PATENT CLAIM ANALYSIS

Application Number: 16094207
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-03
Patent Classification: ["455", "456100"]

Abstract:
Disclosed are a positioning method and device for improving precision of positioning. The method comprises: acquiring an electrical signal vector in a current location of a UE device, and determining a current base station of the UE device; determining multiple mesh areas corresponding to a coverage area of the base station; and determining the current location of the UE device according to a distance between the electrical signal vector in the current location of the UE device and an electrical signal vector in each of the mesh areas and a preset reference distance corresponding to the base station.

Claim (Index 8):
A locating apparatus, comprising:\n a memory storing one or more instructions; and a processor configured to execute the one or more instructions to: obtain an electrical signal vector of a current position of a User Equipment (UE); determine a base station currently serving the UE; determine a plurality of grids corresponding to a coverage area of the base station; and determine the current position of the UE according to distances between the electrical signal vector of the current position of the UE and a preset electrical signal vector of each of the grids, and according to a preset reference distance corresponding to the base station.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 97.0
- Lexical Diversity: 2.4186
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16067122', '14983116', '10040621', '14978623', '15611453']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6761170063867081
- 35 USC 102 Novelty (BERT): 0.4744914072072403
- Combined Prediction Score: 0.6559544464687613
- Mean Citation Score: 163.15257400000004
- Max Citation Score: 174.45906000000005
- Similarity Product: 128.5741623208523

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

Dataset: test