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81-90 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：

Joint detection and tracking of unresolved targets with a joint-bin processing monopulse radar - art. no. 62360T

Joint detection and tracking of unresolved targets with a jo...

引用

18th conference on signal and data processing of small targets

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

ISBN: (纸本)0819462926

Detection and estimation of multiple unresolved targets with a monopulse radar is limited by the availability of information in monopulse signals. the maximum possible number of targets that can be extracted from the monopulse signals of a single bin is two. Recently two approaches have been proposed in the literature to overcome this limitation. the first is joint-bin processing that exploits target spill-over among adjacent cells by modeling the target returns in the adjacent cells. In addition to making use of the additional information available in target spill-over, it handles a more practical problem where the usual assumption of ideal sampling is relaxed. the second approach is to make use of tracking information in detection through joint detection and tracking with the help of Monte Carlo integration of a particle filter. It was shown that the extraction of even more targets is possible with tracking information. In this paper, a new approach is proposed to combine make the best of these two approaches - a new joint detection and tracking algorithm with multibin processing. the proposed method increases the detection ability as well as tracking accuracy. Simulation studies are carried out. with amplitude comparison monopulse radar for an unresolved target scenario. the relative performances of various methods are also provided.

关键词： U nresolved targets closely-spaced targets monopulse radar multitarget tracking particle filters joint-bin processing

来源：评论

学校读者我要写书评

暂无评论

Poisson models for extended target and group tracking

Poisson models for extended target and group tracking

引用

17th conference on signal and data processing of small targets

作者： Gilholm, K Godsill, S Maskell, S Salmond, D QinetiQ Farnborough GU1 0LX Hants England

ISBN: (纸本)0819459186

It is common practice to represent a target group (or an extended target) as set of point sources and attempt to formulate a tracking filter by constructing possible assignments between measurements and the sources. We suggest an alternative approach that produces a measurement model (likelihood) in terms of the spatial density of measurements over the sensor observation region. In particular, the measurements are modelled as a Poisson process with a spatially dependent rate parameter. this representation allows us to model extended targets as an intensity distribution rather than a set of points and, for a target formation, it gives the option of modelling part of the group as a spatial distribution of target density. Furthermore, as a direct consequence of the Poisson model, the measurement likelihood may be evaluated without constructing explicit association hypotheses. this considerably simplifies the filter and gives a substantial computational saving in a particle filter implementation. the Poisson target-measurement model will be described and its relationship to other filters will be discussed. Illustrative simulation examples will be presented.

关键词： target tracking extended targets Poisson models particle filters

来源：评论

学校读者我要写书评

暂无评论

Analysis and optimization of a class of nonlinear detection filters

Analysis and optimization of a class of nonlinear detection ...

引用

13th conference on signal and data processing of small targets

作者： Singer, PF Raytheon Co El Segundo CA 90245 USA

ISBN: (纸本)0819441872

It is well known that the matched filter is the optimal linear detection filter but, this allows for the possible existence of a nonlinear detection filter with better performance. this paper considers the class of nonlinear detection filters that are composed of a linear filter followed by an arbitrary point process. the result is general enough to include detection paradigm in which the signal model is not additive. the ROC (receiver operating characteristic) curve of a general point process is analyzed. this analysis reveals that nonreversibility and not nonlinearity of the point process is responsible for the improvement of the ROC curve. that is, an reversible point process, either linear or nonlinear, leaves the ROC curve unchanged. However, a nonreversible point process will alter the ROC curve. this result is used to define a canonical ROC curve which is then utilized to derive the optimal point process, Several simple forms of the point process are considered first then the general optimal point process is derived. the technique is illustrated with several examples. Results for the special cases of unimodal signal densities receive particular attention.

关键词： detection filter nonlinear nonreversible receiver operating characteristic signal model

来源：评论

学校读者我要写书评

暂无评论

Passive tracking with sensors of opportunity using passive coherent location - art. no. 69691F

Passive tracking with sensors of opportunity using passive c...

引用

20th conference on signal and data processing of small targets

作者： Subramaniam, Mahes tharmarasa, R. McDonald, Mike Kirubarajan, T. McMaster Univ ECE Dept ETF Lab Hamilton ON Canada

ISBN: (纸本)9780819471604

Passive coherent location (PCL), which uses the commercial signals as illuminators of opportunity, is an emerging technology in air defense systems. the advantages of PCL are low cost, low vulnerability to electronic counter measures, early detection of stealthy targets and low-altitude detection. However, limitations of PCL include lack of control over illuminators, poor bearing accuracy, time-varying sensor parameters and limited observability. In this paper, multiple target tracking using PCL with high bearing error is considered. In this case, the challenge is to handle high nonlinearity due to high measurement error. In this paper, we implement the converted measurement Kalman filter, unscented Kalman filter and particle filter based PHD filter for PCL radar measurements and compare their performances.

关键词： passive radar system passive coherent location multitarget tracking data association covert tracking sensors of opportunity

来源：评论

学校读者我要写书评

暂无评论

New approach to detect dim moving point targets based on motion analysis

New approach to detect dim moving point targets based on mot...

引用

13th conference on signal and data processing of small targets

作者： Dong, NL Jin, G Qi, B Ma, JG Chinese Acad Sci Inst Opt & Elect Chengdu 610209 Peoples R China

ISBN: (纸本)0819441872

Dim point targets detection in highly cluttered backgrounds is a challenging problem. In this paper we describe the development and the implementation of a new effective methodology to detect moving point targets in infrared or visual images. the new approach is based on mathematical morphology and motion analysis. First, the image is filtered by means of gray-scale morphology in order to reject background objects. then, with the residual image a motion analysis based on trajectory conjunction is carried out to extract the potential point like moving targets. In the motion analysis stage we define a function to describe the characteristics of moving targets, and by this means a strategy is constructed to judge whether or not a given area contains the potential moving target. through motion analysis, the non-target points are kicked out while the true target points are detected out after merely several frames of image. this approach doesn't depend on threshold techniques and requires no assumptions about the behavior of the target motion. the only limitation is that the target's speed doesn't exceed several pixels per frame. A test study based on available database is presented, and the results so far indicate that this approach to detect moving point target is highly effective.

关键词： low contrast point target detection nonlinear image processing motion analysis mathematical morphology small target

来源：评论

学校读者我要写书评

暂无评论

Radar measurement noise variance estimation with several targets of opportunity - art. no. 62360M

Radar measurement noise variance estimation with several tar...

引用

18th conference on signal and data processing of small targets

作者： Osborne, Richard W., III Bar-Shalom, Yaakov Univ Connecticut Storrs CT USA

ISBN: (纸本)0819462926

A number of methods exist to track a target's uncertain motion through space using inherently inaccurate sensor measurements. A powerful method of adaptive estimation is the interacting multiple model (IMM) estimator. In order to carry out state estimation from the noisy measurements of a sensor, however, the filter should have knowledge of the statistical characteristics of the noise associated with that sensor. the statistical characteristics (accuracies) of real sensors, however, are not always available, in particular for legacy sensors. this paper presents a method of determining the measurement noise variances of a sensor by using multiple IMM estimators while tracking targets whose motion is not known - targets of opportunity. Combining techniques outlined in [1] and [3], the likelihood functions are obtained for a number of IMM estimators, each with different assumptions on the measurement noise variances. then a search is carried out to bracket the variances of the sensor measurement noises. the end result consists of estimates of the measurement noise variances of the sensor in question.

关键词： tracking noise estimation

来源：评论

学校读者我要写书评

暂无评论

Efficiency and sensitivity of methods for assessing ambiguity in data association decisions

Efficiency and sensitivity of methods for assessing ambiguit...

引用

20th conference on signal and data processing of small targets

作者： Kragel, Bret D. Herman, Shawn M. Roseveare, Nick J. Numerica Corp Loveland CO USA

ISBN: (纸本)9780819471604

the central problem in multitarget, multisensor surveillance is that of determining which reports from separate sensors arise from common objects. Due to stochastic errors in the source reports, there may be multiple data association hypotheses with similar likelihoods. Moreover, established methods for performing data association make fundamental modeling assumptions that hold only approximately in practice. For these reasons, it is beneficial to include some measure of uncertainty, or ambiguity, when reporting association decisions. In this paper, we perform an analysis of the benefits versus runtime performance of three methods of producing ambiguity estimates for data association: enumeration of the k-best data association hypotheses, importance sampling, and Markov Chain Monte Carlo estimation. In addition, we briefly examine the sensitivity of ambiguity estimates to violations of the stochastic model used in the data association procedure.

关键词： multitarget tracking data association importance sampling Markov Chain Monte Carlo murty's method k-best enumeration

来源：评论

学校读者我要写书评

暂无评论

the probability of misassociation between neighboring targets

The probability of misassociation between neighboring target...

引用

20th conference on signal and data processing of small targets

作者： Areta, Javier A. Bar-Shalom, Yaakov Rothrock, Ronald Univ Connecticut Storrs CT 06269 USA Sparta Syst Inc Arlington VA 22209 USA

ISBN: (纸本)9780819471604

this paper presents procedures to calculate the probability that the measurement originating from an extraneous target will be (mis)associated with a target of interest for the cases of Nearest Neighbor and Global association. It is shown that these misassociation probabilities depend., under certain assumptions, on a particular - covariance weighted - norm of the difference between the targets' predicted measurements. For the Nearest Neighbor association, the exact solution, obtained for the case of equal innovation covariances, is based on a noncentral chi-square distribution. An approximate solution is also presented for the case of unequal innovation covariances. For the Global case an approximation is presented for the case of "similar" innovation covariances. In the general case of unequal innovation covariances where this approximation fails, an exact method based on the inversion of the characteristic function is presented. the theoretical results, confirmed by Monte Carlo simulations, quantify the benefit of Global vs. Nearest Neighbor association. these results are applied to problems of single sensor as well as centralized fusion architecture multiple sensor tracking.

关键词： Monte Carlo methods Sensors Matrices Target detection Detection and tracking algorithms Radar signal to noise ratio Algorithm development Distance measurement Sensor fusion

来源：评论

学校读者我要写书评

暂无评论

A range rate based detection technique for tracking a maneuvering target

A range rate based detection technique for tracking a maneuv...

引用

17th conference on signal and data processing of small targets

作者： Ru, JF Chen, HM Li, XR Chen, GH Univ New Orleans Dept Elect Engn New Orleans LA 70148 USA

ISBN: (纸本)0819459186

In this paper a novel approach for detecting unknown target maneuver using range rate information is proposed based on the generalized Page's test with the estimated target acceleration magnitude. Due to the high nonlinearity between the range rate measurement and the target state, a measurement conversion technique is used to treat rancre rate as a linear measurement in Cartesian coordinates so that a standard Kalman filter can be applied. the detection performance of the proposed algorithm is compared with that of existing maneuver detectors over various target maneuver motions. In addition, a model switching tracker based on the proposed maneuver detector is compared with the state-of-the-art IMM estimator. the results indicate the effectiveness of the maneuver detection scheme which simplifies the tracker design. the tracking performance is also evaluated using a steady state analysis.

关键词： Target detection Motion models Sensors Error analysis Filtering (signal processing) Detection and tracking algorithms Switching Motion estimation Performance modeling Radar

来源：评论

学校读者我要写书评

暂无评论

A Bayesian network tracking database

A Bayesian network tracking database

引用

16th conference on signal and data processing of small targets

作者： Obermeyer, FH Poore, AB Numer Corp Ft Collins CO USA

ISBN: (纸本)081945351X

Most maximum likelihood (ML) trackers based on measurement fusion (measurement-to-measurement or measurement-to-track) or track-to-track fusion produce a single data association hypothesis together with kinematic track state estimates. Uncertainty in the track states due to process and measurement noise is represented by covariance matrices, however uncertainty in the data association is either entirely neglected or representative of only limited types of association uncertainty. this paper presents a Bayesian-Network uncertainty management system for use in conjunction with maximum-likelihood trackers. the system, termed the Bayesian Network Tracking database (BNTD) comprises algorithms for interactive access, whereby expectation values of arbitrary track properties can be calculated over all association hypotheses, and algorithms and data-structures for long-term storage, whereby the complete set of association hypotheses can be efficiently approximated, even over long time intervals. A conjoined MLE/BNTD system is thus capable of supporting target identification (ID), feature-aided tracking, and long-term track maintenance (LTTM).

关键词： Bayesian network tracking database data association multiple hypothesis tracking uncertainty management

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 << < 5 6 7 8 9 10 11 12 13 14 > >>

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：