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 1):
A method for exciting a Markov Chain Monte Carlo (MCMC) Gibbs sampler, comprising:\n calculating, using a processor, a distance of a bit sequence from an expectation of correct bit sequences, wherein the bit sequence is obtained from a received radio signal; modifying, using the processor, an excitation control factor based in part on the distance of the bit sequence from the expectation of correct bit sequences, wherein the excitation control factor is used in part to calculate a probability of state transition of the bit sequence; detecting, using the processor, a pseudo-convergence condition of the probability of state transition of the bit sequence that is attributed to the excitation control factor; and executing, using the processor, a pseudo-convergence mitigation technique that causes the probability of state transition of the bit sequence to increase.

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): 0.4372172334575694
- 35 USC 102 Novelty (BERT): 0.4501059891627485
- Combined Prediction Score: 0.4385061090280873
- Mean Citation Score: 120.344784
- Max Citation Score: 124.88777
- Similarity Product: 100.17337392933668

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