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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940233
