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Chapter 7 <strong>Orbit</strong> <strong>Determination</strong> Using Carrier Phase Observation<br />

λλ<br />

∃ 1 3<br />

ρ ( III)<br />

= ( Φ1 −Φ 3 − N13)<br />

(7-34)<br />

λ − λ<br />

3 1<br />

∃ ρ<br />

∃<br />

( III) N1 = Φ1 −<br />

λ 1<br />

∃ ρ<br />

∃<br />

( III) N2 = Φ2 −<br />

λ 2<br />

∃ ρ<br />

∃<br />

( III)<br />

N3<br />

= Φ3<br />

−<br />

λ 3<br />

(7-35)<br />

N : [ N N N N N<br />

∃ = ] : = [ ] : = [ ]<br />

(7-36)<br />

1 1 2 2 3 3<br />

The first step is very important for the successful solution <strong>of</strong> the initial integer ambiguities for TCAR algorithm.<br />

If under strong multipath environment, the error <strong>of</strong> ∃ ρ ( I ) is larger than ±10 meter, it is impossible for N12 to get<br />

integer solution. Thus from the second step to the last step, a big bias will be introduced into all integer<br />

ambiguity solutions, which lead to ambiguity resolution failure.<br />

The multipath effects may be reduced using linear combinations, which will be discussed in the next section.<br />

L3 is an ionospheric-free linear combination that is little affected by multipath effects as well (see Table 7-7). In<br />

order to eliminate the influence <strong>of</strong> multipath effects and ionospheric errors on TCAR algorithm, the ionosphere-<br />

free or multipath-free linear combination <strong>of</strong> E1/E3 code measurements should be formed as the first step for<br />

ρ ( I ) , i.e. improved TCAR steps may be written as follows,<br />

Step1:<br />

Ionospheric-free linear combinations <strong>of</strong> E1 and E3 code pseudoranges should be produced by<br />

2<br />

2<br />

f<br />

∃ E1<br />

fE3<br />

ρ( I)<br />

= ρE−ρ 2 2 1 2<br />

E<br />

f − f f − f<br />

E1E3 2 3 (7-37)<br />

E1E3 From Table 7-7, it is guaranteed that ∃ ρ ( I ) has much little influence from ionospheric errors and multipath<br />

effects. Thus the float ambiguity ∃ N 12 is solved by using widelane linear combinations <strong>of</strong> E1 and E2 phase<br />

observations and ∃ ρ ( I)<br />

∃ 1 1<br />

12: = Φ1−Φ2−( − )∃ ρ ( )<br />

(7-38)<br />

λ λ<br />

N I<br />

1 2<br />

Because the wave length <strong>of</strong> linear combination <strong>of</strong> Φ1 − Φ2<br />

is about 10 meter and the accuracy <strong>of</strong> ∃ ρ ( I ) is much<br />

better than 10 meter, integer ambiguity N12 can easily be obtained by rounding ∃ N12 to the nearest integer, i.e.<br />

N : [ N∃<br />

= ]<br />

(7-39)<br />

12 12<br />

where<br />

N12 integer ambiguity<br />

∃N 12 float ambiguity<br />

N∃ : = N − N<br />

12 1 2<br />

Step 1 is a big difference from the original TCAR algorithm Eq.(7-28) and will significantly reduce the<br />

ionospheric errors and multipath effects. In Step 2 there is no influence from multipath effects, hence Step 2 does<br />

not need to be changed. Step 3 also remains without changes.<br />

From the discussion above it is clear that TCAR still can not guarantee 100% success in the integer ambiguity<br />

resolution <strong>of</strong> original carrier phase observations. The key step is the last step. For example, if L1 is strongly<br />

affected by ionospheric and/or multipath errors, the last step will not be successful. In other words, the accuracy<br />

<strong>of</strong> ∃ ρ ( III ) in Eq.(7-34) and Eq.(7-35) should be better than 0.10 meter, otherwise, the last step may be a failure.<br />

94

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