Performance analysis of multi-rate signal processing digital filters on FPGA

Abstract Multi-rate signal processing, an important part of the design of a digital frequency converter, is realized mainly based on interpolation and decimation, which match the sampling rate between the baseband and high-frequency processing side, especially in down conversion. However, the design...

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Main Authors: Qingfeng Jing, Yujia Li, Jincheng Tong
Format: Article
Language:English
Published: SpringerOpen 2019-02-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
CIC
Online Access:http://link.springer.com/article/10.1186/s13638-019-1349-9
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spelling doaj-1adc6decf49748359e42f0d151be68d72020-11-25T02:27:38ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992019-02-01201911910.1186/s13638-019-1349-9Performance analysis of multi-rate signal processing digital filters on FPGAQingfeng Jing0Yujia Li1Jincheng Tong2College of Astronautics, Nanjing University of Aeronautics and AstronauticsCollege of Astronautics, Nanjing University of Aeronautics and AstronauticsInstitute of Telecommunication Satellite, China Academy of Space TechnologyAbstract Multi-rate signal processing, an important part of the design of a digital frequency converter, is realized mainly based on interpolation and decimation, which match the sampling rate between the baseband and high-frequency processing side, especially in down conversion. However, the design of a digital filter is important for realizing multi-rate interpolation and decimation, which is highlighted in this paper. To analyze the digital filter performance in multi-rate signal processing, the ordinary finite impulse response (FIR) filter and more efficient digital filter are discussed respectively. The ordinary FIR filters use a Hamming window to design, while a more efficient digital filter includes a cascaded integrate comb (CIC) and half-band filter. Sampling rate transformation factor is 12 in this design, which is cascaded by three stages. Each stage corresponding to the conversion factor is 3, 2, and 2. Both of these design methods are implemented on the FPGA development board. The hardware resource occupancy and the error rate of the signal amplitude in decimation show that the efficient digital filter is superior to the digital filter designed by the Hamming window in the real-time processing.http://link.springer.com/article/10.1186/s13638-019-1349-9Multi-rate signal processingDecimationHamming window FIR filterCICHalf-band filterFPGA
collection DOAJ
language English
format Article
sources DOAJ
author Qingfeng Jing
Yujia Li
Jincheng Tong
spellingShingle Qingfeng Jing
Yujia Li
Jincheng Tong
Performance analysis of multi-rate signal processing digital filters on FPGA
EURASIP Journal on Wireless Communications and Networking
Multi-rate signal processing
Decimation
Hamming window FIR filter
CIC
Half-band filter
FPGA
author_facet Qingfeng Jing
Yujia Li
Jincheng Tong
author_sort Qingfeng Jing
title Performance analysis of multi-rate signal processing digital filters on FPGA
title_short Performance analysis of multi-rate signal processing digital filters on FPGA
title_full Performance analysis of multi-rate signal processing digital filters on FPGA
title_fullStr Performance analysis of multi-rate signal processing digital filters on FPGA
title_full_unstemmed Performance analysis of multi-rate signal processing digital filters on FPGA
title_sort performance analysis of multi-rate signal processing digital filters on fpga
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1499
publishDate 2019-02-01
description Abstract Multi-rate signal processing, an important part of the design of a digital frequency converter, is realized mainly based on interpolation and decimation, which match the sampling rate between the baseband and high-frequency processing side, especially in down conversion. However, the design of a digital filter is important for realizing multi-rate interpolation and decimation, which is highlighted in this paper. To analyze the digital filter performance in multi-rate signal processing, the ordinary finite impulse response (FIR) filter and more efficient digital filter are discussed respectively. The ordinary FIR filters use a Hamming window to design, while a more efficient digital filter includes a cascaded integrate comb (CIC) and half-band filter. Sampling rate transformation factor is 12 in this design, which is cascaded by three stages. Each stage corresponding to the conversion factor is 3, 2, and 2. Both of these design methods are implemented on the FPGA development board. The hardware resource occupancy and the error rate of the signal amplitude in decimation show that the efficient digital filter is superior to the digital filter designed by the Hamming window in the real-time processing.
topic Multi-rate signal processing
Decimation
Hamming window FIR filter
CIC
Half-band filter
FPGA
url http://link.springer.com/article/10.1186/s13638-019-1349-9
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AT yujiali performanceanalysisofmultiratesignalprocessingdigitalfiltersonfpga
AT jinchengtong performanceanalysisofmultiratesignalprocessingdigitalfiltersonfpga
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