthermore, the system has been demonstrated to meet the requirements of accurate ranging in a close range environment, with low power consumption and high ac

关键词： Accuracy Power demand Heuristic algorithms Software algorithms radar Distance measurement Acoustics Hardware Software Thermal stability

来源：评论

学校读者我要写书评

暂无评论

SMCNet: Supervised Surface Material Classification Using mmWave radar IQ Signals and Complex-valued CNNs

SMCNet: Supervised Surface Material Classification Using mmW...

引用

International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Stefan Hägele Fabian Seguel Driton Salihu Adam Misik Eckehard Steinbach School of Computation Information and Technology Chair of Media Technology Munich Institute of Robotics and Machine Intelligence Technical University of Munich

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Understanding surface material properties is crucial for enhancing indoor robot perception and indoor digital twinning. However, not all sensor modalities typically employed for this task are capable of reliably capturing detailed surface material characteristics. By analyzing the reflected RF signal from a mmWave radar sensor, it is possible to extract information about the reflective material and its composition from a certain surface. We introduce a mmWave MIMO FMCW radar-based surface material classifier SMCNet, employing a complex-valued Convolutional Neural Network (CNN) and complex radar IQ signal input for classifying indoor surface materials. While current radar-based material estimation approaches rely on a fixed sensing distance and constrained setups, our approach incorporates a setup with multiple sensing distances. We trained SMCNet using data from three distinct distances and subsequently tested it on these distances, as well as on two more unseen distances. We reached an overall accuracy of 99.12-99.53% on our test set. Notably, range FFT pre-processing improved accuracy on unknown distances from 25.25% to 58.81% without re-training.

关键词： Accuracy RF signals radar Robot sensing systems radar signal processing sensors Convolutional neural networks Millimeter wave communication Speech processing Surface treatment

来源：评论

学校读者我要写书评

暂无评论

Development of Ultrasonic radar System for Object Detection Using PIC 16F877A

Development of Ultrasonic Radar System for Object Detection ...

引用

Innovative Research in Applied Science, Engineering and technology (IRASET),conference on

作者： Abdenour Hellas Fouad Slaoui Hasnaoui Department of Engineering University of Quebec in Abitibi Témiscamingue (UQAT) Canada

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

Ultrasonic radar represents a promising technology, offering reduced cost while combining efficiency and versatility. This project details the design and implementation of a radar system based on the PIC 16F877A microcontroller, capable of measuring both the distance and direction of objects in their environment. To achieve this, an ultrasonic sensor is used in combination with a stepper motor, enabling the system to scan a full 360° area. The collected data is then displayed in real-time on an LCD screen, providing clear and precise visualization of the information. The system also integrates LEDs that serve as visual indicators to signal the proximity of detected objects. When objects are at critical distances, a buzzer is activated to alert the user, adding an auditory dimension to the detection. This feature is particularly useful for applications requiring rapid response, such as surveillance, automotive, or navigation. Comprehensive tests were conducted to evaluate the system's performance. These tests included both stationary and moving targets, allowing for the verification of reliability and measurement accuracy under various conditions. The results showed that the distances measured by the system had minimal deviations from the actual distances, confirming the high precision of the device.

关键词： Visualization Ultrasonic variables measurement radar measurements Microcontrollers radar detection radar radar tracking Motors Acoustics Liquid crystal displays

来源：评论

学校读者我要写书评

暂无评论

Data Fusion Approach for Unmodified UAV Tracking with Vision and mmWave radar

Data Fusion Approach for Unmodified UAV Tracking with Vision...

引用

International conference on Unmanned Aircraft Systems (ICUAS)

作者： Guilherme Amaral João J. Martins Pedro Martins André Dias José Almeida Eduardo Silva INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal ISEP Polytechnic of Porto rua Dr. António Bernardino de Almeida Porto Portugal

ISBN: (数字)9798331513283

ISBN: (纸本)9798331513290

The knowledge of the precise 3D position of a target in tracking applications is a fundamental requirement. The lack of a low-cost single sensor capable of providing the three-dimensional position (of a target) makes it necessary to use complementary sensors together. This research presents a Local Positioning System (LPS) for outdoor scenarios, based on a data fusion approach for unmodified UAV tracking, combining a vision sensor and mmWave radar. The proposed solution takes advantage of the radar's depth observation ability and the potential of a neural network for image processing. We have evaluated five data association approaches for radar data cluttered to get a reliable set of radar observations. The results demonstrated that the estimated target position is close to an exogenous ground truth obtained from a Visual Inertial Odometry (VIO) algorithm executed onboard the target UAV. Moreover, the developed system's architecture is prepared to be scalable, allowing the addition of other observation stations. It will increase the accuracy of the estimation and extend the actuation area. To the best of our knowledge, this is the first work that uses a mmWave radar combined with a camera and a machine learning algorithm to track a UAV in an outdoor scenario.

关键词： Visualization Target tracking radar clutter Airborne radar Data integration radar imaging Vision sensors radar tracking Autonomous aerial vehicles Millimeter wave communication

来源：评论

学校读者我要写书评

暂无评论

Multiagent Adaptive Points Cloud Clustering For Millimeter Wave MIMO radar

Multiagent Adaptive Points Cloud Clustering For Millimeter W...

引用

sensors and Information technology (ICSI), International conference on

作者： Ziping Wei Yongchun Chen Bingsen Liu Bin Li China Telecom Satellite Application Technology Research Institute Beijing China Beijing university of posts and telecommunications School of information and communication engineering Beijing China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

Multiple-input multiple-output (MIMO) millimeter wave (mm Wave) radar is one of the indispensable sensor for automatic driving, which enables the high-accurate environment sensing. Different with the classical radar system, each target is now detected as much reflection points in MIMO mmWave radar system. To further classify different targets and reduce the tracking overhead, it is necessary to cluster the detection points belonging to the same physical object, whilst traditional algorithms fail to provide the robust clustering performance of common moving targets of MIMO mmWave radars. In this work, we propose a novel multi-agent adaptive points cloud clustering (MAPCC) scheme, which aims to improve the points clustering accuracy and robustness and only requires the clustering radius. Our new proposed MAPCC method firstly divides four epsilon neighborhoods of each detection point based on the clustering radius, and meanwhile develops one strategy to calculate the corresponding similarity. On this basis, we then move each detection point to the epsilon neighborhood with largest similarity, and finally update the label. As illustrated by the numerical simulations and real experiments, our new MAPCC method achieves more accurate and robust point cloud clustering performance comparing to traditional algorithms.

关键词： Point cloud compression Accuracy Target tracking MIMO radar Clustering algorithms radar detection Millimeter wave radar radar tracking Numerical simulation Millimeter wave communication

来源：评论

学校读者我要写书评

暂无评论

Exploring Antenna Placement Configurations with a radar-based Silent Speech Interface

Exploring Antenna Placement Configurations with a Radar-base...

引用

International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： João Menezes Martin Schütze Petr Schaffer Dirk Plettemeier Peter Birkholz Inst. of Acoustics and Speech Communication Dresden University of Technology Dresden Germany Inst. of Communication Technology Dresden University of Technology Dresden Germany

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Silent Speech Interfaces (SSIs) are systems developed to reconstruct speech based on non-acoustic bio-signals generated by brain, muscular or articulatory activity. A broad variety of sensing methods have been employed in SSIs, but determining a single optimal sensor configuration is generally a challenge. This work focuses on investigating sensing configurations for an on-body radar-based SSI and evaluating them based on their phoneme recognition performance. Audio and radar data were recorded synchronously by 8 native German speakers. One emitting and two receiving antennas were placed on the cheeks of each speaker in three different configurations, which were evaluated by nested cross-validated Support Vector Machines (SVMs). With these sensing configurations, higher accuracies than in previous works with on-body radar-based SSIs were achieved for individual speakers and for a multi-speaker evaluation. This work succeeds to produce an antenna placement guideline for future recordings with similar SSIs.

关键词： Support vector machines Receiving antennas Speech recognition radar radar antennas Acoustics sensors Recording Speech processing Guidelines

来源：评论

学校读者我要写书评

暂无评论

Optimization of Beamwidth in Automotive radars Based on Statistics of Street Geometry

Optimization of Beamwidth in Automotive Radars Based on Stat...

引用

International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Mohammad Taha Shah Gourab Ghatak Shobha Sundar Ram Indian Institute of Technology Delhi New Delhi India Indraprashtha Institute of Information Technology Delhi New Delhi India

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

In recent years, automotive radars with enhanced cognitive abilities have been used on streets for advanced driver assistance systems to improve driving conditions. Consequently, an ego radar encounters increased automotive radar interference, which causes a significant deterioration in its performance. In this work, we propose exploiting the knowledge of street geometry statistics - specifically the street and vehicular density - to optimize the ego radar’s beamwidth. We model the street geometry as a binomial line process with higher street density at the city centers and wider spatial separation between streets in the sub-urban outer areas. The distribution of vehicles on each street is then modeled as a homogeneous one-dimensional Poisson point process. The resulting binomial line Cox process-based stochastic geometry analysis enables a cognitive automotive radar to optimize its beamwidth to maximize detection performance.

关键词： Geometry Road transportation Urban areas Stochastic processes radar detection radar Interference sensor phenomena and characterization Speech processing Automotive engineering

来源：评论

学校读者我要写书评

暂无评论

An Innovative Research on Intelligent Nursing Medicine Delivery Trolley

An Innovative Research on Intelligent Nursing Medicine Deliv...

引用

sensors and Information technology (ICSI), International conference on

作者： Yuling Zhong Haiming Xu Rui Yao Guangdong Polytechnic of Industry and Commerce Guangzhou China Guangdong Finance & Trade Vocational college Guangzhou China South China Normal University Guangzhou China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

With the continuous advancement of medical technology and the increasing aging population, the demand for efficient and accurate medicine delivery systems is growing. The development of intelligent delivery trolley technology presents a new opportunity to address these challenges. The trolley in this study utilizes an MPU150 inertial sensor to control the movement direction and speed, a SICK CLV60X series barcode scanner for tracking, and the Maishi OMARA medicine nursing system to detect environmental conditions within the trolley. It also supports 24/7 real-time monitoring, records temperature and humidity data, and automatically triggers alarms when these values exceed predefined limits. An LDS-03TDOF laser radar module is used for obstacle avoidance, ensuring safety for both the trolley and its cargo. The OpenMV vision module is incorporated to assist with visual monitoring. By integrating these technologies, this system enables dynamic medicine management in real time.

关键词： Temperature sensors Visualization Temperature distribution Laser radar Tracking Medical services radar tracking Real-time systems Safety Monitoring

来源：评论

学校读者我要写书评

暂无评论

DFTs-OFDM radar using Zadoff-Chu Sequence for radar-Communication Integration

DFTs-OFDM Radar using Zadoff-Chu Sequence for Radar-Communic...

引用

International conference on Computing, Networking and Communications (ICNC)

作者： Masahiro Umehira Yoshihiko Takeuchi Faculty of Science and Technology Nanzan University Nagoya Japan

ISBN: (数字)9798331520960

ISBN: (纸本)9798331520977

radar-communication integration is becoming a hot topic in next generation wireless communications such as Beyond 5G/6G and wireless LAN. As Orthogonal Frequency Division Multiplexing (OFDM) based approach has been widely used for broadband mobile wireless access, OFDM based approach is desirable to support sensing functions because of the commonality of signal processing, however the OFDM based approach has several drawbacks such as high PAPR. This paper proposes Discrete Fourier Transform spreading (DFTs)-OFDM radar using Zadoff-Chu (ZC) sequence, which is Constant Amplitude Zero Auto Correlation (CAZAC) sequence, which is suitable for radar applications, as a solution for radar-communication integration. This paper describes basic design issues such as signal format and signal processing on the proposed DFTs-OFDM radar using ZC sequence. It also shows preliminary correlation detection performance of the DFTs-OFDM radar using ZC sequence by computer simulations.

关键词： Wireless communication Wireless sensor networks Wireless LAN Computer simulation radar detection Symbols radar signal processing sensors Autocorrelation Signal resolution

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：