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检索条件"任意字段=13th Conference on Signal and Data Processing of Small Targets"

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

Probabilistic data association filter with binomial distribu...

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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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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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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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New lamps for old: A shell game for generalized likelihood ratio use in radar? Or this isn't you father's GLR!

New lamps for old: A shell game for generalized likelihood r...

引用

13th conference on signal and data processing of small targets

作者： Kerr, th TeK Associates Lexington MA USA

ISBN: (纸本)0819441872

We alert the reader here to a discrepancy between what has recently been referred to as the Generalised Likelihood Ratio (GLR) approach to radar target detection and what has historically been used as the GLR approach to this same problem in detection theory. Despite these identified discrepancies, the recent version is tractable arid has desirable properties and consequently exhibits behavior that is very encouraging. After making the necessary clarifications, we summarize the status of the new pseudo-GLR and contrast it to what was available from the older (evidently antiquated) literature on GLR formulation, which, however, did serve as an historical precedent.

关键词： detection theory from first principles statistical basis of generalized likelihood ratio hypotheses tests mixed hypotheses GLR radar target detection and tracking nonlinear filtering growing banks-of-kalman filters (not IMM) central limit theorem (CLT) update

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An efficient one-scan-back PDAF for target tracking in clutter

An efficient one-scan-back PDAF for target tracking in clutt...

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13th conference on signal and data processing of small targets

作者： Zwaga, JH Driessen, H THALES Nederland NL-7554 RR Hengelo Netherlands

ISBN: (纸本)0819441872

In this paper we present an efficient one-scan-back Probabilistic data Association Filter (PDAF). Regarding the general case of an N-scan-back PDAF, it has been noted in the literature that with each additional scan back, there is a considerable increase in computational load while the amount of improvement in tracking performance diminishes [1], [2]. We therefore have designed a filter that aims to benefit at a minimal increase in computational cost from the one-scan-back architecture that effectively rules out unlikely measurement pairings. In this filter, we use the measurements in the previous scan only to produce better weights for the measurements in the present scan. thus, as compared to a 'full' one-scan-back PDAF, we considerably reduce the number of updating and merging steps each scan. For the proposed filter, and the closely related 'standard' (zero-scan-back) PDAF [3] and 'full' one-scan-back PDAF, we provide the theoretical background, numerical implementation, and simulation results.

关键词： target tracking probabilistic data association clutter

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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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Analysis and optimization of a class of nonlinear detection filters

Analysis and optimization of a class of nonlinear detection ...

引用

13th conference on signal and data processing of small targets

作者： Singer, PF Raytheon Co El Segundo CA 90245 USA

ISBN: (纸本)0819441872

It is well known that the matched filter is the optimal linear detection filter but, this allows for the possible existence of a nonlinear detection filter with better performance. this paper considers the class of nonlinear detection filters that are composed of a linear filter followed by an arbitrary point process. the result is general enough to include detection paradigm in which the signal model is not additive. the ROC (receiver operating characteristic) curve of a general point process is analyzed. this analysis reveals that nonreversibility and not nonlinearity of the point process is responsible for the improvement of the ROC curve. that is, an reversible point process, either linear or nonlinear, leaves the ROC curve unchanged. However, a nonreversible point process will alter the ROC curve. this result is used to define a canonical ROC curve which is then utilized to derive the optimal point process, Several simple forms of the point process are considered first then the general optimal point process is derived. the technique is illustrated with several examples. Results for the special cases of unimodal signal densities receive particular attention.

关键词： detection filter nonlinear nonreversible receiver operating characteristic signal model

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Network MFA tracking architectures

Network MFA tracking architectures

引用

13th conference on signal and data processing of small targets

作者： Lu, SH Poore, AB Suchomel, BJ Colorado State Univ Dept Math Ft Collins CO 80523 USA

ISBN: (纸本)0819441872

this work presents some initial steps in the development of a decentralized network centric multiple. frame assignment (MFA) class of architecture algorithms that affordably preserves the quality of a centralized architecture across a network of platforms while managing communication loading and achieving a consistent air picture on entities of interest for each platform. In particular, this work discusses four architectures, namely, Centralized, Network MFA Centralized, Network MEA, on Local data and Network Tracks, and Network MFA on All data and Network Tracks and the results of extensive computations with the architectures.

关键词： centralized architecture network MFA centralized network MFA on local data and network tracks network MFA on all data and network tracks

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Reducing MHT computational requirements through use of Cheap JPDA methods

Reducing MHT computational requirements through use of Cheap...

引用

13th conference on signal and data processing of small targets

作者： Quevedo, H Blackman, S Nichols, T Dempster, R Wenski, R Raytheon Syst Co El Segundo CA 90245 USA

ISBN: (纸本)0819441872

Hypothesis formation is a major computational burden for any multiple hypotheses tracking (MHT) method. In particular, a track-oriented MHT method defines compatible tracks to be tracks not sharing common observations and then re-forms hypotheses from compatible tracks after each new scan of data is received. the Cheap Joint Probabilistic data Association (CJPDA) method provides an efficient means for computing approximate hypothesis probabilities. this paper presents a method for extending CJPDA calculations in order to eliminate low probability track branches in a track-oriented MHT method. the method is tested using IRST data. this approach reduces the number of tracks in a cluster and the resultant computations required for hypothesis formation. It is also suggested that the use of CJPDA methods can reduce assignment matrix sizes and resultant computations for the hypothesis-oriented (Reid's algorithm) MHT implementation.

关键词： multi target tracking (MTT) multiple hypothesis tracker (MHT) Cheap Joint Probabilistic data Association (CJPDA) infrared search and track (IRST)

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New approach to detect dim moving point targets based on motion analysis

New approach to detect dim moving point targets based on mot...

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13th conference on signal and data processing of small targets

作者： Dong, NL Jin, G Qi, B Ma, JG Chinese Acad Sci Inst Opt & Elect Chengdu 610209 Peoples R China

ISBN: (纸本)0819441872

Dim point targets detection in highly cluttered backgrounds is a challenging problem. In this paper we describe the development and the implementation of a new effective methodology to detect moving point targets in infrared or visual images. the new approach is based on mathematical morphology and motion analysis. First, the image is filtered by means of gray-scale morphology in order to reject background objects. then, with the residual image a motion analysis based on trajectory conjunction is carried out to extract the potential point like moving targets. In the motion analysis stage we define a function to describe the characteristics of moving targets, and by this means a strategy is constructed to judge whether or not a given area contains the potential moving target. through motion analysis, the non-target points are kicked out while the true target points are detected out after merely several frames of image. this approach doesn't depend on threshold techniques and requires no assumptions about the behavior of the target motion. the only limitation is that the target's speed doesn't exceed several pixels per frame. A test study based on available database is presented, and the results so far indicate that this approach to detect moving point target is highly effective.

关键词： low contrast point target detection nonlinear image processing motion analysis mathematical morphology small target

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