Robust Room Impulse Response Measurement Using Perfect Periodic Sequences for Wiener Nonlinear Filters

The paper discusses a measurement approach for the room impulse response (RIR), which is insensitive to the nonlinearities that affect the measurement instruments. The approach employs as measurement signals the perfect periodic sequences for Wiener nonlinear (WN) filters. Perfect periodic sequences...

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Main Authors: Alberto Carini, Stefania Cecchi, Simone Orcioni
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/11/1793
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spelling doaj-1a236b46132a420b9262500e6318b1f72020-11-25T04:02:15ZengMDPI AGElectronics2079-92922020-10-0191793179310.3390/electronics9111793Robust Room Impulse Response Measurement Using Perfect Periodic Sequences for Wiener Nonlinear FiltersAlberto Carini0Stefania Cecchi1Simone Orcioni2Department of Engineering and Architecture, University of Trieste, 34127 Trieste, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, 60131 Ancona, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, 60131 Ancona, ItalyThe paper discusses a measurement approach for the room impulse response (RIR), which is insensitive to the nonlinearities that affect the measurement instruments. The approach employs as measurement signals the perfect periodic sequences for Wiener nonlinear (WN) filters. Perfect periodic sequences (PPSs) are periodic sequences that guarantee the perfect orthogonality of a filter basis functions over a period. The PPSs for WN filters are appealing for RIR measurement, since their sample distribution is almost Gaussian and provides a low excitation to the highest amplitudes. RIR measurement using PPSs for WN filters is studied and its advantages and limitations are discussed. The derivation of PPSs for WN filters suitable for RIR measurement is detailed. Limitations in the identification given by the underestimation of RIR memory, order of nonlinearity, and effect of measurement noise are analysed and estimated. Finally, experimental results, which involve both simulations using signals affected by real nonlinear devices and real RIR measurements in the presence of nonlinearities, compare the proposed approach with the ones that are based on PPSs for Legendre nonlinear filter, maximal length sequences, and exponential sweeps.https://www.mdpi.com/2079-9292/9/11/1793room impulse responsewiener nonlinear filtersperfect periodic sequencescross-correlation method
collection DOAJ
language English
format Article
sources DOAJ
author Alberto Carini
Stefania Cecchi
Simone Orcioni
spellingShingle Alberto Carini
Stefania Cecchi
Simone Orcioni
Robust Room Impulse Response Measurement Using Perfect Periodic Sequences for Wiener Nonlinear Filters
Electronics
room impulse response
wiener nonlinear filters
perfect periodic sequences
cross-correlation method
author_facet Alberto Carini
Stefania Cecchi
Simone Orcioni
author_sort Alberto Carini
title Robust Room Impulse Response Measurement Using Perfect Periodic Sequences for Wiener Nonlinear Filters
title_short Robust Room Impulse Response Measurement Using Perfect Periodic Sequences for Wiener Nonlinear Filters
title_full Robust Room Impulse Response Measurement Using Perfect Periodic Sequences for Wiener Nonlinear Filters
title_fullStr Robust Room Impulse Response Measurement Using Perfect Periodic Sequences for Wiener Nonlinear Filters
title_full_unstemmed Robust Room Impulse Response Measurement Using Perfect Periodic Sequences for Wiener Nonlinear Filters
title_sort robust room impulse response measurement using perfect periodic sequences for wiener nonlinear filters
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2020-10-01
description The paper discusses a measurement approach for the room impulse response (RIR), which is insensitive to the nonlinearities that affect the measurement instruments. The approach employs as measurement signals the perfect periodic sequences for Wiener nonlinear (WN) filters. Perfect periodic sequences (PPSs) are periodic sequences that guarantee the perfect orthogonality of a filter basis functions over a period. The PPSs for WN filters are appealing for RIR measurement, since their sample distribution is almost Gaussian and provides a low excitation to the highest amplitudes. RIR measurement using PPSs for WN filters is studied and its advantages and limitations are discussed. The derivation of PPSs for WN filters suitable for RIR measurement is detailed. Limitations in the identification given by the underestimation of RIR memory, order of nonlinearity, and effect of measurement noise are analysed and estimated. Finally, experimental results, which involve both simulations using signals affected by real nonlinear devices and real RIR measurements in the presence of nonlinearities, compare the proposed approach with the ones that are based on PPSs for Legendre nonlinear filter, maximal length sequences, and exponential sweeps.
topic room impulse response
wiener nonlinear filters
perfect periodic sequences
cross-correlation method
url https://www.mdpi.com/2079-9292/9/11/1793
work_keys_str_mv AT albertocarini robustroomimpulseresponsemeasurementusingperfectperiodicsequencesforwienernonlinearfilters
AT stefaniacecchi robustroomimpulseresponsemeasurementusingperfectperiodicsequencesforwienernonlinearfilters
AT simoneorcioni robustroomimpulseresponsemeasurementusingperfectperiodicsequencesforwienernonlinearfilters
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