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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131-140 订阅

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Radar sea reflection for low-e-targets

Radar sea reflection for low-e-targets

引用

conference on signal and data processing of small targets

作者： Chow, WC Groves, GW US Bur Census Demog Stat Methods Div Current Populat Survey Branch Washington DC 20233 USA

ISBN: (纸本)0819428221

Modeling radar signal reflection from a wavy sea surface uses a realistic characteristic of the large surface features and parametrizes the effect of the small roughness elements. Representation of the reflection coefficient at each point of the sea surface as a function of the Specular Deviation Angle is, to our knowledge, a novel approach. The objective is to achieve enough simplification and retain enough fidelity to obtain a practical multipath model. The "Specular Deviation Angle" as used in this investigation is defined and explained. Being a function of the sea elevations, which are stochastic in nature, this quantity is also random and has a. probability density function. This density function depends on the relative geometry of the antenna. and target positions, and together with the beam-broadening effect of the small surface ripples determines the reflectivity of the sea surface at each point. The probability density function of the Specular Deviation Angle is derived. The distribution of the Specular Deviation Angle as function of position on the mean sea surface is described.

关键词： multipath waves radar reflection probability density

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data Modeling for Nonlinear Track Prediction of targets through Obscurations

Data Modeling for Nonlinear Track Prediction of Targets thro...

引用

conference on signal and data processing of small targets

作者： Jaenisch, Holger Handley, James Johns Hopkins Univ Zanvyl Krieger Sch Baltimore MD 21218 USA Licht Strahl Engn INC Toney AL 35773 USA

ISBN: (纸本)9780819490711

A novel algorithm for predicting target tracks through obscurations is introduced. This prediction method uses radar ground track indicators and the hidden transfer function (HTF) to predict future target locations. The HTF method is described in detail, and results provided that quantify track accuracy, forecast accuracy, and the percentage of tracks exiting an obscuration occurring that occur within the forecasted region. Five different classifier methods are shown for labeling short segments of track history. Each classifier method is scored and significance testing used to determine that the data Model and SMART lookup table (LUT) were significantly better than the other classifier approaches.

关键词： data Modeling Random Forest Spatial Voting Predictive lookup tables Smart lookup tables

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Noise-induced outpulsing technique for energy efficiency improvement of laser radar systems

Noise-induced outpulsing technique for energy efficiency imp...

引用

conference on signal and data processing of small targets

作者： Serikova, Maria G. Lebedko, Evgeny G. St Petersburg State Univ Informat Technol Mech & St Petersburg 197101 Russia

ISBN: (纸本)9780819487476

There are stringent false alarm probability demands on laser radar systems systems, although their operation is often accompanied by a complex target environment, when the signal-to-noise ratio is low. New signal processing technique for laser radar systems is suggested. The technique provides detection of a backscattered signal from a target during an interval between a receiver noise bursts A pulse shoot is matched with a trailing edge of a noise burst, and the signal presence decision is made according to leading edge of the next burst. There is a contradiction between the impulse frequency and false alarm probability demands, that is why double-threshold processing is offered. The lower level induces outpulsing while the higher one determines target detection performance. Since duration of such sophisticated time intervals is random, statistic analysis was made via numerical model. The technique is aimed at providing low false alarm probability and energy efficiency of the system at the same time.

关键词： laser radar system signal detection low signal-to-noise ratio processing levels-crossing interval distribution energy efficiency

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High-resolution radar ranging for multiple targets

High-resolution radar ranging for multiple targets

引用

14th conference on signal and data processing of small targets

作者： Wang, Z Willett, P Bar-Shalom, Y Blair, WD Univ Connecticut Storrs CT 06269 USA

ISBN: (纸本)0819444782

The similarity between the multiple-target radar ranging problem and the multi-user detection problem in CDMA is drawn: in CDMA, users' bits modulate distinct but correlated signature signals;while, in radar, the "bits" are range-bin occupancies and the "signatures" correspond to the known transmitted signal translated to be centered on the appropriate range bin. The analogy is useful: there has been a great deal of recent experience in CDMA, and one of the best and fastest algorithms uses a variant of probabilistic data association (PDA, the target-tracking philosopk). PDA can be augmented by group decision feedback (GDF) - another idea from CDMA - to refine the target delay- estimates;and finally minimum description length (MDL) is applied to estimate the munber of targets. Simulation examples are given to illustrate the resolution of closely-spaced targets within what would normally- be thought the same range bin. Its performance is also compared with the Cramer-Rao lower bound (CRLB) and the alternating projection (AP) algorithm.

关键词： Personal digital assistants Radar Detection and tracking algorithms Target detection Expectation maximization algorithms signal detection signal to noise ratio Ranging Correlation function Modulation

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Retrodiction for Bayesian multiple hypothesis/multiple target tracking in densely cluttered environment

Retrodiction for Bayesian multiple hypothesis/multiple targe...

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conference on signal and data processing of small targets 1996

作者： Koch, W FGAN FORSCHUNGSINST FUND & MATHD-53343 WACHTBERGGERMANY

ISBN: (纸本)0819421405

Sensor data processing in a dense target/dense clutter environment is inevitably confronted with data association conflicts which correspond with the multiple hypothesis character of many modern approaches (MHT: multiple hypothesis tracking). In this paper we analyze the efficiency of retrodictive techniques that generalize standard fixed interval smoothing to MHT applications. 'Delayed estimation' based on retrodiction provides uniquely interpretable and accurate trajectories from ambiguous MHT output if a certain time delay is tolerated. In a Bayesian framework the theoretical background of retrodiction and its intimate relation to Bayesian MHT is sketched. By a simulated example with two closely-spaced targets, relatively low detection probabilities, and rather high false return densities, we demonstrate the benefits of retrodiction and quantitatively discuss the achievable track accuracies and the time delays involved for typical radar parameters.

关键词： retrodiction dense target/dense clutter environment probabilistic data association (PDA) multiple hypothesis tracking (MHT) target/identification/classification

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Detection of small objects in multi-layered infrared images

Detection of small objects in multi-layered infrared images

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20th conference on signal and data processing of small targets

作者： Wang, Jing Bao, Shangqi Ralph, Jason F. Goulermas, John Y. Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3GJ Merseyside England

ISBN: (纸本)9780819471604

This paper uses super-resolution methods to detect small objects in infrared image sequences from a simulated airborne platform, using image registration techniques for automatic sightline stabilisation. The scene consists of multiple layers, corresponding to a static background scene and layers of cloud cover at varying heights. The motivation is to evaluate the performance of super-resolution methods in the presence of three-dimensional structured infrared clutter.

关键词： object detection super-resolution automatic sightline stabilisation infrared imagery clouds

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LIKELIHOOD INTERPOLATION FOR PEAK DETECTION

LIKELIHOOD INTERPOLATION FOR PEAK DETECTION

引用

conference on signal and data processing of small targets 1994

作者： LINDGREN, R WESTON, D ARETE ASSOCIATES SHERMAN OAKSCA 91413

ISBN: (纸本)0819415391

In this paper we present a likelihood technique for determining candidate target detections to pass to a tracker over successive temporal intervals. In a representative situation sensor data are available from each interval as matched-filter output sampled at discrete position-velocity state hypotheses. A likelihood ratio for an arbitrary target hypothesis from the continuous state domain can be constructed from the sampled filter output, and we seek local maxima in this likelihood-ratio field as the candidate detections. We obtain a readily implemented algorithm which closely follows this optimal prescription by limiting the sample points in the likelihood construction to the immediate vicinity of a discrete local maximum in the filter output.

关键词： signal to noise ratio Electronic filtering Detection and tracking algorithms Target detection Interference (communication) signal detection Reconstruction algorithms Sensors Radon signal attenuation

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Proceedings of SPIE - signal and data processing of small targets 2004

Proceedings of SPIE - Signal and Data Processing of Small Ta...

引用

signal and data processing of small targets 2004

The proceedings contain 50 papers from the conference on SPIE- signal and data processing of small targets 2004. The topics discussed include: background modeling and target segmentation via modified Kalman filtering;automatic target selection in video signals;detection of small targets in IR image sequences using VSLMS;multiple model tracking using fuzzy clustering;tracking maneuvering targets using a scale mixture of normals;physics-based computational complexity of nonlinear filters;IMM estimator with out-of-sequence measurements;feature aided tracking (FAT) and tracking ground vehicles on a grid.

关键词： Digital signal processing

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Estimating trackability

Estimating trackability

引用

conference on signal and data processing of small targets

作者： Van Zandt, James R. MITRE Corp. (United States)

ISBN: (纸本)9780819490711

Target tracking sensors and algorithms are usually evaluated using Monte Carlo simulations covering a large parameter space. We show a tracker for which the evaluation can be greatly simplified. We apply it to the one dimensional crossing track problem (e. g. ground target tracking in a dense target environment, where targets are confined to a road), and estimate the probability that measurements and tracks are incorrectly associated. If only position is measured, we find the probability of a misassociation is a very simple analytic function of the relevant parameters: measurement standard deviation, measurement interval, target density, and target acceleration. For normally distributed target velocities, the average time between misassociations also has a simple form. We suggest roll-up metrics for tracking sensors and tracking problems.

关键词： tracking data association performance evaluation performance metrics

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Wide-Area Feature-Aided Tracking with Intermittent Multi-Sensor data

Wide-Area Feature-Aided Tracking with Intermittent Multi-Sen...

引用

conference on signal and data processing of small targets 2010

作者： Carthel, Craig Coraluppi, Stefano Bryan, Karna Arcieri, Gianfranco NATO Undersea Res Ctr I-19126 La Spezia Italy

ISBN: (纸本)9780819481627

This paper addresses multi-sensor surveillance where some sensors provide intermittent, feature-rich information. Effective exploitation of this information in a multi-hypothesis tracking context requires computationally-intractable processing with deep hypothesis trees. This report introduces two approaches to address this problem, and compares these to single-stage, track-while-fuse processing. The first is a track-before-fuse approach that provides computational efficiency at the cost of reduced track continuity;the second is a track-break-fuse approach that is computationally efficient without sacrificing track continuity. Simulation and sea trial results are provided.

关键词： Multi-sensor multi-target tracking maritime surveillance multi-stage data fusion

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