Adaptive algorithm for chirp-rate estimation

Authors:
Igor Djurovic;Cornel Ioana;Ljubiša Stankovic;Pu Wang
Affiliations:
Electrical Engineering Department, University of Montenegro, Podgorica, Montenegro;Gipsa Lab, INP Grenoble, Grenoble, France;Electrical Engineering Department, University of Montenegro, Podgorica, Montenegro;Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ
Venue:
EURASIP Journal on Advances in Signal Processing
Year:
2009

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Abstract

Chirp-rate, as a second derivative of signal phase, is an important feature of nonstationary signals in numerous applications such as radar, sonar, and communications. In this paper, an adaptive algorithm for the chirp-rate estimation is proposed. It is based on the confidence intervals rule and the cubic-phase function. The window width is adaptively selected to achieve good tradeoff between bias and variance of the chirp-rate estimate. The proposed algorithm is verified by simulations and the results show that it outperforms the standard algorithm with fixed window width.