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51-60 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：

Map integration in tracking

Map integration in tracking

引用

19th conference on signal and data processing of small targets

作者： Sworder, David D. Boyd, John E. Hutchins, R. G. Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA Cub Def Applicat San Diego CA 92186 USA Naval Postgrad Sch Dept EECE Monterey CA USA

ISBN: (纸本)9780819468475

A multiple model tracking algorithm has considerable advantage when the target is moving on a road grid. A map-enhanced algorithm magnifies this by excluding large regions of the 2D motion-space from search. However, integrating the grid of streets and junctions into a recursive algorithm is challenging. this paper presents a map-enhanced, tracker that uses local models tuned to motions on the four cardinal directions. Map compliance is achieved by re-initializing the local kinematic state when a modal change occurs and by moving the local estimate to the map after a measurement update. Unfortunately, the transition dynamics of the modal state depend upon the kinematic state. A proposed junction influence function is based upon a rapidly decaying measure of the distance from the target to the nearest compatible junction.

关键词： nonlinear filters target tracking data fusion

来源：评论

学校读者我要写书评

暂无评论

Joint MAP bias estimation and data association: Simulations

Joint MAP bias estimation and data association: Simulations

引用

19th conference on signal and data processing of small targets

作者： Danford, Scott Kragel, Bret Poore, Aubrey Numer Corp POB 271246 Ft Collins CO 80527 USA

ISBN: (纸本)9780819468475

the problem of joint maximum a posteriori (MAP) bias estimation and data association belongs to a class of nonconvex mixed integer nonlinear programming problems. these problems are difficult to solve due to both the combinatorial nature of the problem and the nonconvexity of the objective function or constraints. Algorithms for this class of problems have been developed in a companion paper of the authors. this paper presents simulations that compare the "all-pairs" heuristic, the k-best heuristic, and a partial A*-based branch and bound algorithm. the combination of the latter two algorithms is an excellent candidate for use in a realtime system. For an optimal algorithm that also computes the k-best solutions of the joint MAP bias estimation problem and data association problem, we investigate a branch and bound framework that employs either a depth-first algorithm or an A*-search procedure. In addition, we demonstrate the improvements due to a new gating procedure.

关键词： MAP bias estimation data association heuristics A*-search branch and bound K-best solutions nonconvex MINLP

来源：评论

学校读者我要写书评

暂无评论

Comparison of bias removal algorithms in track-to-track association

Comparison of bias removal algorithms in track-to-track asso...

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 compares the performance of several algorithms for estimating relative sensor biases when two sets of sensor tracks from two sensor systems are to be fused to form system tracks. the primary focus of this paper is the algorithms' performance, particularly in terms of the mean-square estimation error criterion. the efficiency of the algorithms is not our focus for this study. We are especially interested in three estimation algorithms: (1) the joint track-association/relative-bias-estimation maximum a posteriori (MAP) probability-density/probability-mass function algorithm;(2) the marginal MAP probability density estimation algorithm;and (3) the minimum-variance (MV) estimation algorithm. those algorithms rely on the capability of generating and evaluating multiple significant track-to-track association hypotheses, which may be obtained by any of the recently developed k-best bipartite data assignment algorithms. Several other algorithms that have been considered in the past will also be discussed.

关键词： multiple target tracking hierarchical data fusion track-to-track association relative bias estimation and removal

来源：评论

学校读者我要写书评

暂无评论

Tracking dim targets using integrated clutter estimation

Tracking dim targets using integrated clutter estimation

引用

19th conference on signal and data processing of small targets

作者： Brekke, Edmund Kirubarajan, thiagalingam tharmarasa, Ratnasingharn Norwegian Univ Sci & Technol Dept Engn Cybernet NO-7491 Trondheim Norway Univ Grad Ctr NO-2027 Kjeller Norway McMaster Univ Elect & Comp Engn Hamilton ON L8S 4K1 Canada

ISBN: (纸本)9780819468475

In this paper we address the problem of detecting and tracking a single dim target in unknown background noise. Several methodologies have been developed for this problem, including track-before-detect (TBD) methods which work directly on unthresholded sensor data. the utilization of unthresholded data is essential when signal-to-noise ratio (SNR) is low, since the target amplitude may never be strong enough to exceed any reasonable threshold. Several problems arise when working with unthresholded data. Blurring and non-Gaussian noise can easily lead to very complicated likelihood expressions. the back-round noise also needs to be estimated. this estimate is a random variable due to the random nature of the background noise. We propose a recursive TBD method which estimates the background noise as part of its likelihood evaluation. the background noise is estimated by averaging over nearby sensor cells not affected by the target. the uncertainty of this estimate is taken into account by the likelihood evaluation, thereby yielding a more robust TBD method. the method is implemented using sequential Monte Carlo evaluation of the optimal Bayes equations, also known as particle filtering. Simulation results show how our method allows detection and tracking to be carried out in an uncertain environment where current recursive TBD methods fail.

关键词： track-before-detect dim target clutter estimation particle filter

来源：评论

学校读者我要写书评

暂无评论

Future prospects for algorithm development of tracking related processing - art. no. 66990E

Future prospects for algorithm development of tracking relat...

引用

19th conference on signal and data processing of small targets

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

ISBN: (纸本)9780819468475

the state of the art of tracking has matured and consequently, the priorities for improved performance and expanded or new processing capabilities have changed. Future directions in algorithm development in tracking and related data processing are not easy to predict with accuracy. the future priorities of development tasks predicted in this presentation are subjective;that is, simply the author's view. While there will continue to be algorithm development to improve many aspects of tracking, the emphasis is expected to change in favor of expanded and new capabilities. this presentation will address not only those tracking algorithms that will have higher priority for continued algorithm development but also those aspects of tracking related processing that are expected to be of special interest. In addition, to facilitate this discussion, the categories of the state of the art of tracking are more finely decomposed. Many aspects of single sensor, multiple target tracking have matured during the last 20 years but room for improvement remains. In contrast, fusion of data from multiple distributed sensors is not as mature and interest is expected to continue to increase. Many fusion systems pose challenges that are not of much concern in tracking with data from a single sensor and algorithm development of those aspects of fusion will continue to be needed. the capability of the many functions and users of the output of trackers needs to be improved and expanded. Consequently, an increase is expected in the need to improve the content and quality of the output of both the single sensor and fusing trackers. the identified aspects of the new needs in tracker output are discussed and a dialog on this topic is encouraged.

关键词： multiple target tracking tracking with data from multiple sensors sensor data fusion network centric processing tracking open issues Bayesian methods Kalman filter

来源：评论

学校读者我要写书评

暂无评论

data fusion handoff within a federation of fusion systems

Data fusion handoff within a federation of fusion systems

引用

19th conference on signal and data processing of small targets

作者： Shea, Peter J. Roskamp, Bryce Black River Syst Co 17685 Juniper PathSuite 300 Lakeville MN 55044 USA

ISBN: (纸本)9780819468475

As the military continues to move forward with an increased number of sensor and fusion systems, it becomes necessary for these systems to be able to communicate efficiently and effectively. In these environments there are multiple sensor and fusion systems that in the past have operated independently of one another. As an increasing number of systems become available, eventually an overlap in the coverage area occurs between these fusion systems. this results in a need for coordination between these semi-autonomous fusion systems. Short of a complete redesign of all the fusion systems, a solution is required to address the handoff of data between these systems. the primary goal of this paper is to describe a data fusion handoff capability that is able to augment these existing systems. this is accomplished by the use of a Handoff Manager that is added to each fusion system. the Handoff Manager is responsible for developing a global representation the track information displayed onboard its own fusion system that is common with the other members of the federation of fusion systems. this is accomplished by using a global track numbering scheme that requires communication and adjudication between the multiple Handoff Manager components that are present on the different fusion systems within the federation. this paper will define the data fusion handoff problem and describe our approach for handling the data fusion handoff problem within the context of overlapping and non-overlapping sensor environments. We will conclude with a discussion of results for a sample problem and of the path forward.

关键词： data fusion tracking distributed fusion track handoff

来源：评论

学校读者我要写书评

暂无评论

Metrics for evaluating track covariance consistency

Metrics for evaluating track covariance consistency

引用

19th conference on signal and data processing of small targets

作者： Drummond, Oliver E. Ogle, Terry L. Waugh, Steve CyberRnD Inc Culver City CA 90230 USA Missile Def Agcy Washington DC USA

ISBN: (纸本)9780819468475

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 should indicate the uncertainty or inaccuracy of the 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;consequently, degraded track consistency might cause misassociations (correlation errors) that can substantially 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 how accurate each target track is. In the past, 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 performance metrics of covariance consistency. Monte Carlo simulation results illustrate the characteristics of the proposed metrics of covariance consistency.

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

来源：评论

学校读者我要写书评

暂无评论

IMM/MHT tracking with an unscented particle filter with application to ground targets

IMM/MHT tracking with an unscented particle filter with appl...

引用

19th conference on signal and data processing of small targets

作者： Lancaster, J. Blackman, S. Yu, L. Raytheon POB 902 El Segundo CA 90245 USA

ISBN: (纸本)9780819468475

Particle filter tracking, a type of sequential Monte Carlo method, has long been considered to be a very promising, but time-consuming tracking technique. Methods have been developed to include a particle filter as part of a Variable Structure, Interactive Multiple Model (VS-IMM) structure and to integrate it into the Multiple Hypothesis Tracker (MHT) scoring structure. By integrating a particle filter as just one of many filters in Raytheon's MHT, the particle filter is applied sparingly on difficult off-road targets. this dramatically reduces the computation time as well as improves tracking performance in circumstances in which the other filters do not excel. Moreover, terrain information may be taken into account in the particle propagation process. In particular, an Unscented Particle Filter (UPF) was implemented in order to address the potential dominance of a small set of degenerate particles and/or poor prior distribution sampling from hampering the ability of the particle filter to accurately handle a maneuver. the Unscented Particle Filter treats every particle as its own Kalman filter. After the distribution of particles is adjusted in order to take into account the terrain, each particle is divided into sigma point states. these sigma points are propagated forward in time and then recombined to form a new composite particle state and covariance. these reformed particles are used in scoring and can be updated with a new observation. Since the Unscented Particle Filter includes the covariances in these calculations, this particle filter approach is more accurate and potentially requires fewer particles than an ordinary particle filter. By adding an Unscented Particle Filter to the other filters in an MHT tracker, the advantages of the UPF can be utilized in an efficient manner in order to enhance tracking performance.

关键词： Ground Target Tracking Particle Filter Unscented Particle Filter Multiple Hypothesis Tracking UPF tracking applications terrain PF tracking applications

来源：评论

学校读者我要写书评

暂无评论

Computationally efficient assignment-based algorithms for data association for tracking with angle-only sensors

Computationally efficient assignment-based algorithms for da...

引用

19th conference on signal and data processing of small targets

作者： Sathyan, T. Sinha, A. Kirubarajan, T. McMaster Univ Dept Elect & Comp Engn 1280 Main St West Hamilton ON L8S 4K1 Canada

ISBN: (纸本)9780819468475

In this paper we describe computationally efficient assignment-based algorithms to solve the data association problem in synchronous passive multisensor tracking systems. A traditional assignment-based solution to this problem is to solve the measurement-to-measurement association using multidimensional (S-dimensional or S-D with S sensors) assignment formulation and the measurement-to-track association using two-dimensional assignment formulation. Even though this solution has been proven to be effective, it is computationally very expensive. One of the reasons is that in calculating the assignment cost of each possible candidate association one requires to find the maximum likelihood (ML) estimate of the unknown target state. the algorithms proposed in this paper use prior information of the targets that are being tracked to reduce the requirement for the costly ML estimation. the first algorithm is similar to the traditional two step technique except that it uses the predicted track information to avoid building the whole assignment tree in the measurement-to-measurement association. In particular, based on the predicted track information first validation gates are constructed for every target. then, when forming the assignment tree, only the branches connecting measurements that satisfy the validation gate requirement are constructed. the second algorithm is a one-step algorithm in that it directly assigns the measurements to the tracks. We pose the data association problem as an (S + 1)-D assignment with the first dimension being the predicted state information of the tracks, and the rest of the S dimensions are the lists of measurements from the sensors. the costs of each possible (S + 1)-tuple are calculated based on the predicted track information, hence, the requirement for an ML estimate is eliminated. Further, we show that when the target maneuvers are not very high, and when the sensor measurements are uncorrelated the (S + 1)-D assignment approximately

关键词： multitarget/multisensor tracking data association assignment technique auction algorithm passive sensor tracking

来源：评论

学校读者我要写书评

暂无评论

Joint MAP bias estimation and data association: Algorithms

Joint MAP bias estimation and data association: Algorithms

引用

19th conference on signal and data processing of small targets

作者： Danford, Scott Kragel, Bret Poore, Aubrey Numer Corp POB 271246 Ft Collins CO 80527 USA

ISBN: (纸本)9780819468475

the problem of joint maximum a posteriori (MAP) bias estimation and data association belongs to a class of nonconvex mixed integer nonlinear programming problems. these problems are difficult to solve due to both the combinatorial nature of the problem and the nonconvexity of the objective function or constraints. A specific problem that has received some attention in the tracking literature is that of the target object map problem in which one tries match a set of tracks as observed by two different sensors in the presence of biases, which are modeled here as a translation between the track states. the general framework also applies to problems in which the costs are general nonlinear functions of the biases. the goal of this paper is to present a class of algorithms based on the branch and bound framework and the "all-pairs" and k-best heuristics that provide a good initial upper bound for a branch and bound algorithm. these heuristics can be used as part of a real-time algorithm or as part of an "anytime algorithm" within the branch and bound framework. In addition, we consider both the A*-search and depth-first search procedures as well as several efficiency improvements such as gating. While this paper focuses on the algorithms, a second paper will focus on simulations.

关键词： MAP bias estimation data association heuristics A*-search branch and bound K-best solutions nonconvex MINLP

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 << < 2 3 4 5 6 7 8 9 10 11 > >>

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：