PATENT CLAIM ANALYSIS

Application Number: 16008068
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["455", "078000"]

Abstract:
Methods and systems for reducing and eliminating the effects of reference signal leakage in multi-module radio-frequency systems, particularly for radio-frequency integrated-circuit devices. Isolation is provided by frequency shifting, by binary phase-shift keying of reference signals to furnish different reference signals with unique signatures to enable separation and discrimination, and by backwards sending of reference signals from receiver to transmitter to avoid contamination of receiver signals by leakage of transmitter reference signals. In addition to improving calibration, methods of the present invention also provide noise reduction in certain multiple-module radio frequency systems.

Claim (Index 1):
A method for calibrating a radio-frequency transmitter-receiver system having a transmitter with a transmitted signal, a receiver with a receiver intermediate frequency signal and a local oscillator signal as a reference signal, and a transmitter downconverter, the method comprising:\n downconverting the transmitted signal via the downconverter to a transmitter intermediate frequency signal according to the local oscillator signal; furnishing the reference signal with a unique signature, allowing the reference signal to be identified; measuring a phase difference between the receiver intermediate frequency signal and the transmitter intermediate frequency signal; and calibrating the transmitter-receiver system according to the phase difference.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 94.0
- Lexical Diversity: 1.63333
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15473884', '10707312', '09688300', '11070483', '12336178']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6833167322214444
- 35 USC 102 Novelty (BERT): 0.5411083503986043
- Combined Prediction Score: 0.6690958940391605
- Mean Citation Score: 221.683376
- Max Citation Score: 387.44824
- Similarity Product: 344.3041464843464

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

Dataset: test