PATENT CLAIM ANALYSIS

Application Number: 15989613
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["370", "329000"]

Abstract:
A receiver includes multi-user detection (MUD) functionality and a cognitive engine. The receiver may also be coupled to multiple antennas and have analog beamforming capability. The cognitive engine is operative for selecting a beam or beams associated with the multiple antennas to enable successful demodulation by the MUD. The receiver has application in multiple access channels and in other communication scenarios.

Claim (Index 63):
A parameter estimator for computing parameters for each signal within each of a plurality of receive beams for a communication device, the parameter estimator comprising:\n a direction of arrival estimator configured to estimate angles of arrival to the communication device of signals received from each of a plurality of signal sources; a power and signal-to-noise (SNR) estimator configured to estimate a power and a SNR for each received signal, wherein noise does not include a signal of interest; a beam dynamic range calculator configured to calculate dynamic ranges between the signal of interest and an interfering signal based on their respective estimated directions of arrival and estimated powers; a gradient calculator configured to determine gradients between a plurality of radio frequency (RF) linear combiner weights and the calculated dynamic ranges; and a low-quality parameter estimator configured to generate a bandwidth, or a modulation type, or a carrier offset, or a phase offset, or any combination of these, and to communicate such parameters with the calculated dynamic ranges and determined gradients to a cognitive engine.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 93.0
- Lexical Diversity: 1.39583
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14648049', '14437882', '14677580', '13242217', '15329002']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.499158315831342
- 35 USC 102 Novelty (BERT): 0.5205284625228785
- Combined Prediction Score: 0.5012953305004958
- Mean Citation Score: 181.445374
- Max Citation Score: 336.07056
- Similarity Product: 265.57018616864207

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