Design of Spectrum Processing Chiplet Based on FFT Algorithm

With the rapid development of electronic information and computer science, the fast Fourier transform (FFT) has played an increasingly important role in digital signal processing (DSP). This paper presented a spectrum processing chiplet design method to solve slow speed, low precision, and low resou...

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Main Authors: Baoping Meng, Guangbao Shan, Yanwen Zheng
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/14/2/402
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author Baoping Meng
Guangbao Shan
Yanwen Zheng
author_facet Baoping Meng
Guangbao Shan
Yanwen Zheng
author_sort Baoping Meng
collection DOAJ
description With the rapid development of electronic information and computer science, the fast Fourier transform (FFT) has played an increasingly important role in digital signal processing (DSP). This paper presented a spectrum processing chiplet design method to solve slow speed, low precision, and low resource utilization in spectrum processing of general-purpose spectrum chips and field programmable gate array (FPGA). To realize signal processing, the Radix-2 4096-point FFT algorithm with pipeline structure is used to process spectral signals extracted from the time domain. To reduce the harm caused by spectrum leakage, a windowing module is added to optimize the input data, and the clock gating unit (CGU) is used to perform low-power management on the entire clock reset. The result shows the chiplet takes 0.368 ms to complete a 4096-point frequency sweep under a clock frequency of 61.44 MHz. The chiplet significantly improves speed and accuracy in spectrum processing, which has great application potential in wireless communication.
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spelling doaj.art-40af876885974fd3bd95a3c8643a71d42023-11-16T22:11:45ZengMDPI AGMicromachines2072-666X2023-02-0114240210.3390/mi14020402Design of Spectrum Processing Chiplet Based on FFT AlgorithmBaoping Meng0Guangbao Shan1Yanwen Zheng2School of Microelectronics, Xidian University, Xi’an 710071, ChinaSchool of Microelectronics, Xidian University, Xi’an 710071, ChinaSchool of Microelectronics, Xidian University, Xi’an 710071, ChinaWith the rapid development of electronic information and computer science, the fast Fourier transform (FFT) has played an increasingly important role in digital signal processing (DSP). This paper presented a spectrum processing chiplet design method to solve slow speed, low precision, and low resource utilization in spectrum processing of general-purpose spectrum chips and field programmable gate array (FPGA). To realize signal processing, the Radix-2 4096-point FFT algorithm with pipeline structure is used to process spectral signals extracted from the time domain. To reduce the harm caused by spectrum leakage, a windowing module is added to optimize the input data, and the clock gating unit (CGU) is used to perform low-power management on the entire clock reset. The result shows the chiplet takes 0.368 ms to complete a 4096-point frequency sweep under a clock frequency of 61.44 MHz. The chiplet significantly improves speed and accuracy in spectrum processing, which has great application potential in wireless communication.https://www.mdpi.com/2072-666X/14/2/402electromagnetic spectrumspectrum processingchipletFFT
spellingShingle Baoping Meng
Guangbao Shan
Yanwen Zheng
Design of Spectrum Processing Chiplet Based on FFT Algorithm
Micromachines
electromagnetic spectrum
spectrum processing
chiplet
FFT
title Design of Spectrum Processing Chiplet Based on FFT Algorithm
title_full Design of Spectrum Processing Chiplet Based on FFT Algorithm
title_fullStr Design of Spectrum Processing Chiplet Based on FFT Algorithm
title_full_unstemmed Design of Spectrum Processing Chiplet Based on FFT Algorithm
title_short Design of Spectrum Processing Chiplet Based on FFT Algorithm
title_sort design of spectrum processing chiplet based on fft algorithm
topic electromagnetic spectrum
spectrum processing
chiplet
FFT
url https://www.mdpi.com/2072-666X/14/2/402
work_keys_str_mv AT baopingmeng designofspectrumprocessingchipletbasedonfftalgorithm
AT guangbaoshan designofspectrumprocessingchipletbasedonfftalgorithm
AT yanwenzheng designofspectrumprocessingchipletbasedonfftalgorithm