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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets 2010"

共 976 条记录，以下是881-890 订阅

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Detection of signals with random initial phase by employment of generalized algorithm

Detection of signals with random initial phase by employment...

引用

conference on signal and data processing of small targets 1997

作者： Tuzlukov, VP Institute of Engineering Cybernetics Belarusian Academy of Sciences Minsk 220012 Surganova 6 Belarus

ISBN: (纸本)0819425850

Questions of detector synthesis based on the generalized signal processing algorithm for signals with random initial phase are considered. Variance and variance estimation of total noise component at the generalized detector output under the finite time interval [0, T] are determined. Comparative analysis of detection characteristics of the optimal and generalized detectors is carried out. Investigation avenues to stabilization of detection characteristics under employment of the generalised detector independent of signal random parameters based on phase tracking system have been proposed.

关键词： generalized algorithm detector signal noise variance detection parameter probability

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Multiframe detection of direction of moving targets

Multiframe detection of direction of moving targets

引用

conference on signal and data processing of small targets 1997

作者： Lampropoulos, GA Boulter, JF A.U.G. Signals Ltd. (Canada) Defence Research Establishment Valcartier (Canada)

ISBN: (纸本)0819425850

In this paper we present a new technique for the estimation of the velocity of moving targets using sequential frames. This estimation process may be used to estimate a potential set of velocities of moving targets which in turn may be used by three-dimensional (3-D) directional matched filters. It may also be used as a target trajectory estimation technique. The method is based on a local probability density matching segmentation technique with spatiotemporal associations. Experimental results are presented.

关键词： moving target indicator spatiotemporal trajectory estimation spatiotemporal velocity estimation

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Cramer-Rao bound on image registration accuracy

Cramer-Rao bound on image registration accuracy

引用

conference on signal and data processing of small targets 1997

作者： Auerbach, SP Hauser, LE Science Applications International Corp. (United States)

ISBN: (纸本)0819425850

Precision registration (alignment) of images is utilized in dim target detection, temporal change detection, and other surveillance applications. The Cramer-Rao bound on the accuracy of parameter estimation governs the fundamental limit on the accuracy of image registration. This presentation derives the Cramer-Rao bound on registration accuracy, with emphasis on how registration accuracy depends on sensor noise, scene geometry, image characteristics and the number of pixels used in the registration process, and compares the Cramer-Rao bound prediction to registration results from the SAIC IR processing code, STAS, for both synthetically generated scenes and real IR data.

关键词： image processing Cramer-Rao bound registration signal processing

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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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Classical and neural solutions for plot-to-track association

Classical and neural solutions for plot-to-track association

引用

conference on signal and data processing of small targets 1997

作者： Winter, M Schmidlin, V Favier, G Univ. of Nice-Sophia Antipolis (France) Univ. of Nice-Sophia Antipolis and Systelia Technologies (France)

ISBN: (纸本)0819425850

This paper presents and compares two alternative classes of solutions to the plot-to-track association problem. The first class of solutions relies on classical approaches of signal processing, principally based on the Bayes theory, that is to say the Nearest-Neighbor Filter, the Probabilistic data Association Filter and the Joint Probabilistic data Association Filter. The data association problem can be reduced to a combinatorial optimization problem, for which the time needed to obtain the exact solution grows drastically with the problem size. This is the reason why, in most cases, we do not look for the best solution, but rather for a good solution, reachable in a reasonable computation time. Consequently, neural networks are an interesting alternative to classical solutions. We first review several neural models: Hopfield networks, Boltzmann machine, mean field approximation networks and our approach derived from the Hopfield model. Then we present some simulation results that enable to compare the various techniques for a general assignment problem and for the multitarget tracking problem.

关键词： Electronic filtering Filtering (signal processing) Neural networks signal processing

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Multi-sensor data fusion method to discern point targets

Multi-sensor data fusion method to discern point targets

引用

conference on signal and data processing of small targets 1997

作者： Li, H An, W Xu, H Sun, ZK National Univ. of Defense Technology (China)

ISBN: (纸本)0819425850

Two different vehicles which have the same shapes and sizes fly together in upper space at the same velocity. The vehicles are so far away from the sensors that the acquired images are point targets. No shape information can be gotten. These two vehicles fly together and no motion characteristics may be used. Therefore the infrared (IR) radiation characteristics of them are important for discerning these two vehicles. In this paper, three ground-based IR sensors are used to get the TR radiation spectrum of the point targets, and twelve IR characteristics are selected for recognizing them. First, a BP network is used to recognize the point targets at each base. Then a Subjective Bayesian Method is adopted to fuse the recognized results given by BP networks on three bases at the same time. And the result given by Bayesian is fused by D-S Evidence Theory with the result at next time till the belief function is more than threshold. The emulation shows that the last outputs is satisfactory.

关键词： multi-sensor data fusion neural networks subjective Bayesian method evidence theory point targets recognition

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Random sets in data fusion problems

Random sets in data fusion problems

引用

conference on signal and data processing of small targets 1997

作者： Mori, S Raytheon TI Systems (United States)

ISBN: (纸本)0819425850

A general theory of multi-object state-estimation problems, also known as multi-target tracking problems, is presented, using explicit random-set formalism. Probability density functions of random sets, as well as Choquet's capacity functionals, are used to represent random sets, in pursuit of the possibility of such a theory becoming a theoretical foundation of data fusion theory. The theoretical and algorithmic developments over the past three decades in this area are also re-examined in the light of this new formalism, as well as the recent development of correlation-free algorithms that utilize random-set formalism explicitly.

关键词： data fusion multiple-object state-estimation multi-target multi-sensor tracking random sets point processes Choquet's capacity functional assignment problems

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Target tracking with retrodicted discrete probabilities

Target tracking with retrodicted discrete probabilities

引用

conference on signal and data processing of small targets 1997

作者： Drummond, OE Independent Consulting Engineer (United States)

ISBN: (纸本)0819425850

The concept of retrodiction of discrete probabilities is exploited in this paper to provide alternative data association algorithms for tracking multiple targets with a single or multiple sensors. These algorithms employ multiple frames of data in the data association processing. The concept of retrodiction is also applied to the task of multiple model filtering. Alternative optimization criteria are also exploited to provide alternative association approaches and each approach is expected to exhibit different estimation error characteristics. These additonal association approaches provide wider selction to better tailor the tracking algorithms to a specific application. These approaches offer improved performance over single-frame association tracking approaches. This improved performance is obtained, however, at the expense of increased processing load. A number of different approaches are described that employ multiple-frame data association. Similarly, a number of different approaches are also described that employ a moving window of multiple measurements for multiple model filtering. With these algorithms, design parameters can be selected to adjust performance to suit a specific application.

关键词： target tracking retrodiction multiple sensor tracking multiple target tracking most probable hypothesis data association sensor fusion composite decisions multiple hypotheses multiple model filtering Bayesian methods Kalman filter composite estimation

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data association probability and measurement density function of tracking in clutter with strongest neighbor measurements

Data association probability and measurement density functio...

引用

conference on signal and data processing of small targets 1997

作者： Li, XR Univ. of New Orleans (United States)

ISBN: (纸本)0819425850

When tracking a target in clutter, a measurement may have originated from either the target, clutter, or some other source. The measurement with the strongest intensity (amplitude) in the neighborhood of the predicted target measurement is known as the ''strongest neighbor'' (SN) measurement. A simple and commonly used method for tracking in clutter is the so-called Strongest Neighbor Filter (SNF), which uses the SN measurement at each time as if it were the true one. This paper presents analytic results, along with discussions, for the SN measurement, including the a priori and a posteriori probabilities of data association events and the conditional probability density functions. These results provide theoretical foundation for performance prediction and development of improved tracking filters.

关键词： target tracking strongest neighbor filter theoretical analysis

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Track-Before-Detect implementation and tests results

Track-Before-Detect implementation and tests results

引用

conference on signal and data processing of small targets 1997

作者： Alon, Y Johnson, DD Mallean, GH Erickson, FW Litton Data Systems Agoura Hills CA United States

ISBN: (纸本)0819425850

A Track-Before-Detect processor has been developed by Litton data Systems Division (DSD), Agoura Hills, CA and implemented in hardware. Its objective was to enhance radar and IR dim target detection in adverse conditions. The unit has been integrated with an operational Radar system and tested in real time scenarios. This paper describes the processor target detection performance in sea clutter, weather and noise. In specific it addresses the issue of maritime radar detection performance as were observed during sea trials data collection tests. Performance in sea clutter for Infra Red (IR) sensor is also provided.

关键词： Track Before Detect Dim Target Detection Sea clutter Decorrelation Weather Clutter Rejection

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