Low Complexity Joint OMP Methods for FDD Channel Estimation in Massive MIMO Systems
Low Complexity Joint OMP Methods for FDD Channel Estimation in Massive MIMO Systems
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DOI：
10.1109/spawc48557.2020.9154302
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发表时间：
2020-05
期刊：
影响因子：
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通讯作者：
N. Garg;M. Sellathurai;T. Ratnarajah
中科院分区：
文献类型：
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作者：
N. Garg;M. Sellathurai;T. Ratnarajah
频分双工（frequency-division-duplex，FDD）大规模MIMO（multiple-input multiple-output，多输入多输出）系统中的下行信道估计技术依赖于空间互易性来获得多径信道的空间信息。本文研究了基于牛顿正交匹配追踪（NOMP）算法的低复杂度算法。为此，我们首先推导出一种用于联合参数更新的NOMP方法。此外，为了减少更新的计算开销，我们将Hessian放宽为块对角。仿真结果表明，这两种算法实现了近似相似的性能相比，最近的方法在[1]，而招致更低的开销。
The downlink channel estimation techniques in FDD (frequency-division-duplex) massive MIMO (multiple-input multiple-output) systems rely upon the spatial reciprocity to obtain the spatial information of the multi-path channel. In this paper, we investigate the low-complexity algorithm based on the Newtonized orthogonal matching pursuit (NOMP) algorithm. Towards that, we first derive an NOMP approach for joint parameters updates. Further, to reduce the computational overhead of the updates, we relax the Hessian to be block diagonal. Simulations demonstrate that the both algorithms achieve an approximately similar performance as compared to the recent approach in [1], while incurring lower overheads.