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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761-770 订阅

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Volumetric signal processing hardware acceleration for mine detection

Volumetric signal processing hardware acceleration for mine ...

引用

conference on Detection and Remediation Technologies for Mines and Minelike targets VIII

作者： Desai, TJ Hintz, KJ George Mason Univ Dept Elect & Comp Engn Fairfax VA 22030 USA

ISBN: (纸本)0819449490

Digital signal processing algorithms for the detection of landmines using ground penetrating radar are computationally intensive if not due to algorithmic complexity, then due to the vast quantity of data which must be processed in real-time. As a result of this, surface area coverage rates using general purpose computers are limited without an additional investment in multiple central processing units and the parallelization of the executable. This results in an excess of unused resources with the associated cost both in terms of monetary cost and power consumption. The increase in power consumption alone also causes an increase cost in cooling and the requirement for larger prime power and/or reduced battery life. Field programmable gate array (FPGA) hardware devices are reconfigurable in seconds and they can be reprogrammed in the field using relatively standard equipment such as a laptop computer. A secondary advantage of re-configurable dedicated hardware is the flexibility it affords in terms of the specific signal processing algorithm being executed on the re-configurable computing device. As an example of this type of hardware optimization of an algorithm, this paper describes an implementation of volumetric (3D) template matching using re-configurable digital hardware, namely an FPGA. This is a viable alternative for the acceleration of digital signal processing and directly results in an increase in mine detection area coverage rates for a relatively small investment. This also results in a more compact, fieldable real-time implementations of landmine detection algorithms and a common mine detector whose hardware is standard but whose optimized algorithms are downloaded into the FPGA for the particular minefield to be cleared. In this paper we give a quantitative analysis of the increase in execution speed achieved by performing cross correlation of large template sizes on large data.

关键词： 3D template matching FPGA volumetric signal processing cross correlation ground penetrating radar

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Chirp pulse microwave computed tomography(CP-MCT) equipped with a fan beam scanner for high-speed imaging of a biological target

Chirp pulse microwave computed tomography(CP-MCT) equipped w...

引用

25th Annual International conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2003

作者： Miyakawa, M. Harada, E. Jing, W. Center for Transdisciplinary Research Niigata University Niigata Japan Graduate School of Natural Science and Technology Niigata University Niigata Japan

ISBN: (纸本)0780377893

Recently, microwave imaging aiming at early-stage-tumor detection has become of major interest because of its relatively high contrast resolution in the image. Chirp pulse microwave computed tomography (CP-MCT) obtains the attenuation and/or phase shift images of biological targets by use of a chirp pulse signal from 1 GHz to 2 GHz and signal processing techniques. The experimental- and computational-studies show that the estimated spatial resolution becomes 10 to 12 mm and very small temperature variation such as 0.3 degree to 0.5 degree is detectable. Usefulness of this imaging modality increases by developing a fan beam scanner that enables fast data acquisition. In fact, it takes only a few minutes for imaging, while the prototype system takes about 90 minutes. © 2003 IEEE.

关键词： data acquisition

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A reconfigurable 100 Mchip/s spread spectrum receiver

A reconfigurable 100 Mchip/s spread spectrum receiver

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： J. Arnold A. Caldow K. Harman Cooperative Research Centre for Satellite Systems Defence Science and Technology Organisation Edinburgh SA Australia

The flexibility of a reconfigurable receiver allows a system to be tailored to maximise the data rate over channels that vary from benign to those severely effected by multipath propagation. Accordingly a digital receiver based on field programmable gate arrays (FPGA) has been developed, with a burst-mode 100 Mchip per second (100 Mcps) direct sequence spread spectrum (DSSS) personality that targets a 10 Mbit/s data rate in extreme multipath scenarios. The design is based around a quadrature, two sample per chip baseband processing card that implements an asynchronous feedforward (interpolating) architecture. With this approach, system complexity resides solely in the receiver allowing the transmitter to be very small and cheap. This paper reviews the architecture and implementation of the receiver, and reports on some of the development and performance issues.

关键词： Spread spectrum communication Baseband Satellites Field programmable gate arrays Communication system control Digital signal processing Voltage-controlled oscillators Transmitters Computerized monitoring Remote monitoring

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Chirp pulse microwave computed tomography(CP-MCT) equipped with a fan beam scanner for high-speed imaging of a biological target

Chirp pulse microwave computed tomography(CP-MCT) equipped w...

引用

Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： M. Miyakawa E. Harada W. Jing Center for Transdisciplinary Research Niigata University Niigata Japan Graduate School ofNatural Science and Technology NiiRata University Niigata Japan

关键词： Chirp Biology computing Microwave imaging High-resolution imaging Spatial resolution Image resolution signal resolution Microwave theory and techniques Computed tomography Attenuation

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Detection of small IR objects using wavelets, matched subspace detectors, and registration

Detection of small IR objects using wavelets, matched subspa...

引用

14th conference on signal and data processing of small targets

作者： Hewer, G Kuo, W Kenney, C Hanson, G Bobinchak, J USN Air Warfare Ctr China Lake CA 93555 USA

ISBN: (纸本)0819444782

Infrared sensors and advanced signal processing are used to detect small (or "point") targets in highly cluttered and noisy environments. In this paper, a wavelet detection algorithm and tracking of small targets in clutter will be discussed. A new registration algorithm based on optical flow estimates with matched subspace detectors against small maneuverable targets is also discussed. Both detectors incorporate adaptive constant false alarm rate (CFAR) detection statistics. Simulation of the detection and tracking algorithms using an unclassified database with a helicopter target and platform for the video cameras is summarized.

关键词： wavelets matched subspace detector registration

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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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Target classification with data from multiple sensors

Target classification with data from multiple sensors

引用

14th conference on signal and data processing of small targets

作者： Drummond, OE CyberRnD Inc Culver City CA 90230 USA

ISBN: (纸本)0819444782

The methods used in the classification of multiple small targets can be very different from the methods commonly used in traditional pattern recognition. First, there may be characteristics of the features for. each target class that can permit simpler computations than other features. In addition, in classifying targets, the target tracks are updated as new data becomes available and hence there can be a sequence of feature measurements that are available for the target classification process. In addition, with multiple targets, the a priori information may be in a form that make the classification processing for one target dependent on the classification processing of other targets. These aspects of target classification that make that processing different from traditional pattern recognition are the concern of this paper. To limit the length of the paper, the scope is restricted to classification tasks that allow the linear-Gaussian assumption to be used. Also, the data used in the classification process is restricted to features, i.e., no attributes, and the assumption is the tracker does not employ feature-aided tracking. While these assumptions simplify the discussion, the methods used could be modified to permit classification of a broad scope of classification tasks.

关键词： multiple target tracking features target typing detection classification recognition identification and discrimination automatic target recognition (ATR) multiple models Bayesian methods and Kalman filter

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Real-world tracking system performance evaluation

Real-world tracking system performance evaluation

引用

14th conference on signal and data processing of small targets

作者： Blackman, SS Dempster, RJ Raytheon Elect Syst El Segundo CA 90245 USA

ISBN: (纸本)0819444782

Preliminary tracking system design and analysis is typically done using simulated data in which the target truth is known and many techniques have been developed for evaluating performance under these conditions. However, there is a notable lack of any consistent approach for evaluating tracker performance for "real" data in which there may be an unknown number of "targets of opportunity" whose trajectories are not known. In addition, the background clutter/false alarm environment may be unknown so that an important analysis task is to determine the most accurate background models. This paper proposes a set of criteria for evaluating the tracks that are formed using "real" data collected in the field in the presence of an unknown number of "targets of opportunity". These criteria include duration, update history, and measures of kinematic and data association consistency. A scoring method is developed and the use of these criteria for system design is discussed.

关键词： multiple target tracking performance evaluation real data

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Target selection using neural networks

Target selection using neural networks

引用

14th conference on signal and data processing of small targets

作者： Özener, MS Yardimci, Y Univ Enformat Enstitusu Orta Dogu Tekn TR-06351 Ankara Turkey

ISBN: (纸本)0819444782

Target selection is the task of assigning a value or priority to various targets in a scenario. This priority is usually determined by the threat the target poses on the defender in addition to its vulnerability to possible measures to be taken by the defender. In this study, we describe a target selection technique based on neural networks. The utility or value of each target is assumed to be an unknown function acting on certain features of the target such as size, intensity, speed and direction of movement. Neural networks used in the context of function estimation is a viable candidate for determining this unknown function for generating target priorities. Various. neural network configurations are examined and simulation results are presented.

关键词： Neural networks Target detection Neurons Ranging signal processing Image processing Infrared imaging Infrared radiation Sensors databases

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Alternative architectures for IMM tracking of maneuvering aircraft

Alternative architectures for IMM tracking of maneuvering ai...

引用

14th conference on signal and data processing of small targets

作者： Hutchins, RG Wilson, D Allred, LK Duren, R USN Postgrad Sch Monterey CA USA

ISBN: (纸本)0819444782

This paper presents the results of a study of tracking algorithms for maneuvering targets. The design focuses on alternative algorithms to track two-dimensional targets during maneuvers. The algorithms explored include a standard Kalman algorithm, an extended Kalman algorithm in which the target turn rate is an additional state variable, an interactive multiple model (IMM) algorithm consisting of two models with varying plant noise, a three-model IMM specifying three distinct target turn rates, and a constant gain alpha-beta filter. The IMM trackers tended to work the best in this study, with the three-model IMM performing the best overall.

关键词： target tracking maneuvering targets interactive multiple models

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