ITM Web Conf.
Volume 11, 20172017 International Conference on Information Science and Technology (IST 2017)
|Number of page(s)||9|
|Section||Session VIII: Signal Processing|
|Published online||23 May 2017|
Method for Estimating the Parameters of LFM Radar Signal
School of Information and Navigation, Air Force Engineering University, Xi’an 710077, China
a Corresponding author: firstname.lastname@example.org
In order to obtain reliable estimate of parameters, it is very important to protect the integrality of linear frequency modulation (LFM) signal. Therefore, in the practical LFM radar signal processing, the length of data frame is often greater than the pulse width (PW) of signal. In this condition, estimating the parameters by fractional Fourier transform (FrFT) will cause the signal to noise ratio (SNR) decrease. Aiming at this problem, we multiply the data frame by a Gaussian window to improve the SNR. Besides, for a further improvement of parameters estimation precision, a novel algorithm is derived via Lagrange interpolation polynomial, and we enhance the algorithm by a logarithmic transformation. Simulation results demonstrate that the derived algorithm significantly reduces the estimation errors of chirp-rate and initial frequency.
© Owned by the authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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