Fast Fourier Transform (FFT) processing is an important component of many Digital Signal Processing systems. We focus on applications requiring large-point FFTs (>1024), and where high-speed of operation has priority. We observe that the performance of pipelined large-point FFTs is limited due to the physical size and access times of the numerous First-in-First-out (FIFO) memories present in the design. We demonstrate the advantage of using 3D Integrated Circuit Technology to assist in memory banks interleaving and stacking, for boosting their performance. Our 3DIC design methodology involves commercial single-tier CAD tools with Perl, Python and TCL scripts to process their inputs and tie-up their single-tier outputs into a multi-tiered format. The design experiments utilize the 3-tier, 3- metal layer, fully depleted Silicon-on-Insulator 3D 0.18¿m manufacturing process from MIT Lincoln Labs. A design for an 8192-pt. FFT with 24 bits fixed-point inputs (12-bits each of real and imaginary) is proposed which uses the Radix-2/4/8 Multi-path Delay Commutator Pipelined Architecture and which can operate at 214 Mhz to give a new FFT set every 19¿s.Über den Autor:
Ambarish Mukund Sule received the Ph.D. degree in Computer Engineering from the North Carolina State University in 2007 and works as an ASIC Design and Verification Engineer at Qualcomm. William Rhett Davis received his Ph.D. in Electrical Engineering from UC, Berkeley in 2002 and is now an Associate Professor at North Carolina State University.
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