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检索条件"任意字段=Signal and Data Processing of Small Targets 2004"

共 1833 条记录，以下是131-140 订阅

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PROVIDING A HIGH FIDELITY EVALUATION CAPABILITY FOR SURVEILLANCE ALGORITHMS A ROLE OF THE STRATEGIC DEFENSE INITIATIVE ORGANIZATIONS SURVEILLANCE TEST BED

PROVIDING A HIGH FIDELITY EVALUATION CAPABILITY FOR SURVEILL...

引用

4TH CONF ON THE signal AND data processing OF small targets 1992

作者： VANDERGRIFF, LJ WESLEY, M GE Aerospace (United States) Nichols Research Corp. (United States)

ISBN: (纸本)0819408638

The surveillance test bed (STB) is utilized by the Strategic Defense Initiative Organization in its system integration and testing. The test bed provides a `level field' or standardized test environment for multiple surveillance signal and data processing algorithm developers. STB's most salient features are the integration of high fidelity signatures, backgrounds, and signal processing models with algorithms for sensor tasking, bulk filtering, track/correlation, and discrimination with the integration of radar and optical estimates for track and discrimination. The STB currently hosts baseline tasking, bulk filtering, correlation/tracking, and discrimination algorithms which are prototypes for the algorithms which will be hosted in the operational system. This paper reviews the current status and capabilities of the STB with respect to optical signal and data processing needs for small targets in backgrounds typically found in Strategic Defense scenarios.

关键词： signal processing Sensors Detection and tracking algorithms data processing Algorithm development Surveillance data modeling Optical tracking Defense and security Atmospheric optics

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CLUTTER REJECTION USING MULTISPECTRAL processing

CLUTTER REJECTION USING MULTISPECTRAL PROCESSING

引用

CONF ON signal AND data processing OF small targets 1990

作者： STOTTS, LB WINTER, EM HOFF, LE REED, IS Defense Advanced Research Projects Agency (United States)

ISBN: (纸本)0819403563

The DARPA MUSIC program is presently collecting data to support multi-spectral infrared target detection in clutter. The plan of the MUSIC program is discussed first, followed by the theoretical basis of multi-spectral and recursive moving target indicator (RMTI) processing. An example using data from the MUSIC sensor is presented. In this example spectral-spatial processing of two bands is compared to registration and temporal processing of a single band.

关键词： Detection and tracking algorithms Sensors Target detection signal processing data processing Infrared radiation Radar Image registration Long wavelength infrared signal to noise ratio

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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...

引用

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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Radar detection of multiple moving targets in clutter using time-frequency-radon transform

Radar detection of multiple moving targets in clutter using ...

引用

14th Conference on signal and data processing of small targets

作者： Chen, VC USN Res Lab Div Radar Washington DC 20375 USA

ISBN: (纸本)0819444782

In this paper, we analyze features of radar returns from moving targets, introduce the basic concept of time-frequency-Radon transforms, describe the Radon transform for line feature detection, discuss their applications to detection of multiple moving targets in clutter, and demonstrate two examples of moving target detection using simulated radar data.

关键词： time-frequency transform Radon transform moving targets multiple targets

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MULTISENSOR PREDETECTION FUSION

MULTISENSOR PREDETECTION FUSION

引用

4TH CONF ON THE signal AND data processing OF small targets 1992

作者： VIDMAR, A MALAKIAN, K GE Aerospace (United States)

ISBN: (纸本)0819408638

We consider the payoff for opportunistic fusion of essentially autonomous sensors operating with unequal orders of non-coherent integration. We also evaluate the degradation in fusion performance due to intersensor cross-correlation introduced via a Swerling 2 target model. We parameterize where fusion is not productive and show the integration necessary for comparable single sensor performance.

关键词： Sensors signal to noise ratio Sensor fusion Target detection signal detection data processing Performance modeling signal processing Interference (communication) Sensor performance

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A randomized heuristic approach for multidimensional association in target tracking

A randomized heuristic approach for multidimensional associa...

引用

16th Conference on signal and data processing of small targets

作者： Sinha, A Kirubarajan, T McMaster Univ Dept Elect & Comp Engn ETFLab Hamilton ON L8S 4K1 Canada

ISBN: (纸本)081945351X

The combinatorial optimization problem of multidimensional assignment has been treated with renewed interest because of its extensive application in target tracking, cooperative control, robotics and image processing. In this work we particularly concentrate on data association in multisensor-multitarget tracking algorithms, in which solving the multidimensional assignment is an essential step. Current algorithms generate good suboptimal solutions (with quantifiable accuracy) to these problems in pseudo polynomial time. However, in dense scenarios these methods can become inefficient because of the resulting dense candidate association tree. Also, in order to generate the top m (or ranked) solutions these algorithms need to solve a number of optimization problems, which increases the computational complexity significantly. In this paper we develop a Randomized Heuristic Approach (RHA), in which, in each step, instead of choosing the best solution indicated by the heuristic, one of the solutions is chosen randomly depending on the "probability" associated with it. The resulting algorithm produces solutions that are as good as or better than those produced by Lagrange relaxation-based algorithms that have much higher computational complexity. This method also produces other ranked best solutions with no further computational requirement.

关键词： multisensor-multitarget tracking data association randomized heuristic approach assignment algorithms

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A convex minimization approach to data association with prior constraints

A convex minimization approach to data association with prio...

引用

16th Conference on signal and data processing of small targets

作者： Chen, HM Kirubarajan, T Univ New Orleans Dept Elect Engn New Orleans LA 70148 USA

ISBN: (纸本)081945351X

In this paper we propose a new formulation for reliably solving the measurement-to-track association problem with a priori constraints. Those constraints are incorporated into the scalar objective function in a general formula. This is a key step in most target tracking problems when one has to handle the measurement origin uncertainty. Our methodology is able to formulate the measurement-to-track correspondence problem with most of the commonly used assumptions and considers target feature measurements and possibly unresolved measurements as well. The resulting constrained optimization problem deals with the whole combinatorial space of possible feature selections and measurement-to-track correspondences. To find the global optimal solution, we build a convex objective function and relax the integer constraint. The special structure of this extended problem assures its equivalence to the original one, but it can be solved optimally by efficient algorithms to avoid the combinatorial search. This approach works for any cost function with continuous second derivatives. We use a track formation example and a multisensor tracking scenario to illustrate the effectiveness of the convex programming approach.

关键词： data association multitarget tracking convex programming

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NEW METHOD OF DETECTING MOVING DIM POINT targets IN IMAGE SEQUENCES

NEW METHOD OF DETECTING MOVING DIM POINT TARGETS IN IMAGE SE...

引用

5TH CONF ON signal AND data processing OF small targets

作者： LIU, B SHEN, ZK LI, ZY SUN, ZK Changsha Institute of Technology (China)

ISBN: (纸本)0819411906

In this paper, we present a new method for detecting moving dim point targets in image sequences. The algorithm calculates autocorrelation function of projected images including segments of moving target track. The correlation can enhance target intensity and reduce noises. Then, we use Hough transform to determine straight line tracks of targets and to remove false alarm points. The signal-to-noise ratio of images in our experiences is less than 3. Simulation results show that our method can detect the moving targets effectively and is feasible.

关键词： Target detection Image segmentation signal to noise ratio Detection and tracking algorithms Hough transforms Image processing Image processing algorithms and systems Image transmission Infrared imaging Infrared radiation

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MULTIPLE-TARGET TRACKING WITH MULTIPLE FRAME, PROBABILISTIC data ASSOCIATION

MULTIPLE-TARGET TRACKING WITH MULTIPLE FRAME, PROBABILISTIC ...

引用

5TH CONF ON signal AND data processing OF small targets

作者： DRUMMOND, OE Hughes Missile Systems Co. (United States)

ISBN: (纸本)0819411906

Probabilistic data association approaches are described for tracking multiple targets. These approaches employ multiple frames of data in the data association processing. These approaches offer improved performance over Joint Probabilistic data Association tracking. This improved performance is obtained, however, at the expense of increased processing load. In the algorithms are design parameters that can be selected to adjust to suit a specific application. The concept of retrodicted hypothesis probability is introduced. Retrodicted hypothesis probabilities are used in an effort to better approximate optimal tracking. Some of these algorithms are retrospective in that, as each new frame of sensor data becomes available, earlier tracks are modified and these changes impact subsequent tracks.

关键词： Composites Detection and tracking algorithms Target recognition Sensors Logic Matrices data processing Algorithm development Filtering (signal processing) Error analysis

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AMBIGUITIES IN EVALUATING PERFORMANCE OF MULTIPLE TARGET TRACKING ALGORITHMS

AMBIGUITIES IN EVALUATING PERFORMANCE OF MULTIPLE TARGET TRA...

引用

4TH CONF ON THE signal AND data processing OF small targets 1992

作者： DRUMMOND, OE FRIDLING, BE General Dynamics Corp. (United States) Institute for Defense Analyses (United States)

ISBN: (纸本)0819408638

Evaluating performance of tracking algorithms is straightforward for a simulation with a single target and one computed track. Performance evaluation with multiple targets, on the other hand, is complex due to ambiguities that create confusion about which target goes with a track. The ambiguities are caused by misassociations or unresolved closely spaced objects. Various considerations in choosing a methodology for performance evaluation to handle these ambiguities are discussed. An approach to assigning tracks to targets is described that takes these considerations into account.

关键词： Detection and tracking algorithms signal processing Sensors Computer simulations Monte Carlo methods data processing Distance measurement Error analysis Electromagnetic simulation Environmental sensing

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