PATENT CLAIM ANALYSIS

Application Number: 16061305
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["375", "267000"]

Abstract:
A technology is disclosed and described for processing a radio signal using an excited Markov Chain Monte Carlo (MCMC) Gibbs sampler. An example method ( 200 ) may include calculating a distance ( 210 ) of a bit sequence from an estimated correct bit sequence, where the bit sequence may be extracted from a received radio signal received by a Multiple-Input and Multiple-Output (MIMO) detector. An excitation factor may be modified ( 220 ) based in part on the distance of the bit sequence from the estimated correct bit sequence, where the where the excitation factor may be used in part to calculate a probability of state transition of the bit sequence. A pseudo-convergence of the probability of state transition of the bit sequence may be detected ( 230 ) and a pseudo-convergence mitigation technique may be executed ( 240 ) that causes the probability of state transition of the bit sequence to increase.

Claim (Index 13):
A system for an excited Markov Chain Monte Carlo (MCMC) Gibbs sampler comprising:\n a processor; a memory device including instructions that, when executed by the processor, cause the system to: calculate a distance of a bit sequence from an estimated correct bit sequence for a radio signal received by a Multiple-Input and Multiple-Output (MIMO) detector; modify a first excitation control factor based in part on the distance of the bit sequence from the estimated correct bit sequence, wherein the excitation control factor is used in part to calculate a probability of state transition of the bit sequence; detect a pseudo-convergence condition attributed to the first excitation control factor having a low influence on the probability of state transition of the bit sequence; set a second excitation control factor to the distance of the bit sequence from the estimated correct bit sequence combined with the first excitation control factor; and apply the second excitation control factor to the Gibbs sampler, thereby increasing the probability of state transition of the bit sequence.

Metadata:
- Claim Count in Document: 43.0
- Percentile: 94.0
- Lexical Diversity: 2.21622
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11593899', '11177938', '12209143', '15312393', '12064944']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4371427337568974
- 35 USC 102 Novelty (BERT): 0.4503801247931741
- Combined Prediction Score: 0.4384664728605251
- Mean Citation Score: 120.344784
- Max Citation Score: 124.88777
- Similarity Product: 99.9931796558416

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