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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101-110 订阅

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OPTIMUM DETECTION IN DUAL-CHANNEL GAUSSIAN data WITH LOCALIZED INTERFERENCE

OPTIMUM DETECTION IN DUAL-CHANNEL GAUSSIAN DATA WITH LOCALIZ...

引用

conference on signal and data processing of small targets 1994

作者： WARREN, RE SRI INT MENLO PKCA 94025

ISBN: (纸本)0819415391

This paper derives a likelihood-ratio detector for bivariate time-series data having target- and correlated non-target-bearing components with randomly distributed, single-cell spike noise in one or both channels. After defining the detection problem explicitly, the detector is constructed as an analytic expression. A specific implementation of the approach is presented using a bivariate first-order autoregressive model for the correlation structure of the data. A computer model for the detector is constructed, and results using simulated data verify the usefulness of the approach in removing strong pike noise without damage to the target signal.

关键词： Sensors Target detection data modeling Autoregressive models Computer simulations Detector development Interference (communication) Matrices signal detection Picosecond phenomena

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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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Improved Multiframe Association for Tracking Maneuvering targets

Improved Multiframe Association for Tracking Maneuvering Tar...

引用

conference on signal and data processing of small targets

作者： Habtemariam, Biruk K. Tharmarasa, R. Nandakumaran, N. McDonald, M. Kirubarajan, T. McMaster Univ ECE Dept Hamilton ON Canada Curtin Univ Technol Perth WA Australia Def Res & Dev Canada Ottawa ON Canada

ISBN: (纸本)9780819487476

data association is the crucial part of any multitarget tracking algorithm in a scenario with multiple closely spaced targets, low probability of detection and high false alarm rate. Multiframe assignment, which solves the data association problem as a constrained optimization, is one of the widely accepted methods to handle the measurement origin uncertainty. If the targets do not maneuver, then multiframe assignment with one or two frames will be enough to find the correct data association. However, more frames must be considered in the data association for maneuvering targets. Also, a target maneuver might be hard to detect when maneuvering index, which is the function of sampling time, is small. In this paper, we propose an improved multiframe data association with better cost calculation using backward multiple model recursion, which increases the maneuvering index. The effectiveness of the proposed algorithm is demonstrated with simulated data.

关键词： multiframe data association interacting multiple model maneuvering targets smoothing out-of-sequence measurements

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NEW EXACT NONLINEAR FILTERS - THEORY AND APPLICATIONS

NEW EXACT NONLINEAR FILTERS - THEORY AND APPLICATIONS

引用

conference on signal and data processing of small targets 1994

作者： DAUM, FE RAYTHEON CO DIV EQUIPMENTWAYLANDMA 01778

ISBN: (纸本)0819415391

A new exact recursive filter is derived for nonlinear estimation problems. The new nonlinear theory includes the Kalman filter as a special case. This filter is practical to implement in real- time applications, and it has a computational complexity that is comparable to the Kalman filter. The measurements are made in discrete time, but the random process to be estimated evolves in continuous time.

关键词： Nonlinear filtering Filtering (signal processing) Time metrology Digital filtering Radar Electronic filtering Error analysis Differential equations Palladium Process modeling

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Tracking Low SNR targets Using Particle Filter with Flow Control

Tracking Low SNR Targets Using Particle Filter with Flow Con...

引用

conference on signal and data processing of small targets

作者： Moshtagh, Nima Romberg, Paul M. Chan, Moses W. Lockheed Martin Space Syst Co Adv Technol Ctr Sunnyvale CA 94089 USA

ISBN: (纸本)9781628410297

In this work we study the problem of detecting and tracking challenging targets that exhibit low signal-to-noise ratios (SNR). We have developed a particle filter-based track-before-detect (TBD) algorithm for tracking such dim targets. The approach incorporates the most recent state estimates to control the particle flow accounting for target dynamics. The flow control enables accumulation of signal information over time to compensate for target motion. The performance of this approach is evaluated using a sensitivity analysis based on varying target speed and SNR values. This analysis was conducted using high-fidelity sensor and target modeling in realistic scenarios. Our results show that the proposed TBD algorithm is capable of tracking targets in cluttered images with SNR values much less than one.

关键词： Particle Filtering Dim Target Tracking Track-Before-Detect Algorithms

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GATE SIZE FOR SEQUENTIAL MOST PROBABLE HYPOTHESIS TRACKING

GATE SIZE FOR SEQUENTIAL MOST PROBABLE HYPOTHESIS TRACKING

引用

conference on signal and data processing of small targets 1994

作者： DRUMMOND, OE HUGHES MISSILE SYST CO RANCHO CUCAMONGACA 91703

ISBN: (纸本)0819415391

The choice of gate size depends on the type of data association algorithm used and the optimization criteria. A prior well known analysis has presented a practical gate size for tracking approaches that sequentially select the most probable hypothesis. This paper revisits that analysis and presents an alternate approach. The intent of the gate sizing in this paper is to design the largest gate that eliminates any observation from the gate whose hypothesis probability is less than the null hypothesis probability. A study of the two approaches to sizing a gate reveals a dilemma and inconsistencies that under further scrutiny are resolved for reasonable conditions by decomposing the null hypothesis into two hypotheses.

关键词： Target detection Detection and tracking algorithms Neodymium Filtering (signal processing) data processing Optimization (mathematics) Computing systems Error analysis Missiles Sensors

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LONG-RANGE AUTOMATIC DETECTION OF small targets IN SEQUENCES OF NOISY THERMAL INFRARED IMAGES

LONG-RANGE AUTOMATIC DETECTION OF SMALL TARGETS IN SEQUENCES...

引用

conference on signal and data processing of small targets 1994

作者： BORGHYS, D PERNEEL, C ACHEROY, M ROYAL MIL ACAD DEPT ELECT ENGNB-1040 BRUSSELSBELGIUM

ISBN: (纸本)0819415391

In this paper, an approach to the automatic detection of vehicles at long range using sequences of thermal infrared images is presented. The vehicles in the sequences can be either moving or stationary. The sensor can also be mounted on a moving platform. The target area in the images is very small, typically less than 10 pixels on target. The proposed method consists of two independent parts. The first part seeks for possible targets in individual images and then merges the results for a subsequence of images. The second part of the algorithm specifically focuses on finding moving objects in the scene.

关键词： Target detection Detection and tracking algorithms Image segmentation Sensors Infrared imaging Infrared radiation Thermography Infrared detectors Clouds Motion models

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Examination of Micro-Doppler Signatures of Drone and Seagulls with X-Band Noise Radar 32

Examination of Micro-Doppler Signatures of Drone and Seagull...

引用

32nd IEEE signal processing and Communications Applications conference (SIU)

作者： Gumen, Kartal Kaan Paker, Selcuk Savci, Kubilay Istanbul Tech Univ Uydu Haberlesmesi & Uzaktan Algilama Istanbul Turkiye Istanbul Tech Univ Elekt & Haberlesme Muhendisligi Istanbul Turkiye Koc Univ Elekt & Elekt Muhendisligi Istanbul Turkiye

ISBN: (纸本)9798350388978;9798350388961

In this study, data obtained from near-range radar responses collected by an X-band noise radar targeting small aerial objects such as drones and seagulls have been analyzed for the purpose of target discrimination. The research aims to identify distinctive features in terms of range, speed, and micro-Doppler signatures of small air targets using a noise radar operating at the same frequency as maritime ship radars. This approach has not only facilitated the detection of small air targets with low Radar Cross Section (RCS) but also contributed additional information for classifying these targets. Considering that the noise radar used during the measurements possesses characteristics typical of a marine radar, this work has effectively demonstrated the extraction of micro-Doppler signatures of drones and seagulls performing various maneuvers in a maritime environment.

关键词： Noise Radar signal processing Target Detection Micro Doppler Signature Time-Frequency Analysis

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H-PMHT for Correlated targets

H-PMHT for Correlated Targets

引用

conference on signal and data processing of small targets

作者： Davey, Samuel J. Wieneke, Monika Gordon, Neil J. Defence Science and Technology Organisation (Australia) Univ. of Bonn (Germany)

ISBN: (纸本)9780819490711

The Histogram Probabilistic Multi-Hypothesis Tracker (H-PMHT) is a parametric track-before-detect algorithm that has been shown to give good performance at a relatively low computation cost. Recent research has extended the algorithm to allow it to estimate the signature of targets in the sensor image. This paper shows how this approach can be adapted to address the problem of group target tracking where the motion of several targets is correlated. The group structure is treated as the target signature, resulting in a two-tiered estimator for the group bulk-state and group element relative position.

关键词： Image sensors Detection and tracking algorithms Sensors Motion models Expectation maximization algorithms Image processing Process modeling Statistical analysis Image segmentation Motion estimation

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Multifocal matrix method of image forming objects at higher-than-Rayleigh resolution and determining their geometric and dynamic parameters

Multifocal matrix method of image forming objects at higher-...

引用

conference on signal and data processing of small targets 1997

作者： Mandrosov, VI Institute of Physics and Technology (Russia)

ISBN: (纸本)0819425850

A multifocal matrix method for super Rayleigh resolution imaging and determining geometric and dynamic parameters of objects is developed and studied. The key element of the method is a multifocal matrix consists of focusing elements. The coherent light scattered by an object is focused by these elements and focused fields are detected at elements focused. The results of detection are used for determining the angular coordinates, amplitudes and phases of light fields scattered by different parts of the object surface. If the object under investigation consists of closely spaced small targets that cannot be resolved using the Rayleigh criterion, the method provides a useful tool for determining the angular coordinates, velocity, scattering coefficient and the distance of each target. The effect of the additive noise of focusing detector elements on the angular resolution of the method is analysed. The method provides two ways of obtaining information about small targets. The first allows the building of their two-dimensional images, the other is for determining their overall dimensions, rotational speeds, parameters of surface roughness.

关键词： image forming resolution closely spaced small targets processing extended object processing

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