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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets 1999"

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Feasibility study on sensor data fusion for the CP-140 aircraft - Fusion architecture analyses

Feasibility study on sensor data fusion for the CP-140 aircr...

引用

signal and data processing of small targets 1995 conference

作者： SHAHBAZIAN, E LORAL CANADA INC MONTREALPQ H4P 1K6CANADA

ISBN: (纸本)0819419206

Loral Canada completed (May 1995) a Department of National Defense (DND) Chief of Research and Development (CRAD) contract, to study the feasibility of implementing a multi- sensor data fusion (MSDF) system onboard the CP-140 Aurora aircraft. This system is expected to fuse data from: (a) attributed measurement oriented sensors (ESM, IFF, etc.); (b) imaging sensors (FLIR, SAR, etc.); (c) tracking sensors (radar, acoustics, etc.); (d) data from remote platforms (data links); and (e) non-sensor data (intelligence reports, environmental data, visual sightings, encyclopedic data, etc.). Based on purely theoretical considerations a central-level fusion architecture will lead to a higher performance fusion system. However, there are a number of systems and fusion architecture issues involving fusion of such dissimilar data: (1) the currently existing sensors are not designed to provide the type of data required by a fusion system; (2) the different types (attribute, imaging, tracking, etc.) of data may require different degree of processing, before they can be used within a fusion system efficiently; (3) the data quality from different sensors, and more importantly from remote platforms via the data links must be taken into account before fusing; and (4) the non-sensor data may impose specific requirements on the fusion architecture (e.g. variable weight/priority for the data from different sensors). This paper presents the analyses performed for the selection of the fusion architecture for the enhanced sensor suite planned for the CP-140 aircraft in the context of the mission requirements and environmental conditions.

关键词： FUSION ARCHITECTURE HYBRID SYSTEM DISSIMILAR SENSOR FUSION

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On Bayesian MHT for well-separated targets in densely cluttered environment

On Bayesian MHT for well-separated targets in densely clutte...

引用

IEEE International conference on Radar

作者： W. Koch Forschungsinstitut für Funk und Mathematik Wachtberg-Werthhoven Germany

Certain radar applications must cope with rather extreme operational conditions (densely cluttered environment/relatively small detection probabilities). Tracking in such situations calls for refined data association and processing techniques. By simulation results we demonstrate the applicability of Bayesian multiple hypothesis tracking (MRT) to well-separated targets detected with a mechanically rotating radar. Special emphasis is placed on air situations characterized by massively occurring data association conflicts.

关键词： Bayesian methods Radar tracking Radar detection Target tracking Clutter Surveillance signal processing algorithms Radar cross section Radar applications signal processing

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SUPER NONCOHERENT INTEGRATION - ANALYSIS OF PERFORMANCE

SUPER NONCOHERENT INTEGRATION - ANALYSIS OF PERFORMANCE

引用

conference on signal and data processing of small targets 1994

作者： DAUM, F RAYTHEON CO WAYLANDMA 01778

ISBN: (纸本)0819415391

This paper analyzes a new method to detect targets. The new method, called `super noncoherent integration' (SNCI), can improve overall detection performance by typically 5 dB to 10 dB relative to conventional noncoherent integration. A simple back-of-the-envelope formula is derived which quantifies the performance improvement of SNCI. Conventional noncoherent integration (CNCI) uses only amplitude measurements to distinguish targets from noise or clutter. In contrast, SNCI uses amplitude data in addition to: monopulse data, quadrature monopulse data, range and Doppler data over a sequence of N transmitted radar waveforms.

关键词： signal to noise ratio Doppler effect Radar Target detection Sensors Filtering (signal processing) Detection and tracking algorithms Error analysis Infrared sensors signal detection

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TOWARD THE INTEGRATION OF TRACKING AND signal-processing FOR PHASED-ARRAY RADAR

TOWARD THE INTEGRATION OF TRACKING AND SIGNAL-PROCESSING FOR...

引用

conference on signal and data processing of small targets 1994

作者： BLAIR, WD USN CTR SURFACE WARFAREDAHLGREN DIVDEPT RES & TECHNOLDAHLGRENVA 22448

ISBN: (纸本)0819415391

Classically, sensor signal processing and data processing (i.e., tracking) have been performed separately with very little interaction between the two functions. Furthermore, the signal processing and tracking algorithms are often designed separately. This paper discusses some concepts for integrating the signal processing and tracking functions for a phase array radar. Since phased array radars provide a rapid beam steering capability, proper control of the radar beam has the potential for significantly improving the tracking of multiple maneuvering targets. However, when the signal processing is accomplished separately from the tracking, optimizing the detection thresholds for targets with fluctuating radar cross sections, resolving multiple targets, and reducing the errors due to multipath and glint must be accomplished over a single radar dwell period. Integrating the signal processing with the tracking will allow many of these issues to be addressed over multiple radar dwells. The issues associated with integrating the signal processing and tracking functions are discussed with respect to tracking and data association, revisit time and waveform energy calculations, and waveform selection. The waveform selection is discussed relative to four specific examples that include a fluctuating radar cross section from an extended target, two closely spaced targets, a splitting target, and a target in the presence of radar multipath.

关键词： Radar signal processing Target detection Detection and tracking algorithms Filtering (signal processing) signal to noise ratio Phased arrays Radar signal processing Electronic filtering signal detection

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MULTIRESOLUTIONAL TARGET TRACKING

MULTIRESOLUTIONAL TARGET TRACKING

引用

conference on signal and data processing of small targets 1994

作者： HONG, L WRIGHT STATE UNIV DEPT ELECT ENGNDAYTONOH 45435

ISBN: (纸本)0819415391

A framework of multiresolutional target tracking is established in this paper. The wavelet transform is employed in constructing multiresolutional data and model structures. Multiresolutional tracking is performed over the multiresolutional data and model structures in a top-down fashion. The main advantages of multiresolutional target tracking include: computational efficiency, performance robustness and algorithm flexibility.

关键词： Detection and tracking algorithms data modeling Wavelet transforms data processing Optical filters data acquisition Distance measurement Electronic filtering Discrete wavelet transforms signal processing

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DIM POINT TARGET DETECTING FROM IMAGE SEQUENCES

DIM POINT TARGET DETECTING FROM IMAGE SEQUENCES

引用

conference on signal and data processing of small targets 1994

作者： LI, ZY SHEN, ZK NATL UNIV DEF TECHNOL DEPT EECHANGSHAPEOPLES R CHINA

ISBN: (纸本)0819415391

The technique of detecting and tracking of a moving point target is space-based background with low SNR is analyzed in this paper. An efficient method for detecting low speed targets is presented. The method simply uses multi-frame accumulating as the main operation in improving the output SNR. And it introduces candidate target records for target matching and recognition. The method is easy for hardware implementation that meets the demands of real time processing and low power consumption.

关键词： Target detection Target recognition signal to noise ratio Image processing Image storage Sensors Binary data Dysprosium Image sensors Computer programming

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MAXIMIZATION OF RADAR SCAN FRAME TIME FOR TRACKING A MANEUVERING TARGET

MAXIMIZATION OF RADAR SCAN FRAME TIME FOR TRACKING A MANEUVE...

引用

conference on signal and data processing of small targets 1994

作者： MALAKIAN, K MARTIN MARIETTA GOVT ELECTR SYST MOORESTOWNNJ 08057

Analytic expressions are derived based on tracker characteristics that determine the maximum scan frame time required to track a maneuvering target. The tracker characteristics chosen are: filter gain, measurement cor... 详细信息

ISBN: (纸本)0819415391

关键词： Radar Filtering (signal processing) Fourier transforms Electronic filtering Image filtering

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COMPARISON OF POINT-SOURCE ALGORITHMS FOR OPTIMUM ACQUISITION RANGE OF ELECTROOPTICAL SENSOR

COMPARISON OF POINT-SOURCE ALGORITHMS FOR OPTIMUM ACQUISITIO...

引用

conference on signal and data processing of small targets 1994

作者： JHA, US ROCKWELL INT CORP DIV AUTONET ELECTR SYSTANAHEIMCA 92803

ISBN: (纸本)0819415391

This paper examines a special class of signal processing technique called Minimum Variance Deconvolution (MVD) method and compares it with the commonly used Matched filtering and Wiener filtering based deconvolution processing in point source acquisition signal processing applications for Electro-Optical sensors. A step by step development of the batch and recursive MVD algorithm including comparison with the competing methods are presented in this paper.

关键词： Filtering (signal processing) Electronic filtering signal to noise ratio signal processing Deconvolution Digital filtering Electro optical sensors Algorithm development Electro optical modeling Error analysis

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TRACKING WITH FUSED NONCOINCIDENT MEASUREMENTS

TRACKING WITH FUSED NONCOINCIDENT MEASUREMENTS

引用

conference on signal and data processing of small targets 1994

作者： RAGO, C WILLETT, P BARSHALOM, Y UNIV CONNECTICUT STORRSCT 06269

ISBN: (纸本)0819415391

If members of a suite of sensors from which fusion is to be carried out are not co-located, it is unreasonable to assume that they share a common resolution cell grid; this is generally ignored in the data fusion community. In this paper we explore the effects of such `noncoincidence', and we find that what at first seems to be a problem can in fact be exploited. The idea is that a target is known to be confined to an intersection of overlapping resolution cells, and this overlap is generally small.

关键词： Sensors Radar Error analysis Stochastic processes data fusion Filtering (signal processing) Monte Carlo methods Target detection Optical resolution Sensor fusion

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JUMP LINEAR-MODEL BASED AIRCRAFT TRAJECTORY RECONSTRUCTION

JUMP LINEAR-MODEL BASED AIRCRAFT TRAJECTORY RECONSTRUCTION

引用

conference on signal and data processing of small targets 1994

作者： NEVEN, WHL BLOM, HAP DEKRAKER, PC NATL AEROSP LAB NLR1006 BM AMSTERDAMNETHERLANDS

ISBN: (纸本)0819415391

Within an Air Traffic Control (ATC) context many applications exist for off-line trajectory reconstruction such as evaluation of tracking or navigation systems and accident/incident investigations. Since the introduction of Jump-Linear models and associated filtering techniques enabled significant improvements in tracking small targets with useful applications to ATC one may expect that parallel developments in smoothing for Jump Linear systems enable similarly useful applications to aircraft trajectory reconstruction. The aim of this paper is to evaluate the validity of this expectation.

关键词： Micro optical fluidics Radar data modeling Filtering (signal processing) Systems modeling Electronic filtering Reconstruction algorithms Classification systems Control systems Time metrology

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