PATENT CLAIM ANALYSIS

Application Number: 15883790
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["375", "260000"]

Abstract:
A user equipment (UE) for channel estimation in a high-speed single-frequency network (HS-SFN) is provided. The UE includes at least one non-transitory computer-readable medium; and at least one processor, which, when executing instructions stored on the at least one non-transitory computer-readable medium, causes the UE to perform a method including calculating an estimated frequency offset (FO) correction for a received signal using at least an FO estimation generated by an automatic frequency control (AFC) module using at least a previously-calculated channel estimate output from a channel estimator (CE) as input in a first feedback loop; and calculating, by the CE, a current channel estimate using at least the received signal adjusted by the estimated FO correction from the first feedback loop and one or more channel parameter estimates generated by the AFC using at least the previously-calculated channel estimate output from the CE as input in a second feedback loop.

Claim (Index 7):
The UE of  claim 6 , wherein calculating the current channel estimate further comprises:\n calculating MMSE combining weights for each tap using at least the four channel parameter estimates (i) through (iv); and performing MMSE combining using the raw CIR and the MMSE combining weights.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 2.22368
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15210468', '14519660', '11467730', '15131781', '14453516']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4870243410819463
- 35 USC 102 Novelty (BERT): 0.5499848708778123
- Combined Prediction Score: 0.4933203940615329
- Mean Citation Score: 232.14206400000003
- Max Citation Score: 402.73800000000006
- Similarity Product: 375.9854219484329

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