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

共 764 条记录，以下是41-50 订阅

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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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DETECTION, PARAMETRIC IMAGING AND CLASSIFICATION OF VERY small MARINE targets EMERGED IN HEAVY SEA CLUTTER UTILIZING GPS-BASED FORWARD SCATTERING RADAR

DETECTION, PARAMETRIC IMAGING AND CLASSIFICATION OF VERY SMA...

引用

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

作者： Kabakchiev, C. Behar, V. Garvanov, I. Kabakchieva, D. Rohling, H. SU Sofia Bulgaria IICT BAS Sofia Bulgaria ULSIT Sofia Bulgaria UWNE Sofia Bulgaria TU HH Hamburg Germany

ISBN: (纸本)9781479928934

In this paper, we address a technique and related algorithms for precise detection, parametric imaging and classification of small marine targets in a harsh sensing environment attributed for heavy sea clutter via noncooperative processing of the GPS-based Forward Scatter Radar (FSR) data. In contrary to GPS L5 detection approach, the proposed technique utilizes civil GPS L1 signal formats in FSR exploiting GPS as a non-cooperative transmitter. In our previous studies it is shown that the use of the new power GPS signal L5, and the Forward Scattering effect providing a high SNR, at the detector input allows reliably to detect small air targets in conditions of the intense interference. In this paper we propose another approach, to enhance SNR, at the input of the detector in Forward Scattering Radar (FSR). The use of the effective filter (Local Variance Filter) for suppression of intensive sea clutter allows FSR reliably to detect small marine targets emerged in harsh sea clutter, but with GPS L1 signal, whose SNR is very small. At the classification level, the data mining approach is adopted, in which the target feature parameters are extracted from the preliminary filtered signals by utilizing the modified structure of a processor for target detection and parameter estimation in the time domain. Both, the decision tree-based and the neural network classifiers are featured and adapted for real-time implementation. The efficiency of the proposed technique is verified via analytical performance evaluations and experimental demonstrations.

关键词： FSR GPS detection classification harsh sensing environment

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An image segmentation approach for improving target detection in a 3-D signal processor

An image segmentation approach for improving target detectio...

引用

conference on signal and data processing of small targets

作者： Chan, CL Attili, JB Melendez, KA PAR Govt Syst Corp La Jolla CA 92037 USA

ISBN: (纸本)0819428221

The detection of small, weak targets collected from electro-optical radiation is a challenging problem, particularly in the presence of nonstationary backgrounds. In this paper, we propose a theoretical justification for the loss in performance of slowly moving targets in regions of benign clutter. In particular, a K-means segmentation technique is developed using a fixed number of classes and a variety of local scene features. This class map is used by a 3-D matched filter to estimate a covariance matrix for each region. The filter would then whiten each region using the appropriate class map. The algorithm is applied in this paper to actual sensor data which contains heterogeneous scenes taken from the Airborne Infrared Measurement Systems (AIRMS) sensor. Performance is assessed through the measure of SNRs and receiver operating characteristic (ROC) curves based on a suite of injected targets.

关键词： image segmentation weak target detection 3-D signal processing

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Detection of small target in IR image sequences using VSLMS

Detection of small target in IR image sequences using VSLMS

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16th conference on signal and data processing of small targets

作者： Ng, LN Ronda, V Lim, ET Nanyang Technol Univ Sch Elect & Elect Singapore Singapore

ISBN: (纸本)081945351X

A Vertical-Strip Least Mean Squared (VSLMS) algorithm is proposed to enhance the detection of small moving targets in IR image sequences. This algorithm is an improvement over the Two-Dimensional LMS (TDLMS), which is designed to detect small targets within highly correlated background of static images. This paper focuses on processing IR image sequences with different background features with layers of sky, sea and land clutter. The VSLMS uses multiple LMS modules and a different scanning method to process individual lines in the IR image sequences. Simulation results show successful enhancement of very small targets in an IR mage sequence.

关键词： VSLMS IR image sequences TDLMS

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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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Tracking of two closely spaced objects using monopulse measurements

Tracking of two closely spaced objects using monopulse measu...

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17th conference on signal and data processing of small targets

作者： Isaac, A Zhang, X Willett, P Bar-Shalom, Y Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA

ISBN: (纸本)0819459186

The ultimate goal of this paper is to track two closely spaced and unresolved targets using monopulse radar measurements, the quality of such tracking being a determinant of successful detection of target spawn. It explores statistical estimation techniques based on the maximum likelihood criterion and Gibbs sampling, and addresses concerns about the accuracy of the measurements delivered thereby. In particular, the Gibbs approach can deliver joint measurements (and the associated covariances) from both targets, and it is therefore natural to consider a joint filter. The ideas are compared, and amongst the various strategies discussed, a particle filter that operates directly on the monopulse measurements is especially promising.

关键词： Radar Filtering (signal processing) Detection and tracking algorithms Particle filters Target detection Particles signal processing Monte Carlo methods signal to noise ratio Statistical analysis

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New method for detection of dim point-targets in infrared images

New method for detection of dim point-targets in infrared im...

引用

conference on signal and data processing of small targets 1999

作者： New, WL Tan, MH Er, MH Ronda, V Nanyang Technol Univ Sch EEE Singapore 639798 Singapore

ISBN: (纸本)0819432954

There are several methods reported in the literature for detecting dim targets against slowly moving clutter. However, each method has its own advantages and disadvantages. The challenge lies in reducing the 'false alarm rate' to an acceptable level. 'False alarm rate' defined in case of a significant size of the target in a frame may not be applicable to point-targets. This paper presents a new method for the detection of dim point-targets in the presence of the evolving clouds and heavy background clutter. Choosing a threshold for achieving constant false alarm rate is always a tricky problem. Too less a threshold may ensure detection of target pixels. But this will result in too many false targets, which limit the performance of the post-processor to trace out target paths. Too high a threshold result in fewer false alarms but the targets may also be missing out. Based on off-line studies, it has been found that a 'desirable condition' is required to limit the number of accumulated pixels not to exceed 8% of the total image size for post-processing. This paper presents a method based on random and correlated noises which in turn selects an auto threshold that leads to the 'desirable condition' for the postprocessor. An effort has been made to derive an empirical formula based on random and correlated noises to obtain an auto threshold value that achieves the desirable condition. Then the incoming frames of data are then processed by a constant threshold and accumulated as total number of pixels. At the same time the track record of pixels along with frame numbers are recorded. The post-processor to filter out the false alarms uses this information. One advantage of this method is that there is no need to store all the frames to obtain the desired information. The algorithm has been tested with the available database and the results are very promising. It is assumed that most of the targets occupy a couple of pixels. Head-on moving and manoeuvring targets are not

关键词： point-target random noise correlated noise false alarm rate

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Temporal Characterization of small Arms Muzzle Flash in the Broadband Visible

Temporal Characterization of Small Arms Muzzle Flash in the ...

引用

conference on signal and data processing of small targets 2010

作者： Burke, Tom Bratlie, Duane Northrop Grumman Corp 2910 W Almondbury Dr Pasadena MD 21122 USA Northrop Grumman Corp Laurel MD 20707 USA

The authors have developed a simple system for characterizing the muzzle flash duration of common military small-arms ammunition as a feeder for system design configurations. This paper is a synopsis of the efforts an... 详细信息

ISBN: (纸本)9780819481627

关键词： small Arm Muzzle Flash Broadband Visible Characterization

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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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