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Airborne Downward Looking Sparse Linear Array 3-D SAR Heterogeneous Parallel Simulation

Xueming Peng, Yanping Wang, Wen Hong, Weixian Tan, Yirong Wu
Science and Technology on Microwave Imaging Laboratory (MITL), Institute of Electronics, Chinese Academy of Sciences (IECAS), No. 19, North 4th Ring West, Beijing 100190, China
Remote Sensing, 5(10), 5304-5329, 2013

@article{peng2013airborne,

   title={Airborne Downward Looking Sparse Linear Array 3-D SAR Heterogeneous Parallel Simulation},

   author={Peng, Xueming and Wang, Yanping and Hong, Wen and Tan, Weixian and Wu, Yirong},

   journal={Remote Sensing},

   volume={5},

   number={10},

   pages={5304–5329},

   year={2013},

   publisher={Multidisciplinary Digital Publishing Institute}

}

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The airborne downward looking sparse linear array three dimensional synthetic aperture radar (DLSLA 3-D SAR) operates nadir observation with the along-track synthetic aperture formulated by platform movement and the cross-track synthetic aperture formulated by physical sparse linear array. Considering the lack of DLSLA 3-D SAR data in the current preliminary study stage, it is very important and essential to develop DLSLA 3-D SAR simulation (echo generation simulation and image reconstruction simulation, including point targets simulation and 3-D distributed scene simulation). In this paper, DLSLA 3-D SAR imaging geometry, the echo signal model and the heterogeneous parallel technique are discussed first. Then, heterogeneous parallel echo generation simulation with time domain correlation and the frequency domain correlation method is described. In the following, heterogeneous parallel image reconstruction simulation with two imaging algorithms, e.g., 3-D polar format algorithm, polar formatting and L1 regularization algorithm is discussed. Finally, the point targets and the 3-D distributed scene simulation are demonstrated to validate the effectiveness and performance of our proposed heterogeneous parallel simulation technique. The 3-D distributed scene employs airborne X-band DEM and P-band Circular SAR image of the same area as simulation scene input.
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