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Design optimisation of multiplier-free parallel pipelined FFT on field programmable gate array

机译:现场可编程门阵列上乘法平行管道FFT的设计优化

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摘要

Fast Fourier transform (FFT) is utilised to minimise the complexity of discrete Fourier transform by converting signals from frequency domain to time domain and conversely. Digital signal processing systems like image processing, general filtering, sonar, spread-spectrum communications and convolutions use this FFT operations. Radix-2 decimation in frequency (R2DIF) method is designed to execute an efficient FFT architecture in this study. Each and every state of the FFT stores the input and output the data using the R2DIF method. Also, the complex twiddle factors in FFT are replaced by the proposed uniform Montgomery algorithm. This technique simply performs the shift-add method instead of the multiplication process which also enhances the convergence of the calculation. So, the FFT implementation is done with the help of the proposed method which reduces the usage of chips in the process. Based on this approach, it performs the operation of FFT from 16 points to 1024 points and the performance of this proposed method is compared with existing approaches. Moreover, it does not require expensive dedicated functional blocks and uses only distributed logic resources. The simulation is carried out by the Xilinx platform using Verilog coding. The proposed design outperforms conventional methods in terms of less usage power and high speed.
机译:快速傅里叶变换(FFT)用于通过将来自频域的信号转换为时域来最小化离散傅里叶变换的复杂性。数字信号处理系统,如图像处理,通用过滤,声纳,扩频通信和卷曲使用此FFT操作。频率(R2DIF)方法的RADIX-2抽取旨在在本研究中执行高效的FFT架构。 FFT的每个状态和每个状态都使用R2DIF方法存储输入并输出数据。此外,FFT中的复杂捻纹因子由所提出的均匀蒙哥拉姆算法代替。该技术简单地执行Shift-Add方法而不是乘法过程,该方法还提高了计算的汇聚。因此,借助所提出的方法来完成FFT实现,该方法减少了过程中芯片的使用。基于这种方法,它将FFT的操作从16个点执行到1024点,并且将该提出方法的性能与现有方法进行比较。此外,它不需要昂贵的专用功能块,并且仅使用分布式逻辑资源。使用Verilog编码由Xilinx平台进行仿真。所提出的设计在较少使用功率和高速方面优于常规方法。

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