<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">POS</journal-id><journal-title-group><journal-title>Positioning</journal-title></journal-title-group><issn pub-type="epub">2150-850X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/pos.2013.44026</article-id><article-id pub-id-type="publisher-id">POS-39551</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Computer Science&amp;Communications</subject></subj-group></article-categories><title-group><article-title>
 
 
  Development of Virtual Reference Station in Kinematic Schemes of Geodetic GPS Network Using the Method of Maximum Informative Zone
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>rif</surname><given-names>Shafayat Mehdiyev</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ramiz</surname><given-names>Ahmed Eminov</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hikmat</surname><given-names>Hamid Asadov</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>State Oil Academy, Baku, Azerbaijan;</addr-line></aff><aff id="aff3"><addr-line>Research Institute of Aerospace Infor- matics, Baku, Azerbaijan</addr-line></aff><aff id="aff1"><addr-line>National Academy of Aviation, Baku, Azerbaijan;</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>asadzade@rambler.ru(HHA)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>13</day><month>11</month><year>2013</year></pub-date><volume>04</volume><issue>04</issue><fpage>267</fpage><lpage>270</lpage><history><date date-type="received"><day>August</day>	<month>13th,</month>	<year>2013</year></date><date date-type="rev-recd"><day>September</day>	<month>13th,</month>	<year>2013</year>	</date><date date-type="accepted"><day>September</day>	<month>20th,</month>	<year>2013</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   The factual data on error of positioning in VRS GPS networks have been analyzed, where the mobile receiver is provided with VRS. The method of highly informative zone is suggested for removal of initial vagueness in selection of reference stations for purposes of development of VRS on the basis of minimum GPS network, composed of three reference stations. The recommendations on use of suggested method are given. 
 
</p></abstract><kwd-group><kwd>GPS Receiver; Virtual Reference Station; Kinematic Schemes; Positioning; Geodetic Network</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>It is well-known that at present time a networked RTK (NRTK) system, characterized with high accuracy makes it possible to carry out positioning upon distances between stations, equal to 70 - 100 km [<xref ref-type="bibr" rid="scirp.39551-ref1">1</xref>]. One of perspective ways for further increase of accuracy of RTK systems of positioning is a method of Virtual Reference Station (VRS), which is a model of reference station (RS), located at close proximity of MR [<xref ref-type="bibr" rid="scirp.39551-ref2">2</xref>]. Utilization of VRS makes it possible to carry out RTK positioning by accuracy of 2 cm in network of RS by distance between equal to 32 km. According to work [<xref ref-type="bibr" rid="scirp.39551-ref3">3</xref>], major principles of development of VRS are as followings:</p><p>• Data from network of reference stations are transferred to processing center;</p><p>• Data of network is used for calculation of models of ionosphere, troposphere and orbital errors;</p><p>• The ambiguity of estimate of phase of carrier is fixed taking into account the base distances of network;</p><p>• The factual errors of base distances are determined with cm accuracy on the basis of measurements of fixed phase of the carrier;</p><p>• To forecast the total error of positioning of the user’s mobile receiver the linear combination of errors’ models are used;</p><p>• VRS is to be developed in close vicinity of mobile receiver.</p><p>Till now the question on well-grounded choice of place of VRS in RTK network and also the question on choosing of RS for positioning of user’s MR are not solved in proper manner. Instead such heuristic criteria as “RS, which are closest to mobile receiver” and “closest placement of VRS to mobile receiver” are used. In this paper, we shall consider the possibility on substitution of heuristic criteria with information ones.</p></sec><sec id="s2"><title>2. Critical Review of Existing Methods</title><p>According to work [<xref ref-type="bibr" rid="scirp.39551-ref4">4</xref>], in NRTK systems the distance between RS and mobile receiver is to be determined as a maximum value of radius of the circle which encompasses the zone, where signal of appropriate RS can be used efficiently together with sent signals having the format of International Radio technical Commission of Sea Service (RTCM) (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>As it is noted in the work [<xref ref-type="bibr" rid="scirp.39551-ref5">5</xref>], in the system ROMPOS (Romania), which is the NRTK type system, the high accuracy of positioning is achieved as follows. Firstly, the MR sends its data relating its approximate position to the Control Center via Internet. The Control Center selects on the basis of received information the BS as a basic one which mostly closes to MR.</p><p>Then, the initial information, received from this RS is</p><p>to be corrected as a geometric position data taking into account the networks correction, which accords with approximate position of MP. At present time there are such competing technologies, as NRTK with VRS, NRTK with pseudo-reference station (PRS), method of parameters of correction on field, and also the concept of “master-apprentice” (MAC), and individualized correction of the same type (i-Max) [<xref ref-type="bibr" rid="scirp.39551-ref6">6</xref>].</p><p>According to work [<xref ref-type="bibr" rid="scirp.39551-ref7">7</xref>], in order to use a fast static or the real time kinematic (RTK) positioning with a centimeter accuracy at a large distances the reference networks were developed in some areas of Germany with step 30 - 50 km. Within these networks the values of errors depending on distance were simulated, such as errors due to ionosphere and troposphere refractions and others, separately on satellites with high temporal resolution. Such a procedure leads to VRS concept, the output information of which is processed factually in the computer, using for this data of really existing RS.</p><p>According to the work [<xref ref-type="bibr" rid="scirp.39551-ref8">8</xref>], in order that the results of measurements of carrier’s frequency’s phase accepted in RS of network were transformed to the simulated result of phase measurements of VRS carrier’s frequency’s phase, some operations, including following, should be carried out:</p><p>1) Removal of ambiguities occurred due to double differencing of phase of carrier’s frequency;</p><p>2) Calculation of models of errors, which depends on distances;</p><p>3) Development of ionosphere model, based on a linear ionosphere combination;</p><p>4) Development of geometrical model, containing the troposphere and orbital errors and based on linear combination of them.</p><p>In this case the processing of data can be carried out in central processor or can be distributed between the central processor and users. As it is noted in work [<xref ref-type="bibr" rid="scirp.39551-ref9">9</xref>], in the networked RTK systems of positioning the most critical component of positioning error is a differential ionospheres residual error between the network of RS and mobile receiver. According to the work [<xref ref-type="bibr" rid="scirp.39551-ref10">10</xref>], the concentration of electrons in ionosphere is suffered the heavy diurnal change. After the double differencing the troposphere error upon interference distances 60 - 80 km may surpass the ionosphere errors and reach the value of 2 cm during the 30 seconds time interval. At the same time, the question, related with choosing the place for development of VRS in the world practice is being solved till now in line with following heuristic considerations:</p><p>1) VRS should be located maximally close to MR of user;</p><p>2) For positioning of MR it is necessary to choose those RS which are located most closely to MR.</p><p>It is obvious that development of techniques and scientific technology require substitution of heuristic approaches by well-grounded scientific ones. Next we shall describe the proposed method for selection of place for development of VRS.</p></sec><sec id="s3"><title>3. Development of VSR Using the Method of Maximum Informative Zone Determination</title><p>According to work [<xref ref-type="bibr" rid="scirp.39551-ref1">1</xref>], upon interpolation of VSR’s error within the server’s software the errors are to be interpreted on the basis of data of Reference Stations using the method of interpolation. At the same time the method of extrapolation also can be used (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p><p>According to our opinion, the interpolation method for determining of MR-s position error in principle removes the possibility of carrying out of high-accuracy positioning due to existence of its inherent error component— error of interpolation.</p><p>In view of abovementioned we suggest the information —interpolation method for determining the error of VRS positioning, the matter of which is following:</p><p>1) VRS should be located over MR, i.e. the places of their positioning coincide.</p><p>2) The interpolation of error is to be carried out and the interpolated assessment of the VRS (MR) position’s error is to be geometrically determined.</p><p>3) The maximum informative zone in the area of location of VRS (MR) is to be determined, where the maximum amount of information can be received upon realization of some order of transfer of information from RS relating its position upon given limiting conditions;</p><p>4) For each position of VRS (MR), by purposes of interpolating such a triplet of RS should be chosen, the maximum informative zone of which determines the points of placement of VRS (MR).</p><p>The mathematical grounding of suggested method is as follows. Assume that there are six RS and the MR with unknown coordinates (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>As a first step we choose stations RS1, RS3 and RS5. Taking into account the noisiness of the channel’s signals due to effect of highly variable ionosphere error the techniques of multiple sending of data of own positions is used for transfer the information from RS to MR.</p><p>Thus, using the continual form of writing, the amount of information, received by VRS may be estimated as</p><disp-formula id="scirp.39551-formula13913"><label>, (1)</label><graphic position="anchor" xlink:href="1-8501074\dfe0af66-a408-471d-8124-75222ff98835.jpg"  xlink:type="simple"/></disp-formula><p>where T—time of transfer of information from RS to</p><p>VRS;<img src="1-8501074\96995dad-b1cb-430f-90ce-467b4fa5ed5a.jpg" />—maximum value of<img src="1-8501074\e6cab422-15d7-4c24-9dd3-fde60f1ce4bd.jpg" />;<img src="1-8501074\e19b9610-5621-4136-9e85-2fca7bd6eb0d.jpg" />—signal/noise ratio in transferred signal;<img src="1-8501074\0af9873e-d910-4acb-9b1e-2ddc62243b1c.jpg" />—distance between RS and VRS;<img src="1-8501074\0f7913dd-969a-4a89-9283-43ddcb605856.jpg" />.</p><p>As a first approximation we have</p><disp-formula id="scirp.39551-formula13914"><label>, (2)</label><graphic position="anchor" xlink:href="1-8501074\4a372f6a-0e22-4cad-b0cd-5dc1003583ba.jpg"  xlink:type="simple"/></disp-formula><p>where<img src="1-8501074\fa2f6302-4851-4cdc-9fe3-9b4e0120aaf8.jpg" />—signal/noise ratio at reference stations;</p><p><img src="1-8501074\edb99b7b-3ec8-4be2-a802-45f7785d009c.jpg" />.</p><p>Then with we introduce the function of relation between the distance l and duration—<img src="1-8501074\d3aa8149-0560-4b52-b609-a703294673a3.jpg" />:</p><disp-formula id="scirp.39551-formula13915"><label>, (3)</label><graphic position="anchor" xlink:href="1-8501074\da0a2fcb-a9ab-41c9-8b19-1f7f863b6339.jpg"  xlink:type="simple"/></disp-formula><p>Taking into consideration Formulas (1) - (3) we get</p><disp-formula id="scirp.39551-formula13916"><label>. (4)</label><graphic position="anchor" xlink:href="1-8501074\deb3dc9b-5020-45ad-8ba9-db273eb48306.jpg"  xlink:type="simple"/></disp-formula><p>The limitation condition relating the total value of distances from MR to RS is formulated as follows</p><disp-formula id="scirp.39551-formula13917"><label>, (5)</label><graphic position="anchor" xlink:href="1-8501074\4bdf1f98-4e3f-494a-8d40-dbc1ebda03f8.jpg"  xlink:type="simple"/></disp-formula><p>where<img src="1-8501074\1a97a8e8-1af7-4bac-a837-fea45e33c221.jpg" />;<img src="1-8501074\28219b21-aecb-4404-96a1-435986a12459.jpg" />.</p><p>It should be noted, that in case of monotonous type of function 3, the condition (5) may be interpreted as limitation for total duration of information reception.</p><p>In view of Equations (4) and (5) we can compose following equation of non-conditional variation optimization:</p><disp-formula id="scirp.39551-formula13918"><label>(6)</label><graphic position="anchor" xlink:href="1-8501074\f12ec4b1-6182-4ee4-9c99-88c94441b3f0.jpg"  xlink:type="simple"/></disp-formula><p>where<img src="1-8501074\5e77be3c-e5ef-46c7-9c47-ad72977a8242.jpg" />—Lagrange multiplier.</p><p>It is well-known, that the optimum function <img src="1-8501074\6aa5cc83-8828-4119-9aad-c60a1043825c.jpg" /> should meet the Euler’s condition</p><disp-formula id="scirp.39551-formula13919"><label>. (7)</label><graphic position="anchor" xlink:href="1-8501074\3bd5240b-ad2f-4e31-94e5-f24361d6ad6e.jpg"  xlink:type="simple"/></disp-formula><p>In view of Equations (6) and (7) we get</p><disp-formula id="scirp.39551-formula13920"><label>. (8)</label><graphic position="anchor" xlink:href="1-8501074\2793ffbd-5894-48b1-8d51-d37fe6014240.jpg"  xlink:type="simple"/></disp-formula><p>From formula (8) we derive</p><disp-formula id="scirp.39551-formula13921"><label>. (9)</label><graphic position="anchor" xlink:href="1-8501074\9e297e5e-d459-43fa-bdb4-19d934720592.jpg"  xlink:type="simple"/></disp-formula><p>Taking into consideration the formulas (5) and (9) we get.</p><disp-formula id="scirp.39551-formula13922"><label>(10)</label><graphic position="anchor" xlink:href="1-8501074\31421931-4568-479e-94dd-c54cc2046da2.jpg"  xlink:type="simple"/></disp-formula><p>and</p><disp-formula id="scirp.39551-formula13923"><label>. (11)</label><graphic position="anchor" xlink:href="1-8501074\8151fab2-eaae-47d0-9ed6-da75d95a63f1.jpg"  xlink:type="simple"/></disp-formula><p>Taking into consideration the formulas (8) and (11) we have</p><disp-formula id="scirp.39551-formula13924"><label>. (12)</label><graphic position="anchor" xlink:href="1-8501074\8850bb15-54b3-4413-bbe2-172033ad08c5.jpg"  xlink:type="simple"/></disp-formula><p>Taking into account the negative value of <img src="1-8501074\a2d26ed2-088b-4d63-ad4a-8418eb73f7a8.jpg" /> we have<img src="1-8501074\3e83a7e8-0b9e-45d4-807f-5c983aa35784.jpg" />. In this case the Equation (12) can be written as</p><disp-formula id="scirp.39551-formula13925"><label>. (13)</label><graphic position="anchor" xlink:href="1-8501074\306558d8-f117-4061-9658-938b5c493eb2.jpg"  xlink:type="simple"/></disp-formula><p>Thus, upon known values of<img src="1-8501074\33ff7a97-08ff-4434-8780-d3e97d4ad9a3.jpg" />, assuming existence of linear scale of values of T, we can calculate l using formula (13).</p><p>Then, using the composed set of values <img src="1-8501074\ef360c42-563c-4ad8-9807-a344e61b43f2.jpg" /> where elements of this set increase linearly on index ithe elements of the set <img src="1-8501074\3202e70f-eec4-4453-af84-0cf983637a26.jpg" /> should be calculated.</p><p>Using the calculated values of<img src="1-8501074\f964e721-426a-4f72-8686-a60628e05f20.jpg" />, the geometrical construction of highly informative zone, which may or may not contain the MR, should be carried out.</p></sec><sec id="s4"><title>4. Conclusions</title><p>Thus, the new notion, maximum informative zone, suggested in this work, makes it possible to remove the initial vagueness concerning selection of minimum network of RS for determining of error of mobile receiver’s position using the interpolation method.</p><p>It should be noted that in this case the two critical conceptions for determining of error of MR-s position (using criteria of maximum interpolation accuracy and maximum amount of information) don’t follow up the classic concept of multicriterial optimization, because the competition of criteria is absent here and requirement to meet one of them could mean fulfillment of other one.</p></sec><sec id="s5"><title>REFERENCES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.39551-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">H. Vollath, U. Vollath and X. 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