A new method of radar target recognition based on time-frequency analysis

Author(s):  
Weixing Sheng ◽  
Kang Pan ◽  
Fang Wang ◽  
Xiaofeng Ma ◽  
Hao Wang
1995 ◽  
Author(s):  
Christopher J. McCormack ◽  
Valdis V. Liepa ◽  
William J. Williams

2013 ◽  
Vol 805-806 ◽  
pp. 1962-1965 ◽  
Author(s):  
Hui Xing Zhang ◽  
Jie Li ◽  
Qi Lin ◽  
Jian Zhi Qu ◽  
Qi Zheng Yang

Time-frequency analysis is a powerful tool for analyzing non-stationary signals, which can describe the signals frequency varying with time and provide us the joint information of time domain and frequency domain of the signal. We use a synthetic signal to realize the time-frequency analysis methods of wavelet transform, S transform and Wigner-Ville distribution. Through comparing and analyzing those time-frequency distributions, we propose a new method of integrating wavelet transform and Wigner-Ville distribution. This new method gives a better result than that of wavelet transform and Wigner-Ville distribution and increases the time-frequency resolution.


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