The Accuracy of the Distance Between Two Stations using Synchronous Optical Observations of the Artificial Satellites in Combination with One Laser Measurement

INTRODUCTION

In the previous studies, many authors considered that, the conditions at which the directions from one station to another was determined with the highest accuracy from synchronous optical observations (Batrakove, 1969; Lambeck, 1968; Zhongolovitch, 1970; Allan and Weiss, 1980; Liao, 1985). Also, GPS was used for determined the acceleration and torsion displacements data of a Yonghe bridge tower (Kaloop and Hui, 2009). In the previous study, GPS system was employed for solving the problem of mobile machine localization (Yuan et al., 2010). The system error of this kind of system was determined and corrected by lidar sensors. In this case, lidar scan-matching was proposed to correct the error of GPS to localize a mobile machine accurately.

Since, the laser measurements of the range to satellites became more accurate and wide spread. Laser optical devices were proposed for the surface detection on defect features concerning the past low speed, smaller size in detection and less inconvenience in the testing or operation (Chu et al., 2011). Also, laser optical observation was considered for illuminating artificial satellites and other space objects from H-SLR station with determined the accuracy of the calculations (Ibrahim et al., 2011). It was of interest to consider more general problem in which, besides the usual synchronous optical observations of two positions of the satellite from two stations, one measurement of the range was available (Gili et al., 2000; Hakli, 2004; Martin and Jahn, 2000; Eckl et al., 2001). Furthermore (Ekuma, 2007) considered the model, which describing the laser light and optical objects, for studying the infinite nature of most distant bodies. In addition, laser-satellite optical observations in SLR station were achieved for investigating and studying the effect of the satellite signatures on the data fitting accuracy (Hanna et al., 2011).

The analytical expressions for the error of the distance should be presented depending on errors of measurements. In addition, the problem of conditions, which give the minimum of this error, was taken in our consideration.

SYSTEM OF COORDINATES

For the sake of simplicity, we introduced the frame of reference in the following way seen in Fig. 1.

Fig. 1:	The system of coordinates M1: Station at the origin, M2: Station was laid on the Z-axis S1 and S2: Two successive positions of the satellite between the two stations

The origin was placed at the first station M₁, the Z-axis was passed through the second station M₂. The XZ plane was passed through the first observed satellite S₁ and Y-axis was completed the right hand system, with X and Z-axis.

In this frame of reference, the error of Z-coordinate of M₂ station was equivalent to the error of the distance.

Vectors having origin at M_i station and the end at S_j satellite and ρ_ij were topocentric distance (from the station to the satellite), θ_ij, φ_ij were angular coordinates of the satellite measured as seen from Fig. 1.

THE EQUATIONS OF CONDITION

From Fig. 1, we have:

(1)

where, (x_j, y_j, z_j) and (X_i, Y_i, Z_i); (j, i = 1, 2) are the coordinates of the satellite and station, respectively. Differentiation of (1), gives the equations of condition:

(2)

Where:

We must put in Eq. 2:

(3)

Besides, it must be taken into account that this problem could allow to determine only relative positions of satellites. In addition, the position of M₁ station must be taken as known, this gives:

(4)

Now, with Eq. 4, we have nine unknowns, three coordinates for every position of the satellite and three coordinates of M₂ station. However, it is possible to write only eight Eq. 2 types and it is necessary to add one more equation, which is given by the range measurements to these eight equations. Let us consider this measured distance to correspond to indices i = j = 1, such supposition do not break the generality, because every measured distance can be taken for ρ₁₁ at the proper choice of the frame of reference. For the range measurement, we have the equation of condition, taking into account the conditions of Eq. 3 and 4:

(5)

Solving Eq. 1-5 with respect to the correction dZ₂ as an example, we obtain after sufficiently troublesome computations, the following expression:

(6)

Where:

Let us suppose that , dθ_ij are independent random values distributed according to the normal laws with the equal dispersion σ²₀ (σ²₀ is the square of the mean quadratic error of one measurement). The random value dρ₁₁ is also considered to be independent and normal and its dispersion is taken to be χ² σ²₀, where χ a coefficient is transforms the dimensions and the values of the angular errors into the dimensions and the values of the range error. The dispersion of dZ₂ is determined by the formula:

(7)

The mean square error of dZ₂ can be obtained by computing the square root from the both parts of Eq. 7. Let us analyze now the expression (7), the second item of the right hand side of (7) does not depend on φ and the first item as can easily seen has minimum at sin² φ = 1 which corresponds to the condition:

It means that planes of synchronous observations must be perpendicular one to another. At sin² φ = 1, then we have:

(8)

where, the angles φ₂₁ and (θ₂₁-θ₁₁) may be considered as naturally independent variables. The expression between brackets in the right hand side of Eq. 8 has minimum at cos² θ₂₁ = cos² (θ₂₁-θ₁₁) = 0. It corresponds to sin² θ₂₁ = 1 (i.e., when sin² θ₂₁, is maximum).

In this case, we have the solution with physical meaning:

(9)

According to this solution, the first satellite must Zlace at the point M₂. In this case ρ₂₁ naturally is equal to zero. Finally, we obtained the following minimum dispersions of dZ₂: