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 26):
The method of  claim 22  wherein a 9\u00d79 matrix L is used to accumulate T T \u00d7T and a 9\u00d71 matrix M is used to accumulate T T \u00d7U, where L and M are updated for each measurement according to\n T N =[ B x 2 +B y 2 \u22122 B z 2 B x 2 \u22122 B y 2 +B z 2 2 B x \u00b7B y 2 B x \u00b7B z 2\u00b7 B y \u00b7B z \u22122 B x \u2212B y \u22122 B z 1] N  \n U N =( B x 2 +B y 2 +B z 2 ) N  \n L N+1 =L N +( T N+1 T \u00d7T N+1 ) and \n M N+1 =M N +( T N+1 T \u00d7U N+1 ).

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): 0.2127647207457187
- 35 USC 102 Novelty (BERT): 0.5399392339180756
- Combined Prediction Score: 0.2454821720629544
- Mean Citation Score: 221.036618
- Max Citation Score: 377.4378
- Similarity Product: 249.9273779349089

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