PATENT CLAIM ANALYSIS

Application Number: 16061328
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-02
Patent Classification: ["375", "262000"]

Abstract:
A technology is described for moderating output confidence of output soft information associated with a MIMO detector. An example method can include generating output soft-information that is a measure of likelihood that a subset of bit sequence permutations correctly represents a bit sequence extracted from a radio signal received by the MIMO detector. Calculating a distance of the subset of bit sequence permutations to the bit sequence extracted from the radio signal. Determining that the output confidence of the output soft-information warrants adjustment of the output confidence of the output soft-information based in part on the distance of the bit sequence extracted from the radio signal to the subset of bit sequence permutations. And adjusting the output confidence of the output soft-information based in part on the distance of the bit sequence extracted from the radio signal to the subset of bit sequence permutations using an adjustment technique.

Claim (Index 5):
A method as in  claim 4 , wherein calculating the ratio further comprises classifying an incorrect bits included in the subset of bit sequence permutations as noise that is added to additive white Gaussian noise.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.78182
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12077073', '12640927', '12709294', '09773358', '09754570']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4692452037626152
- 35 USC 102 Novelty (BERT): 0.4802019273320883
- Combined Prediction Score: 0.4703408761195625
- Mean Citation Score: 142.70599
- Max Citation Score: 145.54779
- Similarity Product: 97.93689875089288

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