Reimar Pfeil, Stefan Schuster, Philipp Scherz, Andreas Stelzer, Günter Stelzhammer,
"A robust position estimation algorithm for a local positioning measurement system"
: IEEE MTT-S International Workshop on Wireless Sensing, Local Positioning, and RFID 2009 (IMWS 2009), Seite(n) 9 - 12, 9-2009, ISBN: 978-1-4244-5060-2
Original Titel:
A robust position estimation algorithm for a local positioning measurement system
Sprache des Titels:
Englisch
Original Buchtitel:
IEEE MTT-S International Workshop on Wireless Sensing, Local Positioning, and RFID 2009 (IMWS 2009)
Original Kurzfassung:
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.
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