Parameter Estimation Method of the Non-Cooperative Radar Target Based on Fractional Fourier Transform

2013 ◽  
Vol 333-335 ◽  
pp. 611-615
Author(s):  
Hua Ling Guo ◽  
Bin Zheng ◽  
Li Ping Liu
Keyword(s):  
Fourier Transform ◽  
Parameter Estimation ◽  
Frequency Modulation ◽  
High Speed ◽  
Fractional Fourier Transform ◽  
Estimation Method ◽  
Doppler Imaging ◽  
Low Snr ◽  
Parameter Estimation Method

To solve the effect of the range imaging broadening, the speed estimation of high-speed non-cooperative target of inverse synthetic aperture lidar translated for the estimation of the frequency modulation slope. A parameter estimation method of fractional Fourier transform (FRFT) was presented. This method could effectively estimate the frequency modulation slope. Under low SNR, the error of the estimate was less than 0.03. The research laid the foundation for velocity compensation and 2-D range-Doppler imaging of the follow-up.

Parameter Estimation and Restoration of Motion-Blurred Images

2012 ◽  
Vol 239-240 ◽  
pp. 1138-1141
Author(s):  
Pei Zhi Wen ◽  
Kai Guo ◽  
Li Fang Li
Keyword(s):  
Image Processing ◽  
Fourier Transform ◽  
Parameter Estimation ◽  
Image Restoration ◽  
Estimation Method ◽  
Parameter Estimation Method ◽  
Length Estimation ◽  
Blurred Image ◽  
Blurred Images

The motion-blurred image restoration has been the difficulty of the field of image processing. In this paper, proposed a motion-blurred length method based on Fourier transform of the parameter estimation method. The method improved the accuracy of the blurred length estimation. The method improved the effect of the motion-blurred image restoration. The experiments verified that the accuracy and feasibility of the method proposed.

scholarly journals A Blind Parameter Estimation Method of Frequency Hopping Signal with Low SNR

2021 ◽  
Vol 15 ◽  
pp. 248-253
Author(s):  
Zengke Wang ◽  
Yi Li ◽  
Wei Xu
Keyword(s):  
Parameter Estimation ◽  
Simulation Experiment ◽  
Signal To Noise Ratio ◽  
Estimation Method ◽  
Frequency Hopping ◽  
Cross Term ◽  
Low Snr ◽  
Parameter Estimation Method ◽  
Estimate Frequency ◽  
Blind Parameter Estimation

In order to effectively estimate the parameters of the frequency hopping signals under low signal-to-noise ratio (SNR), a blind parameter estimation method based on the modified discrete time Wigner-Ville distribution (MDTWVD) is proposed. We choose a low order Chebyshev polynomial as the kernel function for reducing the cross-term. Then, the parameters of the frequency hopping signals are finally obtained from the MDTWVD. The simulation experiment results show that the method used in this paper can effectively and accurately estimate frequency hopping signals parameters, especially under low SNR condition compared with other estimating methods.

A Parameter Estimation Method for Poly-Phase Coded Signal Based on the Modified Fractional Fourier Transform

2012 ◽  
Vol 588-589 ◽  
pp. 715-718
Author(s):  
Guo Yi Zhang ◽  
Xu Zhou Zhang ◽  
Jia Na Li
Keyword(s):  
Fourier Transform ◽  
Parameter Estimation ◽  
Fractional Fourier Transform ◽  
Signal To Noise Ratio ◽  
Computational Cost ◽  
Estimation Method ◽  
Wigner Transform ◽  
Signal To Noise ◽  
Quadratic Phase ◽  
Estimate Frequency

To estimate parameters of poly-phase coded radar signals, a modified Fractional Fourier transform (FrFT) is advanced. This algorithm employs Integrated Quadratic Phase function (IQPF) to estimate frequency rate with which the best degree for Frft is computed. Its computational cost is lower than that of Radon-Wigner transform (RWT) and Radon-Ambiguity transform (RAT). When the signal-to-noise ratio (SNR) is -7 dB, Simulations show its parameter estimation performance closes to the Cramer-Rao Lower Bounds (CRLB).

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