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检索条件"任意字段=Conference on Radar Sensor Technology XXVI Part of SPIE Defense and Commercial Sensing Conference"

共 24 条记录，以下是1-10 订阅

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Concept and Design of Precise radar sensor for Relative Navigation in Ocean Environment 26

Concept and Design of Precise Radar Sensor for Relative Navi...

引用

conference on radar sensor technology xxvi part of spie defense and commercial sensing conference

作者： Zhang, Yan (Rockee) Metcalf, Justin Sun, Wei Univ Oklahoma Sch Elect & Comp Engn Norman OK 73019 USA Univ Oklahoma Adv Radar Res Ctr Norman OK 73019 USA Univ Oklahoma Sch Aerosp & Mech Engn Norman OK 73019 USA

ISBN: (纸本)9781510650930;9781510650923

This work addresses the design considerations, simulations, and fundamental framework of a novel Relative Navigation (RN) radar sensor operating at millimeter-wave bands, aiming at operating in ocean environments. A "multi-loop" system structure is suggested, which is believed to be the method to achieve the accuracy and reliability of a non-traditional tracking radar sensor. Simulation studies and data collection verification for preliminary hardware and software elements are presented.

关键词： Relative Navigation GPS-Denied radar Navigation millimeter-wave radar system

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Application of Impulse radar to Snow and Ice Penetration: A Case for Supporting Snow Layer Modeling and Characterizations 26

Application of Impulse Radar to Snow and Ice Penetration: A ...

引用

conference on radar sensor technology xxvi part of spie defense and commercial sensing conference

作者： Fusselman, Jakob Shrestha, Yunish Suarez, Hernan Zhang, Yan (Rockee) Perera, Sudantha Pratt, Gordon Rota, Nicole Univ Oklahoma Adv Radar Res Ctr Sch Elect & Comp Engn Intelligent Aerosp Radar Team IART 3190 Monitor Ave Norman OK 73019 USA Avametrix LLC Boise ID 83702 USA

ISBN: (纸本)9781510650930;9781510650923

In this study, we intended to verify simulations and measured data to support the development of an ultra-small and low-power, handheld, or drone-carried ultra-wideband impulse radar (IR). Such a radar can remotely detect layers in snow or ice that tend to crack or break under certain conditions. First, we introduce the basic hardware design and configuration as a background, then we developed a series of electromagnetics sensing models, which can support training and testing of an algorithm based on machine-learning (ML), since the time-domain radar signatures of those hazardous structures are not widely available. We compared the principles and performance of these computational models and validated them with lab measurements and some initial snow measurements.

关键词： Wide-band radar Impulse radar Snow Penetration EM Modeling

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radar Applications of Orthogonal Sudoku Arrays and Costas Cubes 26

Radar Applications of Orthogonal Sudoku Arrays and Costas Cu...

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conference on radar sensor technology xxvi part of spie defense and commercial sensing conference

作者： Munson, Nicholas R. Bufler, Travis D. Narayanan, Ram M. Penn State Univ Dept Elect Engn University Pk PA 16802 USA Appl Res Lab State Coll PA 16801 USA

ISBN: (纸本)9781510650930;9781510650923

In this paper, we explore the properties of various mathematical structures for use in radar applications, namely Orthogonal Sudoku arrays and Costas Cubes. The overarching theme is for the paper to serve as a foray into further explorations of these structures in more radar specific areas (e.g. noise radar). We, therefore, provide a brief description of each of these structures using mathematical theory before pivoting into computational results and a radar specific application in antenna array patterns. Afterwards, the key points of this exploration and further application of these structures in radar is then discussed.

关键词： Sudoku Costas Array Costas Cubes Correlation Antenna Array Array Pattern

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Automatic modulation classification of NLFM radar signal in multipath conditions 26

Automatic modulation classification of NLFM radar signal in ...

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conference on radar sensor technology xxvi part of spie defense and commercial sensing conference

作者： Milczarek, Hubert Lesnik, Czeslaw Djurovic, Igor Mil Univ Technol Inst Radioelect Ul Gen Sylwestra Kaliskiego 2 PL-00908 Warsaw Poland Univ Montenegro Elect Engn Dept Cetinjski Put 2 Podgorica 81000 Montenegro

ISBN: (纸本)9781510650930;9781510650923

The information about intrapulse modulation is commonly used to augment data in electronic intelligence systems. However, increasingly popular nonlinear frequency modulated (NLFM) waveform is hardly ever distinguished as a separate waveform class by electronic support systems. In this paper a method of recognizing NLFM radar signal is presented. The algorithm is based on two novel features extracted from fractional Fourier transform (FrFT) and instantaneous frequency estimated via quasi-maximum-likelihood (QML) method. Moreover, the algorithm is designed to be resistant to the multipath effects, which are inherent to land based intercept systems.

关键词： automatic modulation classifier nonlinear frequency modulation radar signal fractional Fourier transform QML method NLFM multipath

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Deep Learning for Classification of Targets Using Low-Frequency Ultra-Wideband Synthetic Aperture radar Imagery 26

Deep Learning for Classification of Targets Using Low-Freque...

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conference on radar sensor technology xxvi part of spie defense and commercial sensing conference

作者： Nguyen, Lam H. Mishra, Kumar Vijay DEVCOM Army Res Lab Adelphi MD 20783 USA

ISBN: (纸本)9781510650930;9781510650923

In this paper, we present recent investigations by the U.S. Combat Capabilities Development Command (DEVCOM) Army Research Laboratory (ARL) into using low-frequency ultra-wideband (UWB) synthetic aperture radar (SAR) to detect obscured and buried targets. In particular, we investigate features that potentially discriminate between the target and clutter classes with the aim of classifying multiple target classes. In addition to the time- or spatial-domain complex data responses derived from the targets' signatures, we consider the variations of the targets' responses with changes across multiple polarization channels, viewing aspect angles, and frequency spectra. We apply deep neural networks to exploit these discrimination features extracted from SAR signatures of targets-of-interest and clutter.

关键词： ultra-wideband (UWB) synthetic aperture radar (SAR) low-frequency discrimination neural network convolutional neural network (CNN) deep learning mine detection

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Experimental analysis of micro-Doppler characteristics of drones and birds for classification purposes 26

Experimental analysis of micro-Doppler characteristics of dr...

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conference on radar sensor technology xxvi part of spie defense and commercial sensing conference

作者： Tsang, Bryan T. Narayanan, Ram M. Bharadwaj, Ramesh Penn State Univ Dept Elect Engn University Pk PA 16802 USA US Naval Res Lab 4555 Overlook Ave SW Washington DC 20375 USA

ISBN: (纸本)9781510650930;9781510650923

This paper investigates the use of micro-Doppler signatures of drones and birds for their detection and classification. Assessments made from simulated results are verified by data collected using a 10-GHz continuous wave (CW) radar system. Time/Velocity spectrograms generated for micro-Doppler analysis of multiple drones and birds are used for target identification and movement classification within TensorFlow. Results using Support Vector Machine (SVM) indicate 96% accuracy for drones vs. birds and 85% accuracy among individual drone and bird distinction between 5 classes.

关键词： Drone Detection UAV Bird Micro-Doppler Spectrogram Continuous-Wave radar Classification

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Development of Polarimetric radar Product and Initial Application for Airborne HIWC Detection 26

Development of Polarimetric Radar Product and Initial Applic...

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conference on radar sensor technology xxvi part of spie defense and commercial sensing conference

作者： Shrestha, Yunish Zhang, Yan Fusselman, Jakob McFarquhar, Greg M. Blake, WIlliam Harrah, Steven Univ Oklahoma Adv Radar Res Ctr Sch Elect & Comp Engn Intelligent Aerosp Radar Team IART Norman OK 73019 USA Univ Oklahoma Cooperat Inst Severe & High Impact Weather Res & Norman OK 73071 USA Univ Oklahoma Sch Meteorol Norman OK 73071 USA Garmin Int Inc Garmin Aviat Weather Radar Grp Olathe KS 66062 USA NASA Langley Res Ctr Hampton VA 23681 USA

ISBN: (纸本)9781510650930;9781510650923

Based on the previous development of available radar simulators, this work further evaluates the detection and estimation of High-Ice-Water-Content (HIWC) conditions for airborne radar sensing. In hardware development, we developed a new prototype X-band, dual-polarized planar broadside array for the system upgrade. We used the data from previous flight campaigns that combined radar and in-situ probe measurement to improve the physical models of the ice particles and their distributions. The usage of dual-polarized radar variables (such as ZDR and KDP) for forward-looking cases are then evaluated in parallel to the development of a new prototype of a low-cost airborne polarimetric radar sensor.

关键词： HIWC Aviation Hazards Airborne radar Sensitivity

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Analysis of antenna array patterns for multiple squad configurations 26

Analysis of antenna array patterns for multiple squad config...

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conference on radar sensor technology xxvi part of spie defense and commercial sensing conference

作者： Pawelski, Mark G. Narayanan, Ram M. Kompella, Sastry Penn State Univ University Pk PA 16802 USA US Naval Res Lab Washington DC 20375 USA

ISBN: (纸本)9781510650930;9781510650923

Lightweight antennas with accompanying transceivers can be mounted to the gear of a soldier to act as a radar system, both active and passive. In common squad configurations, nine (9) soldiers form a variety of positional shapes in their patrols, most commonly triangles, squares, and straight lines. The culmination of the receivers for the entire squad creates complex antenna arrays. In this paper, we investigate the antenna array patterns for these squad configurations. This radar system as a whole can act as an active system, with one node acting as the transmitter, or as a purely passive system, exploiting transmitters of opportunity depending on the RF infrastructure of the current environment. The array patterns can also be manipulated to meet other situational needs, including vehicular or ship mounted systems for a wide variety of purposes.

关键词： Active radar Antenna Array Node Passive radar Warfighter Squad Pattern

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Real-time transponder detection using open-source software-defined radio receiver architecture for harmonic radar systems 26

Real-time transponder detection using open-source software-d...

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conference on radar sensor technology xxvi part of spie defense and commercial sensing conference

作者： Penaloza-Aponte, Diego Urbina, Julio, V Fuentes, Jose D. Penn State Univ Dept Elect Engn & Comp Sci University Pk PA 16802 USA Penn State Univ Dept Meteorol & Atmospher Sci University Pk PA 16802 USA

ISBN: (纸本)9781510650930;9781510650923

We report the integration of an open-source software-defined radio (SDR) receiver to detect and track in realtime harmonic radar echoes produced by a non-linear device (transponder) mounted on a very small target. We describe a series of experimental measurements that were conducted to validate the sensitivity of the receiver system. In addition, we describe the implementation of a high-speed digital signal processing and a target detection algorithm. Finally, the experimental data and the results after the signal processing for detection are presented. In particular, it is demonstrated that the platform is a cost-effective receiver solution for the detection of transponders in Harmonic radar applications, relatively simple to program and implement.

关键词： Software-defined radio open-source harmonic radar transponder

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Semi-Supervised Attention-Augmented Convolutional Autoencoder for radar-Based Human Activity Recognition 26

Semi-Supervised Attention-Augmented Convolutional Autoencode...

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conference on radar sensor technology xxvi part of spie defense and commercial sensing conference

作者： Campbell, Christopher Ahmad, Fauzia Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA

ISBN: (纸本)9781510650930;9781510650923

In this paper, we consider semi-supervised training of an attention-augmented convolutional autoencoder (AACAE) for human activity recognition using radar micro-Doppler signatures. The AA-CAE learns global information in addition to spatially localized features, thus enabling the classifier to overcome the limited receptive field of a conventional convolutional autoencoder (CAE). The design also permits the possibility of semi-supervised training of the AA-CAE using training data comprising unlabeled and labeled sets. More specifically, the semisupervised training regime is implemented by first pre-training the AA-CAE via unsupervised training of the attention-augmented autoencoder with the unlabeled portion of the training data. This is followed by fine-tuning of the AA-CAE for classification using the labeled portion. Using real-data measurements of six different human activities, we demonstrate that the semi-supervised AA-CAE yields higher classification accuracy with much less labeled data than a fully-supervised conventional CAE.

关键词： Machine learning latent-variable models semi-supervised learning Human activity recognition micro-Doppler unsupervised learning

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