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共 168 条记录，以下是21-30 订阅

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Fast mutual exclusion

Fast mutual exclusion

引用

16th conference on signal and data processing of small targets

作者： Maskell, S Briers, M Wright, R QinetiQ Ltd Malvern Technol Ctr Malvern Worcs England

ISBN: (纸本)081945351X

A method is presented that circumvents the combinatorial explosion often assumed to exist when summing probabilities of joint association events in a multiple target tracking context. the approach involves no approximations in the summation and while the number of joint events grows exponentially with the number of targets, the computational complexity of the approach is substantially less than exponential. Multiple target tracking algorithms that use this summation include mutual exclusion(11,21) in a particle filtering context and the Joint Probabilistic data Association Filter,(7) a Kalman Filter based algorithm. the perceived computational expense associated with this combinatorial explosion has meant that such algorithms have been restricted to applications involving only a handful of targets. the approach presented here makes it possible to use such algorithms with a large number of targets.

关键词： Detection and tracking algorithms Filtering (signal processing) Electronic filtering Particle filters Particles

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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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Cover intervals for a maneuvering target using bearing and weak range measurements

Cover intervals for a maneuvering target using bearing and w...

引用

13th conference on signal and data processing of small targets

作者： Sworder, DD Boyd, JE Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA

ISBN: (纸本)0819441872

Without range measurements, a sensor platform must execute a nontrivial motion if good target location estimates are to be generated with conventional tracking algorithms. this paper shows that even a stationary image-based tracker can provide good location estimates when the target maneuvers. A tight cover region is generated with the proposed algorithm, and is compared with a more general bound.

关键词： nonlinear filters target tracking data fusion

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Target selection using a utility theoretic approach

Target selection using a utility theoretic approach

引用

13th conference on signal and data processing of small targets

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

ISBN: (纸本)0819441872

Modern target tracking systems perform different tasks among which are target detection, selection and tracking. in this study, we describe a target selection technique based on Utility theory. the utility of each target is assumed to be a linear combination of some basis functions that act on certain features of the target such as size, intensity, speed and direction. the unknown parameters of the basis functions and their weights are selected using a descent type optimization technique. Simulation results are presented.

关键词： Target detection Cameras Automatic tracking data processing Infrared imaging Infrared radiation MATLAB Neural networks Sensors signal processing

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Use of joint data association probabilities for covariance consistency

Use of joint data association probabilities for covariance c...

引用

13th conference on signal and data processing of small targets

作者： Blair, WD Brown, GC Georgia Inst Technol Georgia Tech Res Inst Atlanta GA 30332 USA

ISBN: (纸本)0819441872

Covariance consistency is a critical element of a robust target tracking system. Target maneuvers and measurement origin uncertainty pose significant challenges to a tracking algorithm achieving covariance consistency. the Interacting Multiple Model (IMM) estimator is a nearly consistent estimator for tracking maneuvering targets. While the Probabilistic data Association Filter (PDAF) achieves covariance, consistency for a single target in presence of false alarms, achieving covariance consistency while tracking multiple closely-spaced targets is an open Issue. When using an unique assignment technique for associating measurements-to-tracks, the measurements are typically processed with the track filter as if the measurement-to-track association probabilities are unity for each measurement-track pair. this processing of the measurements results in poor covariance consistency for closely-spaced targets. In this paper, the use of approximate association probabilities for each measurement-to-track pair is proposed for the unique assignments and included in the track filter processing of the measurement to enhance the covariance consistency for closely-spaced targets.

关键词： tracking data association radar systems

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Bayesian approach to avoiding track seduction

Bayesian approach to avoiding track seduction

引用

14th conference on signal and data processing of small targets

作者： Salmond, DJ Everett, NO QinetiQ Farnborough GU14 0LX Hants England

ISBN: (纸本)0819444782

the problem of maintaining track on a primary target in the presence spurious objects is addressed. Recursive and batch filtering approaches are developed. For the recursive approach, a Bayesian track splitting filter is derived which spawns candidate tracks if there is a possibility of measurement misassociation. the filter evaluates the probability of each candidate track being associated with the primary target. the batch filter is a Markov-chain Monte Carlo (MCMC) algorithm which fits the observed data sequence to models of target dynamics and measurement-track association. Simulation results are presented.

关键词： Bayesian methods target tracking multiple targets JPDAF MCMC

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Method for reticon signal processing in the Lower Latitude Meridian Circle (LLMC)

Method for reticon signal processing in the Lower Latitude M...

引用

13th conference on signal and data processing of small targets

作者： Li, BH Yang, L Mao, W Tie, QX Wang, XB Zhang, ZS Chinese Acad Sci Yunnan Observ Kunming Peoples R China

ISBN: (纸本)0819441872

the functions and characteristics of the 1(st) to 9(th) Reticon signals used to measure positions of reticle/slit images in the LLMC are described in this paper. According to their characteristics, we present a new method to process these Reticon signals, which consists of a filtering algorithm and a centering algorithm. the filtering algorithm is developed to process the 5(th) to 9(th) Reticon signals, because in these signals there are obvious disturbance components caused by the backaround light in the microscopes. An auto-estimating technique is developed to estimate and eliminate the disturbance signal of the background light by a piecewise-linear fitting. the centering algorithm is used to determine the positions of all the reticle/slit images in 3 steps. the first is to search all the wave crests and troughs of a Reticon signal, the next is to determine a threshold for each wave and then to center the wave by a modified moment method so as to get the position of the reticle/slit image, and the last step is to average all the position data of the waves in a Reticon signal to get an integrate position data of a group of reticles/slits in the corresponding reading microscope, the technique of implementation of the method in C++ programming language is also described in the paper.

关键词： signal processing filtering centering Reticon LLMC

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Alternative architectures for IMM tracking of maneuvering aircraft

Alternative architectures for IMM tracking of maneuvering ai...

引用

14th conference on signal and data processing of small targets

作者： Hutchins, RG Wilson, D Allred, LK Duren, R USN Postgrad Sch Monterey CA USA

ISBN: (纸本)0819444782

this paper presents the results of a study of tracking algorithms for maneuvering targets. the design focuses on alternative algorithms to track two-dimensional targets during maneuvers. the algorithms explored include a standard Kalman algorithm, an extended Kalman algorithm in which the target turn rate is an additional state variable, an interactive multiple model (IMM) algorithm consisting of two models with varying plant noise, a three-model IMM specifying three distinct target turn rates, and a constant gain alpha-beta filter. the IMM trackers tended to work the best in this study, with the three-model IMM performing the best overall.

关键词： target tracking maneuvering targets interactive multiple models

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Multi-level thresholding and confidence testing detection algorithm for small moving target in image sequences

Multi-level thresholding and confidence testing detection al...

引用

13th conference on signal and data processing of small targets

作者： Chen, HM Sun, GF Lu, HZ Qing, C Natl Univ Def Technol ATR Lab Changsha Hunan Peoples R China

ISBN: (纸本)0819441872

this paper describes a new method of small target detection according to the features of small moving targets. this method bases on multi level threshold decision-making and sliding trajectory confidence testing technology. Energy accumulating, multi-level thresholding, trajectory searching and matching, and trajectory confidence testing are combined in this method. the detection resolves the contrary requirement of real-time processing, large data throughput, high detection capability in small moving target detection in IR image sequences. Experiments have been conducted, the results show that the algorithm has advantages of high detection probability, simple structure, and excellent real time performance.

关键词： image sequences small moving target detection multi-level thresholding Trajectory Confidence Testing

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Map-enhanced tracking

Map-enhanced tracking

引用

17th conference on signal and data processing of small targets

作者： Sworder, DD Boyd, JE Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA

ISBN: (纸本)0819459186

Tracking moving vehicles has received less attention than its its aerial counterpart. the smooth velocity transitions common to aircraft are replaced with abrupt turns and and speed changes. though the kinematic evolution of a ground vehicle is more complex, the path is more restricted. For example, if target motion is constrained by a terrain map, the topography should be integrated into the tracking algorithm. this paper shows by means of an example that the Gaussian wavelet estimator is particularly suited to map-enhanced estimation.

关键词： nonlinear filters target tracking data fusion

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