A new expandable 2D systolic array for DFT computation based on symbiosis of 1D arrays

S. He, M. Torkelson
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引用次数: 7

Abstract

A new expandable 2-dimensional systolic array consisting of N homogeneous processing elements in a rectangular structure to compute DFT is proposed. A DFT of size N=M/sup 2/ can be computed in 2M steps of pipelined operations, achieving the optimal area-time complexity of AT/sup 2/=O(N/sup 2/). The orthogonal pipelining of the processing is obtained by exploiting the symbiosis between 1-dimensional systolic arrays of H.T. Kung (1980) and L.W. Chang and M.Y. Chen (1988). Compared with another 2D array based on "sandwiched" triple matrix product, the presented approach integrates the twiddle factor multiplication into the row transform. This not only reduces computational complexity and the size of coefficient matrix, but also eliminates the twiddle factor preloading procedure. DFT of size 2/sup L/N can be readily computed with 2/sup L/ N-size arrays abutted together. VHDL modules have been written and successfully simulated for the proposed architecture.<>
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基于一维阵列共生的可扩展二维收缩阵列
提出了一种由矩形结构中N个齐次处理单元组成的可扩展二维收缩阵列来计算DFT。一个大小为N=M/sup 2/的DFT可以在流水线作业的2M步中计算,达到AT/sup 2/=O(N/sup 2/)的最优区域时间复杂度。利用龚洪涛(1980)和张立文、陈明义(1988)的一维收缩阵列之间的共生关系,得到了处理的正交流水线。与另一种基于“夹心”三重矩阵积的二维阵列相比,该方法将中间因子乘法集成到行变换中。这不仅降低了计算复杂度和系数矩阵的大小,而且消除了中间因子预加载过程。2/sup L/N大小的DFT可以很容易地计算2/sup L/N大小的数组在一起。针对所提出的体系结构编写了VHDL模块并成功地进行了仿真。
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