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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121-130 订阅

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data association hypothesis evaluation for i.i.d. but non-Poisson multiple target tracking

Data association hypothesis evaluation for i.i.d. but non-Po...

引用

16th conference on signal and data processing of small targets

作者： Mori, S Chong, CY ALPHATECH Inc Mountain View CA 94040 USA

ISBN: (纸本)081945351X

This paper discusses the evaluation of data association hypotheses for a general class of multiple target tracking problems. We assume that the number of targets is unknown, and that given the number of targets, the joint target state distributions form a system of independent, identically distributed (i.i.d.) probability distributions. We are particularly interested in the case where the prior probability distribution of the number of targets is not necessarily Poisson. We will show that the Poisson assumption is not only sufficient but also necessary for the commonly used standard multiplicative hypothesis evaluation formula. Consequently, we claim that the use of the standard multiplicative hypothesis evaluation formula implies, either explicitly or implicitly, the Poisson assumption. We will also examine the Poisson assumption on the number of false alarms in each measurement set.

关键词： multiple target tracking data association hypothesis evaluation IID cluster non-Poisson point process

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Particle Filter Tracking for Long Range Radars

Particle Filter Tracking for Long Range Radars

引用

conference on signal and data processing of small targets

作者： Romeo, Kevin Willett, Peter Bar-Shalom, Yaakov Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA

ISBN: (纸本)9780819490711

In this paper we present an approach for tracking in long range radar scenarios. We show that in these scenarios the extended Kalman filter is not desirable as it suffers from major consistency problems, and that particle filters may suffer from a loss of diversity among particles after resampling. This leads to sample impoverishment and the divergence of the filter. In the scenarios studied, this loss of diversity can be attributed to the very low process noise. However, a regularized particle filter and the Gaussian Mixture Sigma-Point Particle Filter are shown to avoid this diversity problem while producing consistent results.

关键词： Particles Particle filters Detection and tracking algorithms Radar Filtering (signal processing) Gaussian filters Digital filtering Expectation maximization algorithms Statistical analysis signal processing

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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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Evaluation of data association techniques in a real multi-target radar tracking environment

Evaluation of data association techniques in a real multi-ta...

引用

signal and data processing of small targets 1995 conference

作者： HU, ZJ LEUNG, H BLANCHETTE, M ATLANTIS SCI SYST GRP INC OTTAWAON K2C 0P9CANADA

ISBN: (纸本)0819419206

This paper assesses tracking performance of a number of commonly-used data association techniques, including the nearest-neighbor (NN) data association with optimal and sub-optimal assignments, the weighted-average and nearest-neighbor version of the probabilistic data association (PDA), joint probabilistic data association (JPDA), cheap JPDA, and sub-optimal JPDA. The real radar tracking data used for the performance evaluation in this paper contain multiple maneuvering and non-maneuvering air targets in various clutter conditions. The study shows that all the data association methods perform well when the targets are well separated with near straight-line trajectories. In the case of closely spaced and maneuvering targets, the NN and NN version of JPDA methods are more effective than the weighted-average PDA and JPDA methods.

关键词： MULTIPLE TARGET TRACKING data ASSOCIATION NEAREST-NEIGHBOR data ASSOCIATION PROBABILISTIC data ASSOCIATION JOINT PROBABILISTIC data ASSOCIATION

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A wavelet-based regularization scheme for HRR radar profile enhancement for use in automatic target recognition

A wavelet-based regularization scheme for HRR radar profile ...

引用

16th conference on signal and data processing of small targets

作者： Morris, HC DePass, MM San Jose State Univ Dept Math San Jose CA 95192 USA

ISBN: (纸本)081945351X

Cetin(1-2) has applied non-quadratic optimization methods to produce feature-enhanced high-range resolution (ERR) radar profiles. This work concerned ground-based targets and was carried-out in the temporal domain. In this paper, we propose a wavelet-based-half-quadratic technique(3) for ground-to-air target identification. The method is tested on simulated data generated by standard techniques(4). This analysis shows the ability of the proposed method to recover high-resolution features such as the locations and amplitudes of the dominant scatterers in the HRR profile. This suggests that the technique potentially may help improve the performance of HRR target recognition systems.

关键词： high range-resolution radar wavelets signal reconstruction non-quadratic optimization superresolution

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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...

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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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Prototype system for multi-sensor tracking with sensor bias correction

Prototype system for multi-sensor tracking with sensor bias ...

引用

conference on signal and data processing of small targets 2000

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

ISBN: (纸本)0819436747

Fusion tracking using data from multiple, distributed sensors will only be successful if the bias associated with each platform can be estimated and removed before data fusion is attempted. In many cases, the sensors cannot be reliably calibrated in advance and it is necessary to rely upon targets of opportunity. Bias estimation must then become part of an integrated data fusion system. This paper demonstrates the feasibility of such system, using TOTS to provide the multi-model, multi-sensor tracking capability, with additional functionality to support the bias estimation and correction based on whatever common targets are observed. Such a prototype system is shown to be effective, and is valuable in highlighing the main issues that must be addressed before a full system can be fielded.

关键词： Sensors Prototyping data fusion Passive sensors Sensor calibration Calibration data corrections Logic 3D acquisition Reliability

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Block-Division Based Ultra-wideband Fusion of Multiple Radar Bands for Resolution Enhanced Imagery 12

Block-Division Based Ultra-wideband Fusion of Multiple Radar...

引用

12th International conference on signal processing and Communication Systems (ICSPCS)

作者： Yuan, Saisai Chen, Chengzeng Xu, Xiaojian Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China Beijing Inst Radio Measurement Beijing Peoples R China

ISBN: (纸本)9781538656020

Parametric model based ultra-wideband fusion of multiple radar band data is usually not directly applicable to radar image processing for large sized complex targets, due to the fact that the required model orders are extremely high. In this paper, a block-division based data fusion technique is proposed, which can be used for multiple radar band fusion over ultra-wide bandwidth and image resolution enhancement for complex targets. In image domain, a large sized complex target is first divided into small blocks for each radar band. Each block is then equivalent to a small sized simple target whose missing phase history data between two different radar bands can be interpolated based on parametric models derived from the measurement data of the corresponding bands. Resolution enhanced image can then be reconstructed by integrating all the image blocks generated from the multi-band fused data. Numerical examples are presented to demonstrate the usefulness of the proposed technique.

关键词： radar imaging ultra-wideband data fusion complex target block-division

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Real-world tracking system performance evaluation

Real-world tracking system performance evaluation

引用

14th conference on signal and data processing of small targets

作者： Blackman, SS Dempster, RJ Raytheon Elect Syst El Segundo CA 90245 USA

ISBN: (纸本)0819444782

Preliminary tracking system design and analysis is typically done using simulated data in which the target truth is known and many techniques have been developed for evaluating performance under these conditions. However, there is a notable lack of any consistent approach for evaluating tracker performance for "real" data in which there may be an unknown number of "targets of opportunity" whose trajectories are not known. In addition, the background clutter/false alarm environment may be unknown so that an important analysis task is to determine the most accurate background models. This paper proposes a set of criteria for evaluating the tracks that are formed using "real" data collected in the field in the presence of an unknown number of "targets of opportunity". These criteria include duration, update history, and measures of kinematic and data association consistency. A scoring method is developed and the use of these criteria for system design is discussed.

关键词： multiple target tracking performance evaluation real data

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Tracking ground vehicles on a grid

Tracking ground vehicles on a grid

引用

16th 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)081945351X

Hybrid models have proven useful for tracking targets with multiple motion modes. Most emphasis in the literature has been devoted to aircraft which transition from constant velocity motion to constant (or nearly constant) turns and back. Ground targets motions have received less attention despite similarities with aircraft. This paper presents a study of the ground-tracking problem using the Gaussian wavelet estimator as the basic algorithm. The sensor suite contains a matrix of range-bearing sensors of quality that is strongly range dependent. There also may be an acoustic sensor which provides an auxiliary speed measurement. It is shown that the high degree of partitioning of the kinematic state space provided by the algorithm is useful in this application.

关键词： nonlinear filters target tracking data fusion

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