PATENT CLAIM ANALYSIS

Application Number: 16384621
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["455", "066100"]

Abstract:
A large-scale radio frequency signal information processing and analysis system that provides advanced signal analysis for telecommunication applications, including band capacity and geographical density determinations and detection, classification, identification, and geolocation of signals across a wide range of frequencies and across broad geographical areas. The system may utilize a range of novel algorithms for bin-wise processing, Rayleigh distribution analysis, telecommunication signal classification, receiver anomaly detection, transmitter density estimation, transmitter detection and location, geolocation analysis, telecommunication activity estimation, telecommunication utilization estimation, frequency utilization estimation, and data interpolation.

Claim (Index 2):
The system of  claim 1 , wherein one of the algorithms used to detect, confirm, or analyze signals is a novel implementation of a bin-wise processor, comprising at least an additional plurality of programming instructions stored in the at least one memory of, and operating on at least one processor of, the computing device, wherein the additional plurality of programming instructions, when operating on the at least one processor, cause the computing device to:\n receive signal information; average or sum the values in a given frequency bin over a number of frequency domain samples to reduce the variance in the signals and noise levels and thereby allow for low or negative signal-to-noise ratio (SNR) radio frequency signal detection; find the median value in each frequency bin over a number of frequency domain samples to overcome the effects of a signal that is significantly stronger or weaker than the average; find the maximum value, or minimum value, or both, in each frequency bin over a number of frequency domain samples and use to resolve signals that are continuously present and signals that are intermittent in time; find the mean, median, maximum, minimum, variance, skew, and kurtosis values plus the time component for a bin or set of bins in a geographical area, and compare each statistic to the same statistic computed for that bin or set of bins over a larger area to identify deviations and identify anomalies; perform bin-by-bin processing of the average, median, maximum, minimum, variance, skew and kurtosis values over a number of frequency domain samples to reduce the quantity of data in results and expedite processing; adjust the number of frequency domain samples used in the average, median, minimum, maximum, variance, skew, and kurtosis to increase or decrease time resolution as needed and thereby aid in signal detection; combine frequency bins as needed, using average, median, minimum, maximum, variance, skew, and kurtosis value to reduce quantity while also detecting the presence of signals; combine the frequency domain samples over time to reduce noise and improve signal detection.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 100.0
- Lexical Diversity: 1.88889
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15991540', '16383054', '14087441', '14331706', '14636908']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6848003207869233
- 35 USC 102 Novelty (BERT): 0.4789992114475685
- Combined Prediction Score: 0.6642202098529878
- Mean Citation Score: 133.90968600000002
- Max Citation Score: 161.19063
- Similarity Product: 109.87639723551212

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