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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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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