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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets 1999"

共 764 条记录，以下是171-180 订阅

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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

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Comparison of data Reduction Techniques Based on SVM Classifier and SVR Performance

Comparison of Data Reduction Techniques Based on SVM Classif...

引用

conference on signal and data processing of small targets

作者： Zhao, Dave Georgescu, Ramona Willett, Peter Univ Connecticut ECE Dept Storrs CT 06269 USA

ISBN: (纸本)9780819487476

In this work, we applied several data compression techniques to simulated data and the Turbofan engine degradation simulation data set from NASA, with the goal of comparing their performance when coupled with the Support Vector Machine (SVM) classifier and the SVM regression (SVR) predictor. We consistently attained correct rates in the neighborhood of 90% for simulated data set, with the Principal Component Analysis (PCA), Sparse Reconstruction by Separable Approximation (SpaRSA) and Partial Least Squares (PLS) having a slight edge over the other data reduction methods for data classification. We achieved 22% error rate with SRM for the Turbofan data set 1 and 40% error rate with PCA for Turbofan data set 2. Throughout the tests we have performed, PCA proved to be the best data reduction method.

关键词： data reduction PCA PLS SRM OMP SpaRSA Classification Regression SVM SVR

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A complex-domain adaptive order statistic filter and its application to signal detection in non-Gaussian noise and clutter

A complex-domain adaptive order statistic filter and its app...

引用

conference on signal and data processing of small targets 2010

作者： Fernandez, Manuel Aridgides, Tom Lockheed Martin MS2 Syracuse NY 13221 USA

ISBN: (纸本)9780819481627

This paper presents an adaptive Order-Statistic Filter (OSF) that can operate in the real and the complex data domains to maximize the gain in signal to noise and/or clutter ratio. This distribution-independent non-linear filter approximates the optimal filter when the background is not Gaussian (e.g., speckle-type clutter, Gamma noise, etc.), producing a "Gaussianized" residual that ensures the near-optimality of subsequent processing stages that assume Gaussian statistics (e.g., background-normalization/CFAR, signal classification, etc.). Furthermore, the residual resulting from an adaptive OSF stage can implicitly be re-filtered, driving the ensuing residuals ever closer to being Gaussian-distributed. The output of such recursive version of our adaptive OSF can thus approximate optimality in the maximum likelihood sense (e.g., in the case of signal detection, by maximizing the probability of detection while minimizing the probability of false alarm).

关键词： Order statistic adaptive complex non-linear non-Gaussian recursive filter beamforming

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Application of Rich Feature Descriptors to small Target Detection in Wide-Area Persistent ISR Systems

Application of Rich Feature Descriptors to Small Target Dete...

引用

conference on signal and data processing of small targets

作者： Miller, Christopher W. Edelberg, Jason. A. Wilson, Michael. L. Novak, Kyle. M. US Naval Res Lab Code 56644555 Overlook Ave SW Washington DC 20375 USA Tekla Res Dumfires VA USA

ISBN: (纸本)9781628410297

One of the desired capabilities for wide-area persistent ISR systems is to reliably locate and subsequently track the movement of targets within the field of view. Current wide-area persistent ISR systems are characterized by large pixel overall counts and very large fields of view. This leads to a large ground sample distance with few pixels-on-target. Locating targets under these constraints is extremely difficult due to the fact that the targets present very little detailed structure. In this paper we will present the application of rich image feature descriptors combined with advanced statistical target detection methodologies to the airborne ISR problem. We will demonstrate that these algorithms can reliably locate targets in the scene without relying on the target's motion to form a detection. This is useful in ISR application where it is desirable to be able to continuously track a target through stops and maneuvers.

关键词： Wide area surveillance automated target recognition support vector machines

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Hybrid tracking algorithm using MHT and PMHT

Hybrid tracking algorithm using MHT and PMHT

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14th conference on signal and data processing of small targets

作者： Dunham, DT Hutchins, RG Independent Contractor (United States) Naval Postgraduate School (United States)

ISBN: (纸本)0819444782

Since the early 1990s, significant research has been done on a relatively new algorithm called the Probabilistic MultiHypothesis Tracker (PMHT). The majority of this research has concluded that there are a few weaknesses with this approach to tracking targets in the presence of clutter. First, the number of targets that are being tracked needs to be known a priori. Second, in order for the algorithm to operate properly, a very good initiation must be performed. Without a very close initiation, the PMHT usually fails to "lock on" to the target correctly. To address both of these issues, a hybrid approach is proposed. This hybrid approach will use a Multi-Hypothesis Tracking (MHT) algorithm to initiate new tracks and to continue tracking them until a track is stable. Then it will hand these tracks off to the PMHT to maintain. The MHT is very good at initiating new tracks, and the PMHT is best at maintaining multiple tracks because the algorithm's complexity with tracking additional targets grows linearly as opposed to exponentially'.

关键词： multiple targets hybrid PMHT MHT initialization

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Optimal point target detection using adaptive auto regressive background prediction

Optimal point target detection using adaptive auto regressiv...

引用

conference on signal and data processing of small targets 2000

作者： Denney, BS de Figueiredo, RJP Neural Comp Syst Irvine CA USA

ISBN: (纸本)0819436747

In this paper, we use an adaptive AR (Auto regressive) model to optimally filter background texture from images. The filter maps background texture into minimum variance locally white noise. An additive point target signal, however, is unaffected by the filter thereby effectively maximizing the signal to noise/clutter ratio. Thus, filter output thresholding can detect anomalous pixels in the images. Additionally the paper introduces a false alarm rejection scheme based on the intersection of a Four Quadrant AR (Quad-AR) filter. The paper addresses the implicit background assumptions in this approach and the median filter approach to small target detection. An example application of the filter to infrared images of missiles immersed in intense sea glint is presented. The AR filter performance is compared to a median filter performance. It is shown that for the infrared sub-pixel missile over sea problem, the Quad-AR approach is substantially better than previous approaches.

关键词： small target detection point target detection missile detection anomaly detection auto regressive filter

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PERFORMANCE EVALUATION OF MULTIPLE HYPOTHESIS FILTER FOR TRACK INITIATION

PERFORMANCE EVALUATION OF MULTIPLE HYPOTHESIS FILTER FOR TRA...

引用

conference on signal and data processing of small targets 1994

作者： CASSASSOLLES, E TOMASINI, B SYSTELIA TECHNOL F-83320 CARQUEIRANNEFRANCE

ISBN: (纸本)0819415391

This paper deals with global track initiation problem and our purpose is to apply a quite efficient method called the Multiple Hypothesis Filter to solve it for Radar applications. This original measurement-oriented approach has been implemented in an object-oriented way and applied to simulated and realdata. This paper presents some results of MHF perfonnance evaluation which are based on determination of VfIOUS track initiation criteria (initiation time, initiation lapse. false track rate, ...)

关键词： Target detection data processing Monte Carlo methods Detection and tracking algorithms Computer simulations data modeling Radar Time metrology Environmental sensing Palladium

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Tracking maneuvering and bending extended target in cluttered environment

Tracking maneuvering and bending extended target in cluttere...

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conference on signal and data processing of small targets

作者： Dezert, J Off Natl Etud & Rech Aerosp DTIM MCT F-92320 Chatillon France

ISBN: (纸本)0819428221

There has been a growing interest in tracking maneuvering point-targets since the last decade. Up to now however, no algorithm has been proposed for tracking maneuvering and bending extended target in clutter. We develop in this paper a new approach based on Interacting Multiple Model (IMM) combined with a new Fast Point Pattern Matching (FPPM) algorithm to solve this new tracking problem. Simulation results for a bending target having four dynamic models and possibly two point-patterns are given to illustrate the ability of this new approach to track a maneuvering and bending extended target in 2D space.

关键词： target tracking maneuvering target extended target bending target cluttered environment pattern recognition data association interacting multiple model point pattern matching inexact matching affine transformation registration maximum matching pairs support

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Method of correlation function estimation of process at the generalized detector output

Method of correlation function estimation of process at the ...

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conference on signal and data processing of small targets

作者： Tuzlukov, V Natl Acad Sci Inst Engn Cybernet Minsk 220012 BELARUS

ISBN: (纸本)0819428221

The method of estimation of the correlation functions of processes at the outputs of the optimal and generalized detectors is proposed. The time interval [0,T] for the input stochastic process is bounded. Proposed method allows to determine the detection characteristics of the optimal and generalized detectors more carefully. Using the proposed method of the correlation function estimation we can make a prediction about the probability of detection with the great accuracy both for the optimal detector and for the generalised detector taking into consideration the signal base. In line with the proposed method of the estimation of correlation functions the probability distribution density of the background noise at the output of the generalized detector is determined more exactly. There is a correlation between the parameters of the probability distribution density of the background noise at the output of the generalized detector and the signal base. This correlation exerts the essential action on the detection characteristics that is very important in practice.

关键词： correlation function mean variance time interval signal noise probability distribution density

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ELEMENT QUALITY ANALYSIS - ESTIMATING THE ACCURACY OF EPHEMERIS PREDICTION FROM ORBITAL ELEMENTS

ELEMENT QUALITY ANALYSIS - ESTIMATING THE ACCURACY OF EPHEME...

引用

conference on signal and data processing of small targets 1994

作者： SIEGEL, A MITRE CORP COLORADO SPRINGSCO 80906

ISBN: (纸本)0819415391

Element Quality Analysis (EQA) is the evaluation of the accuracy with which an orbital element set describes the orbit of a satellite. This paper proposes practical methods for evaluating element quality and describes the benefits of improved EQA. The paper first discusses the need for and applications of EQA. Past and current operational methods for EQA are then considered. The main portion of the paper describes alternative methods for EQA.

关键词： Satellites Chemical elements Error analysis Sensors Statistical analysis Differential equations Surface plasmons Filtering (signal processing) Motion models Stochastic processes

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