PATENT CLAIM ANALYSIS

Application Number: 15862499
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["370", "330000"]

Abstract:
Fiber, cable, and wireless data channels are typically impaired by reflectors and other imperfections, producing a channel state with echoes and frequency shifts in data waveforms. Here, methods of using OTFS pilot symbol waveform bursts to automatically produce a detailed 2D model of the channel state are presented. This 2D channel state can then be used to optimize data transmission. For wireless data channels, an even more detailed 2D model of channel state can be produced by using polarization and multiple antennas in the process. Once 2D channel states are known, the system turns imperfect data channels from a liability to an advantage by using channel imperfections to boost data transmission rates. The methods can be used to improve legacy data transmission modes in multiple types of media, and are particularly useful for producing new types of robust and high capacity wireless communications using non-legacy OTFS data transmission methods.

Claim (Index 30):
The method of  claim 28 , wherein the 2D channel state is at least partially determined by using at least one 2D impulse response to mathematically describe how the impaired data channel causes at least some of the OTFS pilot symbol waveform bursts P t1,f1 \u00b7W p (t 1 , f 1 ) transmitted at a first time-frequency coordinate to be projected onto different OTFS pilot symbol waveform bursts P t2,f2 \u00b7W p (t 2 , f 2 ) originally transmitted at a different time-frequency coordinate, and bins different from those nominally corresponding to said OTFS pilot symbol waveform bursts P t1,f1 W p (t 1 , f 1 ).

Metadata:
- Claim Count in Document: 56.0
- Percentile: 86.0
- Lexical Diversity: 1.92857
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14805407', '14583911', '15263103', '15604072', '15573793']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6955659279268747
- 35 USC 102 Novelty (BERT): 0.6463142324706322
- Combined Prediction Score: 0.6906407583812504
- Mean Citation Score: 627.0977379999998
- Max Citation Score: 650.1668
- Similarity Product: 577.9493392799855

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