The University of Southampton
University of Southampton Institutional Repository

A linearization system for parametric array loudspeakers using the parallel cascade Volterra filter

A linearization system for parametric array loudspeakers using the parallel cascade Volterra filter
A linearization system for parametric array loudspeakers using the parallel cascade Volterra filter
The parametric array loudspeaker (PAL) is well known for its ability to radiate a narrow sound beam from a relatively small ultrasonic emitter. Nonlinear distortions commonly occur in the self-demodulated sound of the PAL. Based on the Volterra filter modeling the self-demodulation process of the PAL, a linearization system can be developed for the PAL. However, the computational complexity of the Volterra filter increases dramatically with the tap length. In this paper, the parallel cascade structure is adopted to implement the Volterra filter. The experiment results demonstrate that the computational complexity of the Volterra filter is significantly reduced by using the parallel cascade structure, and based on such an implementation of the Volterra filter, the performance of the linearization system is not compromised.
1068-1072
IEEE
Hatano, Yuta
2f6a0886-3206-441b-9493-fb57417349ce
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Kinoshita, Satoshi
53ad72aa-a6b8-4920-8068-8acb8debb970
Kajikawa, Yoshinobu
a7d32c43-f780-4ae0-884c-08fe6f70c582
Hatano, Yuta
2f6a0886-3206-441b-9493-fb57417349ce
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Kinoshita, Satoshi
53ad72aa-a6b8-4920-8068-8acb8debb970
Kajikawa, Yoshinobu
a7d32c43-f780-4ae0-884c-08fe6f70c582

Hatano, Yuta, Shi, Chuang, Kinoshita, Satoshi and Kajikawa, Yoshinobu (2015) A linearization system for parametric array loudspeakers using the parallel cascade Volterra filter. In 2015 23rd European Signal Processing Conference (EUSIPCO). IEEE. pp. 1068-1072 . (doi:10.1109/EUSIPCO.2015.7362547).

Record type: Conference or Workshop Item (Paper)

Abstract

The parametric array loudspeaker (PAL) is well known for its ability to radiate a narrow sound beam from a relatively small ultrasonic emitter. Nonlinear distortions commonly occur in the self-demodulated sound of the PAL. Based on the Volterra filter modeling the self-demodulation process of the PAL, a linearization system can be developed for the PAL. However, the computational complexity of the Volterra filter increases dramatically with the tap length. In this paper, the parallel cascade structure is adopted to implement the Volterra filter. The experiment results demonstrate that the computational complexity of the Volterra filter is significantly reduced by using the parallel cascade structure, and based on such an implementation of the Volterra filter, the performance of the linearization system is not compromised.

This record has no associated files available for download.

More information

e-pub ahead of print date: 28 December 2015
Venue - Dates: 23rd European Signal Processing Conference, EUSIPCO 2015, , Nice, France, 2015-08-31 - 2015-09-04

Identifiers

Local EPrints ID: 484148
URI: http://eprints.soton.ac.uk/id/eprint/484148
PURE UUID: 0e55e31e-6cfe-4f64-ada5-ee39944be57a
ORCID for Chuang Shi: ORCID iD orcid.org/0000-0002-1517-2775

Catalogue record

Date deposited: 10 Nov 2023 18:06
Last modified: 18 Mar 2024 04:13

Export record

Altmetrics

Contributors

Author: Yuta Hatano
Author: Chuang Shi ORCID iD
Author: Satoshi Kinoshita
Author: Yoshinobu Kajikawa

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×