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

168 篇 会议

馆藏范围

168 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

155 篇 工学
- 88 篇 电气工程
- 62 篇 计算机科学与技术...
- 51 篇 软件工程
- 42 篇 测绘科学与技术
- 32 篇 信息与通信工程
- 4 篇 电子科学与技术（可...
- 3 篇 光学工程
- 2 篇 航空宇航科学与技...
- 1 篇 仪器科学与技术
- 1 篇 控制科学与工程
- 1 篇 交通运输工程
- 1 篇 船舶与海洋工程
- 1 篇 生物工程
- 1 篇 安全科学与工程
78 篇 医学
- 78 篇 临床医学
62 篇 理学
- 59 篇 物理学
- 3 篇 数学
- 2 篇 统计学（可授理学、...
- 1 篇 海洋科学
- 1 篇 地球物理学
- 1 篇 生物学
2 篇 管理学
- 1 篇 管理科学与工程(可...
- 1 篇 工商管理
- 1 篇 图书情报与档案管...

主题

23 篇 target tracking
22 篇 sensors
21 篇 data association
19 篇 target detection
18 篇 detection and tr...
14 篇 multiple target ...
14 篇 data fusion
13 篇 signal to noise ...
12 篇 radar
12 篇 filtering (signa...
11 篇 bayesian methods
10 篇 signal processin...
10 篇 particle filters
9 篇 electronic filte...
8 篇 sensor data fusi...
8 篇 tracking
8 篇 multitarget trac...
7 篇 monte carlo meth...
6 篇 filtering
6 篇 error analysis

机构

8 篇 cyberrnd inc cul...
7 篇 univ calif san d...
6 篇 univ connecticut...
4 篇 univ connecticut...
3 篇 qinetiq ltd malv...
3 篇 mcmaster univ de...
3 篇 numerica corp ft...
3 篇 numerica corp lo...
3 篇 usn ctr surface ...
3 篇 univ connecticut...
2 篇 lockheed martin ...
2 篇 cub def applicat...
2 篇 univ melbourne d...
2 篇 thales nederland...
2 篇 univ connecticut...
2 篇 raytheon co el s...
2 篇 mcmaster univ de...
2 篇 univ new orleans...
2 篇 mcmaster univ ec...
2 篇 national key lab...

作者

12 篇 kirubarajan t
11 篇 bar-shalom y
8 篇 kirubarajan t.
6 篇 blair wd
6 篇 sinha a
5 篇 bar-shalom yaako...
5 篇 drummond oliver ...
4 篇 sworder dd
4 篇 maskell s
4 篇 drummond oe
4 篇 danford scott
4 篇 boyd je
4 篇 willett p
3 篇 blair w. dale
3 篇 willett peter
3 篇 gray je
3 篇 kragel bret d.
3 篇 sinha a.
3 篇 hernandez ml
3 篇 lim et

语言

167 篇 英文
1 篇 中文

检索条件"任意字段=25th SPIE Conference on Signal and Data Processing of Small Targets"

共 168 条记录，以下是41-50 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：

Tracking and classification using aspect-dependent RCS and kinematic data

Tracking and classification using aspect-dependent RCS and k...

引用

20th conference on signal and data processing of small targets

作者： Sutharsan, S. tharmarasa, R. Lang, T. Kirubarajan, T. McMaster Univ ECE Dept Estimat Tracking & Fus Lab ETFLab Hamilton ON Canada Gen Dynam Canada Ltd Ottawa ON Canada

ISBN: (纸本)9780819471604

the joint target tracking and classification using target-to-sensor aspect-dependent Radar Cross Section (RCS) and kinematic data for multistatic sonar network is presented in this paper. the scattered signals measured from different orientations of a target may vary due to aspect-dependant RCS. A complex target may contain several dozen significant scattering centers and dozens of other less significant scatterers. Because of this multiplicity of scatterers, the net RCS pattern exhibits high variation with aspect angle. thus, radar cross sections from multiple aspects of a target, which are obtained via multiple sensors, will help in accurately determining the target class. By modeling the deterministic relationship that exits between RCS and target aspect, both the target class information and the target orientation can be estimated. Kinematic data are also very helpful in determining the target class as it describes the target motion pattern and its orientation. the proposed algorithm exploits the inter-dependency of target state and the target class using aspect-dependent RCS and kinematic information in order to improve both the state estimates and classification of each target. the simulation studies demonstrate the merits of the proposed joint target tracking and classification algorithm based on aspect-dependant RCS and kinematic information.

关键词： a spect-dependent RCS joint tracking and classification target-to-sensor orientation kinematic information multistatic sensor network

来源：评论

学校读者我要写书评

暂无评论

Track covariance compensation for data misassociations: Simplifications for reduced complexity - art. no. 696916

Track covariance compensation for data misassociations: Simp...

引用

20th conference on signal and data processing of small targets

作者： Drummond, Oliver E. CyberRnD Inc Culver City CA 90230 USA

ISBN: (纸本)9780819471604

the primary components of a target track are the estimated state vector and its error variance-covariance matrix (or simply the covariance). the estimated state indicates the location and motion of the target. the track covariance is intended to indicate the uncertainty or inaccuracy of the target state estimate. the covariance is computed by the track processor and may or may not realistically indicate the inaccuracy of the state estimate. Covariance Consistency is the property that a computed variance-covariance matrix realistically represents the covariance of the actual errors of the estimate. the computed covariance of the state estimation error is used in the computations of the data association processing function and the estimation filter;consequently, degraded track consistency might cause misassociations (correlation errors) and degraded filter processing that can degrade track performance. the computed covariance of the state estimation error is also used by downstream functions, such as the network-level resource management functions, to indicate the accuracy of the target state estimate. Hence, degraded track consistency can mislead those functions and the war fighter about accuracy of each target track. In the development of target trackers, far more attention has been given to improving the accuracy of the estimated target state than in improving the track covariance consistency. this paper addresses covariance compensation to reduce the degradation of consistence due to potential misassociations in measurement fusion using single-frame data association. this compensation approach used is also applicable to other fusion approaches and to tracking with data from a single sensor. this paper presents simplifications in some of the processing of the covariance compensation to reduce the processing complexity, i.e. processor load.

关键词： covariance consistency variance-covariance matrix covariance compensation for misassociations target tracking multiple sensor tracking sensor data fusion track error variance-covariance matrix Bayesian methods uncertainty estimation credibility filtering

来源：评论

学校读者我要写书评

暂无评论

Track covariance compensation for data misassociations: Alternative data association algorithms - art. no. 696911

Track covariance compensation for data misassociations: Alte...

引用

20th conference on signal and data processing of small targets

作者： Drummond, Oliver E. CyberRnD Inc Culver City CA 90230 USA

ISBN: (纸本)9780819471604

the primary components of a target track are the estimated state vector and its error variance-covariance matrix (or simply the covariance). the estimated state indicates the location and motion of the target. the track covariance is intended to indicate the uncertainty or inaccuracy of the target state estimate. the covariance is computed by the track processor and may or may not realistically indicate the inaccuracy of the state estimate. Covariance Consistency is the property that a computed variance-covariance matrix realistically represents the covariance of the actual errors of the estimate. the computed covariance of the state estimation error is used in the computations of the data association processing function and the estimation filter;consequently, degraded track consistency might cause misassociations (correlation errors) and degraded filter processing that can degrade track performance. the computed covariance of the state estimation error is also used by downstream functions, such as the network-level resource management functions, to indicate the accuracy of the target state estimate. Hence, degraded track consistency can mislead those functions and the war fighter about accuracy of each target track. In the development of target trackers, far more attention has been given to improving the accuracy of the estimated target state than in improving the track covariance consistency. this paper addresses covariance compensation to reduce the degradation of consistence due to potential misassociations in measurement fusion using single-frame data association. this compensation approach used is also applicable to other fusion approaches and to tracking with data from a single sensor. this paper also shows how this compensation approach can be applied to a variety of data association algorithms.

来源：评论

学校读者我要写书评

暂无评论

A design of high performance infrared search and track system using dual band I-D sensors

A design of high performance infrared search and track syste...

引用

34th conference on Infrared Technology and Applications

作者： Joung, Shichang Choi, Byungin Nam, Sanghoon Youn, Jungsu Yang, Yukyung Lee, Joohyoung Samsung Thales Co Ltd Yongin 446712 Gyeonggi South Korea

ISBN: (纸本)9780819471314

In the maritime environment, the main goals of an infrared search and track system is to search and track the targets approaching to ships, such as sea skimming missiles, small ships, and aircrafts. In this paper, we propose a high performance infrared search and track system. Our proposed infrared search and track system is composed of a dual band infrared detection module, signal processing module, servo control module, and control console module. In the dual band infrared detection module, the sensor head of our proposed system is organized by one-dimensional MWIR and LWIR detectors (480X6) with 3-axes servo stabilization. the signal-processing module consists of several blocks such as a target detection block, target tracking block, panoramic video displaying block, video input/output block, and system control block. those blocks perform the signal-processing algorithms involved with target search and tracking. In our proposed system, adaptive temporal and spatial filtering methods, which can reduce background clutters effectively, are used for target detection. Moreover, the extended Kalman filter and the integrated probabilistic data association (IPDA) algorithm are adapted for target tracking. therefore, our proposed infrared search and track system can increase the defense ability of warships due to long range and high accuracy of target detection and tracking.

关键词： Infrared search and track target detection target tracking dual band MWIR LWIR Kalman filter integrated probabilistic data association

来源：评论

学校读者我要写书评

暂无评论

Simulation of signal and data processing for a pair of GEO IR sensors

Simulation of signal and data processing for a pair of GEO I...

引用

19th conference on signal and data processing of small targets

作者： Keil, Karl-Heinz Hupfer, Werner EADS Astrium GmbH Bremen Germany

ISBN: (纸本)9780819468475

this paper describes experiences and results from developing a basic signal and data processing simulation for a pair of GEO IR sensors observing the boost phase of theater Ballistic Missiles (TBM). the goal of such a system is the detection of launched TBM, also against a cloud background, and the tracking from cloud break ideally up to boost-end. Two GEO satellites are used for stereo view of one and the same non-global limited Field-of-Regard (FOR). they are positioned in such a way that both cover the FOR and provide a sufficient triangulation baseline. signal processing is applied for each of both passive IR sensors in order to detect and track the TBM on the focal plane. the applied approach can be summarized under the term 'velocity filtering'. data processing operates on the 2-D signal processing input from both IR sensors, i.e. azimuth and elevation line-of-sight (LOS) angles as well as their rates. the goal is to provide 3-D tracks of the targets, which can be used to cue early warning or fire control radars. the underlying simulation model constitutes a prototype and vehicle for further research. Nevertheless, even in its current stage it provides a first tool for the analysis and evaluation of corresponding sensor design concepts.

关键词： signal processing data processing Satellites Filtering (signal processing) Digital filtering Sensors Clouds Infrared sensors Target detection Optical filters

来源：评论

学校读者我要写书评

暂无评论

Hybrid radar signal fusion for unresolved target detection

Hybrid radar signal fusion for unresolved target detection

引用

19th conference on signal and data processing of small targets

作者： Nandakumaran, N. Sinha, A. Kirubarajan, T. McMaster Univ Dept Elect & Comp Engn ETF Lab Hamilton ON Canada

ISBN: (纸本)9780819468475

Radar systems have good radial resolution, but they have poor angular resolution that results in unresolved measurements. this problem can be mitigated by utilizing the spatial diversity of multistatic radar system. In this paper, the detection of unresolved targets with a hybrid radar system using signal level fusion is considered. the system consists of two receivers: one is co-located with the transmitter and the other is located far from the transmitter. the area of interest, where the transmitter is focused on, is divided into grids, which are formed by circular range bins of the monostatic receiver and elliptical range bins of the bistatic receiver. Assuming these grids are good enough to resolve the targets (i.e., each grid has at most one target and vice versa), the amplitudes of the targets (corresponding to all grids) that maximize the likelihoods of the signals obtained from both receivers are determined. these optimum values are then compared against a threshold for the final decision. Simulation studies are performed to demonstrate the proposed algorithm for hybrid radar system with unresolved targets. the simulation results confirm the enhancement in detection of unresolved targets by fusing coherently received signals from both monostatic and bistatic receivers.

关键词： unresolved targets closely-spaced targets hybrid radar bistatic radar signal fusion

来源：评论

学校读者我要写书评

暂无评论

Evaluation of a posteriori probabilities of multi-frame data association hypotheses

Evaluation of a posteriori probabilities of multi-frame data...

引用

19th conference on signal and data processing of small targets

作者： Mori, Shozo Chong, Chee BAE Syst Adv Informat Technol 5050 El Camino RealSuite 200 Los Altos CA 94022 USA

ISBN: (纸本)9780819468475

this paper discusses the problem of numerically evaluating multi-frame, data association hypotheses in multiple-target tracking in terms of their a posteriori probabilities. We describe two approaches to the problem: (1) an approach based on K-best multi-frame data association hypothesis selection algorithms, and (2) a more direct approach to calculating a posteriori probabilities through Markov-chain-Monte-Carlo (MCMC) or sequential Monte Carlo (SMC) methods. this paper defines algorithms based on those two approaches and compares their performance, and it discusses their relative effectiveness, using simple numerical examples.

关键词： multiple target tracking track-oriented multiple-hypothesis tracking (MHT) multiple-frame data association hypothesis K-best multiple-frame hypothesis selection Markov-chain-Monte-Carlo (MCMC) method sequential Monte Carlo (SMC) method

来源：评论

学校读者我要写书评

暂无评论

Simulation assessment of RCS-aided multiple target tracking

Simulation assessment of RCS-aided multiple target tracking

引用

19th conference on signal and data processing of small targets

作者： Dunham, Darin T. Ehrman, Lisa. M. Blair, W. Dale Frost, Susan A. Vectraxx Inc Glen Allen VA 23059 USA Georgia Inst Technol Sensors & Electromagnet Applicat Lab Georgia Tech Res Inst Atlanta GA 30332 USA Vectraxx Inc Ft Collins CO 80521 USA

ISBN: (纸本)9780819468475

Closely-spaced (but resolved) targets pose a significant challenge for single-frame unique measurement-to-track data association algorithms. this is due to the similarity of the Mahalanobis distances between the closely-spaced measurements and tracks. Contrary to conventional wisdom, adding target feature information (e.g target amplitude) does not necessarily improve the probability of correctly assigning measurements to tracks. In this paper, the theoretical limitations of using radar cross section (RCS) data to aid in measurement-to-track association are reviewed. the results of a hi,h-fidelity simulation assessment of the benefits of RCS-aided measurement-to-track association (using the signal-to-Noise Ratio) are given and other possibilities for RCS-aided tracking are discussed. Namely, we show the analytical results of our investigation into using RCS information to determine the presence of merged measurements.

关键词： signal to noise ratio Target detection Sensors Switches Kinematics Radar Mahalanobis distance signal processing Time metrology Detection and tracking algorithms

来源：评论

学校读者我要写书评

暂无评论

Bias estimation using targets of opportunity

Bias estimation using targets of opportunity

引用

19th conference on signal and data processing of small targets

作者： Kragel, Bret D. Danford, Scott Herman, Shawn M. Poore, Aubrey B. Numer Corp 4850 Hahns Peak Dr Loveland CO 80538 USA

ISBN: (纸本)9780819468475

Fusion of data from multiple sensors can be hindered by systematic errors known as biases. Specifically, the presence of biases can lead to data misassociation and redundant tracks. Fortunately, if an estimate of the unknown biases can be obtained, the measurements and transformations for each sensor can be debiased prior to fusion. In this paper, we present an algorithm that uses targets of opportunity in the sensor field-of-view for online estimation of time-variant biases. the algorithm uses the singular value decomposition (SVD) to automatically handle the issue of parameter observability during tracking, allowing for shorter estimation windows and more accurate bias estimation. Our approach extends the novel methods proposed in the companion paper(1) by Herman and Poore that used the SVD within a nonlinear least-squares estimator to handle the issue of parameter observability during offline estimation of time-invariant biases using truth data.

关键词： bias estimation sensor registration gridlock nonlinear least-squares singular value decomposition bias observability

来源：评论

学校读者我要写书评

暂无评论

MHT tracking for crossing sonar targets

MHT tracking for crossing sonar targets

引用

19th conference on signal and data processing of small targets

作者： Willett, Peter Luginbuhl, Tod Giannopoulos, Evangelos Univ Connecticut Dept ECE Storrs CT 06269 USA Naval Undersea Warfare Ctr Newport RI 02841 USA

ISBN: (纸本)9780819468475

Sometimes radar targets cross and become unresolved;this is a concern, but with a reasonable track depth and an appropriate merged-measurement model the concern is considerably mitigated. Sonar targets, however, can become merged (in the same beam) for considerably longer, particularly with bearing-only measurements. In such cases the crossing times can be 100 scans long, and no reasonable depth exists for an multi-frame tracker that can "see" both ends of the merged period. Further, there is a demonstrable tendency for estimated targets to repel each other as they are being tracked. In this paper we explore the hypothesis-oriented multi-hypothesis tracker (HO-MHT), an MHT approach that uses the new "rollout" optimization insight and the to give an appropriate and cost-effective means to rank hypotheses, and also the PMHT tracker that operates on batches of scans with linear computational complexity in most quantities. We show results in terms of estimation error (RMSE), consistency (NEES) and computational effort in both linear and beam-space tracking scenarios.

关键词： tracking MHT PMHT unresolved targets sonar

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17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：