The matrix inversion operation is needed in the MMSE decoding algorithm of orthogonal space-time block coding （OSTBC） proposed by Papadias and Foschini. In this paper, an minimum mean square error （MMSE） decoding ...The matrix inversion operation is needed in the MMSE decoding algorithm of orthogonal space-time block coding （OSTBC） proposed by Papadias and Foschini. In this paper, an minimum mean square error （MMSE） decoding algorithm without matrix inversion is proposed, by which the computational complexity can be reduced directly but the decoding performance is not affected.展开更多
Two blind multiuser detection algorithms for antenna array in Code Division Multiple Access （CDMA） system which apply the linearly constrained condition to the Least Squares Constant Modulus Algorithln （LSCMA） are...Two blind multiuser detection algorithms for antenna array in Code Division Multiple Access （CDMA） system which apply the linearly constrained condition to the Least Squares Constant Modulus Algorithln （LSCMA） are proposed in this paper. One is the Linearly Constrained LSCMA （LC-LSCMA）, the other is the Preprocessing LC-LSCMA （PLC-LSCMA）. The two algorithms are compared with the conventional LSCMA. The results show that the two algorithms proposed in this paper are superior to the conventional LSCMA and the best one is PLC-LSCMA.展开更多
在干扰信号相干的情况下,一般波束形成方法不能准确地对相干信号和期望信号进行到达角(DOA)估计,干扰抑制效果较差。通过对相干信号和加权矢量二次型性能函数的分析,提出了一种相干干扰抑制方法,即基于多约束最小均方(multiple constrai...在干扰信号相干的情况下,一般波束形成方法不能准确地对相干信号和期望信号进行到达角(DOA)估计,干扰抑制效果较差。通过对相干信号和加权矢量二次型性能函数的分析,提出了一种相干干扰抑制方法,即基于多约束最小均方(multiple constrained least mean square,MC-LMS)算法的空域调零抗干扰技术。该方法利用MC-LMS算法迭代计算权值,并对阵列信号自适应加权输出,通过频谱分析可以得到抑制干扰的效果。计算机仿真和工程实现表明该方法在复杂的电磁环境下能对相干干扰进行抑制,并通过抗干扰的数量和抗干扰性能验证了该方法的有效性。展开更多
提出了一种MIMO-OFDM(Multiple Input and Multiple Output-Orthogonal Frequency Division Multi-plexing)系统中的信道估计实现方案.该算法采用STBC(Space-Time Block Code)训练序列,利用LMS(Least Mean Square)迭代算法估计信道响应...提出了一种MIMO-OFDM(Multiple Input and Multiple Output-Orthogonal Frequency Division Multi-plexing)系统中的信道估计实现方案.该算法采用STBC(Space-Time Block Code)训练序列,利用LMS(Least Mean Square)迭代算法估计信道响应,避免了矩阵的求逆运算,与基于MMSE(Minimum MeanSquare Error)的MIMO信道估计算法相比,具有运算复杂度低、跟踪能力强的优点.计算机仿真结果显示了该算法的有效性和优越性.展开更多
文摘The matrix inversion operation is needed in the MMSE decoding algorithm of orthogonal space-time block coding （OSTBC） proposed by Papadias and Foschini. In this paper, an minimum mean square error （MMSE） decoding algorithm without matrix inversion is proposed, by which the computational complexity can be reduced directly but the decoding performance is not affected.
基金Supported by the National Natural Science Foundation of China (No.60472104)Doctoral innovative fund of Jiangsu province (xm04-32).
文摘Two blind multiuser detection algorithms for antenna array in Code Division Multiple Access （CDMA） system which apply the linearly constrained condition to the Least Squares Constant Modulus Algorithln （LSCMA） are proposed in this paper. One is the Linearly Constrained LSCMA （LC-LSCMA）, the other is the Preprocessing LC-LSCMA （PLC-LSCMA）. The two algorithms are compared with the conventional LSCMA. The results show that the two algorithms proposed in this paper are superior to the conventional LSCMA and the best one is PLC-LSCMA.
文摘在干扰信号相干的情况下,一般波束形成方法不能准确地对相干信号和期望信号进行到达角(DOA)估计,干扰抑制效果较差。通过对相干信号和加权矢量二次型性能函数的分析,提出了一种相干干扰抑制方法,即基于多约束最小均方(multiple constrained least mean square,MC-LMS)算法的空域调零抗干扰技术。该方法利用MC-LMS算法迭代计算权值,并对阵列信号自适应加权输出,通过频谱分析可以得到抑制干扰的效果。计算机仿真和工程实现表明该方法在复杂的电磁环境下能对相干干扰进行抑制,并通过抗干扰的数量和抗干扰性能验证了该方法的有效性。
文摘提出了一种MIMO-OFDM(Multiple Input and Multiple Output-Orthogonal Frequency Division Multi-plexing)系统中的信道估计实现方案.该算法采用STBC(Space-Time Block Code)训练序列,利用LMS(Least Mean Square)迭代算法估计信道响应,避免了矩阵的求逆运算,与基于MMSE(Minimum MeanSquare Error)的MIMO信道估计算法相比,具有运算复杂度低、跟踪能力强的优点.计算机仿真结果显示了该算法的有效性和优越性.
