Abstract
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.
Keywords
Chirp
Algorithm
SIGNAL (programming language)
Computational complexity theory
Frequency domain
Fourier transform
Inverse
Computer science
Inverse problem
Mathematical optimization
Process (computing)
Mathematics
Optics
Physics
Mathematical analysis
Computer vision
Subject Areas
Advanced SAR Imaging Techniques
·Aerospace Engineering ·Physical Sciences
Underwater Acoustics Research
·Oceanography ·Physical Sciences
Radar Systems and Signal Processing
·Aerospace Engineering ·Physical Sciences
Citations by Year
2019: 1
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