Research Article

Bayesian Estimation Applied to Stochastic Localization with Constraints due to Interfaces and Boundaries

Table 2

Statistical values about the estimation results of 2D parallel beam geometry for cases (A)–(E) with 10,000 sample points each are presented for the six 2D estimators. The radial estimation error is presented at first and the coordinate estimation errors of ( ) are shown in brackets. In the following the formulas for the statistical values are presented for the radial error: the mean value , the standard deviation , the absolute maximum , the Root Mean Square Error (RMSE) and the gain of method relative to ML .

Case Method Mean st. deviation abs. maximum Radial RMSE

3.77 (−0.0,0.0) 1.94 (3.0,3.0) 11.90 (11.1,10.9) 4.24 (3.0,3.0)
ML 2.67 (−0.0,0.0) 1.48 (2.2,2.2) 9.75 (9.2,8.3) 3.05 (2.2,2.2)
A MAPnp 2.35 (−0.3,−0.3) 1.35 (1.9,1.9) 9.75 (7.5,8.3) 2.71 (1.9,1.9)
MMSEnp 2.31 (−0.9,−0.9) 1.32 (1.6,1.7) 9.65 (7.5,8.2) 2.67 (1.9,1.9)
MAP 2.05 (0.6,0.6) 1.11 (1.5,1.5) 8.38 (6.5,6.3) 2.33 (1.7,1.7)
MMSE 1.79 (0.0,0.0) 0.96 (1.4,1.4) 7.93 (6.1,5.8) 2.03 (1.4,1.4)

ML 3.79 (−0.0,−0.0) 1.99 (3.0,3.0) 13.43 (13.2,11.7) 4.28 (3.0,3.0)
MAPnp 3.29 (−0.4,−0.4) 1.83 (2.7,2.6) 12.77 (12.6,11.5) 3.76 (2.7,2.7)
B MMSEnp 3.10 (−1.2,−1.2) 1.68 (2.2,2.2) 10.99 (10.3,10.9) 3.52 (2.5,2.5)
MAP 2.56 (0.7,0.7) 1.34 (1.9,1.9) 8.95 (8.8,8.3) 2.89 (2.0,2.1)
MMSE 2.28 (0.0,0.0) 1.20 (1.8,1.8) 8.84 (8.6,8.1) 2.58 (1.8,1.8)

ML 1.99 (−0.0,−0.0) 1.13 (1.6,1.6) 8.40 (7.0,7.2) 2.29 (1.6,1.6)
MAPnp 1.81 (−0.2,−0.2) 1.05 (1.5,1.5) 7.00 (5.8,6.2) 2.09 (1.5,1.5)
C MMSEnp 1.76 (−0.6,−0.6) 1.02 (1.3,1.3) 7.00 (5.8,6.2) 2.03 (1.4,1.5)
MAP 1.67 (0.4,0.4) 0.94 (1.3,1.3) 7.18 (5.5,5.7) 1.92 (1.4,1.4)
MMSE 1.48 (0.0,0.0) 0.82 (1.2,1.2) 6.95 (5.0,5.6) 1.70 (1.2,1.2)

ML 2.68 (0.0,0.0) 1.48 (2.2,2.2) 9.47 (7.8,9.0) 3.06 (2.2,2.2)
MAPnp 2.23 (−0.4,−0.4) 1.32 (1.8,1.8) 9.47 (7.4,7.9) 2.59 (1.8,1.8)
D MMSEnp 2.35 (−1.2,−1.2) 1.32 (1.5,1.5) 9.45 (7.5,7.9) 2.69 (1.9,1.9)
MAP 1.38 (0.4,0.4) 0.76 (1.1,1.1) 5.78 (5.0,4.4) 1.57 (1.1,1.1)
MMSE 1.29 (0.0,0.0) 0.67 (1.0,1.0) 5.69 (4.6,4.2) 1.45 (1.0,1.0)

1.88 (0.0,0.0) 0.99 (1.5,1.5) 6.48 (6.4,6.2) 2.13 (1.5,1.5)
ML 1.33 (0.0,−0.0) 0.74 (1.1,1.1) 4.93 (3.8,4.2) 1.52 (1.1,1.1)
E MAPnp 1.24 (−0.1,−0.1) 0.70 (1.0,1.0) 4.93 (3.8,4.2) 1.42 (1.0,1.0)
MMSEnp 1.20 (−0.3,−0.3) 0.68 (0.9,0.9) 4.93 (3.8,4.2) 1.38 (1.0,1.0)
MAP 1.22 (0.2,0.2) 0.67 (1.0,1.0) 4.74 (3.5,4.6) 1.39 (1.0,1.0)
MMSE 1.11 (0.0,0.0) 0.61 (0.9,0.9) 4.72 (3.4,4.6) 1.27 (0.9,0.9)