Geometry Influence on GDOP in TOA and AOA Positioning Systems

Geometric dilution of precision (GDOP) is defined as the ratio of the root-mean-square position determination error to the root-mean-square measurement error. Based on the Cramer-Rao lower bound (CRLB), new mathematical expressions of GDOP are presented in Time-of-Arrival (TOA) and Angle-of-Arrival (AOA) positioning systems in this paper. The expressions obviously reveal that the geometrical shape of the anchor nodes make a significant influence on GDOP. Then the influence of adding a new anchor node at different locations is analyzed. Simulations show that in both positioning systems, two optimal placement angles exist to make the GDOP smallest, when the original anchor nodes are no uniformly scattered. However, when uniformly scattered, the GDOP keeps constant no matter what angle the new anchor node is placed at. In AOA positioning systems, the GDOP is also affected by the distance between the newly added anchor node and the target, and increases when the distance increases. Meanwhile, the GDOP is always reduced when more anchor nodes are used.

[1]  Yu Li-jian,et al.  GDOP Performance Analysis of Cellular Location System , 2005 .

[2]  Laurence Mailaender,et al.  Comparing Geo-Location Bounds for TOA, TDOA, and Round-Trip Toa , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[3]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[4]  A.H. Sayed,et al.  Network-based wireless location: challenges faced in developing techniques for accurate wireless location information , 2005, IEEE Signal Processing Magazine.

[5]  N. Levanon Lowest GDOP in 2-D scenarios , 2000 .

[6]  Don Torrieri,et al.  Statistical Theory of Passive Location Systems , 1984, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Thomas Kleine-Ostmann,et al.  A data fusion architecture for enhanced position estimation in wireless networks , 2001, IEEE Communications Letters.

[8]  Hisashi Kobayashi,et al.  Cramér-Rao Lower bound for geolocation in non-line-of-sight environment , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[9]  J. J. Caffery,et al.  A new approach to the geometry of TOA location , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[10]  R. Yarlagadda,et al.  GPS GDOP metric , 2000 .

[11]  Andrew G. Dempster,et al.  Dilution of precision in angle-of-arrival positioning systems , 2006 .

[12]  D.G.M. Cruickshank,et al.  Performance of a TDOA-AOA hybrid mobile location system , 2001 .

[13]  James Caffery,et al.  Hybrid TOA/AOA techniques for mobile location in non-line-of-sight environments , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).