PATENT CLAIM ANALYSIS

Application Number: 16405728
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-10
Patent Classification: ["702", "092000"]

Abstract:
Methods and apparatuses for calibrating attitude-independent parameters of a 3-D magnetometer are provided. A calibration method includes storing and updating data related to a N×9 matrix T and a N×1 matrix U extended for each measurement with an additional row and an additional element, respectively, the additional row and the additional element being calculated based on values measured by the 3-D magnetometer for the respective measurement. The method further includes calculating analytically (1) a symmetric non-orthogonal 3×3 matrix D representing scaling and skew of the 3-D magnetometer measured values and (2) a vector b representing bias of the 3-D magnetometer measured values, using the stored data and a singular value decomposition (SVD) method.

Claim (Index 36):
The apparatus of  claim 35  further wherein the data processing unit estimates accuracy of determining the symmetric non-orthogonal 3\u00d73 matrix D and the vector b by computing matrices Y 1 = [ 0 0 0 2 3 \ue89e pD 11 0 - 2 3 \ue89e pD 33 2 3 \ue89e pD 12 0 - 2 3 \ue89e pD 23 0 0 0 2 3 \ue89e pD 11 - 2 3 \ue89e pD 22 0 0 2 3 \ue89e pD 13 - 2 3 \ue89e pD 23 0 0 0 pD 12 pD 12 0 pD 11 + pD 22 pD 23 pD 13 0 0 0 pD 13 0 pD 13 pD 23 pD 11 + pD 33 pD 12 0 0 0 0 pD 23 pD 23 pD 13 pD 12 pD 22 + pD 33 pD 11 pD 12 pD 13 b x 0 0 b y b z 0 pD 12 pD 22 pD 23 0 b y 0 b x 0 b z pD 13 pD 23 pD 33 0 0 b z 0 b x b y 2 \ue89e b x 2 \ue89e b y 2 \ue89e b z 0 0 0 0 0 0 ] Y 2 = K \u00d7 [ 0 0 0 4 3 \ue89e pD 11 4 3 \ue89e pD 22 4 3 \ue89e pD 33 2 \ue89e pD 12 2 \ue89e pD 13 2 \ue89e pD 23 ] \u2202 K \u2202 J = 1 co \u00b7 ( Y 1 - Y 2 ) L N + 1 = L N + ( T N + 1 T \u00d7 T N + 1 ) \ue89e \ue89e and P KK = \u03c3 z 2 \u00b7 L - 1 ; where \u03c3 z 2 =12\u00b7|H| 2 \u00b7\u03c3 2 +6\u00b7\u03c3 4 ; and \u03c3 is a constant standard deviation of a transformed measurement noise vector of the 3-D magnetometer; calculating an error covariance matrix P JJ = ( \u2202 K \u2202 J ) - 1 \u00d7 P KK \u00d7 ( \u2202 K \u2202 J ) - 1 ; and\n computing error of the elements of b and D as elements of\n J =[ b x b y b z pD 11 pD 22 pD 33 pD 12 pD 13 pD 23 ] T  \n according to \n \u03b5 J =sqrt(diag( P JJ )) \n \n wherein \n pD = I 3 \u00d7 3 + D = [ pD 11 pD 12 pD 13 pD 12 pD 22 pD 23 pD 13 pD 23 pD 33 ] , \n \ue89e K = ( T T \u00d7 T ) - 1 \u00d7 T T \u00d7 U co = \uf603 H \uf604 2 [ K \ue8a0 ( 6 ) K \ue8a0 ( 7 ) K \ue8a0 ( 8 ) ] \u00d7 F - 1 \u00d7 [ K \ue8a0 ( 6 ) K \ue8a0 ( 7 ) K \ue8a0 ( 8 ) ] T - K \ue8a0 ( 9 ) where |H| 2  is a square of local geomagnetic field strength; and K(i) represents the i th  element of vector K.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 100.0
- Lexical Diversity: 1.76056
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13885248', '12501587', '10724974', '11251434', '15542931']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2111838299535786
- 35 USC 102 Novelty (BERT): 0.5408387538352867
- Combined Prediction Score: 0.2441493223417494
- Mean Citation Score: 221.036618
- Max Citation Score: 377.4378
- Similarity Product: 329.5248737740159

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test