PATENT CLAIM ANALYSIS

Application Number: 16070334
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["375", "262000"]

Abstract:
In order to quickly perform estimation processing while suppressing a deterioration in estimation accuracy caused by the impact of an obstacle present in the vicinity of a sensor, an impact-level assessment unit assesses the level of the impact imparted on an observable at another location by an observable detected by a sensor for detecting observables, which represent the features of an electrical signal obtained by receiving a radio wave. In addition, a weighting factor calculation unit calculates a sensor weighting factor on the basis of the position of the estimation location at which the observable is to be estimated, the position of the sensor, and the assessed impact level from the impact-level assessment unit. Furthermore, a weighted averaging unit estimates the observable at the estimation location by calculating a weighted average of the observable detected by the sensor, by using the sensor weighting factor calculated by the weighting factor calculation unit.

Claim (Index 5):
The radio environment estimation device according to any one of  claims 1  to  4 , further comprising:\n observation amount estimation means for calculating an estimated observation amount that is an estimated value of an observation amount detected by a target sensor being the sensor to be an impact-level assessment target; and \n similarity level calculation means for calculating a similarity level between the estimated observation amount and the observation amount detected by the target sensor, wherein \n the impact-level assessment means assesses the impact level, based on the similarity level calculated by the similarity level calculation means.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 95.0
- Lexical Diversity: 2.3
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13145843', '15779926', '15064898', '15544068', '10556128']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4536574942436569
- 35 USC 102 Novelty (BERT): 0.4860150660216545
- Combined Prediction Score: 0.4568932514214567
- Mean Citation Score: 156.995792
- Max Citation Score: 165.2083
- Similarity Product: 107.53927297479513

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test