PATENT CLAIM ANALYSIS

Application Number: 15964815
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-01
Patent Classification: ["398", "128000"]

Abstract:
Aspects of the present disclosure describe systems, methods, and structures for physical layer security using hybrid free-space optical and terahertz transmission technologies that advantageously overcome atmospheric characteristics that infirmed the prior art.

Claim (Index 1):
A communications system employing a hybrid free-space optical (FSO) terahertz (THz) physical layer security scheme comprising:\n a transmitter including:\n a binary-to-nonbinary converter that converts an input binary sequence; \n a non-binary LDPC encoder that encodes the nonbinary symbols and provides parity symbols to a mapper/modulator; \n a multidimensional mapper that maps the nonbinary symbols; and \n a free space optical and THz transmitter for transmitting the symbols via a FSO and THz channel(s) respectively; \n a receiver including:\n a FSO and a THz receiver for receiving transmissions on the FSO and THz channel(s) respectively; \n a nonbinary a posteriori probability (APP) demapper which receives any data from the FSO and THz receivers and the mapped/modulated parity symbols from the mapper/demodulator, said APP calculates symbol log-likelihood ratios (LLRs); and \n a nonbinary LDPC decoder that receives the LLRs and outputs any corrected symbols transmitted.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 91.0
- Lexical Diversity: 1.12903
- Patent Class: 398.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15922197', '15964790', '15897930', '15897913', '15897944']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6418974191853198
- 35 USC 102 Novelty (BERT): 0.4955038245000102
- Combined Prediction Score: 0.6272580597167888
- Mean Citation Score: 168.140792
- Max Citation Score: 225.60464
- Similarity Product: 190.5562398322868

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

Dataset: test