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 23):
The computer program product of  claim 21 , wherein the act of estimating the true frequency offset based on the first frequency offset estimate and the second oversampled received signal comprises:\n generating a noise-free received signal without a frequency offset applied; applying an element-wise multiplication of the second oversampled received signal with a complex conjugate of the generated noise-free received signal to generate a new signal; and determining an aliased frequency offset within the determined set of possible aliased frequency offsets to be the true frequency offset, wherein the aliased frequency offset determined to be the true frequency offset is an aliased frequency offset within the determined set of possible aliased frequency offsets that is most similar to the generated new signal.

Metadata:
- Claim Count in Document: 49.0
- Percentile: 88.0
- Lexical Diversity: 2.56
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15004275', '15004234', '14864831', '14913339', '13746219']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5048936401339486
- 35 USC 102 Novelty (BERT): 0.5600436320592252
- Combined Prediction Score: 0.5104086393264763
- Mean Citation Score: 257.043164
- Max Citation Score: 442.22095
- Similarity Product: 354.0468863868684

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

Dataset: test