Title page for ETD etd-032806-165036

Document Type	thesis
Author Name	Koski, Antti E.
URN	etd-032806-165036
Title	Rapid Frequency Estimation
Degree	MS
Department	Electrical & Computer Engineering
Advisors	David Cyganski, Advisor Sergey Makarov, Committee Member James Duckworth, Committee Member
Keywords	DSS ECM SVD Singular Value Decomposition rapid frequency estimation frequency estimation
Date of Presentation/Defense	2006-02-24
Availability	unrestricted
Abstract Frequency estimation plays an important role in many digital signal processing applications. Many areas have benefited from the discovery of the Fast Fourier Transform (FFT) decades ago and from the relatively recent advances in modern spectral estimation techniques within the last few decades. As processor and programmable logic technologies advance, unconventional methods for rapid frequency estimation in white Gaussian noise should be considered for real time applications. In this thesis, a practical hardware implementation that combines two known frequency estimation techniques is presented, implemented, and characterized. The combined implementation, using the well known FFT and a less well known modern spectral analysis method known as the Direct State Space (DSS) algorithm, is used to demonstrate and promote application of modern spectral methods in various real time applications, including Electronic Counter Measure (ECM) techniques.
Files	akoski.pdf

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