A robust position estimation algorithm for a local positioning measurement system

Description

Precise position estimation has always been a challenging but highly requested task in many technical problems. The time-difference of arrival (TDOA) based local position measurement system LPM uses the well-known Bancroft algorithm, which computes a closed-form solution to the non-linear range measurement equations. A critical issue of this computation method is that outliers in the measurements will decrease the quality of the position estimate significantly. In this contribution a least median of squares (LMS) algorithm for position estimation is developed which delivers an appropriate position estimate even if the raw data contain corrupted measurements.

Period	24 Sept 2009
Event title	IEEE MTT-S International Workshop on Wireless Sensing, Local Positioning, and RFID 2009 (IMWS 2009)
Event type	Conference
Location	CroatiaShow on map