scholarly journals Joint Multichannel Motion Compensation Method for MIMO SAR 3D Imaging

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Ze-min Yang ◽  
Meng-dao Xing ◽  
Guang-cai Sun ◽  
Zheng Bao
Keyword(s):  
Motion Compensation ◽  
Rotational Motion ◽  
3D Imaging ◽  
Single Channel ◽  
Translational Motion ◽  
Multiple Input Multiple Output ◽  
Compensation Method ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Imaging Simulation

The multiple-input-multiple-output (MIMO) synthetic aperture radar (SAR) system with a linear antenna array can obtain 3D resolution. In practice, it suffers from both the translational motion errors and the rotational motion errors. Conventional single-channel motion compensation methods could be used to compensate the motion errors channel by channel. However, this method might not be accurate enough for all the channels. What is more, the single-channel compensation may break the coherence among channels, which would cause defocusing and false targets. In this paper, both the translational motion errors and the rotational motion errors are discussed, and a joint multichannel motion compensation method is proposed for MIMO SAR 3D imaging. It is demonstrated through simulations that the proposed method exceeds the conventional methods in accuracy. And the final MIMO SAR 3D imaging simulation confirms the validity of the proposed algorithm.

scholarly journals General Signal Model for Multiple-Input Multiple-Output GMTI Radar

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2576 ◽  
Author(s):  
Fuyou Li ◽  
Feng He ◽  
Zhen Dong ◽  
Manqing Wu ◽  
Yongsheng Zhang
Keyword(s):  
Multiple Access ◽  
Multiple Input Multiple Output ◽  
Compensation Method ◽  
Fast Time ◽  
Signal Model ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Improved Performance ◽  
Code Division Multiple ◽  
Time Division

Multiple-input multiple-output (MIMO) ground moving target indication (GMTI) radar has been studied recently because of its excellent performance. In this paper, a general signal model is established for the MIMO GMTI radar with both fast-time and slow-time waveforms. The general signal model can be used to evaluate the performance of the MIMO GMTI radar with arbitrary waveforms such as the ideal orthogonal, code division multiple access (CDMA), frequency-division multiple access (FDMA), time division multiple access (TDMA), and Doppler division multiple access (DDMA) waveforms. We proposed a range-compensation method to eliminate the range-dependence of the FDMA waveforms. The simulation results indicate that the improved performance of FDMA waveforms is achieved utilizing the range-compensation method.

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