Blind iterative singular vectors estimation and adaptive spatial loading in a reciprocal MIMO channel
Blind iterative singular vectors estimation and adaptive spatial loading in a reciprocal MIMO channel
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互易 MIMO 信道中的盲迭代奇异向量估计和自适应空间加载
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
M. Magarini
中科院分区：
文献类型：
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作者：
Silvio Mandelli;M. Magarini
本文研究了互易时变多输入多输出（MIMO）信道中的空间负载。我们从文献中提出的盲迭代算法的启发，估计与主导奇异值相关联的奇异向量来执行波束形成。从这一点出发，我们介绍了一种迭代算法，可以估计所有的奇异向量和相关的奇异值的信道矩阵。然后，估计的奇异向量被用来发送在并行子信道和相关的奇异值被认为是实现本文所描述的速率和功率加载算法。一个程序的基础上联合使用的两个考虑的算法可以采用自适应最大化的总速率为一个给定的错误率性能和平均发射功率的给定约束。仿真结果被用来证明我们的方法相比，盲迭代波束成形传输的有效性。
In this paper spatial loading in a reciprocal time-varying multiple-input multiple-output (MIMO) channel is considered. We take inspiration from a blind iterative algorithm proposed in the literature to estimate the singular vectors associated to the dominant singular value to perform beamforming. Starting from that, we introduce an iterative algorithm that can estimate all the singular vectors and the associated singular values of the channel matrix. Then the estimated singular vectors are used to transmit over the parallel sub-channels and the associated singular values are considered to implement the rate and power loading algorithm described in this paper. A procedure based on the joint use of the two considered algorithms can be adopted to adaptively maximize the total rate for a given error rate performance and a given constraint on the average transmitted power. Simulation results are used to demonstrate the effectiveness of our approach compared to blind iterative beamforming transmission.