Semidefinite Programming Methods for Alleviating Sensor Position Error in TDOA Localization

This paper develops a unified solution for time-difference-of-arrival (TDOA) localization in the presence of sensor position errors. This technique starts with maximum likelihood estimation (MLE), which is known to be nonconvex. A semidefinite programming technique to effectively transform the MLE p...

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Vydané v:	IEEE access Ročník 5; s. 23111 - 23120
Hlavní autori:	Zou, Yanbin, Liu, Huaping, Xie, Wei, Wan, Qun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Calibration Closed-form solutions Convexity Cramer-Rao bounds Emitters Localization Lower bounds Maximum likelihood estimation Measurement uncertainty Noise measurement Optimization Position errors Position measurement Position sensing Programming Semidefinite programming semidefinite programming (SDP) sensor position error Sensors Source localization time-difference-of-arrival (TDOA)
ISSN:	2169-3536, 2169-3536
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