NDLI: Distributed target tracking by time of arrival and received signal strength with unknown path loss exponent

Content Provider	IET Digital Library
Author	Li, Wenling Jia, Yingmin
Abstract	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.
Starting Page	681
Ending Page	686
Page Count	6
ISSN	17519675
Volume Number	9
e-ISSN	17519683
Issue Number	Issue 9, Dec (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/9/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2014.0477
Journal	IET Signal Processing
Publisher Date	2015-12-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Griding Strategy Covariance Intersection Approach Covariance Matrices Distributed Fashion Distributed Target Tracking Filtering Method in Signal Processing Interacting Multiple Model Estimator Jump Markov Nonlinear System Linear Algebra Markov Chain Markov Processes Numerical Analysis Path Loss Exponent PLE Received Signal Strength RSSI Sensor Fusion Sensor Fusion Based Estimation Signal Processing Theory State Estimation Target State Estimation Target Tracking Time-of-arrival Estimation Tracking Filter
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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