GNSSer

通用平差器

说明

  1. 直接将矩阵写入文本框，点击上传并计算后，服务器自动进行计算，结果直接返回到本页面
  2. 文本格式见网页下方的例子
  3. 非卡尔曼滤波不需要，状态转移矩阵和噪声模型
  4. Estimated和RmsOfEstimated为非必须，Apriori只需具有第一个或非必须；
  5. 分隔符可以为制表符和英文逗号，二维矩阵（系数阵）按照一维数值顺序存储；

注意：计算时间取决于文件大小，一般数秒到数分钟，请耐心等待。。。

输出结果

以下是输入例子

AdjustObsMatrix
ParamNames:Dx,Dy,Dz,cDt_r
Observation
7×1
24687793.46958
21590739.33449
20291491.06852
22299312.57567
23636363.60561
20602230.22249
22323825.93223
ParamNames:G04,G09,G12,G14,G17,G24,G25
7×7
 723.3469,        0,        0,        0,        0,        0,        0
        0, 22.71322,        0,        0,        0,        0,        0
        0,        0,  9.30904,        0,        0,        0,        0
        0,        0,        0,  27.8756,        0,        0,        0
        0,        0,        0,        0, 80.08175,        0,        0
        0,        0,        0,        0,        0, 10.40541,        0
        0,        0,        0,        0,        0,        0, 31.52474
RowNames:G04,G09,G12,G14,G17,G24,G25
ColNames:G04,G09,G12,G14,G17,G24,G25

FreeVector
7×1
24687710.15574
21590656.99841
20291408.73988
22299231.15647
23636281.16753
20602148.28624
22323743.406
ParamNames:G04,G09,G12,G14,G17,G24,G25

Apriori
4×1
        0
        0
        0
        0
ParamNames:Dx,Dy,Dz,cDt_r
4×4
  1000000,        0,        0,        0
        0,  1000000,        0,        0
        0,        0,  1000000,        0
        0,        0,        0,  1000000
RowNames:Dx,Dy,Dz,cDt_r
ColNames:Dx,Dy,Dz,cDt_r

Coefficient
7×4
-0.0211145,-0.988704,-0.148387,        1
-0.589635,-0.723618,-0.358758,        1
-0.721286, 0.242736, -0.64871,        1
-0.027752,   0.6429,-0.765447,        1
 0.286209,-0.632566,-0.719684,        1
-0.668749,-0.382395,-0.637612,        1
-0.663407, 0.720743,-0.201049,        1

Transfer
4×4
        1,        0,        0,        0
        0,        1,        0,        0
        0,        0,        1,        0
        0,        0,        0,        0

4×4
    1E-20,        0,        0,        0
        0,    1E-20,        0,        0
        0,        0,    1E-20,        0
        0,        0,        0,90000000000



AdjustObsMatrix
ParamNames:Dx,Dy,Dz,cDt_r
Observation
7×1
24673970.67658
21607414.81749
20286032.04252
22286147.79767
23650350.31961
20609947.00949
22307297.20423
ParamNames:G04,G09,G12,G14,G17,G24,G25
7×7
699.54551,        0,        0,        0,        0,        0,        0
        0, 22.94718,        0,        0,        0,        0,        0
        0,        0,  9.28082,        0,        0,        0,        0
        0,        0,        0, 27.62983,        0,        0,        0
        0,        0,        0,        0, 81.25145,        0,        0
        0,        0,        0,        0,        0, 10.44861,        0
        0,        0,        0,        0,        0,        0,  31.1479
RowNames:G04,G09,G12,G14,G17,G24,G25
ColNames:G04,G09,G12,G14,G17,G24,G25

FreeVector
7×1
24673887.08723
21607332.85348
20285950.12745
22286065.66454
23650267.99634
20609864.86495
22307214.83374
ParamNames:G04,G09,G12,G14,G17,G24,G25

Apriori
4×1
-0.319889
-0.0327122
  1.05569
 82.57054
ParamNames:Dx,Dy,Dz,cDt_r
4×4
 46.25107,-1.335665, 21.83637, 38.74762
-1.335665, 12.44021,  1.78316, 0.494728
 21.83637,  1.78316,118.66531,  80.8396
 38.74762, 0.494728,  80.8396, 71.60785
RowNames:Dx,Dy,Dz,cDt_r
ColNames:Dx,Dy,Dz,cDt_r

Coefficient
7×4
-0.020141,-0.988182,-0.151957,        1
-0.589955,-0.725291,-0.354832,        1
-0.719609, 0.239945,-0.651605,        1
-0.0314074, 0.642679,-0.765492,        1
 0.289482, -0.63174,  -0.7191,        1
 -0.66973,-0.385357,-0.634793,        1
-0.663238, 0.719762,-0.205081,        1

Transfer
4×4
        1,        0,        0,        0
        0,        1,        0,        0
        0,        0,        1,        0
        0,        0,        0,        0

4×4
    1E-20,        0,        0,        0
        0,    1E-20,        0,        0
        0,        0,    1E-20,        0
        0,        0,        0,90000000000
 
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