Share Email Print
cover

Proceedings Paper

Multiresolution extended Kalman filter to estimate parameters of a passive acoustic signal
Author(s): Anthony Reid
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper investigates the application of a multiresolution extended Kalman filter to estimate signal parameters of a passive helicopter signal impinging upon a simple acoustic array of microphones. This approach circumvents some of the problems associated with the initial phase estimate when using an extended Kalman filter to estimate signal parameters of a passive signal. A multiresolution extended Kalman filter uses a wavelet transform to form filter observations at multi-scale resolutions. These wavelet transformed observations are processed from coarser scales to finer scales to jointly estimate all signal parameters including signal phase. By using multi-resolution observations the extended Kalman filter can tolerate larger initial phase errors than a conventional extended Kalman filter. Once the filter has been initialized using the wavelet transformed observations, the filter then uses the highest resolution observations (i.e. not wavelet transformed) from that time on.

Paper Details

Date Published: 1 September 1995
PDF: 8 pages
Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); doi: 10.1117/12.217637
Show Author Affiliations
Anthony Reid, Texas Instruments Inc. (United States)


Published in SPIE Proceedings Vol. 2569:
Wavelet Applications in Signal and Image Processing III
Andrew F. Laine; Michael A. Unser, Editor(s)

© SPIE. Terms of Use
Back to Top