493
As one can see above, all of the adjustments are
within the accepted range
2;2
i
v
. Therefore,
it is not necessary to use the procedure of robust
adjustment and decision and attenuation function
)V(xT
x
i
i
,
.Now,thecoordinatesofposition
4
P and
of object T’s position can be determined. The
determinations of adjustments at the last stage of
calculationsinthistestareasfollows:
1 Estimatedcoordinatesofthevessel’sposition:
03.457827
45.5962838
90.6
39.1
13.457820
06.5962837
ˆˆ
444
P
o
PP
X xdX
withanerrorindeterminingtheposition
mM
P
98.24
4
.
2 EstimatedcoordinatesofobjectT’sposition:
38.461228
12.5963180
05.0
92.1
43.461228
20.5963178
ˆˆ
4
3
4
P
T
P
T
P
T
X xdX
withanerrorindeterminingtheposition
mM
P
T
72.16
4
.
6 CONCLUSIONS
Themathematicalmethodsthatare proposedinthis
paper allow one to create Interactive Navigational
Structures(IANS),whichcanbehelpfulinperforming
many typical navigational tasks. IANS can be an
invaluable tool that aids in determining the
coordinatesofawreck’s position when the depth of
watermakesitimpossibleformeasurementteamsto
come close to it (Czaplewski, 2004). Moreover, the
methodology forcreatingand developing IANS was
successfully used in radar navigation as a tool that
made the determinations carried out by artificial
neuralnetworksmoreprecise(CzaplewskiandWąż,
2004).
The development
of IANS can act as a
supplementary, analytical method of determining a
vessel’spositionatsea.Letusassumethatavesselis
movingthroughwaterswherethetypicalnavigation
marks are unavailable, but where one can observe
other stationary objects. At the first stage, the
navigator determines the vessel’s positions
by using
theavailablesystemsofnavigationmarksandatthe
same time makes observations relative to stationary
objects. Observations that are made in accordance
with the principles that are described in this paper
will allow one to determine the coordinates of such
objects and then further use them in
navigation as
alternative navigation marks. It should be
remembered that the quality of determinations will
not be as high as when the coordinates of typical
navigationmarksareused.However,sinceoneneeds
tohavecontinuousinformationaboutthepositionof
one’s vessel when there are no other possibilities of
determining
this position, the proposal presented in
thispaperisaproperalternative.
Currently, the author and his research team are
carrying out studies that focus on the use of
InteractiveNavigationalStructuresintheVTS(Vessel
Traffic Service) system. A vessel traffic controller
usingtheVTSsystemcaneasilyspecify
theposition
ofavesselwhichhasstateditspositionwhilebeingin
watersthatarecoveredbythissystemifthecontroller
has the appropriate software which uses the
mathematical methods of creating and developing
IANS.
REFERENCES
Baran, W. L. (1999). Teoretyczne podstawy opracowania
wyników pomiarów geodezyjnych. PWN, Warsaw,
Poland.
Czaplewski, K. (2004). Pozycjonowanie z wykorzystaniem
Interaktywnych Struktur Nawigacyjnych.
WydawnictwoAMW,Gdynia,Poland.
Czaplewski K.Morgaś W. and KopaczZ. (2010). National
Systems of Safety and Protection of Navigation.
Scientific Journal of Maritime University of Szczecin,
Szczecin,Poland.
CzaplewskiK.andWążM.(2004).TheUsingoftheNeutral
Networks and Robust Estimation Methods In Radar
Navigation. The Proceedings of 5th Russian Scientific‐
Technical Conference “The Present‐Day State and
Problems of Navigation and Oceanography”, pp. 105‐
115,St.Petersburg,Russia.
Hampel F. R., Ronchetti E. M., Rousseeuw
P.J and Stahel
W.A.(1986). Robust Statistics.The Approach Basedon
Influence Functions. John Wiley & Sons, New York,
USA.
Kopacz Z. and Urbański J. (1998). The Navigation of the
Beginning of the 21st Century. Geodezja i Kartografia,
no.XLVII,issues1‐2,pp.59‐68,Warsaw,Poland.
Wiśniewski
Z. (2002). Koncepcja opracowania wyników
pomiarów nawigacyjnych. Wydawnictwo AMW,
Gdynia,Poland.
WiśniewskiZ.(2009).RachunekWyrównawczywGeodezji
(zprzykładami).WydawnictwoUWM,Olsztyn,Poland.
Yang Y. (1994). Robust Estimation for Dependent
Observations. Manuscripta Geodaetica, no. 19,
Germany.
YANG Y. (1997). Estimators of Covariance Matrix AT
Robust Estimation Based
on Influence Functions. ZfV,
Helf4,Germany
Yang Y., Song L. and Xu T. (2002). Robust Estimator for
Correlated Observations Based on Bifactor Equivalent
Weights. Journal of Geodesy nr 76, pp 353 – 358,
Heidelberg,Germany