Paper Info
Title
Hybrid TW-TOA/TDOA Positioning Algorithms for Cooperative Wireless Networks.
Abstract
The problem of positioning an unknown target is studied for a cooperative wireless sensor network using hybrid two-way time-of-arrival and time-difference-of-arrival measurements. A maximum likelihood estimator (MLE) can be employed to solve the problem. Due to the non-linear nature of the cost function in the MLE, a numerical method, e.g., an iterative search algorithm with a good initial point, should be taken to accurately estimate the target. To avoid drawbacks in a numerical method, we instead linearize the measurements and obtain a new two-step estimator that has a closed-form solution in each step. Simulation results confirm that the proposed linear estimator can attain Cramer-Rao lower bound for sufficiently high SNR.
Year
DOI
Venue
2011
10.1109/icc.2011.5962647
ICC
Keywords
Field
DocType
cooperative communication,maximum likelihood estimation,numerical analysis,time-of-arrival estimation,wireless sensor networks,Cramer-Rao lower bound,MLE,SNR,cooperative wireless sensor network,hybrid TW-TOA-TDOA positioning algorithms,iterative search algorithm,maximum likelihood estimator,numerical method,time-difference-of-arrival measurements,two-way time-of-arrival measurements
Wireless network,Computer science,Upper and lower bounds,Signal-to-noise ratio,Algorithm,Multilateration,Covariance matrix,Numerical analysis,Wireless sensor network,Estimator
Conference
ISSN
Citations 
PageRank 
1550-3607
10
0.72
References 
Authors
3
4
Name
Order
Citations
PageRank
Mohammad Reza Gholami121817.14
Sinan Gezici268266.18
Erik G. Ström31188110.35
Mats Rydström41217.11