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M. Zhu, K. Zhang, W. Cartwright, G. Retscher, Q. Fu:
"Possibility studies of Integrated INS/RFID Positioning Methods for Personal Positioning Applications";
Talk: IGNSS 2009 Conference, Gold Coast, Queensland, Australia; 2009-12-01 - 2009-12-03; in: "IGNSS 2009 Conference", (2009), 8 pages.

Precise positioning has been a challenging task in the areas of surveying and mapping, robotic movement control and especially personal guidance and tracking. To date, geodetic grade GPS systems such as Trimble R8, can provide a centimetre level of accuracy in real time over a large area using real-time kinematic (RTK) or network-based RTK technique. However, the major drawbacks of the high accuracy GPS systems is that they are either too expensive, too heavy or too clumsy (e.g. large volume). In addition, the requirement of line of sight signals reception in GPS positioning prevents it from proper use in indoor and signal-obstructed areas.
Some alternative techniques, such as the micro-machined electromechanical system (MEMS) Inertial Navigation System (INS) and the radio frequency identification (RFID) positioning technique have recently become attractive. This is because these systems meet the needs of personal guidance and tracking applications due to their indoor positioning capability, simple infrastructure requirement, portability, size and cost.
In this paper, two integrated INS/RFID positioning methods have been proposed and their performances have been evaluated. Results show that both Cell-of-Origin (CoO) and fingerprinting positioning methods can provide effective positioning calibrations in the areas where GPS signals are either unreliable or not available. It shows that the integrated INS/RFID positioning techniques are generally more accurate than that RFID positioning technique alone. It is concluded that the integrated techniques can satisfy the requirements for personal guidance and object tracking applications to provide a continuous, portable and metre-level accuracy with a relatively low-cost.

http://www.ignss.org/?D=19