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MARKOV CHAIN MONTE CARLO MIMO DETECTOR METHOD WITH GIBBS SAMPLER EXCITATION

机译:具有吉布斯采样激励的马尔可夫链蒙特卡罗MIMO检测器方法

摘要

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.
机译:公开并描述了一种用于使用激发的马尔可夫链蒙特卡洛(MCMC)Gibbs采样器处理无线电信号的技术。示例方法( 200 )可以包括从估计的正确比特序列计算比特序列的距离( 210 ),其中可以从接收到的无线电中提取比特序列。多输入多输出(MIMO)检测器接收到的信号。可以部分地基于位序列与估计的正确位序列之间的距离来修改( 220 )激励因子,其中可以部分使用激励因子来计算状态概率位序列的过渡。可以检测到比特序列状态转换概率的伪收敛( 230 ),并且可以执行伪收敛缓解技术( 240 ),从而导致位序列状态转换的可能性增加。

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