Author(s):  
Yixiong Zhang ◽  
Rujia Hong ◽  
Cheng-Fu Yang ◽  
Yunjian Zhang ◽  
Zhenmiao Deng ◽  
...  

In wideband radar systems, the performance of motion parameters estimation can significantly affect the performance of object detection and the quality of inverse synthetic aperture radar (ISAR) imaging. Although the traditional motion parameters estimation methods can reduce the range migration (RM) and Doppler frequency migration (DFM) effects in ISAR imaging, the computational complexity is high. In this paper, we propose a new fast non-searching motion parameters estimation method based on cross-correlation of adjacent echoes (CCAE) for wideband LFM signals. A cross-correlation operation is carried out for two adjacent echo signals, then the motion parameters can be calculated by estimating the frequency of the correlation result. The proposed CCAE method can be applied directly to the stretching system, which is commonly adopted in wideband radar systems. Simulational results demonstrate that the new method can achieve better estimation performances, with much lower computational cost, compared with existing methods. The experimental results on real radar data sets are also evaluated to verify the effectiveness and superiority of the proposed method compared to the state-of-the-art existing methods.


2020 ◽  
Vol 2020 (11) ◽  
Author(s):  
S.I. Moryakov ◽  
◽  
S.M. Nesterov ◽  
I.A. Skorodumov ◽  
◽  
...  

Modern wideband radar systems makes possible to obtain high resolution inverse synthetic aperture radar images of objects. One of the difficult actual approaches in radar test facilities is wide angle autofocusing processing. This paper proposed a recommendations to wide angle (above 10 degrees) inverse synthetic image autofocusing processing based on dividing a large angle sector into several small sections. Also proposed an experimental results of autofocusing processing in 30° and 60° angle sector.


2019 ◽  
pp. 13-18
Author(s):  
E. L. Kapylov ◽  
V. V. Neyolov ◽  
A. A. Samorodov

In civil and special application radar systems broadband radar technologies are widespread. Electrodynamic computer simulation is used for development of modern radar systems. It’s important to study new effective ways of detailed radar image analysis for automatic radar identification. The conventional approach to a radar imaging and a data visualization is based on the Fourier transform method. This method has restrictions and it’s hard to identify close scattering centers because of a fan‑shaped structure. The paper considers a spectral evaluation method based on eigen value analysis of autocorrelation data matrix for processing broadband radar data. Radar length and intensity of scattering centers of a radar target are evaluated by MUSIC method. The main advantage is an ability to identify scattering centers within one resolution element (resel). In order to demonstrate the ability of the developed method broadband frequency characteristics of two typical radar targets are calculated. Intensity and relative distance of scattering center can be more over evaluated with a high accuracy. Stability testing of results to white noise is given.


1977 ◽  
Author(s):  
C. S. Tsai ◽  
Le T. Nguyen ◽  
B. Kim ◽  
I. W. Yao

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