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机构地区:[1]河南工业大学信息科学与工程学院,郑州450001
出 处:《计算机应用》2010年第11期3077-3079,共3页journal of Computer Applications
基 金:国家自然科学基金资助项目(60940017);河南省科技创新杰出青年基金资助项目(104100510008)
摘 要:针对垂直分层空时方案传统检测存在误层传输效应及复杂度高的问题,提出了一种MIMO-OFDM下行链路系统中基于几何均值分解的V-BLAST非线性模代数预编码方法。该方法首先采用几何均值分解获得各子信道具有相同等效噪声增益的预编码矩阵,再在发射端正交频分复用(OFDM)子载波信道间进行非线性模代数预编码,可以有效地消除分层空时码的误层传输效应,在接收端采用最小均方误差准则。仿真实验表明,该方法比传统方法有效改善了系统的误码性能,一定程度上降低了下行链路接收机的复杂度。Considering the error propagation effect and high complexity of Vertical Bell Laboratory Layered Space Time (V-BLAST), a new nonlinear module algebra precoding based on geometric mean decomposition for V-BLAST in MIMO-OFDM downlink systems was proposed. Geometric mean decomposition was used for precoding matrix that has the same equivalent noise gain among each sub-channel; the nonlinear module algebra precoding was used between sub-carrier channels of Orthogonal Frequency Division Multiplexing (OFDM) to eliminate interference from other signals at the transmitter, and could eliminate the error propagation effect of layered space-time codes effectively. At the receiver, minimum mean square error criterion was used. The simulation results show that the proposed method is better than the traditional methods in the performance of system Bit Error Rate (BER), and the complexity of the downlink receiver can be reduced to some extent.
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