This paper proposes a
fast and accurate chirp-rate estimation algorithm in noisy environment. The
proposed method searches the inverse maximum magnitude of the angle-sweep
fractional Fourier domain and finds the optimum angle, which provides an
estimate for the chirp-rate. In order to accelerate the search process, we
propose to use the Fibonacci search algorithm, which provides a sub-optimal
search scheme in terms of computational complexity. Simulation results show the
efficiency of the proposed algorithm.
Fractional Fourier transform chirp-rate linear frequency modulated signals estimation Cramer-Rao lower bound
Journal Section | Araştırma Articlessi |
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Authors | |
Publication Date | February 15, 2018 |
Published in Issue | Year 2018 Volume: 6 Issue: 1 |
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