PATENT CLAIM ANALYSIS

Application Number: 15906464
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["375", "347000"]

Abstract:
A method in a node is disclosed. The method comprises receiving a signal, and obtaining a first oversampled received signal by sampling the received signal according to a symbol rate. The method further comprises estimating a first frequency offset based on the first oversampled received signal, the first frequency offset estimated using an estimation range limited to one of a bandwidth of the received signal or the symbol rate of the received signal, and obtaining a second oversampled received signal by sampling the received signal according to N times the symbol rate, wherein N is greater than 1. The method further comprises estimating a true frequency offset based on the first frequency offset estimate and the second oversampled received signal.

Claim (Index 14):
The node of  claim 13 , wherein the one or more processors are further configured to:\n generate a plurality of signals, each of the plurality of generated signals comprising a noise-free received signal with a frequency offset applied, the applied frequency offset comprising one of the determined set of possible aliased frequency offsets corresponding to the estimated first frequency offset; compare one or more of the generated signals to the second oversampled received signal; and determine one of the applied frequency offsets to be the true frequency offset based at least in part on the comparison of one or more of the generated signals to the second oversampled received signal.

Metadata:
- Claim Count in Document: 49.0
- Percentile: 88.0
- Lexical Diversity: 2.56
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15004275', '15004234', '14864831', '14913339', '13746219']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4735537155403493
- 35 USC 102 Novelty (BERT): 0.5609908225901397
- Combined Prediction Score: 0.4822974262453284
- Mean Citation Score: 257.043164
- Max Citation Score: 442.22095
- Similarity Product: 380.4328535755098

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