Multitarget Tracking by Particle Filtering Based on RSS Measurement in Wireless Sensor Networks
We propose an algorithm for multitarget tracking by particle filtering in wireless sensor networks based on received signal strength (RSS) measurement where we also localize a newly appearing target whose location and reference power are unknown. Therefore, the number, the reference power, and the i...
Main Authors: | Jaechan Lim, Uipil Chong |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi - SAGE Publishing
2015-05-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2015/837070 |
Similar Items
-
Tracking by Risky Particle Filtering over Sensor Networks
by: Jaechan Lim, et al.
Published: (2020-05-01) -
A Boosted Particle Filter: Multitarget Detection and Tracking
by: Okuma, K, et al.
Published: (2004) -
Rao-Blackwellised particle filtering in random set multitarget tracking
by: Vihola, M
Published: (2007) -
An Efficient RSS Localization for Underwater Wireless Sensor Networks
by: Thu L. N. Nguyen, et al.
Published: (2019-07-01) -
Multi-Target Localization Based on Unidentified Multiple RSS/AOA Measurements in Wireless Sensor Networks
by: Seyoung Kang, et al.
Published: (2021-06-01)