PATENT CLAIM ANALYSIS

Application Number: 16166096
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["398", "079000"]

Abstract:
A hybrid distributed amplification method based on a random fiber laser generated within erbium fiber with low doping concentration, i.e. weak erbium-doped fiber (WEDF), which includes: Step 1. constructing a fiber link via WEDF; Step 2. generating the random fiber laser based on the fiber link, the pump source, the wavelength division multiplexer and the strong feedback module; Step 3. constructing the spatial equalized gain based on hybrid gain of the erbium fiber and random fiber laser; Step 4. the signal is amplified by the hybrid spatial equalized gain. The present invention solves the typical problem of high laser threshold and low pump conversion efficiency when conventional fiber is used to generate random fiber laser for distributed amplification.

Claim (Index 1):
A hybrid distributed amplification method based on random lasing generated within weak erbium-doped fiber (WEDF), comprises steps of:\n step (1) constructing a fiber link via WEDF; step (2) combined with the pump source, the wavelength division multiplexer and the strong feedback module, generating a random fiber laser based on the fiber link; step (3) constructing a pump for amplification of WEDF based on the random fiber laser, meanwhile performing distributed Raman amplification by the random fiber laser, so that a distributed amplification method using the hybrid of WEDF and Raman effects is capable of constructing a spatially equalized gain distribution along the fiber; and step (4) performing hybrid distributed amplification within WEDF and the Raman fiber random laser to achieve spatially equalized gain distribution along the fiber.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 97.0
- Lexical Diversity: 1.79452
- Patent Class: 398.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14201915', '13637910', '12008752', '11543591', '10282409']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7239120961863574
- 35 USC 102 Novelty (BERT): 0.5460917974380116
- Combined Prediction Score: 0.7061300663115229
- Mean Citation Score: 291.826416
- Max Citation Score: 354.3232
- Similarity Product: 270.89766543655395

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