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Implementation of SAR Echo Simulation Algorithm on Heterogeneous Embedded Computing Platform

机译:异构嵌入式计算平台SAR回声仿真算法的实现

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The Synthetic Aperture Radar(SAR)echo simulation is to obtain the SAR original echo signal by performing reverse operation on the pre-set SAR image.The traditional platforms used to implement the simulation algorithms like central processing unit(CPU)+ graphic processing unit(GPU)and digital signal processor(DSP)+ field programmable gate array(FPGA)have disadvantages such as high power consumption or complicated programming.In order to make up for these shortcomings,the implementation structure of the SAR echo simulation algorithm was improved to be applicable on the heterogeneous embedded platform with the basic SAR simulation algorithms digitized and decomposed.Base on the improved structure,a mobile GPU based heterogeneous computing platform with one multiprocessor system-on-chip(MPSoC)and multiple GPUs was designed to implement SAR echo simulation algorithm.The platform can simultaneously utilize the real-time nature of register transfer level(RTL)design and the ease of programming on GPU.It can achieve relatively faster computing power at lower power consumption and has the characteristics of miniaturization and mobility.
机译:合成孔径雷达(SAR)回波仿真是通过对预设的SAR图像执行反向操作来获得SAR原始回声信号。用于实现中央处理单元(CPU)+图形处理单元( GPU)和数字信号处理器(DSP)+现场可编程门阵列(FPGA)具有诸如高功耗或复杂的编程等缺点。为了弥补这些缺点,SAR回声仿真算法的实现结构得到改善适用于异构嵌入式平台,具有基本的SAR仿真算法数字化和分解,在改进的结构上,设计了一种具有一个多处理器系统(MPSOC)和多个GPU的移动GPU的异构计算平台,以实现SAR回波仿真算法。平台可以同时利用寄存器传输级别(RTL)设计的实时性质和易于编程在GPU上可以在较低的功耗下实现相对更快的计算能力,并且具有小型化和移动性的特点。

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