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Full-Text Articles in Engineering
Accuracy Of Biomass And Structure Estimates From Radar And Lidar, Razi Uddin Ahmed
Accuracy Of Biomass And Structure Estimates From Radar And Lidar, Razi Uddin Ahmed
Open Access Dissertations
A better understanding of ecosystem processes requires accurate estimates of forest biomass and structure on global scales. Recently, there have been demonstrations of the ability of remote sensing instruments, such as radar and lidar, for the estimation of forest parameters from spaceborne platforms in a consistent manner. These advances can be exploited for global forest biomass accounting and structure characterization, leading to a better understanding of the global carbon cycle. The popular techniques for estimation of forest parameters from radar instruments in particular, use backscatter intensity, interferometry and polarimetric interferometry. This dissertation analyzes the accuracy of biomass and structure estimates …
A Compressive Radar System With Chaos Based Fm Signals Generated Using The Bernoulli Map, Charan Teja Enugula
A Compressive Radar System With Chaos Based Fm Signals Generated Using The Bernoulli Map, Charan Teja Enugula
Electrical Engineering Theses
Matched filters are used in radar systems to identify echo signals embedded in noise. By using matched filters, range and Doppler information about the target can be extracted from the reflected signal. The use of matched filters in high frequency radars has the effect of increasing the cost and complexity of these systems. For that reason, the radar research community is looking at a new technique called compressive sensing or compressive sampling. This technique works by exploiting signal sparsity and has the potential to eliminate the use of matched filters and high frequency analog-to-digital converters. In this research, it is …
Suicide Bomber Detection Using Millimeter-Wave Radar, Richard Sullivan, Morgan Galaznik, Jose Ángel Martinez-Lorenzo, Carey M. Rappaport
Suicide Bomber Detection Using Millimeter-Wave Radar, Richard Sullivan, Morgan Galaznik, Jose Ángel Martinez-Lorenzo, Carey M. Rappaport
Jose Martinez-Lorenzo
Amidst the manifold threats currently afflicting public welfare, that of body-worn explosives is significant if not altogether paramount. Commonly referred to as ""suicide bombers,"" the bearers of body-worn, improvised explosive devices (IEDs) enter crowded public areas in order to detonate the IDE, inflicting lethal damage to themselves and surrounding individuals. Constructed of non-standard parts and veiled under layers of clothing, these body-worn IEDs go frequently undetected. The aim of this research is to examine the feasibility of using millimeter-wave (MMW) radar to detect body-worn IEDs at distances up to 50 meters. In order to achieve a beamwidth capable of illuminating …
Suicide Bomber Detection Using Millimeter-Wave Radar, Richard Sullivan, Morgan Galaznik, Jose Ángel Martinez-Lorenzo, Carey M. Rappaport
Suicide Bomber Detection Using Millimeter-Wave Radar, Richard Sullivan, Morgan Galaznik, Jose Ángel Martinez-Lorenzo, Carey M. Rappaport
Carey Rappaport
Amidst the manifold threats currently afflicting public welfare, that of body-worn explosives is significant if not altogether paramount. Commonly referred to as ""suicide bombers,"" the bearers of body-worn, improvised explosive devices (IEDs) enter crowded public areas in order to detonate the IDE, inflicting lethal damage to themselves and surrounding individuals. Constructed of non-standard parts and veiled under layers of clothing, these body-worn IEDs go frequently undetected. The aim of this research is to examine the feasibility of using millimeter-wave (MMW) radar to detect body-worn IEDs at distances up to 50 meters. In order to achieve a beamwidth capable of illuminating …
Automatic Parameter Selection For Feature-Enhanced Radar Image Restoration, Moeness G Amin, Cher Hau Seng, Son Lam Phung, Abdesselam Bouzerdoum
Automatic Parameter Selection For Feature-Enhanced Radar Image Restoration, Moeness G Amin, Cher Hau Seng, Son Lam Phung, Abdesselam Bouzerdoum
Cher Hau Seng
In this paper, we propose a new technique for optimum parameter selection in non-quadratic radar image restoration. Although both the regularization hyper-parameter and the norm value are influential factors in the characteristics of the formed restoration, most existing optimization methods either require memory intensive computation or prior knowledge of the noise. Here, we present a contrast measure-based method for automated hyper-parameter selection. The proposed method is then extended to optimize the norm value used in non-quadratic image formation and restoration. The proposed method is evaluated on the MSTAR public target database and compared to the GCV method. Experimental results show …
Target Localization In Passive And Active Systems : Performance Bonds, Vlad Mihai Chiriac
Target Localization In Passive And Active Systems : Performance Bonds, Vlad Mihai Chiriac
Dissertations
The main goal of this dissertation is to improve the understanding and to develop ways to predict the performance of localization techniques as a function of signal-to-noise ratio (SNR) and of system parameters. To this end, lower bounds on the maximum likelihood estimator (MLE) performance are studied. The Cramer-Rao lower bound (CRLB) for coherent passive localization of a near-field source is derived. It is shown through the Cramer-Rao bound that, the coherent localization systems can provide high accuracies in localization, to the order of carrier frequency of the observed signal. High accuracies come to a price of having a highly …
Synchronous Communication System For Saw Sensors Interrogation, Maxim Troshin
Synchronous Communication System For Saw Sensors Interrogation, Maxim Troshin
Electronic Theses and Dissertations
During past two decades a variety of SAW based wireless sensors were invented and research is still in progress. As different frequencies, varied bandwidths, coding techniques and constantly changing post processing algorithms are being implemented, there is a constant need for a universal and adjustable synchronous communication system able to interrogate new generations of SAW sensors. This thesis presents the design of a multiple FPGA based communication system with an operational frequency range of 450MHz-2.2GHz capable of producing user programmed modulated signal. The synchronous receiver is designed to have interchangeable chip, replacement of which would allow adjustment of the receiver’s …
A Laser Radar Employing Linearly Chirped Pulses From A Mode-Locked Laser For Long Range, Unambiguous, Sub-Millimeter Resolution Ranging And Velocimetry, Mohammad Umar Piracha
A Laser Radar Employing Linearly Chirped Pulses From A Mode-Locked Laser For Long Range, Unambiguous, Sub-Millimeter Resolution Ranging And Velocimetry, Mohammad Umar Piracha
Electronic Theses and Dissertations
Light detection and ranging (lidar) is used for various applications such as remote sensing, altimetry and imaging. In this talk, a linearly chirped pulse source is introduced that generates wavelength-swept pulses exhibiting ~6 nm optical bandwidth with > 20 km coherence length. The chirped pulses are used in an interferometric lidar setup to perform distance measurements with sub-millimeter resolution (using pulses that are a few meters long), at target distances > 10 km, with at least 25 dB signal-to-noise ratio at the receiver. A pulse repetition rate of 20 MHz provides fast update rates, while chirped pulse amplification allows easy amplification of …
Analysis Of Orthogonal Matching Pursuit Based Subsurface Imaging For Compressive Ground Penetrating Radars, Mehmet Ali̇ Çağri Tuncer, Ali̇ Cafer Gürbüz
Analysis Of Orthogonal Matching Pursuit Based Subsurface Imaging For Compressive Ground Penetrating Radars, Mehmet Ali̇ Çağri Tuncer, Ali̇ Cafer Gürbüz
Turkish Journal of Electrical Engineering and Computer Sciences
It is shown that compressive sensing (CS) theory can be used for subsurface imaging in stepped frequency ground penetrating radars (GPR), resulting in robust sparse images, using fewer measurements. Although the data acquisition time is decreased by CS, the computational complexity of the minimization based imaging algorithm is too costly, which makes the algorithm useless, especially for extensive discretization or 3D imaging. In this paper, a greedy alternative, orthogonal matching pursuit (OMP) is used for imaging subsurface and its performance under various conditions is compared to CS imaging method. Results show that OMP could reconstruct sparse signals robustly as well …