Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 24 for “"Radar signal processing"”.
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Investigation of topics in radar signal processing
… W. Lawton for spotlight-mode synthetic aperture radar (SAR). The spatial domain image is produced through a series of convolutions and DFTs, all performed using FFTs. We show that the algorithm implements a form of trapezoidal-to-Cartesian interpolation followed by an FFT.
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Waveform Diversity and Range-Coupled Adaptive Radar Signal Processing
Waveform diversity may offer several benefits to radar systems though often at the cost of reduced sensitivity. Multi-dimensional processing schemes are known to offer many degrees of freedom, which can be exploited to suppress the ambiguity inherent to pulse compression, array processing, and …
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Software-defined pulse-doppler radar signal processing on graphics processors
Modern pulse-Doppler radars use digital receivers with high speed ADCs and sophisticated radar signal processors that necessitate high data rates, computationally intensive processing, and strict latency requirements. Data-independent processing is performed as the first stage and requires the …
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Software packages performance evaluation of basic radar signal processing techniques
This dissertation presents a radar signal processing infrastructure implemented on scripting language platforms. The main goal is to determine if any open source scripted packages are appropriate for radar signal processing and if it is worthwhile purchasing the more expensive MATLAB, commonly used …
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MIMO radar: signal processing, waveform design, and applications to synthetic aperture imaging
… of multiple-input, multiple-output (MIMO) radar techniques to improve the image quality and area-coverage rate of synthetic aperture imaging systems. A signal processing architecture for MIMO radar is used to understand the applicability of MIMO for synthetic aperture radar (SAR) and …
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Low Latency Compressive Sensing using Multi-Resolution Analysis In Radar Signal Processing
… every day which implies a higher demand for the signal acquisition and processing speeds and a wider signal bandwidth. The Shannon/Nyquist sampling theorem states, the ADC must sample the signal at a rate two times faster than the signal bandwidth in order to avoid data loss. However, the …
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Acceleration of parasitic multistatic radar system using GPGPU
… the implementation of PMR [Parasitic Multistatic Radar] signal processing chain in the GPGPU [General Purpose Graphic Processing Units] platform. The primary objective of the project is to accelerate the signal processing chain without compromising the algorithm efficiency and to prove that GPGPUs …
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Benchmarking and analysis of the SRC-6E reconfigurable computing system
… the SRC-6E reconfigurable computing system for a radar signal processing application and documents the process of creating and importing VHDL code to configure the user definable logic on the SRC-6E. A false-target radar-imaging algorithm was chosen and implemented on the SRC-6E. Data from …
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Modeling SAR signals and sensors using VHDL
The purpose of radar signal processing is to extract desired data from radar signals. Testing of the radar signal processor requires that one produce a test consisting of a sequence of digitized radar sensor data. If the signal processor is modeled in VHDL then the sequence of sensor data will be …
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Radar Detection, Tracking and Identification for UAV Sense and Avoid Applications
… targets by enabling rapid prototyping of novel radar techniques such as micro-Doppler radar target identification or cognitive radar. To enable empirical radar signal processing evaluations, an S-Band and X-Band frequency modulated, software-defined radar testbed is designed, implemented, and …
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Optimization of coded signals based on wavelet neural network
… compression technique is used in many modern radar signal processing systems to achieve the range accuracy and resolution of a narrow pulse while retaining the detection capability of a long pulse. It is important for improving range resolution for target. Matched filtering of binary phase …
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Design of a TMS320 C25 signal processor for use in a monopulse radar
The advent of better and faster digital signal processing chips has led to digital implementation of many functions that have previously only been possible using analogue techniques. One such field is monopulse radar where available processing time is limited strictly to the radar pulse repetition …
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Software-Hardware Co-design For Deep Learning Model Acceleration
… I designed an end-to-end neural network enhanced radar signal processing system on FPGA. The FPGA implementation is carefully optimized to better tradeoff between performance and energy efficiency. Finally for software-hardware co-design, I propose a Hessian-aware NM (HANM) pruning, a novel …
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Robust Steering Vector Mismatch Techniques for Reduced Rank Adaptive Array Signal Processing
… development of advanced reduced rank adaptive signal processing for airborne radar space-time adaptive processing (STAP) and steering vector mismatch robustness. This is an important area of research in the field of airborne radar signal processing since practical STAP algorithms should be …
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Contemporary Approaches to Radar Detection: Robust Statistics, Reinforcement Learning, and Reconfigurable Intelligent Surfaces
Radar detection is one of the most fundamental problems in wireless signal processing and has been thoroughly studied for decades. As such, there is very well established theory for radar detection under a myriad of different system models; however, as the machine that is research continues to …
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Mission Planning Tool for space debris studies with the MeerKAT radar
The Radar Remote Sensing Group at the University of Cape Town is currently investigating the feasibility of building an active radar system employing the MeerKAT radio telescope as receiver for space debris detection, tracking and imaging. This dissertation details the development of a Mission …
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Source Separation using Sparse Bayesian Learning
… we must be able to reliably separate the desired signals from those of other agents in the background. However, since our agents are noncooperative, we must develop a model-agnostic approach at tackling this problem. For this work, we will consider cohabitation between radar signals and …
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Radar detection and identification of human signatures using moving platforms
Radar offers unique advantages over other sensors for the detection of humans, such as remote operation during virtually all weather and lighting conditions, increased range, and better coverage. Many current radar-based human detection systems employ some type of Fourier analysis, such as Doppler …
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Electronic scan weather radar: scan strategy and signal processing for volume targets
… for options for the next generation of weather radar technology. With its superior capability for rapidly scanning the atmosphere, electronically scanned phased array radar (PAR) is a potential candidate. A network of such radars has been recommended for consideration by the National Academies …
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