Scattering Characteristic Extraction and Recovery for Multiple Targets Based on Time Frequency Analysis

2020 ◽  
Vol 35 (8) ◽  
pp. 962-970
Author(s):  
Xiangwei Liu ◽  
Jianzhou Li ◽  
Yi Zhu ◽  
Shengjun Zhang

The multi-target scattering field consists of the scattering fields of each target, but it is difficult to know the scattering characteristics of the specific target from the total scattering field. However, the scattering characteristics of single target embedded in the total scattered field have important research significance for target recognition and detection. In this paper, a method is proposed to extract and recover each target’s scattering characteristics from the total scattering field of multiple targets. The theoretical basis of the method is that the scattering echoes corresponding to different targets reach the receiver at different time. We acquire the total scattering field at first. Then, we perform the signal processing with time-frequency analysis to obtain the arrival time of different scattering echoes. According to the time slot difference, the time domain signal of each target can be extracted to recover its scattering field. Several examples validate the proposed method.

2011 ◽  
Vol 204-210 ◽  
pp. 973-978
Author(s):  
Qiang Guo ◽  
Ya Jun Li ◽  
Chang Hong Wang

To effectively detect and recognize multi-component Linear Frequency-Modulated (LFM) emitter signals, a multi-component LFM emitter signal analysis method based on the complex Independent Component Analysis(ICA) which was combined with the Fractional Fourier Transform(FRFT) was proposed. The idea which was adopted to this method was the time-domain separation and then time-frequency analysis, and in the low SNR cases, the problem which is generally plagued by noised of feature extraction of multi-component LFM signal based on FRFT is overcame. Compared to the traditional method of time-frequency analysis, the computer simulation results show that the proposed method for the multi-component LFM signal separation and feature extraction was better.


2015 ◽  
Vol 42 (1) ◽  
pp. 0114003
Author(s):  
白雪 Bai Xue ◽  
郭磐 Guo Pan ◽  
陈思颖 Chen Siying ◽  
张寅超 Zhang Yinchao ◽  
陈和 Chen He ◽  
...  

2013 ◽  
Vol 427-429 ◽  
pp. 1972-1976
Author(s):  
Guo Rong Huang ◽  
Wei Jun Zhong ◽  
Chao Wang ◽  
Yuan Pei Wu

A novel imaging approach for dispersive target electromagnetic imaging based on the time-frequency analysis is presented in this paper. On the foundation of researching the time-domain imaging principle of dispersive target, the basic theory of back projection imaging algorithm and time-frequency analysis is discussed. The sampling data obtained by simulation of target electromagnetic wave scattering which is accomplished by finite-difference time domain method (FDTD). According to the simulating data, after disposing by Wigner-Ville transfer, the sampling data is processed integral management in frequency-domain, and the imaging experiment is carried out. The experiment results show that the improved imaging arithmetic could estimate the shape of dispersive target and improve the imaging quality.


1997 ◽  
Vol 117 (3) ◽  
pp. 338-345 ◽  
Author(s):  
Masatake Kawada ◽  
Masakazu Wada ◽  
Zen-Ichiro Kawasaki ◽  
Kenji Matsu-ura ◽  
Makoto Kawasaki

2010 ◽  
Vol 30 (11) ◽  
pp. 3108-3110
Author(s):  
Xiao-ming LIU ◽  
Jian-dong WANG ◽  
Xu-dong WANG

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