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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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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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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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A multiple model multiple hypothesis filter for tracking maneuvering targets

A multiple model multiple hypothesis filter for tracking man...

引用

13th conference on signal and data processing of small targets

作者： Driessen, H Boers, Y THALES NEDERLAND NL-7554 RR Hengelo Netherlands

ISBN: (纸本)0819441872

In this paper a new method is presented to deal with multiple model filtering. the method is the so called Multiple Model Multiple Hypothesis Filter (MMMH filter). For each hypothesis a Kalman filter is running. this hypothesis represents a specific model mode sequence history. the proposed method has a high level of genericity and is highly flexible. the main feature is that the number of hypotheses that are maintained varies with the 'difficulty' of a scenario. It is shown that the MMMH performs better than the widely used Interacting Multiple Model (IMM) filter.

关键词： target tracking mutiple model filtering radar systems

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GMTI-tracking and information fusion for ground surveillance

GMTI-tracking and information fusion for ground surveillance

引用

13th conference on signal and data processing of small targets

作者： Koch, WG FKIE FGAN D-53343 Wachtberg Germany

ISBN: (纸本)0819441872

the aim of ground surveillance with airborne GMTI radar is the near real-time production of a dynamic ground picture. Since the sensors often record merely certain aspects of the situation of interest, information fusion is of particular importance. In addition, even after platform motion compensation by signal processing techniques (STAP), ground moving targets can well be masked by the clutter notch of the sensor. this physical phenomenon directly results from the low-DOPPLER characteristics of the targets and causes interfering fading effects that seriously affect the tracking performance/continuity. In this context a GMTI sensor model provides significant performance improvements being relevant also to sensor data fusion. the Minimum Detectable Velocity (MDV) proves to be an important sensor parameter explicitly entering into GMTI tracking. In combination with road map information or sensor data fusion the refined model can in particular alleviate the recognition of stopping targets. A numerical example quantitatively illustrates the potential gain by exploiting GMTI-modeling, road-maps, and sensor fusion.

关键词： ground moving targets (GMT) GMTI radar Bayesian target tracking PDA MHT sensor data fusion road map information minimum detectable velocity (MDV) space-time adaptive processing (STAP) doppler blindness

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Probabilistic data association filter with binomial distributed false alarms for radar tracking

Probabilistic data association filter with binomial distribu...

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 Sensors & Electromagnet Applicat Lab Air & Missile Def Div Atlanta GA 30332 USA

ISBN: (纸本)0819441872

In this paper, two modifications are made to the derivation of the PDAF: one replaces the Poisson distributed false alarms with a binomial distribution, the other involves the assumed distribution of the angular measurements associated with false alarms. the Binomial distribution better fits the kind of data typically seen in radar because the track gate typically, involves a small number of candidate range cells. the second modification is founded on the assumption that the angle-of-arrival estimates are produced with monopulse techniques. Previous work has modeled the false measurements as being uniformly distributed in the uncertainty volume of the track gate, while a more accurate approach recognizes that the angle components of the false alarms are better modeled as Gaussian perturbations about beam center.

关键词： multitarget tracking data association radar signal processing phased array radar systems

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An improved clustering approach for multiplatform data fusion

An improved clustering approach for multiplatform data fusio...

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13th conference on signal and data processing of small targets

作者： de Waard, HW Elgersma, V Thales Naval Nederland BV NL-7550 GD Hengelo Netherlands

ISBN: (纸本)0819441872

In the first part of the paper a new solution is proposed for distributed multiplatform data fusion, in which the different platforms exchange only compressed, track-related information. An improved clustering concept is introduced based on the premise that a cluster call contain a number of independent components, and based oil the definition of a marginal bearing density function for the measurements produced by a certain track. Based oil the found independent components new clusters can be formed. In the second part of the paper experimental evidence for the existence of independent components is presented. Furthermore, for the simulated multiplatform system experimental results concerning platform tracking and the reduction in the use of computer computation time, based oil implemented measures from,(1) are presented.

关键词： Distributed multiplatform data fusion multiple target tracking data-association M(ultiple) H(ypothesis) T(racking) independent component standard building block

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Tracking of low-observable small targets against clutter

Tracking of low-observable small targets against clutter

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13th conference on signal and data processing of small targets

作者： Shue, L Venkateswarlu, R Lim, ET Nanyang Technol Univ Ctr Signal Proc Singapore 639798 Singapore

ISBN: (纸本)0819441872

Detection and tracking of low-observable moving targets against heavy clutter in a sequence of infrared images is an important research area. the focus of research in this area is to reliably pick up the most potential targets, track the targets with varying speed and direction, and at the same time reduce the false alarm rate to ala acceptable level. However, there is no single method that works equally well hi all situations. this paper presents an integrated algorithm based on area-correlation tracker (ACT) and Kalman filter for improving ACT performance for targets with varying speed and direction. Divergence and loss of target when the target is stationary are the two typical problems associated with ACT. In our algorithm, we propose to overcome these shortcomings by introducing an online procedure for updating (or not updating in the case of occlusions) the reference template, in conjunction with linear predictions by using a Kalman filter.

关键词： small target image registration area-correlation Kalman filter

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