STUDY OF DISTRIBUTED TARGET TRACKING IN WIRELESS SENSOR NETWORKS WITH DATA ASSOCIATION UNCERTAINTY
Journal: International Journal of Computer Engineering and Technology (IJCET) (Vol.10, No. 1)Publication Date: 2019-01-31
Authors : Manjubashini N;
Page : 271-277
Keywords : Data association uncertainty; distributed estimation; target tracking; wireless sensor networks.;
Abstract
This letter considers distributed target tracking in the presence of data association uncertainty. Some known algorithm has been developed where the minimum mean square error (MMSE) approach is utilized to deal with the data association process. However, the computed covariance of global estimate can become non-positive semi definite when multiple sensors exist, which induces that it cannot be performed in some simulations. We develop a novel distributed algorithm where the maximum a posteriori (MAP) approach is utilized to deal with the data association process. The novel algorithm can ensure that the computed covariance of global estimate is positive semi definite at all time and it can be performed for all simulations.
Other Latest Articles
- PRIVACY PRESERVING REVOCATION UPDATE PROTOCOL FOR GROUP SIGNATURE IN CLOUD
- PRESERVING DATA AND MANAGING CONCURRENCY IN DISTRIBUTED DATABASE
- IDENTIFICATION APPROACH FOR BIOMETRIC SYSTEMS USING THE ABM PROCEDURE WITH THE LOW FREQUENCY EYE TRACKER
- HYBRID AUCTION-BASED MECHANISM FOR DYNAMIC VIRTUAL MACHINE PROVISIONING AND ALLOCATION IN CLOUD
- APPLYING VIGOR AND PARTICLE SKIN ON THREE DIMENSIONAL PERSON VISAGE TERMINOLOGY
Last modified: 2021-07-07 21:41:07