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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91-100 订阅

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Tracking airborne targets occasionally hidden in the blind Doppler

Tracking airborne targets occasionally hidden in the blind D...

引用

13th conference on signal and data processing of small targets

作者： Gordon, NJ Ristic, BO QinetiQ Ltd Malvern WR14 3PS Worcs England

ISBN: (纸本)0819441872

This paper describes an application of sequential Monte Carlo estimation (particle filtering) to the problem of tracking targets occasionally hidden in the blind Doppler zones of a radar. A particle filter which incorporates the prior knowledge of the blind Doppler zone limits has been designed. The simulation results suggest significant improvement in track continuity over the standard Extended Kalman filter. As an operationally viable solution a hybrid tracker is envisaged which can switch between the EKF (with possibly built-in data association logic) and the particle filter, depending on the tracking conditions.

关键词： target tracking blind Doppler Bayesian methods bootstrap filter particle filter

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small object detection via fast discrete Curvelet transform

Small object detection via fast discrete Curvelet transform

引用

25th SPIE conference on signal and data processing of small targets

作者： Valdez, Hector A. Lu, Thomas T. Chao, Tien-Hsin Calif State Univ Long Beach Long Beach CA 90840 USA CALTECH Jet Prop Lab 4800 Oak Grove Dr Pasadena CA 91125 USA

ISBN: (纸本)9780819497079

This paper describes the Fast Discrete Curvelet Transform (FDCT) which is integrated into an automated object detection framework capable of fast image processing for the purpose of tracking multiple objects of interest. The distinguishing difference between FDCT and other transforms is that the Curvelet coefficients have three beneficial parameters, which define scale, orientation, and spatial locations. We utilize these parameters to efficiently detect relatively small objects in a variety of image and video data sets. We have implemented the FDCT in a multi-stage automatic target recognition (ATR) architecture. The results of the current algorithm yield a highly sensitive detection of small targets in noisy backgrounds.

关键词： ATR Curvelet object detection ROI sparse representation targeting

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Using tots for more accurate and responsive multi-sensor, end-to-end ballistic missile tracking

Using tots for more accurate and responsive multi-sensor, en...

引用

conference on signal and data processing of small targets 2000

作者： Easthope, PF Adv Syst Architectures Ltd Alton GU34 4PU Hants England

ISBN: (纸本)0819436747

Accurate tracking of a ballistic missile from launch to impact requires the use of multiple models to fully exploit the characteristic dynamic differences between the various flight phases. This paper shows that the loosely-coupled, autonomous multiple model strategy used by ASA's TOTS (Target Oriented Tracking System) is very successful in this context, giving accurate tracking and responsiveness to changes in dynamics. For illustration, examples of red ballistic missiles are used, with data provided by several distributed ground-based radars, covering the entire flight trajectory.

关键词： Missiles Radar data modeling Atmospheric modeling Sensors Motion models data processing signal processing Transponders Aerodynamics

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An Examination of the Application of Space Time Adaptive processing for the Detection of Maritime Surface targets from High Altitude Airborne Platforms

An Examination of the Application of Space Time Adaptive Pro...

引用

25th SPIE conference on signal and data processing of small targets

作者： McDonald, Michael Cerutti-Maori, Delphine Def R&D Canada 3701 Carling Ave Ottawa ON Canada Fraunhofer FHR D-53343 Wachtberg Germany

ISBN: (纸本)9780819497079

An examination of the application of Space Time Adaptive processing (STAP) techniques to real, multi-channel, medium grazing angle, radar sea clutter data is undertaken and the detection performance is quantified against simulated moving maritime surface targets. The application of sub-optimal STAP approaches to the maritime radar detection problem is shown to be complicated by non-stationarity of sea clutter and rapid variations of the sea clutter spectrum due to transient wave activity. Observed performance gains from maritime STAP are much more limited than those observed for Ground Moving Target Indication (GMTI) due to the inherent spectral width of sea clutter and the slow Doppler velocities of maritime targets. Three sub-optimal STAP processing architectures are examined and PRI-Staggered Post-Doppler is shown to provide consistently superior detection performance for the data set in question.

关键词： Maritime surveillance STAP Radar GMTI

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Monopulse tracking of two unresolved Rayleigh targets

Monopulse tracking of two unresolved Rayleigh targets

引用

conference on signal and data processing of small targets 1997

作者： Blair, WD Watson, GA BrandtPearce, M Naval Surface Warfare Ctr. (United States) Univ. of Virginia (United States)

ISBN: (纸本)0819425850

When two targets are closely-spaced with respect to the resolution of a radar, the measurements of the two targets will be merged when the target echoes are not resolved in angle, range, or radial velocity (i.e., Doppler processing). Monopulse processing is considered for Direction-Of-Arrival (DOA) estimation of two unresolved Rayleigh targets with known relative Radar Cross Section (RCS). The probability distribution of the complex monopulse ratio is developed for two unresolved Rayleigh targets. The Fisher information matrix and Cramer Rao bounds are developed for the DOA estimation of two unresolved Rayleigh targets using a standard monopulse radar. When the two Rayleigh targets are separated by more than one-half of the radar beamwidth, DOA estimation is accomplished for each target by treating the other target as interference. When the two targets are separated by less than one-half of a beamwidth, the antenna boresight is pointed between the two targets, and the mean of the in-phase (i.e.,the real part) monopulse ratio and the variance of the in-phase and quadrature monopulse ratios are utilized to estimate the DOAs of the two targets. Simulation results that illustrate performance of the DOA estimators are given along with a simple tracking example.

关键词： radar signal processing target tracking sensor resolution

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Tracking targets using matched field observations

Tracking targets using matched field observations

引用

conference on signal and data processing of small targets

作者： Willett, PK Bishop, J Giannopoulos, E Univ Connecticut ECE Dept U 1157 Storrs CT 06269 USA

ISBN: (纸本)0819450774

The target tracking literature has traditionally been most interested in the "hit" model for the observations process, and the community has developed many techniques for data association. On the other hand, matched field processing (MFP) research has focused on signal processing with the main emphasis on target detection and localization. Treatments of combined tracking/MFP systems are not common. but most concentrate on signal processing, with the idea that a "track" is really a sequence or track-segment of detections that make sense from dynamics considerations. Thus, here we explore the MFP tracking problem, with the key that we attempt to use traditional target-tracking algorithms. In particular. we use an IMMPDAF-AI (interacting multiple-model probabilistic data association filter with amplitude information). It is shown that the use of such an advanced tracking algorithm - plus a number of MFP-specific refinements - produces tracking performance that is far superior to that obtained for a more traditional tracking (a strongest-neighbor Kalman filter), with the added advantage of a significantly reduced numerical load as measured in terms of the number of MFP replicas to be computed.

关键词： Target tracking matched field processing passive sonar interacting multiple models probabilistic data association filter

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A performance model for unresolved target detection using multispectral infrared data

A performance model for unresolved target detection using mu...

引用

conference on signal and data processing of small targets

作者： Singer, PF Sasaki, DM Raytheon Syst Co EO E1 El Segundo CA 90245 USA

ISBN: (纸本)0819428221

The detection of dim targets in heavy clutter requires large gains in the SCR (signal-to-clutter ratio). Gains of the required magnitude have been obtained with space-temporal processing. However, in many cases these gains are either difficult or expensive to realize. If the range to the clutter is small relative to the clutter velocity, the temporal processing will need to include scene registration and optical flow correction. Scene registration is computationally expensive especially for large search volumes. The correction of optical flow is both expensive and typically less than satisfactory. The spectral dimension provides an alternative to the temporal dimension. Since the data in each of the spectral bands is collected simultaneously or nearly so, the problems of registration and optical flow are eliminated. This paper considers the performance of the multi-spectral infrared bands. Dual band performance results comparing space spectral processing with space temporal will be shown. An analytic model of the probability of false alarm as a function of the number of spectral bands is presented. A comparison of this model to experimental results using multi-spectral IRST data is given.

关键词： dualband multispectral space-spectral detection ROC

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Target selection using neural networks

Target selection using neural networks

引用

14th conference on signal and data processing of small targets

作者： Özener, MS Yardimci, Y Univ Enformat Enstitusu Orta Dogu Tekn TR-06351 Ankara Turkey

ISBN: (纸本)0819444782

Target selection is the task of assigning a value or priority to various targets in a scenario. This priority is usually determined by the threat the target poses on the defender in addition to its vulnerability to possible measures to be taken by the defender. In this study, we describe a target selection technique based on neural networks. The utility or value of each target is assumed to be an unknown function acting on certain features of the target such as size, intensity, speed and direction of movement. Neural networks used in the context of function estimation is a viable candidate for determining this unknown function for generating target priorities. Various. neural network configurations are examined and simulation results are presented.

关键词： Neural networks Target detection Neurons Ranging signal processing Image processing Infrared imaging Infrared radiation Sensors databases

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small curvature particle flow for nonlinear filters

Small curvature particle flow for nonlinear filters

引用

conference on signal and data processing of small targets

作者： Daum, Fred Huang, Jim Raytheon Co Woburn MA USA

ISBN: (纸本)9780819490711

We derive seven new particle flow algorithms for nonlinear filters based on the small curvature condition inspired by fluid dynamics. We find it extremely interesting that this physically motivated condition generalizes two of our previous exact flow algorithms, namely incompressible flow and Gaussian flow. We derive a new algorithm to compute the inverse of the sum of two linear differential operators using a second homotopy, similar to Feynman's perturbation theory for quantum electrodynamics as well as Gromov's h-principle.

关键词： particle filter nonlinear filter particle flow Kalman filter extended Kalman filter

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Multisensor tracking of ballistic targets

Multisensor tracking of ballistic targets

引用

signal and data processing of small targets 1995 conference

作者： FRENKEL, G INST DEF ANAL ALEXANDRIAVA 22311

ISBN: (纸本)0819419206

This paper addresses the multisensor tracking of targets but considers only the special case of targets on a ballistic trajectory. The scenario consists of two radars tracking the same target. One of these radars periodically sends a track to the other radar for fusion with the track generated by the recipient. A track fusion algorithm for tracking ballistic targets is derived. This algorithm is exercised and illustrated by the Sensor Fusion Architecture Model (SFAM) computer program. Since the repeated track fusion of ballistic trajectories results in correlation that must be removed to preserve the optimality in the resultant estimate, an algorithm that requires the preservation of the last update and the error covariance matrix from another Kalman Filter (KF) also is presented. These data then are used to decorrelate the two track inputs originating at the same-source KF.

关键词： BALLISTIC MISSILE KALMAN FILTER (KF) RADAR SENSOR FUSION TRACKING

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