Design of FFT Processor Based on FPGA
Qian Gao
Abstract
Qian Gao
Abstract
This paper analyses and discusses the structure of fast Fourier transform(FFT).Based on the operational characteristics of FFT it proposes a new implementation method of FFT in field programmable gate array(FPGA).It employs radix-2 algorithm and cell structure design.The computation cell applies the combination of pipeline and parallel architecture and the high speed is gained.The receiver block applies the structure of ping-pang RAM which expands the system throughput.It verifies the correctness of this scheme that time-series analysis result of MAX+plusⅡ is same as simulating result of Matlab.The combination of FPGA and FFT increases the handling speed of FFT processors and expands in the field of application.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper analyses and discusses the structure of fast Fourier transform(FFT).Based on the operational characteristics of FFT it proposes a new implementation method of FFT in field programmable gate array(FPGA).It employs radix-2 algorithm and cell structure design.The computation cell applies the combination of pipeline and parallel architecture and the high speed is gained.The receiver block applies the structure of ping-pang RAM which expands the system throughput.It verifies the correctness of this scheme that time-series analysis result of MAX+plusⅡ is same as simulating result of Matlab.The combination of FPGA and FFT increases the handling speed of FFT processors and expands in the field of application.
Key concepts: Fast Fourier transform, Field-programmable gate array, Computer science, Pipeline (software), Prime-factor FFT algorithm, Split-radix FFT algorithm, MATLAB, Parallel computing