Broadband Spectral Analysis Algorithm with High-Frequency Resolution for Elimination of Overlap Interference between Adjacent Channels

Spectral lines can be analysed to determine the physical properties of molecular clouds and the astrochemical processes in the formation area of massive stars. To improve the observation technology of radio astronomy, this paper proposes and compares two spectral analysis algorithms (improved weight...

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Autores principales:	Xianhai Wang, Teng Wang, Chuan Yin, Jun Han, Qiao Meng, Chen Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	channelisation polyphase filter bank WOLA filter bank IWOLA filter bank Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/e3b31996965c4284a71bcaecca57c99a
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spelling	oai:doaj.org-article:e3b31996965c4284a71bcaecca57c99a2021-11-11T15:18:04ZBroadband Spectral Analysis Algorithm with High-Frequency Resolution for Elimination of Overlap Interference between Adjacent Channels10.3390/app1121102622076-3417https://doaj.org/article/e3b31996965c4284a71bcaecca57c99a2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10262https://doaj.org/toc/2076-3417Spectral lines can be analysed to determine the physical properties of molecular clouds and the astrochemical processes in the formation area of massive stars. To improve the observation technology of radio astronomy, this paper proposes and compares two spectral analysis algorithms (improved weighted overlap-add (IWOLA) + FFT and IWOLA + weighted overlap-add (WOLA)). The proposed algorithms can obtain an ultra-high-frequency resolution for real-valued wideband signals, eliminate the signal overlapping interference between adjacent channels, substantially decrease the required hardware resources, especially multipliers, adders, and memory resources, and reduce the system design complexity. The IWOLA + FFT algorithm consists of an improved weighted overlap-add (IWOLA) filter bank, fast Fourier transform (FFT), a specific decimation for the output data from the IWOLA filter bank, and a selection for part of the output data from the FFT. The IWOLA + WOLA algorithm consists of the same modules as the IWOLA + FFT algorithm, with the second-stage FFT replaced by the modules of the weighted overlap-add (WOLA) filter bank and the accumulation for each sub-band. Based on an analysis of the underlying principles and characteristics of both algorithms, the IWOLA + FFT algorithm demonstrated a spectrum with a high frequency resolution and a comparable performance to an ultra-large-scale FFT, based on two smaller FFTs and a flexible architecture instead of a ultra-large-scale FFT. The IWOLA + WOLA algorithm contains the same function as the IWOLA + FFT algorithm and demonstrates a higher performance. The proposed algorithms eliminated the interference between the adjacent channels within the entire Nyquist frequency bandwidth. The simulation results verify the accuracy and spectral analysis performances of the proposed algorithms.Xianhai WangTeng WangChuan YinJun HanQiao MengChen WangMDPI AGarticlechannelisationpolyphase filter bankWOLA filter bankIWOLA filter bankTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10262, p 10262 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	channelisation polyphase filter bank WOLA filter bank IWOLA filter bank Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	channelisation polyphase filter bank WOLA filter bank IWOLA filter bank Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Xianhai Wang Teng Wang Chuan Yin Jun Han Qiao Meng Chen Wang Broadband Spectral Analysis Algorithm with High-Frequency Resolution for Elimination of Overlap Interference between Adjacent Channels
description	Spectral lines can be analysed to determine the physical properties of molecular clouds and the astrochemical processes in the formation area of massive stars. To improve the observation technology of radio astronomy, this paper proposes and compares two spectral analysis algorithms (improved weighted overlap-add (IWOLA) + FFT and IWOLA + weighted overlap-add (WOLA)). The proposed algorithms can obtain an ultra-high-frequency resolution for real-valued wideband signals, eliminate the signal overlapping interference between adjacent channels, substantially decrease the required hardware resources, especially multipliers, adders, and memory resources, and reduce the system design complexity. The IWOLA + FFT algorithm consists of an improved weighted overlap-add (IWOLA) filter bank, fast Fourier transform (FFT), a specific decimation for the output data from the IWOLA filter bank, and a selection for part of the output data from the FFT. The IWOLA + WOLA algorithm consists of the same modules as the IWOLA + FFT algorithm, with the second-stage FFT replaced by the modules of the weighted overlap-add (WOLA) filter bank and the accumulation for each sub-band. Based on an analysis of the underlying principles and characteristics of both algorithms, the IWOLA + FFT algorithm demonstrated a spectrum with a high frequency resolution and a comparable performance to an ultra-large-scale FFT, based on two smaller FFTs and a flexible architecture instead of a ultra-large-scale FFT. The IWOLA + WOLA algorithm contains the same function as the IWOLA + FFT algorithm and demonstrates a higher performance. The proposed algorithms eliminated the interference between the adjacent channels within the entire Nyquist frequency bandwidth. The simulation results verify the accuracy and spectral analysis performances of the proposed algorithms.
format	article
author	Xianhai Wang Teng Wang Chuan Yin Jun Han Qiao Meng Chen Wang
author_facet	Xianhai Wang Teng Wang Chuan Yin Jun Han Qiao Meng Chen Wang
author_sort	Xianhai Wang
title	Broadband Spectral Analysis Algorithm with High-Frequency Resolution for Elimination of Overlap Interference between Adjacent Channels
title_short	Broadband Spectral Analysis Algorithm with High-Frequency Resolution for Elimination of Overlap Interference between Adjacent Channels
title_full	Broadband Spectral Analysis Algorithm with High-Frequency Resolution for Elimination of Overlap Interference between Adjacent Channels
title_fullStr	Broadband Spectral Analysis Algorithm with High-Frequency Resolution for Elimination of Overlap Interference between Adjacent Channels
title_full_unstemmed	Broadband Spectral Analysis Algorithm with High-Frequency Resolution for Elimination of Overlap Interference between Adjacent Channels
title_sort	broadband spectral analysis algorithm with high-frequency resolution for elimination of overlap interference between adjacent channels
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e3b31996965c4284a71bcaecca57c99a
work_keys_str_mv	AT xianhaiwang broadbandspectralanalysisalgorithmwithhighfrequencyresolutionforeliminationofoverlapinterferencebetweenadjacentchannels AT tengwang broadbandspectralanalysisalgorithmwithhighfrequencyresolutionforeliminationofoverlapinterferencebetweenadjacentchannels AT chuanyin broadbandspectralanalysisalgorithmwithhighfrequencyresolutionforeliminationofoverlapinterferencebetweenadjacentchannels AT junhan broadbandspectralanalysisalgorithmwithhighfrequencyresolutionforeliminationofoverlapinterferencebetweenadjacentchannels AT qiaomeng broadbandspectralanalysisalgorithmwithhighfrequencyresolutionforeliminationofoverlapinterferencebetweenadjacentchannels AT chenwang broadbandspectralanalysisalgorithmwithhighfrequencyresolutionforeliminationofoverlapinterferencebetweenadjacentchannels
_version_	1718435592551792640

Broadband Spectral Analysis Algorithm with High-Frequency Resolution for Elimination of Overlap Interference between Adjacent Channels

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