考虑到用户对LTE(Long Term Evolution)系统大容量和高速率的需要,采用了空间复用多输入多输出(MIMO)技术。在对LTE下行MIMO技术的传统接收算法研究的基础上提出一种改进算法。该算法调整排序干扰逐次消去(OSIC)算法的传统检测顺序,采...考虑到用户对LTE(Long Term Evolution)系统大容量和高速率的需要,采用了空间复用多输入多输出(MIMO)技术。在对LTE下行MIMO技术的传统接收算法研究的基础上提出一种改进算法。该算法调整排序干扰逐次消去(OSIC)算法的传统检测顺序,采用混合顺序检测。首先逆序检测出最弱信号层,并根据遍历搜索的思想对该层信号进行遍历,然后正序检测剩余信号层,利用最小距离准则来确定发送数据矢量。以QPSK和16QAM调制方式为例,计算机仿真验证了改进算法有效抑制了迭代检测过程中的差错传播,检测性能与最大似然(ML)算法检测效果一致,同时具有较低的计算复杂度,在检测性能与复杂度之间给出了很好的折衷。展开更多
A novel nonlinear multi-input multi-output MIMO detection algorithm is proposed which is referred to as an ordered successive noise projection cancellation OSNPC algorithm. It is capable of improving the computation p...A novel nonlinear multi-input multi-output MIMO detection algorithm is proposed which is referred to as an ordered successive noise projection cancellation OSNPC algorithm. It is capable of improving the computation performance of the MIMO detector with the conventional ordered successive interference cancellation OSIC algorithm. In contrast to the OSIC in which the known interferences in the input signal vector are successively cancelled the OSNPC successively cancels the known noise projections from the decision statistic vector. Analysis indicates that the OSNPC is equivalent to the OSIC in error performance but it has significantly less complexity in computation.Furthermore when the OSNPC is applied to the MIMO detection with the preprocessing of dual lattice reduction DLR the computational complexity of the proposed OSNPC-based DLR-aided detector is further reduced due to the avoidance of the inverse of the reduced basis of the dual lattice in computation compared to that of the OSIC-based one. Simulation results validate the theoretical conclusions with regard to both the performance and complexity of the proposed MIMO detection scheme.展开更多
文摘考虑到用户对LTE(Long Term Evolution)系统大容量和高速率的需要,采用了空间复用多输入多输出(MIMO)技术。在对LTE下行MIMO技术的传统接收算法研究的基础上提出一种改进算法。该算法调整排序干扰逐次消去(OSIC)算法的传统检测顺序,采用混合顺序检测。首先逆序检测出最弱信号层,并根据遍历搜索的思想对该层信号进行遍历,然后正序检测剩余信号层,利用最小距离准则来确定发送数据矢量。以QPSK和16QAM调制方式为例,计算机仿真验证了改进算法有效抑制了迭代检测过程中的差错传播,检测性能与最大似然(ML)算法检测效果一致,同时具有较低的计算复杂度,在检测性能与复杂度之间给出了很好的折衷。
基金The National Science and Technology Major Project(No.2012ZX03004005-003)the National Natural Science Foundation of China(No.61171081,61201175)the Innovation Technology Fund of Jiangsu Province(No.BC2012006)
文摘A novel nonlinear multi-input multi-output MIMO detection algorithm is proposed which is referred to as an ordered successive noise projection cancellation OSNPC algorithm. It is capable of improving the computation performance of the MIMO detector with the conventional ordered successive interference cancellation OSIC algorithm. In contrast to the OSIC in which the known interferences in the input signal vector are successively cancelled the OSNPC successively cancels the known noise projections from the decision statistic vector. Analysis indicates that the OSNPC is equivalent to the OSIC in error performance but it has significantly less complexity in computation.Furthermore when the OSNPC is applied to the MIMO detection with the preprocessing of dual lattice reduction DLR the computational complexity of the proposed OSNPC-based DLR-aided detector is further reduced due to the avoidance of the inverse of the reduced basis of the dual lattice in computation compared to that of the OSIC-based one. Simulation results validate the theoretical conclusions with regard to both the performance and complexity of the proposed MIMO detection scheme.
