Daniel J. Peacock and Balasubramaniam Santhanam
Discrete Fractional Fourier Transform, multicomponent chirp parameter estimation, subspace decomposition
The Discrete Fractional Fourier Transform is a useful tool for multicomponent chirp parameter estimation, however much of the current work ignores the presence of noise. In recent work, a projection-subspace approach to DFrFT-based multicomponent chirp parameter estimation was proposed, to exploit the robustness of subspace decomposition methods. This paper refines the prior projection-subspace work to overcome limitations caused by the projection preprocessing, and presents a quantitative analysis of its performance as compared to the Cramer-Rao lower bound.
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