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

847 篇 会议
17 篇 期刊文献
1 篇 学位论文

馆藏范围

865 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

629 篇 工学
- 348 篇 电气工程
- 193 篇 计算机科学与技术...
- 185 篇 信息与通信工程
- 121 篇 软件工程
- 88 篇 航空宇航科学与技...
- 87 篇 测绘科学与技术
- 38 篇 电子科学与技术（可...
- 36 篇 仪器科学与技术
- 31 篇 控制科学与工程
- 30 篇 光学工程
- 11 篇 机械工程
- 9 篇 建筑学
- 9 篇 土木工程
- 8 篇 船舶与海洋工程
- 7 篇 生物医学工程（可授...
- 7 篇 安全科学与工程
- 6 篇 水利工程
- 6 篇 化学工程与技术
- 6 篇 生物工程
408 篇 理学
- 327 篇 物理学
- 58 篇 数学
- 19 篇 统计学（可授理学、...
- 18 篇 系统科学
- 11 篇 化学
- 11 篇 海洋科学
- 11 篇 生物学
- 6 篇 地球物理学
115 篇 医学
- 113 篇 临床医学
19 篇 管理学
- 10 篇 图书情报与档案管...
- 9 篇 管理科学与工程(可...
7 篇 军事学
4 篇 法学
3 篇 经济学
3 篇 文学
1 篇 教育学

主题

99 篇 signal processin...
74 篇 sensors
72 篇 target detection
67 篇 target tracking
62 篇 radar
60 篇 detection and tr...
55 篇 signal to noise ...
45 篇 object detection
44 篇 filtering (signa...
41 篇 signal processin...
40 篇 data association
36 篇 data fusion
33 篇 error analysis
31 篇 electronic filte...
30 篇 signal detection
30 篇 feature extracti...
30 篇 radar signal pro...
28 篇 data processing
26 篇 clutter
25 篇 data modeling

机构

19 篇 univ connecticut...
10 篇 cyberrnd inc cul...
7 篇 univ calif san d...
6 篇 numerica corp lo...
6 篇 univ connecticut...
5 篇 key laboratory o...
5 篇 numerica corp lo...
4 篇 qinetiq ltd malv...
4 篇 nanjing research...
4 篇 univ connecticut...
4 篇 raytheon co walt...
4 篇 national key lab...
4 篇 national laborat...
3 篇 beijing key labo...
3 篇 royal institute ...
3 篇 mcmaster univ de...
3 篇 numerica corp ft...
3 篇 sri int menlo pk...
3 篇 radar research l...
3 篇 mcmaster univ ec...

作者

19 篇 kirubarajan t
18 篇 bar-shalom y
17 篇 kirubarajan t.
17 篇 bar-shalom yaako...
14 篇 willett peter
12 篇 blair wd
10 篇 drummond oliver ...
9 篇 tharmarasa r.
8 篇 sinha a
7 篇 drummond oe
7 篇 willett p
6 篇 huang jim
6 篇 daum fred
5 篇 maskell s
5 篇 romeo kevin
5 篇 barshalom y
5 篇 danford scott
5 篇 xing mengdao
4 篇 pattipati kr
4 篇 paffenroth randy

语言

850 篇 英文
10 篇 其他
3 篇 中文
2 篇 土耳其文

检索条件"任意字段=Conference on Signal and Data Processing of Small Targets 2000"

共 865 条记录，以下是401-410 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：

Nonparametric complex background prediction algorithm using FCM clustering for dim point infrared targets detection

Nonparametric complex background prediction algorithm using ...

引用

4th International conference on Communications, Circuits and Systems (ICCCAS 2006)

作者： Wu, Honggang Li, Xiaofeng Chen, Yuebin Li, Zaiming Univ Elect Sci & Technol China Sch Commun & Informat Engn Chengdu 610054 Peoples R China

ISBN: (纸本)0780395840

A nonparametric background prediction algorithm using fuzzy c-means (FCM) clustering is proposed to enhance the detection of dim small infrared targets. in image data. The target of interest is assumed to have a very small spatial spread, and is obscured by heavy background clutter. The input image data is firstly segmented using FCM clustering, and then the nonparametric regressive method is applied to predict background in each cluster respectively. Subsequently the background is subtracted from the input data, leaving components of the target signal in the residual noise. Experiment results show better detecting performance for the output data by the algorithm of this paper than by other traditional methods.

关键词： Image analysis

来源：评论

学校读者我要写书评

暂无评论

Exploiting target amplitude information to improve multi-target tracking - art. no. 623618

Exploiting target amplitude information to improve multi-tar...

引用

18th conference on signal and data processing of small targets

作者： Ehrman, Lisa M. Blair, W. Dale Georgia Inst Technol Georgia Tech Res Inst Sensors & Electromagnet Applicat Lab Atlanta GA 30332 USA

ISBN: (纸本)0819462926

Closely-spaced (but resolved) targets pose a challenge for measurement-to-track data association algorithms. Since the Mahalanobis distances between measurements collected on closely-spaced targets and tracks are similar, several elements of the corresponding kinematic measurement-to-track cost matrix are also similar. Lacking any other information on which to base assignments, it is not surprising that data association algorithms make mistakes. One ad hoc approach for mitigating this problem is to multiply the kinematic measurement-to-track likelihoods by amplitude likelihoods. However, this can actually be detrimental to the measurement-to-track association process. With that in mind, this paper pursues a rigorous treatment of the hypothesis probabilities for kinematic measurements and features. Three simple scenarios are used to demonstrate the impact of basing data association decisions on these hypothesis probabilities for Rayleigh, fixed-amplitude, and Rician targets. The first scenario assumes that the tracker carries two tracks but only one measurement is collected. This provides insight into more complex scenarios in which there are fewer measurements than tracks. The second scenario includes two measurements and one track. This extends naturally to the case with more measurements than tracks. Two measurements and two tracks are present in the third scenario, which provides insight into the performance of this method when the number of measurements equals the number of tracks. In all cases, basing data association decisions on the hypothesis probabilities leads to good results.

关键词： signal to noise ratio Kinematics Mahalanobis distance Distance measurement Detection and tracking algorithms Radar Target detection Time metrology Antennas Bessel functions

来源：评论

学校读者我要写书评

暂无评论

Comparison of two MDA algorithms for a problem in missile defense

Comparison of two MDA algorithms for a problem in missile de...

引用

18th conference on signal and data processing of small targets

作者： Areta, J. Bar-Shalom, Y. Levedahl, M. Univ Connecticut Storrs CT USA

ISBN: (纸本)0819462926

In this paper we compare the performance of two Multidimensional Assignment Algorithms (MDA), the Lagrangean Relaxation based S-D algorithm and the Sequential m-best 2-D algorithm, applied to a realistic problem in missile defense surveillance. The benchmark problem consists of a set of sources that provide "event" (track) estimates of multiple launches, via a number of communication networks to a Fusion Center (FC) which has to perform data association prior to fusion. The network model used "loses" the information tag that distinguishes reports from the same source transmitted through different networks, i.e., the track identity (ID) assigned by the source is not passed on. Only a track ID assigned by the network, and the source ID accompany the track. Thus detection and elimination of track duplications at the FC is needed. The proposed hierarchical approach to the problem requires the solution of several MDA problems before calculating the fused estimate, so accuracy of the solution of each is crucial. Examples with several launches, sources and networks are presented to compare the performance of the two assignment algorithms.

关键词： multidimensional assignment data association benchmark

来源：评论

学校读者我要写书评

暂无评论

Nonlinear estimation techniques for impact point prediction of ballistic targets - art. no. 62360C

Nonlinear estimation techniques for impact point prediction ...

引用

18th conference on signal and data processing of small targets

作者： Hardiman, David F. Kerce, J. Clayton Brown, George C. USA Redstone Arsenal AL 35898 USA

ISBN: (纸本)0819462926

This paper considers three nonlinear estimation algorithms for impact point prediction (IPP) of ballistic targets. The paper assumes measurements are available from a 3D surveillance radar or phased array radar over some portion of the ballistic trajectory. The ballistic target (BT) is tracked using an extended Kalman filter (EKF), an unscented Kalman filter (UKF), and a particle filter (PF). With the track estimate as an initial condition, the equations of motion for the BT are integrated to obtain a prediction of the impact point. This paper compares the performance of the EKF, UKF, and a particular choice of PF for impact point prediction. The traditional Extended Kalman Filter equations are based on a first-order Taylor, series approximation of the nonlinear transformations (expanded about the latest state estimate). Both the Unscented Kalman Filter and the Particle Filter allow nonlinear systems to be modeled without prior linearizion. The primary focus of the analysis presented in this paper is comparing the performance and accuracy of the Extended Kalman Filter (EKF), the Unscented Kalman Filter (UKF), and the chosen Particle Filter implementation for impact point prediction. The three filtering techniques are compared to the theoretical Cramer-Rao lower bounds (CRLB) of estimation error.

关键词： estimation non-linear dynamic system Cramer-Rao lower bound (CRLB) Kalman filter

来源：评论

学校读者我要写书评

暂无评论

Track management in a multisensor MHT for targets with aspect-dependent SNR - art. no. 623613

Track management in a multisensor MHT for targets with aspec...

引用

18th conference on signal and data processing of small targets

作者： Blanding, Wayne R. Willett, Peter K. Bar-Shalom, Yaakov Coraluppi, Stefano Univ Connecticut Dept ECE Storrs CT 06269 USA

ISBN: (纸本)0819462926

In many active sonar tracking applications, targets frequently undergo fading detection performance in which the target's detection probability can shift suddenly from a high to a low value. This characteristic is a function of the undersea environment. Using a multistatic active sonar problem, we examine the performance of track management (initiation and termination) routines where the target detection probability is based on an underlying Hidden Markov Model (HMM) with high and low detection states. Using a likelihood ratio test, we develop the optimum track initiation performance as measured by a System Operating Characteristic, similar to a Receiver Operating Characteristic, which plots the probability of initiating a true track versus the probability of initiating a false track. We show that near-optimal performance can be attained using track initiation logic that differentiates the measurements as to receiver source in an "M detections of N scans from C sensors" type of rule. Performance can further be improved by using a composite track initiation test that combines two or three such rules in a logical OR operation. We next show that the use of a Shiryaev-Roberts test for track termination yields the quickest detection of false tracks for a given duration of true target tracks when compared to a Page test and rule-based tests of the form "M or fewer detections from K scans".

关键词： target tracking multistatic sonar track initiation

来源：评论

学校读者我要写书评

暂无评论

PetaOp/second FPGA signal processing for SETI and radio astronomy

PetaOp/second FPGA signal processing for SETI and radio astr...

引用

40th Asilomar conference on signals, Systems, and Computers, ACSSC '06

作者： Parsons, Aaron Backer, Donald Chang, Chen Chapman, Daniel Chen, Henry Crescini, Patrick De Jesus, Christina Dick, Chris Droz, Pierre MacMahon, David Meder, Kirsten Mock, Jeff Nagpal, Vinayak Nikolic, Borivoje Parsa, Arash Richards, Brian Siemion, Andrew Wawrzynek, John Werthimer, Dan Wright, Melvyn University of California Berkeley Berkeley CA 94720 United States Xilinx Corporation

ISBN: (纸本)1424407850

Our group, the Center for Astronomy signal processing and Electronics Research (CASPER), seeks to speed the development of radio astronomy signal processing instrumentation by designing and demonstrating a scalable, upgradeable, FPGA-based computing platform and software design methodology that targets a range of real-time radio telescope signal processing applications. This project relies on a small number of modular, connectible hardware components and open-source signal processing libraries which can be reused and scaled as hardware capabilities expand. We have demonstrated the use of 10 Gb Ethernet packetization and switches to manage high-bandwidth inter-board communication. Using these tools, we have built spectrometers, correlators, beamformers, VLBI data recorders, and many other applications. Future directions for the development include a fully packetized scalable correlator, additional library and toolflow development, and a next generation of modular FPGA-based hardware.

关键词： Radio astronomy

来源：评论

学校读者我要写书评

暂无评论

Neural network for polarimetric radar target classification

Neural network for polarimetric radar target classification

引用

14th European signal processing conference, EUSIPCO 2006

作者： Soleti, R. Cantini, L. Berizzi, F. Capria, A. Calugi, D. Dept. of Information Engineering University of Pisa Via Caruso 16 56122 Pisa Italy Italy

In this paper, the Artificial Neural Network (ANN) paradigm is applied to radar target classification. Radar returns are simulated via an e.m code and time-domain polarimetric target features are extracted by means of Prony's algorithm. Two different type of feedforward neural network has been adopted in order to classify the target echo, namely the Multi Layer Perceptron (MLP) and the Self Organizing Maps (SOM). The above-mentioned network have been tested on two type of simulated targets: a small tonnage ship with a low level of detail and medium tonnage ship with higher details. Each network has been trained on a wide range of signal-to-noise ratio, and with different data records number in order to assess the training invariant properties of each network. Finally, in the validation phase a fixed number of records has been considered to evaluate networks performances, which are given in terms of classification error.

关键词： signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Study on theory of multi-target tracking and data association algorithms in phased array radar

Study on theory of multi-target tracking and data associatio...

引用

6th International conference on ITS Telecommunications Proceedings

作者： Wang, Lan-yun Zhao, Yong-jun Wang, Wei-xiang Inst Informat Sci & Technol Zhengzhou 1001 Mail Box835 Zhengzhou 450002 Henan Peoples R China

ISBN: (纸本)0780395867

This paper firstly introduced the theory of target tracking and studied the process of data association for multi-target tracking of multifunctional phased array radar. Then, a new approach is proposed to deal with the uncertainty of measurement origin and the disadvantage of probabilistic data association filter(PDAF)and joint probabilistic data association filter(JPDAF), and the method directly gets posterior probability by less computational load The modified method mainly analyzed the influence of common measurements in different gates, and neither like that probabilistic data association(PDA) is to use all of the validated measurement with different weights, nor like that the JPDA algorithm is used to track multiple targets by evaluating the measurement-to-track association probabilities and combining them to find the state estimation, Monte-Carlo simulation results show that the algorithm has a small computation and a better real-time tracking performance, so it is applicable to the data processing of phased array radar.

关键词： Target tracking

来源：评论

学校读者我要写书评

暂无评论

Effects of Multiple targets on the Mean Level STAP Detector

Effects of Multiple Targets on the Mean Level STAP Detector

引用

2006 CIE International conference on Radar

作者： Tri-Tan Van Cao Defence Science & Technology Organisation (DSTO) PO Box 1500 EdinburghSA 5111Australia

Robustness of the constant false alarm rate (CFAR) mean level adaptive detector for a phased array radar equipped with a space-time adaptive processing (STAP) algorithm is analysed when the secondary data is contaminated by multiple interfering targets at different ***-form analysis is first given based on the assumption of Gaussian interference and Swerling I target *** deleterious effect on target detection is then experimentally examined using the multi channel airborne radar measurements (MCARM) *** is found that both the probability of detection and the false alarm rate decrease in accordance with the sum of the signal power of the interfering *** addition,the false alarm rate is very sensitive to the presence of interfering targets,in the sense that a small sum (below the noise floor) of their signal power can lower the false alarm rate.

关键词： constant false alarm rate (CFAR),phased array radar,space-time adaptive processing (STAP),Gaussian interference,Swerling I targets.

来源：评论

学校读者我要写书评

暂无评论

New Adaptive Background Suppression Algorithm via One Step M-filter

New Adaptive Background Suppression Algorithm via One Step M...

引用

International conference on signal processing Proceedings (ICSP)

作者： Moufa Hu Yan Shen Zengping Chen National Key Laboratory of Automatic Target Recognition (ATR) National University of Defense Technology Changsha China College of Electronic Science and Engineering National University of Defense Technology Changsha China

Background suppression is a key technique to small and dim targets automatic detection and tracking. And adaptive background estimation is an efficient way to realize this technique. In this paper, the one step M-filter (OSMF) adaptive background suppression algorithm is presented. In the algorithm, targets and observing noises are considered as mixed noise interference of the image background and then the true image background is estimated adaptively via M-estimation. Firstly, initial value for background clutters is estimated applying the order statistics filter. Then the final estimation of background clutters is given using the OSMF. Finally, background suppression is done by removing background clutters from original images. The proposed method is applied to simulations and real visible image data to demonstrate the robustness and effectiveness of the OSMF

关键词： Clutter Background noise Working environment noise Gaussian noise signal to noise ratio Wiener filter Target tracking Interference Aerospace control Charge coupled devices

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87页 << < 37 38 39 40 41 42 43 44 45 46 > >>

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：