Signal reconstructing least-squares algorithm for chirp signal parameters estimation

In this paper, we proposed signal reconstructing least-square (SRLS) technique for estimating the chirp rate and initial frequency of chirp signal. The technique is simplicity, accuracy, and ease of on-line or off-line implementation. At low input signal-to-noise ratio, the estimates are unbiased and achieve Cramer- Rao bound (CRB). Simulation demonstrated the effectiveness and peformance.

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