RMIT University
Browse

Fast & Efficient Delay Estimation Using Local All-Pass & Kalman Filters

conference contribution
posted on 2024-11-03, 12:53 authored by Beth Jelfs, Christopher Gilliam
Delay estimation is a common problem in signal processing which becomes particularly challenging when the delay is time-varying and the recorded signals are non-stationary. While methods for time-varying delay (TVD) estimation exist many of these are based on maximum likelihood estimation and thus are not well suited to real-time implementation. In this paper we present a method for TVD estimation which is suitable for real-time non-stationary applications. The proposed method combines local all-pass (LAP) filters with a Kalman filter. By using measurement fusion to combine the outputs of several LAP filters in the Kalman filter we can accurately track TVDs whilst allowing for fast and efficient parallel computation. Illustrative simulations demonstrate the effectiveness of the proposed approach.

History

Start page

1533

End page

1539

Total pages

7

Outlet

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2019)

Name of conference

APSIPA ASC 2019

Publisher

IEEE

Place published

United States

Start date

2019-11-18

End date

2019-11-21

Language

English

Copyright

© 2020 IEEE

Former Identifier

2006102099

Esploro creation date

2020-10-30

Usage metrics

    Scholarly Works

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC