Radar System Characterization - Ahmed, Razi
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Depending on the application, radar instruments can require varying degrees of accuracy. As our understanding and control of this accuracy increases, new applications can be developed at lower costs. As radar systems develop, they can tackle problems that require them to measure quantities by distinguishing minuscule changes in radar parameters such as amplitude, phase, frequency etc. The ability of a radar system to accurately and precisely measure these signal parameters eventually determines the fidelity of a measurement. Without understanding the exact limits of a system's performance,…mehr

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Produktbeschreibung
Depending on the application, radar instruments can require varying degrees of accuracy. As our understanding and control of this accuracy increases, new applications can be developed at lower costs. As radar systems develop, they can tackle problems that require them to measure quantities by distinguishing minuscule changes in radar parameters such as amplitude, phase, frequency etc. The ability of a radar system to accurately and precisely measure these signal parameters eventually determines the fidelity of a measurement. Without understanding the exact limits of a system's performance, these measurements cannot be guaranteed. This work deals with aspects of system characterization that determine the limits on how precisely radar systems can determine their fundamental parameters and hence the physical quantities associated with them.
It should help microwave engineers in research and commercial marketplaces design and test high precision microwave systems. It should also enable them to further develop and modify these techniques to suit their specific needs.
Autorenporträt
Razi Ahmed got his masters in Electrical Engineering in 2006 from the University of Massachusetts, Amherst where he is currently a doctoral candidate associated with the Microwave Remote Sensing Laboratory. His research interests include microwave remote sensing, estimation algorithms, SAR processing and vegetation structure estimation from InSAR.