PATENT CLAIM ANALYSIS

Application Number: 16038658
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["375", "229000"]

Abstract:
The disclosure relates to a method performed by an optical receiver, the method comprising receiving an optical communication signal comprised in a signal space, the signal comprising a set of received training symbols and a set of received payload symbols, determining a kernel operating in a feature space by using the set of training symbols and a reference set of training symbols indicative of an undistorted version of the training symbols, wherein determining a kernel further comprises determining at least an equalization mapping function ƒ configured to map received symbols to channel equalized symbols, and determining an error function (e) configured to generate a measure indicative of an error between symbols mapped by the equalization mapping function ƒ and an ideal equalization mapping function, performing nonlinear equalization of the payload symbols (C′ 1  to C′ M ) by performing linear equalization of the payload symbols (C′ 1  to C′ M ) in the feature space using the received training symbols (C 1  to C N ) and the error function (e). The disclosure further relates to an optical receiver

Claim (Index 1):
A method performed by an optical receiver, the method comprising:\n receiving an optical communication signal comprised in a signal space, the signal comprising a set of received training symbols and a set of received payload symbols determining a kernel operating in a feature space by using the set of training symbols and a reference set of training symbols indicative of undistorted training symbols, wherein determining a kernel further comprises: determining at least an equalization mapping function \u0192 configured to map received symbols to channel equalized symbols, wherein the received symbols comprise the set of received training symbols and the set of received payload symbols, and determining an error function configured to generate a measure indicative of an error between the channel equalized symbols and ideal symbols, wherein the received symbols is mapped to the ideal symbols through an ideal equalization mapping function, performing nonlinear equalization of the payload symbols by performing linear equalization of the payload symbols in the feature space using the received training symbols and the error function; wherein the nonlinear equalization is performed using Least Mean Square equalization defined by a relation: \u2003 { e \ue8a0 ( i ) = x \ue8a0 ( i ) - h \u2192 \ue8a0 ( i - 1 ) T \ue89e \u03d5 \ue8a0 ( c \u2192 \ue8a0 ( i ) ) h \u2192 \ue8a0 ( i ) = h \u2192 \ue8a0 ( i - 1 ) + \u03bc \ue89e \ue89e e \ue8a0 ( i ) \ue89e \u03d5 \ue8a0 ( c \u2192 \ue8a0 ( i ) ) , where x(i) is an ideal training signal, e(i) is the error function, {right arrow over (h)} (i) is an channel equalization filter weight vector, \u03bc is a step-size parameter, \u03c6({right arrow over (c)}(i)) is a feature mapping function from the signal space to a kernel feature space, and {right arrow over (c)}(i) is a training signal vector.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 95.0
- Lexical Diversity: 2.8806
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15530179', '12772350', '09825268', '14521364', '14743119']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4612632187089234
- 35 USC 102 Novelty (BERT): 0.4741093030933341
- Combined Prediction Score: 0.4625478271473645
- Mean Citation Score: 164.19414999999995
- Max Citation Score: 173.09775
- Similarity Product: 127.88978486698863

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