PATENT CLAIM ANALYSIS

Application Number: 16070843
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["375", "350000"]

Abstract:
Apparatus and associated method for unambiguously evaluating high-bandwidth, rapidly changing analog range data in real time using low-cost components that allow detection of the signal of interest using a sampling rate that is lower than the Nyquist rate required to directly evaluate the full range data bandwidth.

Claim (Index 11):
A range finding method, comprising:\n illuminating a surface of a distant object with a known frequency modulated laser beam over a known bandwidth; mixing the light reflected from the surface of the distant object with some fraction of the original illumination light on a photodetector; generating a range-encoded beat tone having an unknown frequency within a known maximum range dependent frequency bandwidth from the mixed light; and unambiguously determining the frequency of the range encoded beat tone by: splitting the beat signal having an unknown frequency \u03c9 RF  into two halves of equal power; mixing one of the two split signals with a first signal having a known frequency \u03c9 LO1 ; and mixing the other of the two split signals with a second signal having a known frequency \u03c9 LO2 ; wherein the first known frequency \u03c9 LO1  is at least one-half of the known signal bandwidth and the second known frequency \u03c9 LO2  is higher than \u03c9 LO1 , further wherein the difference between \u03c9 LO2  and \u03c9 LO1  is a lowest expected frequency of the unknown signal within the known signal bandwidth.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 95.0
- Lexical Diversity: 1.19512
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10976500', '15803002', '12143166', '13096513', '16081732']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4826466030242239
- 35 USC 102 Novelty (BERT): 0.4885802453503252
- Combined Prediction Score: 0.483239967256834
- Mean Citation Score: 214.319512
- Max Citation Score: 238.07585
- Similarity Product: 186.20466175069512

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