A parameter estimation method for time-frequency-overlapped frequency hopping signals based on sparse linear regression and quadratic envelope optimization

2020 ◽  
Vol 33 (12) ◽  
pp. e4463
Author(s):  
Liandong Wang ◽  
Zhipeng Liu ◽  
Yuntian Feng ◽  
Xiaoguang Liu ◽  
Xiong Xu ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Linear Regression ◽  
Estimation Method ◽  
Frequency Hopping ◽  
Time Frequency ◽  
Parameter Estimation Method

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.

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