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Next: Fresnel Analysis Based Model Up: ROBUST CHIRP PARAMETER ESTIMATION Previous: Introduction


THEORY

To develop our models, we first consider a simple discrete time linear frequency chirp signal with center frequency zero:
$\displaystyle y(n) = \exp(j\alpha n^2).$     (1)

where $\alpha $ is the one-half the chirp rate in radians per sample squared. (It may be shown that the results obtained for such a signal may be generalized to arbitrary center frequency and amplitude scaling.) We may write the DFT of the rectangle-windowed signal as
$\displaystyle Y(k)$ $\textstyle =$ $\displaystyle \sum_{n=-(N-1)/2}^{(N-1)/2}\exp(j( \alpha n^2
-2\pi k n/ K)).$ (2)

where we implicitly apply a zero-phase window of odd sample length $N$, and where $K$ is the length of the optionally zero padded transform.

Subsections

Aaron S. Master 2003-03-31