PATENT CLAIM ANALYSIS

Application Number: 16045402
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["370", "278000"]

Abstract:
A full-duplex transceiver is provided with componentry and methods for cancellation of nonlinear self-interference signals. The transceiver is capable of receiving an incoming radio-frequency signal that includes both a desired radio-frequency signal component and a self-interference component caused by the transceiver's own radio-frequency transmission. The transceiver demodulates the incoming radio-frequency signal to generate a first demodulated signal. The transceiver combines an analog corrective signal with the first demodulated signal to generate a second demodulated signal with reduced self-interference. The transceiver processes the first and second demodulated signals to determine a desired incoming baseband signal and to determine nonlinear components of the self-interference signal, such as nonlinearities introduced by the transceiver's power amplifier.

Claim (Index 7):
The method of  claim 6  wherein each dedicated training signal is one or more of time domain multiplexed before transmission in an outgoing signal, frequency domain multiplexed before transmission in an outgoing signal, or code division multiplexed before transmission in an outgoing signal.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 95.0
- Lexical Diversity: 2.14286
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15334013', '14993797', '14301088', '15811514', '14451672']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5500349307398273
- 35 USC 102 Novelty (BERT): 0.5263717671331071
- Combined Prediction Score: 0.5476686143791554
- Mean Citation Score: 259.09641400000004
- Max Citation Score: 323.9386
- Similarity Product: 230.9064545691967

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

Dataset: test