Multicomponent Subspace Chirp Parameter Estimation using Discrete Fractional Fourier Analysis

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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