MULTIPLE INPUT MULTIPLE OUTPUT (MIMO) TRANSMITTED SIGNAL VECTOR ESTIMATION EMPLOYING MONTE CARLO SAMPLING TECHNIQUES
    1.
    发明申请
    MULTIPLE INPUT MULTIPLE OUTPUT (MIMO) TRANSMITTED SIGNAL VECTOR ESTIMATION EMPLOYING MONTE CARLO SAMPLING TECHNIQUES 审中-公开
    使用MONTE CARLO采样技术的多输入多输出(MIMO)传输信号矢量估计

    公开(公告)号:US20140133591A1

    公开(公告)日:2014-05-15

    申请号:US14159461

    申请日:2014-01-21

    CPC classification number: H04B7/0413 H04L25/03203 H04L25/03891

    Abstract: A method of determining a transmitted vector (x) in a MIMO receiver includes the steps of receiving a received vector (y) representative of the transmitted vector (x), generating a first random number and forming, in a first iteration, a first symbol of a first candidate vector, the candidate vector representing a potential solution vector. The step of forming is based on a first approach if the first random number is greater than a first predetermined value (q), but is based on a second approach if the random number is less than or equal to the first predetermined value (q). The first approach randomly selects the first symbol from a uniform distribution of symbols in the transmission alphabet. The second approach selects the first symbol based on Gibbs sampling. The method represents a randomized Markov Chain Monte Carlo (RMCMC) sampling technique.

    Abstract translation: 一种在MIMO接收机中确定发射矢量(x)的方法包括以下步骤:接收表示所发射矢量(x)的接收矢量(y),产生第一随机数,并在第一迭代中形成第一符号 第一候选向量,候选向量表示潜在的解向量。 如果第一随机数大于第一预定值(q),则形成步骤基于第一方法,但是如果随机数小于或等于第一预定值(q),则基于第二方法, 。 第一种方法是从发送字母表中的符号的均匀分布中随机选择第一个符号。 第二种方法选择基于吉布斯抽样的第一个符号。 该方法代表随机的马尔可夫链蒙特卡罗(RMCMC)采样技术。

    MULTIPLE INPUT MULTIPLE OUTPUT (MIMO) TRANSMITTED SIGNAL VECTOR ESTIMATION EMPLOYING MONTE CARLO SAMPLING TECHNIQUES
    2.
    发明申请
    MULTIPLE INPUT MULTIPLE OUTPUT (MIMO) TRANSMITTED SIGNAL VECTOR ESTIMATION EMPLOYING MONTE CARLO SAMPLING TECHNIQUES 失效
    使用MONTE CARLO采样技术的多输入多输出(MIMO)传输信号矢量估计

    公开(公告)号:US20120307924A1

    公开(公告)日:2012-12-06

    申请号:US13472519

    申请日:2012-05-16

    CPC classification number: H04B7/0413 H04L25/03203 H04L25/03891

    Abstract: A method of determining a transmitted vector (x) in a MIMO receiver includes the steps of receiving a received vector (y) representative of the transmitted vector (x), generating a first random number and forming, in a first iteration, a first symbol of a first candidate vector, the candidate vector representing a potential solution vector. The step of forming is based on a first approach if the first random number is greater than a first predetermined value (q), but is based on a second approach if the random number is less than or equal to the first predetermined value (q). The first approach randomly selects the first symbol from a uniform distribution of symbols in the transmission alphabet. The second approach selects the first symbol based on Gibbs sampling. The method represents a randomized Markov Chain Monte Carlo (RMCMC) sampling technique.

    Abstract translation: 一种在MIMO接收机中确定发射矢量(x)的方法包括以下步骤:接收表示所发射矢量(x)的接收矢量(y),产生第一随机数,并在第一迭代中形成第一符号 第一候选向量,候选向量表示潜在的解向量。 如果第一随机数大于第一预定值(q),则形成步骤基于第一方法,但是如果随机数小于或等于第一预定值(q),则基于第二方法, 。 第一种方法是从发送字母表中的符号的均匀分布中随机选择第一个符号。 第二种方法选择基于吉布斯抽样的第一个符号。 该方法代表随机的马尔可夫链蒙特卡罗(RMCMC)采样技术。

    Multiple input multiple output (MIMO) transmitted signal vector estimation employing Monte Carlo sampling techniques
    3.
    发明授权
    Multiple input multiple output (MIMO) transmitted signal vector estimation employing Monte Carlo sampling techniques 失效
    采用蒙特卡罗抽样技术的多输入多输出(MIMO)传输信号向量估计

    公开(公告)号:US08675780B2

    公开(公告)日:2014-03-18

    申请号:US13472519

    申请日:2012-05-16

    CPC classification number: H04B7/0413 H04L25/03203 H04L25/03891

    Abstract: A method of determining a transmitted vector (x) in a MIMO receiver includes the steps of receiving a received vector (y) representative of the transmitted vector (x), generating a first random number and forming, in a first iteration, a first symbol of a first candidate vector, the candidate vector representing a potential solution vector. The step of forming is based on a first approach if the first random number is greater than a first predetermined value (q), but is based on a second approach if the random number is less than or equal to the first predetermined value (q). The first approach randomly selects the first symbol from a uniform distribution of symbols in the transmission alphabet. The second approach selects the first symbol based on Gibbs sampling. The method represents a randomized Markov Chain Monte Carlo (RMCMC) sampling technique.

    Abstract translation: 一种在MIMO接收机中确定发射矢量(x)的方法包括以下步骤:接收表示所发射矢量(x)的接收矢量(y),产生第一随机数,并在第一迭代中形成第一符号 第一候选向量,候选向量表示潜在的解向量。 如果第一随机数大于第一预定值(q),则形成步骤基于第一方法,但是如果随机数小于或等于第一预定值(q),则基于第二方法, 。 第一种方法是从发送字母表中的符号的均匀分布中随机选择第一个符号。 第二种方法选择基于吉布斯抽样的第一个符号。 该方法代表随机的马尔可夫链蒙特卡罗(RMCMC)采样技术。

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