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51 篇 会议

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检索条件"任意字段=Conference on Radar Sensor Technology XIX and Active and Passive Signatures VI"

共 51 条记录，以下是21-30 订阅

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technology integration and synergies: radar, optics, and AIS 19

Technology integration and synergies: radar, optics, and AIS

引用

conference on radar sensor technology xix and active and passive signatures vi

作者： Abellard, J. N. Chen, Y. Chevere, D. Gonzalez Shahid, H. New York City Coll Technol Brooklyn NY 11201 USA Stevens Inst Technol Hoboken NJ 07030 USA Univ Puerto Rico Mayaguez Mayaguez PR 00680 USA

ISBN: (纸本)9781628415773

Various technologies were used to detect, track, and classify vessels on the Hudson River. Broadband radar was used to detect and track vessels. visible light cameras, infrared cameras, and image processing techniques were used to detect, track, and classify vessels. Automatic Identification System (AIS) was used to track and classify vessels. The technologies, collectively referred to as the Integrated technology System (ITS), were used in conjunction with each other to achieve synergies and to overcome individual system limitations. These limitations included a narrow field of view, false alarms, and misdetections. The suite of technologies successfully fulfilled its purpose. The radar was effective despite some errors. The cameras allowed for software development including automatic slewing and image processing. While AIS was considered the most reliable tool, it was determined not to be infallible. Future work includes integration of passive acoustics into the system and wake analysis for vessel detection.

关键词： Maritime security broadband radar radar electro-optics Automatic Identification System

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Bistatic and multistatic target identification for through-wall radar imaging 19

Bistatic and multistatic target identification for through-w...

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conference on radar sensor technology xix and active and passive signatures vi

作者： Allebach, Joshua M. Narayanan, Ram M. Hoe, Benjamin Broderick, Sean P. Penn State Univ Dept Elect Engn University Pk PA 16802 USA DSCI Inc Eatontown NJ 07724 USA US Army RDECOM CERDEC Aberdeen Proving Ground MD 21005 USA

ISBN: (纸本)9781628415773

Bistatic and multistatic antenna systems have become increasingly popular for through-wall radar imaging because of their ability to collect more target scattering information. This increased information allows for better identification of human targets in complex clutter environments. To directly compare the abilities of bistatic and multistatic systems over monostatic radar alone, both human and clutter target data were measured and used to create receiver operating characteristic curves. In addition, the use of cross-polarization radar to reduce clutter and multipath returns was investigated by taking human target data both through a wall and in an open environment. Comparisons of this data to co-polarization returns were used to determine its practicality.

关键词： Through-wall radar ultrawideband radar bistatic radar multistatic radar ROC curves cross-polarization

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FlexSAR, a High-Quality, Flexible, Cost-Effective, Prototype SAR System 19

FlexSAR, a High-Quality, Flexible, Cost-Effective, Prototype...

引用

conference on radar sensor technology xix and active and passive signatures vi

作者： Jensen, Mark Knight, Chad Haslem, Brent Space Dynam Lab North Logan UT 84341 USA

ISBN: (纸本)9781628415773

The FlexSAR radar system was designed to be a high quality, low-cost, flexible prototype instrument. Many radar researchers and practitioners desire the ability to efficiently prototype novel configurations. However, the cost and time required to modify existing radar systems is a challenging hurdle that can be prohibitive. The FlexSAR system couples an RF design that leverages connectorized components with digital commercial-offthe-shelf (COTS) cards. This design allows for a scalable system that supports software defined radio (SDR) capabilities. This paper focuses on the RF and digital system design, discussing the advantages and disadvantages. The FlexSAR system design objective was to support diverse configurations with minimal non-recurring engineering (NRE) costs. Multiple diverse applications are examined, demonstrating the flexible system nature. The configurations discussed utilize different system parameters (e.g., number of phase-centers, transmit configurations, etc.). The resultant products are examined, illustrating that high-quality data products are still attained.

关键词： SAR radar RF cognitive radar agile radar adaptive radar prototype

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Algorithmic Analysis of Quantum radar Cross Sections 19

Algorithmic Analysis of Quantum Radar Cross Sections

引用

conference on radar sensor technology xix and active and passive signatures vi

作者： Lanzagorta, Marco Venegas-Andraca, Salvador Naval Res Lab Washington DC 20375 USA Tecnol Monterrey Escuela Ciencias & Ingn Mexico City Estado De Mexic Mexico

ISBN: (纸本)9781628415773

Side lobe structures on classical radar cross section graphs are a consequence of discontinuities in the surface currents. In contrast, quantum radar theory states that sidelobe structures on quantum radar cross section graphs are due to quantum interference. Moreover, it is conjectured that quantum sidelobe structures may be used to detect targets oriented off the specular direction. Because of the high data bandwidth expected from quantum radar, it may be necessary to use sophisticated quantum signal analysis algorithms to determine the presence of stealth targets through the sidelobe structures. In this paper we introduce three potential quantum algorithmic techniques to compute classical and quantum radar cross sections. It is our purpose to develop a computer science-oriented tool for further physical analysis of quantum radar models as well as applications of quantum radar technology in various fields.

关键词： Quantum radar Quantum Sensing Quantum sensors Quantum Information Stealth Sensing D-Wave Quantum Annealing radar Cross Sections

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An Algorithm for Segmenting Polarimetric SAR Imagery 19

An Algorithm for Segmenting Polarimetric SAR Imagery

引用

conference on radar sensor technology xix;and active and passive signatures vi

作者： Geaga, Jorge V. Consultant (United States)

ISBN: (纸本)9781628415773

We have developed an algorithm for segmenting fully polarimetric single look TerraSAR-X, multilook SIR-C and 7 band Landsat 5 imagery using neural nets. The algorithm uses a feedforward neural net with one hidden layer to segment different surface classes. The weights are refined through an iterative filtering process characteristic of a relaxation process. Features selected from studies of fully polarimetric complex single look TerraSAR-X data and multilook SIR-C data are used as input to the net. The seven bands from Landsat 5 data are used as input for the Landsat neural net. The Cloude-Pottier incoherent decomposition is used to investigate the physical basis of the polarimetric SAR data segmentation. The segmentation of a SIR-C ocean surface scene into four classes is presented. This segmentation algorithm could be a very useful tool for investigating complex polarimetric SAR phenomena.

关键词： Image segmentation Polarimetry L band Neural networks Scattering Synthetic aperture radar Earth observing sensors Landsat Algorithm development Polarization

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Principle and experimental results of ultra-wideband noise radar imaging of a cylindrical conducting object using diffraction tomography 19

Principle and experimental results of ultra-wideband noise r...

引用

conference on radar sensor technology xix and active and passive signatures vi

作者： Shin, Hee Jung Asmuth, Mark A. Narayanan, Ram M. Rangaswamy, Muralidhar Penn State Univ University Pk PA 16802 USA AFRL RYAP Air Force Res Lab Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9781628415773

In this paper, the principle, simulation, and experiment results of tomographic imaging of a cylindrical conducting object using random noise waveforms are presented. Theoretical analysis of scattering and the image reconstruction technique are developed based on physical optics approximation and Fourier diffraction tomography, respectively. The bistatic radar system is designed to transmit band-limited ultra-wideband (UWB) random noise waveforms at a fixed position, and a linear scanner allows a single receiving antenna to move along a horizontal axis for backward scattering measurement in the frequency range from 3-5 GHz. The reconstructed tomographic image of the rotating cylindrical conducting object based on experimental results are seen to be in good agreement with the simulation results, which demonstrates the capability of UWB noise radar for complete two-dimensional tomographic image reconstruction of a cylindrical conducting object.

关键词： Tomographic imaging back projection imaging ultra-wideband noise radar noise tomography

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Diagnosis of edema and inflammation in human intestines using ultrawideband radar 19

Diagnosis of edema and inflammation in human intestines usin...

引用

conference on radar sensor technology xix and active and passive signatures vi

作者： Smith, Sonny Narayanan, Ram M. Messaris, Evangelos Penn State Univ Dept Elect Engn University Pk PA 16802 USA Penn State Univ Coll Med Hershey PA 17033 USA

ISBN: (纸本)9781628415773

Human intestines are vital organs, which are often subjected to chronic issues. In particular, Crohn's disease is a bowel aliment resulting in inflammation along the lining of one's digestive tract. Moreover, such an inflammatory condition causes changes in the thickness of the intestines;and we posit induce changes in the dielectric properties detectable by radar. This detection hinges on the increase in fluid content in the afflicted area, which is described by effective medium approximations (EMA). In this paper, we consider one of the constitutive parameters (i.e. relative permittivity) of different human tissues and introduce a simple numerical, electromagnetic multilayer model. We observe how the increase in water content in one layer can be approximated to predict the effective permittivity of that layer. Moreover, we note trends in how such an accumulation can influence the total effective reflection coefficient of the multiple layers.

关键词： Ultra-wide Band (UWB) radar Relative Permittivity Effective Medium Approximation Edema Inflammation Inflammatory Bowel Disease Crohn's Disease (CD)

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Design and implementation of a noise radar tomographic system 19

Design and implementation of a noise radar tomographic syste...

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conference on radar sensor technology xix and active and passive signatures vi

作者： Asmuth, Mark A. Shin, Hee Jung Narayanan, Ram M. Rangaswamy, Muralidhar Penn State Univ University Pk PA 16802 USA AFRL RYAP Air Force Res Lab Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9781628415773

A hardware system has been developed to perform ultrawideband (UWB) noise radar tomography over the 3-5 GHz frequency range. The system utilizes RF hardware to transmit multiple independent and identically distributed UWB random noise waveforms. A 3-5 GHz band-limited signal is generated using an arbitrary waveform generator and the waveform is then amplified and transmitted through a horn antenna. A linear scanner with a single antenna is used in place of an antenna array to collect backscatter. The backscatter is collected from the transmission of each waveform and reconstructed to form an image. The images that result from each scan are averaged to produce a single tomographic image of the target. After background subtraction, the scans are averaged to improve the image quality. The experimental results are compared to the theoretical predictions. The system is able to successfully image metallic and dielectric cylinders of different cross sections.

关键词： Tomographic imaging back projection imaging ultra-wideband noise radar noise tomography

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Sparse SAR Imaging for a Stepped-Frequency Harmonic radar 19

Sparse SAR Imaging for a Stepped-Frequency Harmonic Radar

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conference on radar sensor technology xix;and active and passive signatures vi

作者： Lam Nguyen Gallagher, Kyle Ranney, Kenneth US Army Res Lab Adelphi MD 20783 USA Penn State Univ Dept Elect Engn University Pk PA 16802 USA

ISBN: (纸本)9781628415773

The U.S. Army Research Laboratory is studying the feasibility of using stepped-frequency, ultra-wideband (UWB) synthetic aperture radar (SAR) for the detection of nonlinear targets with harmonic frequency responses. The approach would filter out all natural clutter and manmade objects in the scene that do not have responses in the harmonic frequency bands. In this paper, we show the formulation of SAR imaging using harmonic responses from nonlinear targets. We also show the degradation in SAR image quality when the radar operates in a restricted and congested frequency spectrum where a significant percentage of the spectrum is either reserved or used by other systems. Fortunately, due to the sparse nature of the nonlinear objects in a typical scene, information in the missing frequency bands can be recovered to reduce the artifacts in SAR imagery. In this paper, we apply our sparse recovery technique to estimate the information in the missing frequency bands. Recovery performance in both raw data and SAR image domain is demonstrated using simulation and measured data from experiment.

关键词： sparse imaging compressed sensing harmonic radar nonlinear radar stepped-frequency radar ultra-wideband radar (UWB) synthetic aperture radar (SAR)

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SVM Based Target Classification using RCS Feature Vectors 19

SVM Based Target Classification using RCS Feature Vectors

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conference on radar sensor technology xix and active and passive signatures vi

作者： Bufler, Travis D. Narayanan, Ram M. Dogaru, Traian Penn State Univ Dept Elect Engn University Pk PA 16802 USA Army Res Lab Sensors & Electron Devices Directorate Adelphi MD 20783 USA

ISBN: (纸本)9781628415773

This paper investigates the application of SVM (Support Vector Machines) for the classification of stationary human targets and indoor clutter via spectral features. Applying Finite Difference Time Domain (FDTD) techniques allows us to examine the radar cross section (RCS) of humans and indoor clutter objects by utilizing different types of computer models. FDTD allows for the spectral characteristics to be acquired over a wide range of frequencies, polarizations, aspect angles, and materials. The acquired target and clutter RCS spectral characteristics are then investigated in terms of their potential for target classification using SVMs. Based upon variables such as frequency and polarization, a SVM classifier can be trained to classify unknown targets as a human or clutter. Furthermore, the application of feature selection is applied to the spectral characteristics to determine the SVM classification accuracy of a reduced dataset. Classification accuracies of nearly 90% are achieved using radial and polynomial kernels.

关键词： radar Clutter RCS FDTD Human Through-the-Wall SVM Machine Learning Target Classification

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