PATENT CLAIM ANALYSIS

Application Number: 16219119
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-06
Patent Classification: ["342", "357270"]

Abstract:
A method for reduced-outlier satellite positioning includes receiving a set of satellite positioning observations at a receiver; generating a first receiver position estimate; generating a set of posterior observation residual values from the set of satellite positioning observations and the first receiver position estimate; based on the set of posterior observation residual values, identifying a subset of the satellite positioning observations as statistical outliers; and after mitigating an effect of the statistical outliers, generating a second receiver position estimate having higher accuracy than the first receiver position estimate.

Claim (Index 9):
The method of  claim 2 , wherein identifying the subset of the satellite positioning observations as statistical outliers comprises using the variance threshold technique; wherein using the scaled residual technique comprises:\n generating a set of posterior observation residual covariances from the set of posterior observation residual values; calculating a set of posterior observation residual variances from the set of posterior observation residual covariances; identifying a presence of statistical outliers in the set of satellite positioning observations based on a first number of the set of posterior observation residual variances being outside a threshold range; generating a first reduced set of satellite positioning observations by removing a first subset of the set of satellite positioning observations; recalculating the set of posterior observation residual variances using the first reduced set of satellite positioning observations; determining that a number of the set of recalculated posterior observation residuals outside the threshold range is lower than the first number; and in response to this determination, identifying a subset of the set of satellite positioning observations as statistical outliers.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 98.0
- Lexical Diversity: 2.15909
- Patent Class: 342.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13059415', '13059463', '13059413', '13059416', '13059428']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5391769737165227
- 35 USC 102 Novelty (BERT): 0.4725824401341718
- Combined Prediction Score: 0.5325175203582877
- Mean Citation Score: 141.80843199999995
- Max Citation Score: 143.5
- Similarity Product: 98.16425755620004

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