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检索条件"任意字段=Signal and Data Processing of Small Targets 1995 Conference"

共 783 条记录，以下是41-50 订阅

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Comparison of registration error correction techniques for air surveillance radar network

Comparison of registration error correction techniques for a...

引用

signal and data processing of small targets 1995 conference

作者： LEUNG, H BLANCHETTE, M GAULT, K DEF RES ESTAB OTTAWA SURFACE RADAR SECTOTTAWAONCANADA

ISBN: (纸本)0819419206

This paper considers the effectiveness of different registration algorithms in an air surveillance radar tracking environment. The evaluation is based on real data collected from an operating radar network in Canada. The existing real time quality control (RTQC) routine in the network requires targets to be on both sides of the line between the radars; this type of distribution is usually not available in the area with low air traffic density. The least squares (LS) algorithm which solves for the least squares biases is an alternative to handle this problem. Two algorithms that are considered as being more rigorous in the literature are the maximum likelihood (ML) and generalized least squares (GLS). The ML algorithm is a solution of the registration problem that uses a calculated covariance matrix of the measurement noise. The GLS algorithm is a variation of the ML algorithm where only the variances of the measurement noise are used. Based on the real data analysis, the track separation after registration are identical for the LS and ML algorithm, with the GLS being close most of the time. The result of the RTQC algorithm is close when the radar returns are split evenly between the two sides of the line between the radars. If the data in unevenly distributed, then the RTQC algorithm provides less accurate estimates. Comparing their computational complexities, the RTQC and LS algorithm are very efficient while the ML and GLS algorithm are about hundred times slower in terms of computational speed.

关键词： Radar Image registration Surveillance Detection and tracking algorithms Sensors Control systems data analysis Distance measurement Computing systems Environmental monitoring

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Needle Picking: A Sampling Based Track-Before-Detection Method for small targets

Needle Picking: A Sampling Based Track-Before-Detection Meth...

引用

conference on signal and data processing of small targets 2010

作者： Porikli, Fatih Mitsubishi Elect Res Labs Cambridge MA USA

ISBN: (纸本)9780819481627

We present a computationally efficient track-before-detect algorithm that achieves more than 50% true detection at 10-6 false alarm rate for pixel sized unknown number of multiple targets when the signal-to-noise ratio is less than 7dB. Without making any assumptions on the distribution functions, we select a small number of cells, so called as needles, and generate motion hypotheses using the target state transition model. We accumulate cell likelihoods along each hypothesis in the temporal window and append the accumulated values to the corresponding queues of the cell positions in the most recent image. We assign a target in case the queue maximum is greater than a threshold that produces the specified false alarm rate.

关键词： Automatic target detection track-before-detect radar ATR TBD

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small TARGET OF SEA SURFACE DETECTION ALGORITHM RESEARCH BASED ON FEATURE CLASSIFICATION 12

SMALL TARGET OF SEA SURFACE DETECTION ALGORITHM RESEARCH BAS...

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12th IEEE International conference on signal processing (ICSP)

作者： Yu, Lianqing Li, Yun Wang, Ning Jiang, Jin Nanjing Res Inst Elect Technol Nanjing 210039 Jiangsu Peoples R China

ISBN: (纸本)9781479921867

This paper focuses on small target of sea surface detection in sea clutter. Firstly, it analyses the statistic of sea clutter. Secondly, three feature vectors (namely, RAA, RPH and RVE) are extracted, which is utilized to discriminate the sea clutter and targets, and then the time-Doppler curve is used to distinguish the multi-targets in order to finish the small target of sea surface detection. Finally, it analyses the trial data of some radar and shows that this algorithm can effectively distinguish the sea clutter and small target of sea surface. This paper provides a new approach for the ship-borne surveillance radar or marine radar to detect the small target of sea surface and antisubmarine warfare patrol.

关键词： Sea Cluttert Target Detection Feature Detection Feature Classification Time-Doppler Curve

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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...

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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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Simulation of signal and data processing for a pair of GEO IR sensors

Simulation of signal and data processing for a pair of GEO I...

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19th conference on signal and data processing of small targets

作者： Keil, Karl-Heinz Hupfer, Werner EADS Astrium GmbH Bremen Germany

ISBN: (纸本)9780819468475

This paper describes experiences and results from developing a basic signal and data processing simulation for a pair of GEO IR sensors observing the boost phase of Theater Ballistic Missiles (TBM). The goal of such a system is the detection of launched TBM, also against a cloud background, and the tracking from cloud break ideally up to boost-end. Two GEO satellites are used for stereo view of one and the same non-global limited Field-of-Regard (FOR). They are positioned in such a way that both cover the FOR and provide a sufficient triangulation baseline. signal processing is applied for each of both passive IR sensors in order to detect and track the TBM on the focal plane. The applied approach can be summarized under the term 'velocity filtering'. data processing operates on the 2-D signal processing input from both IR sensors, i.e. azimuth and elevation line-of-sight (LOS) angles as well as their rates. The goal is to provide 3-D tracks of the targets, which can be used to cue early warning or fire control radars. The underlying simulation model constitutes a prototype and vehicle for further research. Nevertheless, even in its current stage it provides a first tool for the analysis and evaluation of corresponding sensor design concepts.

关键词： signal processing data processing Satellites Filtering (signal processing) Digital filtering Sensors Clouds Infrared sensors Target detection Optical filters

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Tracking with asynchronous multiple sensors

Tracking with asynchronous multiple sensors

引用

13th conference on signal and data processing of small targets

作者： Gray, JE McCabe, DH USN Ctr Surface Warfare Dahlgren Div Syst Res & Technol Dept Dahlgren VA 22448 USA

ISBN: (纸本)0819441872

Sensor data fusion has long been recognized as a means to improve target tracking. Common practice assumes that the sensors used are synchronous (i.e., perform the, same operation at the identical time), take measurements at the same time and have no communication delays between sensor platforms and the central processing center. Such assumptions are not valid in practice. This paper removes these assumptions when dealing with multisensor target tracking. In particular, it assumes that the sensors used can have different data rates and communication delays between local and central platforms. A new tracking algorithm using asynchronous sensors is proposed and derived in this paper.

关键词： Filtering (signal processing) Lithium Sensors Silicon Zinc Electronic filtering Lutetium data communications data processing signal processing

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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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Fast mutual exclusion

Fast mutual exclusion

引用

16th conference on signal and data processing of small targets

作者： Maskell, S Briers, M Wright, R QinetiQ Ltd Malvern Technol Ctr Malvern Worcs England

ISBN: (纸本)081945351X

A method is presented that circumvents the combinatorial explosion often assumed to exist when summing probabilities of joint association events in a multiple target tracking context. The approach involves no approximations in the summation and while the number of joint events grows exponentially with the number of targets, the computational complexity of the approach is substantially less than exponential. Multiple target tracking algorithms that use this summation include mutual exclusion(11,21) in a particle filtering context and the Joint Probabilistic data Association Filter,(7) a Kalman Filter based algorithm. The perceived computational expense associated with this combinatorial explosion has meant that such algorithms have been restricted to applications involving only a handful of targets. The approach presented here makes it possible to use such algorithms with a large number of targets.

关键词： Detection and tracking algorithms Filtering (signal processing) Electronic filtering Particle filters Particles

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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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Two-dimensional assignment with merged measurements using Lagrangian relaxation

Two-dimensional assignment with merged measurements using La...

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conference on signal and data processing of small targets

作者： Briers, M Maskell, S Philpott, M QinetiQ Ltd Malvern Technol Ctr Malvern Worcs England

ISBN: (纸本)0819450774

Closely spaced targets can result in merged measurements, which complicate data association. Such merged measurements violate any assumption that each measurement relates to a single target. As a result, it is not possible to use the auction algorithm in its simplest form (or other two-dimensional assignment algorithms) to solve the two-dimensional target-to-measurement assignment problem. We propose an approach that uses the auction algorithm together with Lagrangian relaxation to incorporate the additional constraints resulting-from the presence of merged measurements. We conclude with some simulated results displaying the concepts introduced, and discuss the application of this research within a particle filter context.

关键词： signal processing

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