By Topic

Tracking a Variable Number of Targets in Acoustic Sensor Networks by Particle Filter

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Hongbo Zhou ; Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan, China ; Jianqiang Zhang ; Changfeng Xing ; Yuanguo Cheng

A novel particle filter algorithm is proposed to track a variable number of targets in acoustic sensor networks, where the sensor data represent measurements of acoustic signals from one or more targets and background noise. The algorithm is based on the scheme of which assumed that at most one target may change between two time instants. The algorithm firstly estimate the number and identities of targets existing in the region, then estimate their states. The simulation results show that the new algorithm has good performance when tracking a variable number of targets.

Published in:

Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on  (Volume:2 )

Date of Conference:

5-6 June 2010