Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Investigation on Estimator of Chirp Rate and Initial Frequency of LFM Signals Based on Modified Discrete Chirp Fourier Transform
AU - Song, J.
AU - Xu, Y.
AU - Liu, Y.
AU - Zhang, Y.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - An accurate estimator of chirp rate and initial frequency of the linear frequency modulation (LFM) signals based on modified discrete chirp Fourier transform (MDCFT) is investigated in this study. The proposed algorithm consists of two banks, namely coarse search and fine search. The coarse search returns a coarse estimate of the parameter by addressing the maximum MDCFT coefficient of a LFM signal. The coarse estimate is refined by fine search algorithms, including spectrum slices and iterative interpolation methods. Compared to conventional fine search approaches, spectrum slices and iterative interpolation methods are always more efficient because they utilize more prior information about the MDCFT results, thus requiring fewer extra computations. Finally, computer simulations are conducted to evaluate the performance of our algorithms by comparison with the Cramer–Rao lower bound. The proposed estimator shows robust performance for various values of the signal parameters with the addition in the additive white Gaussian noise.
AB - An accurate estimator of chirp rate and initial frequency of the linear frequency modulation (LFM) signals based on modified discrete chirp Fourier transform (MDCFT) is investigated in this study. The proposed algorithm consists of two banks, namely coarse search and fine search. The coarse search returns a coarse estimate of the parameter by addressing the maximum MDCFT coefficient of a LFM signal. The coarse estimate is refined by fine search algorithms, including spectrum slices and iterative interpolation methods. Compared to conventional fine search approaches, spectrum slices and iterative interpolation methods are always more efficient because they utilize more prior information about the MDCFT results, thus requiring fewer extra computations. Finally, computer simulations are conducted to evaluate the performance of our algorithms by comparison with the Cramer–Rao lower bound. The proposed estimator shows robust performance for various values of the signal parameters with the addition in the additive white Gaussian noise.
KW - Interpolation
KW - Linear frequency modulation
KW - Modified discrete chirp Fourier transform
KW - Parameter estimation
KW - Spectrum slices
KW - Data reduction
KW - Fourier transforms
KW - Frequency estimation
KW - Frequency modulation
KW - Gaussian noise (electronic)
KW - Iterative methods
KW - White noise
KW - Additive White Gaussian noise
KW - Extra computations
KW - Interpolation method
KW - Linear frequency modulation signal (LFM)
KW - Modified discrete Chirp-Fourier transforms
KW - Robust performance
KW - Chirp modulation
U2 - 10.1007/s00034-019-01171-5
DO - 10.1007/s00034-019-01171-5
M3 - Journal article
VL - 38
SP - 5861
EP - 5882
JO - Circuits, Systems, and Signal Processing
JF - Circuits, Systems, and Signal Processing
SN - 0278-081X
IS - 12
ER -