检索结果-内蒙古大学图书馆

16th Conference on signal and data processing of small targets

作者： Tharmarasa, R Kirubarajan, T Hernandez, ML McMaster Univ ECE Dept ETF Lab Hamilton ON L8S 4K1 Canada

ISBN: (纸本)081945351X

In this paper we consider the general problem of managing an array of sensors in order to track multiple targets in the presence of measurement origin uncertainty. There are two complicating factors: the first is that because of physical limitations (e.g., communication bandwidth) only a small number of sensors can be utilized at any one time. The second complication is that the associations of measurements to targets/clutter are unknown. It is this second factor that extends our previous work [14]. Hence sensors must be utilized in an efficient manner to alleviate association ambiguities and allow accurate target state estimation. Our sensor management technique is then based on controlling the Posterior Cramer-Rao Lower Bound (PCRLB), which provides a measure of the optimal achievable accuracy of target state estimation. Only recently have expressions for multitarget PCRLBs been determined [7], and the necessary simulation techniques are computationally expensive. However, in this paper we propose some approximations that reduce the computational load and we present two sensor selection strategies for closely spaced (but, resolved) targets. Simulation results show the ability of the PCRLB based sensor management technique to allow efficient utilization of the sensor resources, allowing accurate target state estimation.

关键词： sensor management multisensor-multitarget tracking Posterior Cramer-Rao Lower Bound non-linear filtering data association

来源：评论

学校读者我要写书评

暂无评论

Complexity reduction in the parametric estimation of superimposed signal replicas

引用

signal processing 2004年第12期84卷 2325-2343页

作者： Selva, J DLR Inst Commun & Navigat D-82230 Wessling Germany

The estimation of the delays and angles of arrival of several superimposed signal replicas requires a high computational burden, which is reduced in practice by employing sub-optimal estimators or by exploiting a specific structure of the problem. In this paper, we propose to reduce the computational burden by looking beforehand for a data representation of small size, which is obtained from an a priori distribution of the parameters. This distribution, being different to the distribution of the parameters in the estimation problem itself, summarises the information about their range of variation. The data reduction can be regarded as the result of applying a Karhunen-Loeve expansion. Focusing on the delay parameterisation, we show how this data reduction can be performed efficiently. We present the adaptation of the TLS-ESPRIT algorithm for delay estimation, and of the deterministic Maximum Likelihood estimator to this data reduction. In order to calculate the latter estimator, we discuss the application of Newton-type methods. (C) 2004 Elsevier B.V. All rights reserved.

关键词： delay estimation Karhunen-Loeve expansion array signal processing beamspace processing

来源：评论

学校读者我要写书评

暂无评论

Target detection by distributed sensors: distributed sensor concept-DISCO for small target detection

Target detection by distributed sensors: distributed sensor ...

引用

20th Conference on signal and data processing of small targets

作者： Rafailov, Michael K. QinetiQ NA Reston VA 20191 USA

ISBN: (纸本)9780819471604

Distributed Sensor Concept - DISCO was proposed [I] for multiplication of individual sensor capabilities through non-coherent cooperative target engagement. The signal processing technique for DISCO is Recursive Adaptive Frame Integration of Limited data - RAFIL technique [2] that was initially proposed as a way to improve the SNR [3], reduce data rate [4] and mitigate FPA noise for IR sensors [5]. In DISCO, the RAFIL technique is used in a segmented way, when constituencies of the technique are spatially and temporally separated between individual sensors. Each sensor provides to and receives data from other sensors in the network. In this paper efficiency of DISCO is discussed for acquisition, accurate handover and track correlation of small targets.

关键词： multiple sensor system distributed sensors distributed apertures accurate target detection frame integration data rate recursive processing double threshold

来源：评论

学校读者我要写书评

暂无评论

SUPER NONCOHERENT INTEGRATION - ANALYSIS OF PERFORMANCE

SUPER NONCOHERENT INTEGRATION - ANALYSIS OF PERFORMANCE

引用

Conference on signal and data processing of small targets 1994

作者： DAUM, F RAYTHEON CO WAYLANDMA 01778

ISBN: (纸本)0819415391

This paper analyzes a new method to detect targets. The new method, called `super noncoherent integration' (SNCI), can improve overall detection performance by typically 5 dB to 10 dB relative to conventional noncoherent integration. A simple back-of-the-envelope formula is derived which quantifies the performance improvement of SNCI. Conventional noncoherent integration (CNCI) uses only amplitude measurements to distinguish targets from noise or clutter. In contrast, SNCI uses amplitude data in addition to: monopulse data, quadrature monopulse data, range and Doppler data over a sequence of N transmitted radar waveforms.

关键词： signal to noise ratio Doppler effect Radar Target detection Sensors Filtering (signal processing) Detection and tracking algorithms Error analysis Infrared sensors signal detection

来源：评论

学校读者我要写书评

暂无评论

Time reversal optical tomography: locating targets in a highly scattering turbid medium

引用

OPTICS EXPRESS 2011年第22期19卷 21956-21976页

作者： Wu, Binlin Cai, W. Alrubaiee, M. Xu, M. Gayen, S. K. CUNY City Coll Dept Phys New York NY 10031 USA CUNY Grad Ctr Dept Phys New York NY 10016 USA Fairfield Univ Dept Phys Fairfield CT 06824 USA

A time reversal optical tomography (TROT) method for near-infrared (NIR) diffuse optical imaging of targets embedded in a highly scattering turbid medium is presented. TROT combines the basic symmetry of time reversal invariance and subspace-based signal processing for retrieval of target location. The efficacy of TROT is tested using simulated data and data obtained from NIR imaging experiments on absorptive and scattering targets embedded in Intralipid-20% suspension in water, as turbid medium. The results demonstrate the potential of TROT for detecting and locating small targets in a turbid medium, such as, breast tumors in early stages of growth. (C) 2011 Optical Society of America

关键词： Diffuse optical imaging Diffuse optical tomography Magnetic resonance imaging Optical computed tomography Optical imaging signal processing

来源：评论

学校读者我要写书评

暂无评论

2D OMP algorithm for space-time parameters estimation of moving targets

引用

ELECTRONICS LETTERS 2015年第22期51卷 1809-1810页

作者： Feng, Weike Zhang, YongShun Guo, YiDuo He, XingYu Air Force Engn Univ Air & Missile Def Coll Early Warning & Guidance Dept Xian 710051 Shaanxi Peoples R China

By exploiting the sparsity and data structure of the received signals of airborne radar, the two-dimensional (2D) signal sparse representation (SR) model that is suitable for moving targets parameters estimation after clutter suppression is built. A novel 2D orthogonal matching pursuit (OMP) algorithm is also proposed to solve the 2D SR problem directly. The spatial parameters and temporal parameters of targets are first estimated separately based on two subdictionaries, i.e. space dictionary and time dictionary. The joint space-time parameter of each target is then obtained based on a very small space-time dictionary. The numerical results indicate that the proposed algorithm can achieve closely approximate parameters estimation performance with significant computational saving compared with the one-dimension (1D) method using traditional 1D OMP algorithm.

关键词： 2D OMP algorithm radar signal processing spatial parameter estimation Interpolation and function approximation (numerical analysis) two-dimensional signal SR model signal representation temporal parameter estimation orthogonal matching pursuit algorithm space-time dictionary airborne radar received signal sparsity moving target space-time parameter estimation 2D orthogonal matching pursuit algorithm time dictionary time-frequency analysis airborne radar airborne radar received signal data structure multidimensional signal processing 2D signal sparse representation model iterative methods Radar theory computational saving signal processing and detection parameter estimation space dictionary compressed sensing

来源：评论

学校读者我要写书评

暂无评论

QUICKTRACK

QUICKTRACK

引用

5TH CONF ON signal AND data processing OF small targets

作者： JANSSENS, TJ California Lutheran Univ. (United States)

ISBN: (纸本)0819411906

QUICKTRACK is a new track initiation algorithm for optical sensors tracking ballistic targets. It is designed to compute new tracks at the earliest moment mathematically possible to any desired accuracy up to the limiting accuracy of the data themselves. Initial testing now underway shows very promising results. Whether computational requirements in realistic cases will be lower or higher than with conventional methods is yet to be determined. QUICKTRACK can initiate confirmed 3 dimensional (3D) tracks of targets viewed by 1, 2, 3, or 4 sensors although it offers no special advantages for those targets viewed by only 1 target. In a particular case discussed where conventional track initiation needed 200 seconds of data, QUICKTRACK initiated track after only 60 seconds of data.

关键词： Sensors 3D acquisition Detection and tracking algorithms Target detection Filtering (signal processing) Modeling signal processing Missiles Optical tracking Optical sensors

来源：评论

学校读者我要写书评

暂无评论

Unified sensor management in unknown, dynamic clutter

Unified sensor management in unknown, dynamic clutter

引用

Conference on signal and data processing of small targets 2010

作者： Mahler, Ronald El-Fallah, Adel Lockheed Martin MS2 (United States) Scientific Systems Co. Inc. (United States)

ISBN: (纸本)9780819481627

In recent years the first author has developed a unified, computationally tractable approach to multisensor-multitarget sensor management. This approach consists of closed-loop recursion of a PHD or CPHD filter with maximization of a "natural" sensor management objective function called PENT (posterior expected number of targets). In this paper we extend this approach so that it can be used in unknown, dynamic clutter backgrounds.

关键词： Sensors Target detection Process modeling Space sensors Current controlled current source data processing Electronic filtering Probability theory signal detection signal processing

来源：评论

学校读者我要写书评

暂无评论

Tracking Multiple targets Using a Particle Filter Representation of the Joint Multitarget Probability Density

Tracking Multiple Targets Using a Particle Filter Representa...

引用

signal and data processing of small targets 2003

作者： Kreucher, Chris Kastella, Keith Hero III, Alfred O. Veridian's Ann Arbor Res./Dvmt. Ctr. Ann Arbor MI United States University of Michigan Department of Electrical Engineering Ann Arbor MI United States

This paper addresses the problem of tracking multiple moving targets by estimating their joint multitarget probability density (JMPD). The JMPD technique is a Bayesian method for tracking multiple targets that allows nonlinear, non-Gaussian target motions and measurement to state coupling. JMPD simultaneously estimates both the target states and the number of targets. In this paper, we give a new grid-free implementation of JMPD based on particle filtering techniques and explore several particle proposal strategies, resampling techniques, and particle diversification methods. We report the effect of these techniques on tracker performance in terms of tracks lost, mean squared error, and computational burden.

关键词： signal processing

来源：评论

学校读者我要写书评

暂无评论

REAL-TIME MULTIRESOLUTIONAL TARGET TRACKING

REAL-TIME MULTIRESOLUTIONAL TARGET TRACKING

引用

5TH CONF ON signal AND data processing OF small targets

作者： HONG, L WERTHMANN, JR BIERMAN, GS WOOD, RA Wright State Univ. (United States) Air Force Wright Lab. (United States)

A real-time multiresolutional approach for target tracking is developed in this paper. The wavelet transform is utilized to provide the multiresolutional measurements and bridge information at different resolutional l... 详细信息

ISBN: (纸本)0819411906

关键词： Wavelet transforms Algorithm development Detection and tracking algorithms Filtering (signal processing) Matrices Electronic filtering Wavelets data acquisition signal processing Switching

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：