Download or read book Sub Nyquist Synthetic Aperture Radar Imaging and Ground Moving Target Indication written by Abdulmalik Aldharrab and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An approach to ground moving target indication using multiple resolutions of multilook synthetic aperture radar images written by Geoffrey A. Akers and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Ground Moving Target Indication with Millimeter Wave Synthetic Aperture Radar written by Maurice Rüegg and published by . This book was released on 2007 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Meter Wave Synthetic Aperture Radar for Concealed Object Detection written by Hans Hellsten and published by Artech House. This book was released on 2017-05-31 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique resource presents the principles of meter wave ground imaging radar focusing on foliage penetration. Scattering of VHF/UHF radar signals are presented including the basic laws of electromagnetism, homogeneous media, media discontinuities/non-flat media discontinuities, and ground reflectivity. The book introduces meter wavelength synthetic aperture radar, bandwidth, and SAR imaging principles, including moving objects and also compares collected SAR data. Meter wavelength SAR system design and processing is explored, highlighting low frequency SAR design aspects, characterization of additive noise, antenna system basics, waveforms and emission adaptation which is critical material to the advancement in sensors and signal processing for below ground imaging by the energy industry and governments worldwide. The FFBP method of processing, explicit treatment of base 2 FFBP is explained along with motion errors sensitivity and motion estimation methods. The book also explains the Bayesian change detection, covariance moving target extraction and polarimetric subsurface imaging.
Download or read book Passive Synthetic Aperture Radar Imaging of Ground Moving Targets written by Steven Wacks and published by . This book was released on 2014 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Synthetic Aperture Radar Signal and Image Processing for Moving Target Indication and Side Lobe Suppression written by and published by . This book was released on 2012 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sparsity Driven Ground Moving Target Indication in Synthetic Aperture Radar written by Di Wu and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Detection of Ground Moving Objects with Synthetic Aperture Radar written by Ishuwa C. Sikaneta and published by . This book was released on 2004 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Synthetic Aperature Radar Image Formation for the Moving Target and Near Field Bistatic Cases written by Yu Ding and published by . This book was released on 2002 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Along Track Interferometry Synthetic Aperture Radar ATI SAR Techniques for Ground Moving Target Detection written by and published by . This book was released on 2006 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conventional along track interferometric synthetic aperture radar, ATI-SAR, approaches can detect targets with very low radial speeds, but their false alarm rate is too high to be used in ground moving target indication radars. The report proposed a dual-threshold approach that combines the conventional interferometric phase detection and the SAR image amplitude detection in order to reduce the false alarm rate. The concept and performance of the dual-threshold approach were illustrated using the Jet Propulsion Laboratory AirSAR ATI data. A simple two-dimensional blind calibration procedure was proposed to correct the group phase shift induced by the platform's crab angle. MATLAB programs for demonstrating the proposed approach were included.
Download or read book Synthetic Aperture Radar written by John J. Kovaly and published by Artech House Publishers. This book was released on 1976 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Compressive Sensing for Urban Radar written by Moeness Amin and published by CRC Press. This book was released on 2017-12-19 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed constraints on signal sampling schemes in time and space, and to effectively address logistic difficulties in data acquisition. Traditionally, these challenges have hindered high resolution imaging by restricting both bandwidth and aperture, and by imposing uniformity and bounds on sampling rates. Compressive Sensing for Urban Radar is the first book to focus on a hybrid of two key areas: compressive sensing and urban sensing. It explains how reliable imaging, tracking, and localization of indoor targets can be achieved using compressed observations that amount to a tiny percentage of the entire data volume. Capturing the latest and most important advances in the field, this state-of-the-art text: Covers both ground-based and airborne synthetic aperture radar (SAR) and uses different signal waveforms Demonstrates successful applications of compressive sensing for target detection and revealing building interiors Describes problems facing urban radar and highlights sparse reconstruction techniques applicable to urban environments Deals with both stationary and moving indoor targets in the presence of wall clutter and multipath exploitation Provides numerous supporting examples using real data and computational electromagnetic modeling Featuring 13 chapters written by leading researchers and experts, Compressive Sensing for Urban Radar is a useful and authoritative reference for radar engineers and defense contractors, as well as a seminal work for graduate students and academia.
Download or read book A Multiple Aperture Feed System for Ground Moving Target Indication GMTI Radar Applications written by and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Synthetic Aperture Radar Moving Target Focusing and Geolocation Using Moving Reference Processing written by Christopher D. Lemanski (MAJ, USAF.) and published by . This book was released on 2006 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book New Approaches to Ground Moving Target Indicator Radar written by Michael Richard Riedl and published by . This book was released on 2016 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasing the resolution of radar imaging and ground moving target indicator (GMTI) systems puts a stress on both hardware and processing limitations. Hardware must be able to handle the transfer of the large amounts of data generated. Additionally, the processing must be robust to any heterogeneity of the data that is introduced by collecting returns from large swaths. This dissertation presents system architectures and knowledge-aided processing techniques to combat the large data rates and data heterogeneity. Ground moving target indicator radar techniques for airborne platforms require spatial and Doppler signal diversity for separating the returns of moving targets from the returns of ground clutter. The traditional use of multiple receive antennas for jointly imaging a scene and detecting moving objects is prohibited by the system bottleneck at the data down-link. We present a frequency division multiple access, multiple-transmit single-receive radar architecture, with associated waveform design and data processing procedure. The proposed approach is demonstrated to jointly provide imaging and GMTI modalities while maintaining the data rate to that of a single antenna imaging system. Heterogeneity of the radar backscatter data degrades detection performance by biasing statistical parameters estimated from the data. A GMTI processing technique, known as space-time adaptive processing (STAP), requires estimation of the space-time covariance of the clutter for use in a generalized likelihood ratio test. Consequently, the performance of STAP is related to the quality of the estimated clutter covariance matrix; however, in practice it is common for the data to be limited, contaminated, and heterogeneous. In this dissertation, we introduce and evaluate two estimators for the clutter covariance and a purely Bayesian detection scheme. A Bayesian model is postulated for the angle/Doppler scene to incorporate approximate prior knowledge of the terrain height and the platform kinematics. Posterior probabilities computed using the model are then used to either estimate a covariance matrix or directly report posterior probabilities of the presence of a target. The approach is a novel means for incorporating operational knowledge into GMTI processing and admits low-complexity algorithmic implementation via recent advances in Bayesian message passing algorithms. In the second covariance estimator, a regularized shrinkage approach is proposed, whereby prior knowledge is expressed through an elastic net regularization penalty on a minimum expected squared error estimation cost. The regularized shrinkage estimator is shown to coincide with a minimax robust covariance estimator and offers simplicity in modeling and computation that may facilitate use by practitioners. In the third approach, the Bayesian model is augmented to jointly estimate calibration parameters for unknown antenna phases and detect moving targets. The performances of the proposed estimators and detectors are evaluated using the KASSPER I dataset. We conclude that the proposed approaches extend the state-of-the-art to provide reliable detection performance when the training data is limited to a number of range bins less than the rank of the true covariance matrix. Further, when presented no training data, the Bayesian approach is shown to maintain performance using only the data under test. Finally, the purely Bayesian detection approach, when combined with antenna calibration, is observed to provide enhanced resolution, allowing reliable detection of multiple targets within a single range bin not achievable with traditional STAP.
Download or read book Principles of Space Time Adaptive Processing written by Richard Klemm and published by IET. This book was released on 2006-11-28 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic introduction to airborne MTI (moving target indication) system design for use in the fields of earth observation, surveillance and reconnaissance, with particular regard to the suppression of clutter returns. New developments in the field and special aspects of airborne MTI radar are also covered.
Download or read book Enhanced Inverse Synthetic Aperture Radar written by Richard Maxwell Naething and published by . This book was released on 2010 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Synthetic aperture radar (SAR) is an imaging technique based on the radio reflectivity of the target being imaged. SAR instruments offer many advantages over optical imaging due to the ability to form coherent images in inclement weather, at night, and through ground cover. High resolution is achieved in azimuth through a synthesized aperture much larger than the physical antenna of the imaging device. Consequently, proper focusing requires accurate information about the relative motion between the antenna phase center and the scene. Any unknown target velocity, acceleration, rotation, or vibration will introduce errors in the image. This work addresses a novel method of focusing a moving target in a SAR image through the estimation of various motion parameters. The target azimuth position is determined through monopulse radar, at which point range velocity and acceleration are estimated across a series of overlapping sub-apertures. Cross-range velocity is then estimated through a search to optimize an image quality metric such as entropy or contrast. A final focused image is then generated based on this velocity vector. Methods of extending this work for a single phase center system are considered. This technique is demonstrated with real radar data from an experimental system, and the performance of this technique is compared both subjectively and with a variety of image metrics to the MITRE keystone technique. Finally, extensions to this current line of research are considered.
