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A Novel Implementation of FPGA Based Finite Difference Time Domain (FDTD) Technique for Two Dimensional Objects

机译:基于FPGA的二维物体的FPGA有限差分时域(FDTD)技术的新颖实现

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Finite-difference time-domain (FDTD) is a versatile modeling technique which employs finite differences as approximations to both spatial and temporal derivatives. It is a numerical analysis technique used for modeling electrodynamics. The FDTD modeling is applied in wide range of applications such as biomedical imaging and biomedical treatment. In investigating the propagation, scattering and radiation of electromagnetic waves, the FDTD is used as a powerful tool. In this paper, we implemented 2D FDTD algorithm in Xilinx ISE platform by using Absorbing Boundary Conditions and Sinusoidal input as an exciting source. We have developed Synthesizable 2D-FDTD algorithm using fixed-point arithmetic. Synthesis and simulation are carried out on Virtex-5 FPGA and Analog Devices -BLACKFIN-533 target devices. It is experimentally found that proposed FPGA realization is 55.55% faster than that of DSP implementation.
机译:有限差分时间域(FDTD)是一种多功能建模技术,其采用有限差异作为空间和时间衍生物的近似。它是一种用于建模电动力学的数值分析技术。 FDTD建模适用于各种应用,例如生物医学成像和生物医学处理。在研究电磁波的传播,散射和辐射时,FDTD用作强大的工具。在本文中,我们通过使用吸收边界条件和正弦输入作为令人兴奋的源来实现Xilinx ISE平台的2D FDTD算法。我们使用定点算法开发了合成的2D-FDTD算法。在Virtex-5 FPGA和模拟设备上进行的合成和仿真-Blackfin-533靶器件。实验发现,提出的FPGA实现比DSP实施的速度快55.55%。

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