Implementing Efficient Split-Radix FFTs in FPGAs

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Implementing Efficient Split-Radix FFTs in FPGAs Radix-2 and Radix-4 FFTs are common Many applications benefit from other lengths OFDM Transceiver, Digital Video Broadcasts, and software defined radios often require FFTs that aren t a radix-2 or radix-4 length Split-radix simplifies the logic for these applications Common Split-radix algorithms are Cooley-Tukey, Kolbe- Parks, and Good-Thomas Copyright 2003, Dillon Engineering Inc All Rights Reserved

Split-Radix FFTs Split-radix refers to combinations of two (or more) FFT engines Split-radix FFTs have a similar structure to 2D FFTs Split-radix FFTs provide bin spacing that produce better results for many applications Two split-radix approaches employed by DE: Serial (traditional) lower performance, higher memory requirements by using serial versions of both FFTs Parallel higher performance by placing larger radix FFTs in parallel and using a parallel version of the smaller radix FFT Parallel version mainly used when combining a larger FFT with a 3 or 5 point FFT, since it is feasible to use 3 or 5 large FFTs in a single device Copyright 2003, Dillon Engineering Inc All Rights Reserved

Traditional Serial Split-Radix Approach x * * * X Complex Multiplier P-Point FFT Q-Point FFT *Continuous data FFTs require enough memory to store two full copies of the data for each re-order stage Copyright 2003, Dillon Engineering Inc All Rights Reserved

Serial 768-Point Split-Radix FFT 0, 1, 2, 767 0, 1, 2, 767 P-Point FFT (256-Point) Q-Point FFT (3-Point) Copyright 2003, Dillon Engineering Inc All Rights Reserved

Serial 768-Point Split-Radix FFT (cont) 0, 1, 2, 767 0, 1, 2, 767 P-Point FFT (256-Point) Q-Point FFT (3-Point) Single engine of each radix (256-point FFT followed by 3-point FFT) Lower device utilization, with performance suitable for most applications High memory requirements for data re-ordering Speeds up to continuous data, slower data rates require less logic Same structure (with external memory) used for ultra-long FFTs Copyright 2003, Dillon Engineering Inc All Rights Reserved

Parallel 768-Point Split-Radix FFT P-Point 0, 3, 6, 765 1, 4, 7, 766 Col 0 Col 1 Col 2 Q-Point 3 FFT (Parallel) 3 Point A0 A2 A1 0, 1, 2, 255 256, 257, 511 512, 513, 767 2, 5, 8, 767 Copyright 2003, Dillon Engineering Inc All Rights Reserved

Copyright 2003, Dillon Engineering Inc All Rights Reserved Parallel 768-Point Split-Radix FFT Flow 0 3 6 765 In 1 4 7 766 2 5 8 767 3 x 256-pt on columns with rotate 0 1 2 255 256 257 258 511 512 513 514 767 256 x 3-pt FFT on rows with rotate 0 1 2 255 256 257 258 511 512 513 514 767 Out

Parallel 768-Point Split-Radix FFT (cont) P-Point 0, 3, 6, 765 1, 4, 7, 766 Col 0 Col 1 Col 2 Q-Point 3 FFT (Parallel) 3 Point A0 A2 A1 0, 1, 2, 255 256, 257, 511 512, 513, 767 2, 5, 8, 767 Combines 256-point FFT with 3-point FFT 3 x 256-point FFT executions 256 x 3-point FFT executions Eliminates the need for intermediate memory Higher resource (logic) usage as more computations are performed in parallel Very high performance perform a new 768-point FFT every 256 clock cycles (17uS @ 150 MHz) Copyright 2003, Dillon Engineering Inc All Rights Reserved

Parallel 768-Point Split-Radix FFT (cont) Vertex II Performance @ 150 MHz (18-bit Complex I/O) Type Number of Butterflies Latency (us) FFT Rate (us) Sizes Block RAM Multipliers Power (mw) Cost ($) Serial 1 2067 2042 3,562 12 4 756 290 Serial 4 1567 512 5,224 18 16 969 500 Parallel 3 696 683 4,180 24 12 974 350 Parallel 6 354 341 6,260 45 24 1,331 700 Parallel 12 184 170 11,123 75 48 1,840 1,400 Sizes : In Virtex II slices Power: Estimate via Xilinx XPower Latency: Time from last point in to first out FFT rate: Rate to input FFT data sets Cost: Based on single piece XC243000-6 from Partminercom Copyright 2003, Dillon Engineering Inc All Rights Reserved

Other Dillon Engineering Resources ParaCore Architect (parameterized core builder) DSP Algorithms Ultra-long FFTs (2k x 2k = 4M points) 2D FFTs for image processing Fixed or floating-point FFTs Floating point math library System level DSP OFDM Transceivers Radar Processing on single FPGA Image Compression/Processing FPGA-based DSP development platforms Hardware/Software SOC High speed Ethernet Appliances Linux Based SOC in FPGA MicroBlaze application Copyright 2003, Dillon Engineering Inc All Rights Reserved