Detection and estimation of chirp signals using state space representation

A novel approach for detecting and estimating chirp signals is presented. Based on the state space representation method of circuits and systems, a three-point nonlinear recursive equation which describes chirp signals is obtained. A sliding window least square estimate of both the carrier frequency...

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Bibliographic Details
Main Authors: Nashat, A.A., Ludeman, L.C.
Format: Conference Proceeding
Language:English
Subjects:
Additive white noise
AWGN
Bandwidth
Chirp
Circuits and systems
Frequency estimation
Least squares approximation
Nonlinear equations
State estimation
State-space methods
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Summary:A novel approach for detecting and estimating chirp signals is presented. Based on the state space representation method of circuits and systems, a three-point nonlinear recursive equation which describes chirp signals is obtained. A sliding window least square estimate of both the carrier frequency and the bandwidth, in an AWGN (additive white Gaussian noise) and a Rayleigh fading channel (RFC), are obtained using these results. Also, an autoregressive detector for a chirp signal in a RFC is developed.< >
DOI:10.1109/ISCAS.1992.230188