Open AccessDistributed target tracking by time of arrival and received signal strength with unknown path loss exponent
Author(s) -
Li Wenling,
Jia Yingmin
Publication year - 2015
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2014.0477
Subject(s) - estimator , tracking (education) , computer science , algorithm , covariance , exponent , path (computing) , markov chain , bounded function , signal (programming language) , intersection (aeronautics) , time of arrival , markov process , control theory (sociology) , mathematics , statistics , artificial intelligence , telecommunications , machine learning , psychology , pedagogy , linguistics , philosophy , engineering , wireless , programming language , mathematical analysis , control (management) , aerospace engineering
The problem of distributed target tracking using time of arrival and received signal strength with unknown path loss exponent (PLE) is studied. The PLE is modelled as a Markov chain with three states and an adaptive gridding strategy is adopted to adjust the PLE recursively in a bounded interval. Therefore, the target tracking model is formulated as a jump Markov non‐linear system. The interacting multiple model () estimator is applied to derive the target state estimates for each sensor and the covariance intersection approach is used to fuse sensor‐based estimates in a distributed fashion. Simulation results show a promising performance for the proposed filter.