Paper Info
Title
Reaching asymptotic efficient performance for squared processing of range and range difference localizations in the presence of sensor position errors
Abstract
Computationally efficient source location solutions from TOAs or TDOAs require the squaring of the measurements before optimization. The squaring operation changes the characteristics of the measurements and causes degradation in the localization accuracy, unless proper weightings are applied when forming the cost function for minimization. The previously developed weighting values are useful for measurements with accurate sensor positions only. This paper extends the study and derives the weightings when the sensor position uncertainties are present such as in sensor networks. The resultant cost functions for TOA and TDOA positionings are analyzed and the performance accuracy is shown to attain the CRLB asymptotically under Gaussian noise. Simulations validate the performance of the new cost functions and the theoretical investigations.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6853831
ICASSP
Keywords
Field
DocType
source localization,source location solutions,time difference of arrival,toa,cramer-rao lower bound,range difference localization,tdoa,range squared processing,sensor networks,received signal strength,gaussian noise,sensor position errors,minimisation,crlb,time-of-arrival estimation,time of arrival,cost function,efficient solution,maximum likelihood estimation,geometry,cramer rao lower bound,noise,noise measurement,accuracy
Cramér–Rao bound,Weighting,Square (algebra),Pattern recognition,Computer science,Algorithm,Minification,Artificial intelligence,Multilateration,Statistics,Gaussian noise,Wireless sensor network
Conference
ISSN
Citations 
PageRank 
1520-6149
1
0.35
References 
Authors
0
2
Name
Order
Citations
PageRank
Shanjie Chen1182.79
K.C. Ho21311148.28