PART41 » History » Version 13

COLIN, Tony, 03/19/2016 09:12 PM

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h1. PART 4 : Position Estimation.
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{{toc}}
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p(. Once the navigation bits from at least 4 satellites have been retrieved from the acquisition/tracking part, it is possible to estimate the desired position of the receiver.
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h2. 1 - Ephemeris.
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h3. GPS satellite ephemeris data.
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p=. !Eph12min.png!
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h3. GPS satellite position calculation algorithm.
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p=. !Alg12min.png!
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from GPS Interface Control Document
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h2. 2 - Navigation computation.
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h3. a - Reminder about the impairments.
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The following figure gives the impairments affecting the range in case of the GPS system as well as the correction process :
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p=. !003.PNG!
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*Figure 4.1 :* Pseudo-range measurement extracted from *[2]*
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h3. b - Demonstration of the Pseudo-ranges with Least Square method.
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Starting from the fact that can determine most of the elements within the pseudo-range measurement PR_sat(i) from the information provided by each satellite, we have the equation : 
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p=. !Pos1.png!
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*Equation 1*
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or put in another way,
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p=. !Pos2.png!
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*Equation 2*
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Indeed 4 measurements are needed, providing 4 equations with 4 unknows which are the receiver coordinates and the clock bias of the receiver. As the equation is highly non-linear, it is important to proceed to a linearization such as the Taylor expansion :
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p=. !Pos3.png!
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*Equation 3*
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Hence,
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p=. !Pos4.png!
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*Equation 4*
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or in matrix equation form,
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p=. !Pos5.png!
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*Equation 5*
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which can be expressed as :
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p=. !Pos6.png!
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*Equation 6*
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with the Least Square solution :
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p=. !Pos7.png!
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*Equation 7*
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Thus, it is possible to retrieve the receiver position.
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_Note that all unknowns are depicted in red color._
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*References :* 
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*[1]* K. Borre, D. M. Akos, N. Bertelsen, P. Rinder, S. H. Jensen, A software-defined GPS and GALILEO receiver
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*[2]* Position Estimation Workshop, March 2016