Semidefinite Programming Methods for Alleviating Sensor Position Error in TDOA Localization

• Published in: IEEE access Vol. 5; pp. 23111 - 23120
• Main Authors: Zou, Yanbin, Liu, Huaping, Xie, Wei, Wan, Qun
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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)

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...