International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part Bl. Istanbul 2004
REFERENCES
Alouani A. T., Blair W. D., Rice T. R., Xia P., 1993. On the
optimality of the two-stage state estimation in the presence of
random bias, IEEE transactions on automatic control, Vol. AC-
a oR
38,1 8
Andrews A. P., Grewal M. S., 2001. Kalman filtering, Theory
and practice using Matlab, John Wiley and Sons.
Brown R. G., Hwang P. Y. C., 1997. Introduction to random
signals and applied Kalman filtering, John Wiley and Sons.
Chen F. C., Hsieh C. S., 1995. Optimal solution of the two
stage Kalman estimator. Proceedings of the 34th Conference on
Decision and Control, pp. 1532-1537, New Orleans, LA.
Chen G., Chui C. K., 1987. Kalman filtering with real-time
applications, Springer - Verlag.
Cina A., Manzino A. M., Roggero M., 2003. Long range RTK,
in Reports on Geodesy n. 2 (65).
Cina A., Manzino A. M., Roggero M., 2003. RTK positioning in
cadastral GIS updating, in proceedings of ISPRS workshop of
commission VI, WG3.
Darouach M., Keller J. Y., 1997. Optimal two-stage Kalman
filter in the presence of random bias, Automatica, Vol. 33, n.?
9. pp. 1745-1748.
De Jong C. D., Teunissen P. J. G., 2000. Minimal Detectable
Biases of GPS observations for a weighted ionosphere, Earth
Planet Space, n.? 52, pp. 857-862.
Friedland B., 1969. Treatment of bias in recursive filtering,
IEEE transactions on automatic control, Vol. AC-14, n.? 4.
Gang Lu, 1991. Quality control for differential kinematic GPS
positioning, Calgary, Alberta.
Ignagni M. B., 1981. An Alternate Derivation and Extension of
Friedland's Two-Stage Kalman Estimator, IEEE transactions
on automatic control, Vol. AC-26, n.° 3.
[gnagni M. B., 1990. Separate-bias Kalman Estimator with
bias state noise, IEEE transactions on automatic control, Vol.
AC-3S n. 53.
Keller J. Y., 1997. Generalized two stage Kalman filter, in
Proceedings of the 36th IEEE CDC San Diego, CA.
Mehra R. K., 1972. Approaches to Adaptive Filtering, IEEE
Transaction on Automatic Control
Mehra R. K., 1970. On the Identification of Variances and
Adaptive Kalman Filtering, IEEE Transaction on Automatic
Control, AC-15(2).
RTCM, 2004. Recommended Standards for Differential GNSS
(Global Navigation Satellite Systems) Service, Version 3.0.
Stengel, 1986. Stochastic Optimal Control: Theory and
Application, New York: John Wiley & Sons
Teunissen, P. J. G., 1998. Quality control and GPS, Chapter 7 in
GPS for geodesy, Eds. P. J. G. Teunissen and A. Kleusberg.,
Springer Verlag 2™ Edition, 1998.
Teunissen P. J. G. and Salzmann M. A., 1989. A recursive
slippage test for use in state-space filtering, Manuscripta
Geodaetica, Vol. 14, pp. 383-390, 1989.
Teunissen P. J. G., 1991. On the Minimal Detectable Biases of
GPS phase ambiguity slips, Proceedings DGPS'91, First
International Symposium "Real time differential applications of
the Global Positioning System”, Stuttgart, pp. 679-686.
Tiberius C. C. J. M., 1998. Quality Control in Positioning, The
Hydrographic Journal.
Tiberius, C. C. J. M., 1998. Recursive data processing for
kinematic GPS surveying, Publications on Geódesy 45, Delft,
Netherlands.
KEY
ABS
The
inerti
posit
of th
calib
imag
deter
and
bund
misa
In th
Sens
have
orier
of m
appr
on c
calib
The
from
Trad
bloc!
aeria
map
sens
used
para
direc
acqu
GPS
Mea
oriel
beca
used
The
be
phot
forn
map
intei
dete
desc
para
dete
(e.g.