One More Strategy For AZ191
519��(��ik?0.342��ij)yb=?Yb+?1.428�˦�ijzb=?��|b��|2??xb2??yb2 (30) In accordance with Formula (Some), although the DD design eradicates the recipient time blunder and the satellite tv for pc time error, the expense of the particular DD measurement noises root indicate sq mistake can be 2 times than the SD dimension, that is normally about A single centimetres (we.elizabeth., about Zero.05 Gps device L1wavelength). Therefore, in accordance with Equation (30), the particular sounds root suggest rectangular blunder (rmse(b��)) with the standard vector (b��?=?(xb;?yb;?zb)) is actually indicated because: {rmse(xb)?=?0.102?��rmse(yb)?=?0.071?��rmse(zb)?��?0.173?�� AZ191 (21) Now, according to Equation (21), the noise error of the ambiguity function (F(x,?y,?z)) is analyzed: F(x,?y,?z)?=?1N?1��j=1N?1cos2��?����ij??b����(sm��?si)���� (22) For the convenience of analysis, the satellite vector (sm��?si��) of selleck kinase inhibitor the other DD equation is converted through the rotation matrix from the local level frame (LLF) to the new coordinate system (O?XbYbZb): [(sm��?si)b(x)��(sm��?si)b(y)��(sm��?si)b(z)��]=[Ry(��)Rx(��)Rz(��)][(sm��?si)LLF(x)��(sm��?si)LLF(y)��(sm��?si)LLF(z)��] (23) Then, Equation (23) is substituted into Equation (12) and the result is expressed as: ?��N^im=??����im+?��im??(sm��?si��)b��(xb,yb,zb)T��?��N^im=??����im+?��im??(sm��?si��)b(x)��xb+?(sm��?si��)b(y)��yb+?(sm��?si��)b(z)��zb�� (24) where ��im is the noise error of the DD equation (the satellite vector: sm��?si��); ?��N^im is the float ambiguity. The Equation (21) is substituted into Equation (24), the noise root mean square error (rmse(?��N^im)) of the float ambiguity is expressed as: rmse(?��N^im)?=rmse(��im)+?(sm��?si��)b��rmse(xb,yb,zb)T��rmse(?��N^im)?��?0.05?+?(sm��?si��)b(x)��0.102?+?(sm��?si��)b(y)��0.071?+?(sm��?si��)b(z)��0.173 (25) 4.2. Ambiguity Decorrelation Adjustment of the Geometric Relationship selleckchem According to the previous analysis, if the basic equations (Equation (6)) of the DD model are determined, the satellite parameters (sj��?si��,sk��?si��,?��bik) are also determined. The method for satellite selection is based on Equation (9). According to Equation (25), the value (rmse(?��N^im)) of the float ambiguity is only related to the other satellite vector (sm��?si��)b and the candidate vector (b��?=?(xb;?yb;?zb)). It represents the geometric relationship between the candidate vector and the satellite vector. If the correlation of geometric relationship is smaller, the value (rmse(?��N^im)) of the float ambiguity is smaller. Thus, we need to find the suitable satellite vector (sm��?sx��), so that the value (rmse(?��N^im)) of the float ambiguity is the smallest. This process is equivalent to ambiguity decorrelation adjustment of the LAMBDA method [10,11,12]. If this value (rmse(?��N^im)) is smaller, the correlation interference of the noise error is smaller and the robustness of the ambiguity function (F(x,?y,?z)) is better. In contrast to the LAMBDA method, this method gets better performance in reducing computational complexity. 4.3.
