Phase Retrieval Motivated Nonlinear MIMO Communication With Magnitude Measurements
Phase Retrieval Motivated Nonlinear MIMO Communication With Magnitude Measurements
复制标题
相位检索驱动的非线性 MIMO 通信与幅度测量
DOI：
10.1109/twc.2017.2711606
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发表时间：
2017-06
影响因子：
10.4
通讯作者：
Xiaojun Jing
中科院分区：
文献类型：
--
作者：
Wang Shengchu;Lin Zhang;Xiaojun Jing
本文提出了一种多用户幅度（MO-）MIMO，其基站通过包络检测器和低分辨率ADC获得量化的复基带信号的幅度。因此，与传统MIMO相比，MO-MIMO享有低得多的电路功率和成本。由于相位信息不可用，现有的MIMO基带算法都不能应用于MO-MIMO。因此，两种类型的信道估计器和多用户检测器的构造首先归类的信道估计和多用户检测问题的量化相位恢复（PR）的问题，然后解决后者通过开发两种方法下的框架下的广义近似消息传递（GAMP）。第一种方法直接应用GAMP来解决量化PR问题，利用量化幅度测量和未知复信号之间的概率关系。第二种方法在丢失相位估计和信号恢复之间迭代，其中后者要求GAMP处理具有量化观测的线性混合问题。所开发的估计器和检测器要求矩阵向量乘法和非线性函数计算作为最复杂的操作，专门处理非线性量化损失，并利用信号先验概率分布。最后，通过实验验证了它们的有效性.
This paper proposes a multiuser magnitude-only (MO-)MIMO, whose base station acquires quantized magnitudes of the complex baseband signals through envelop detectors and low-resolution ADCs. Consequently, MO-MIMO enjoys much lower circuit power and cost in comparison with the conventional MIMO. Because the phase information is unavailable, all the existing MIMO baseband algorithms cannot be applied into MO-MIMO. Therefore, two types of channel estimators and multiuser detectors are constructed by first categorizing the channel estimation and multiuser detection problems as a quantized phase retrieval (PR) problem, and then solving the latter by developing two methods under the framework of generalized approximate message passing (GAMP). The first method directly applies GAMP to solve the quantized PR problem by exploiting the probability relationships between the quantized magnitude measurements and unknown complex signals. The second method iterates between the missing phase estimation and signal recovery, where the latter calls for GAMP to handle a linear mixing problem with quantized observations. The developed estimators and detectors call for matrix-vector multiplications and nonlinear function calculations as the most complex operations, handle the nonlinear quantization loss specially, and exploit the signal prior probability distributions. Finally, their effectiveness is validated experimentally.
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影响因子：
10.4
作者：
Shengchu Wang;Lin Zhang;Yunzhou Li;Jing Wang;E. Oki
通讯作者：
Shengchu Wang;Lin Zhang;Yunzhou Li;Jing Wang;E. Oki
影响因子：
6.8
作者：
Shengchu Wang;Yunzhou Li;Ming Zhao;Jing Wang
通讯作者：
Shengchu Wang;Yunzhou Li;Ming Zhao;Jing Wang
DOI：
--
发表时间：
2002
期刊：
--
影响因子：
--
作者：
A. Mezghani;M. Khoufi;J. Nossek
通讯作者：
A. Mezghani;M. Khoufi;J. Nossek
影响因子：
3.1
作者：
R. Gerchberg
通讯作者：
R. Gerchberg
DOI：
10.1109/glocom.2012.6503739
发表时间：
2012-05
期刊：
2012 IEEE Global Communications Conference (GLOBECOM)
影响因子：
--
作者：
Xun Zhou;Rui Zhang;Chin Keong Ho
通讯作者：
Xun Zhou;Rui Zhang;Chin Keong Ho