DocumentCode
1749346
Title
On the implementation of particle filters for DOA tracking
Author
Ng, William ; Larocque, Jean-Rene ; Reilly, James P.
Author_Institution
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
Volume
5
fYear
2001
fDate
2001
Firstpage
2821
Abstract
This paper addresses practical issues for the implementation of sequential Monte Carlo sampling schemes, also known as particle filtering, for application to tracking problems. The discussion focusses on ways to improve on previous resampling schemes, resulting in significantly improved performance. These conclusions are demonstrated and supported by examples of application of the particle filter to a sequential tracking of a known number of directions of arrival
Keywords
Monte Carlo methods; direction-of-arrival estimation; filtering theory; signal sampling; state-space methods; tracking filters; DOA tracking; directions of arrival estimation; particle filters; resampling; sequential Monte Carlo sampling; sequential tracking; simulation results; state-space model.; tracking problems; Equations; Filtering; Monte Carlo methods; Nonlinear filters; Parameter estimation; Particle filters; Particle tracking; Proposals; Sensor arrays; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location
Salt Lake City, UT
ISSN
1520-6149
Print_ISBN
0-7803-7041-4
Type
conf
DOI
10.1109/ICASSP.2001.940233
Filename
940233
Link To Document