通过嵌套 PARAFAC 分析实现相位噪声下毫米波系统中的信道参数估计和位置感应

IF 4.6 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Meng Han;Jianhe Du;Yuanzhi Chen;Libiao Jin;Feifei Gao
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引用次数: 0

摘要

本文基于嵌套张量分解实现了相位噪声下的信道参数估计和位置感知。PN对接收信号有两种影响,即共相位误差(CPE)和载波间干扰(ICI)。利用毫米波信道的多维性,将接收到的训练信号表述为嵌套并行因子张量模型。第一阶段采用压缩和直线搜索的方法,通过拟合外部PARAFAC模型,迭代估计CPE和复合信道。在第二阶段,分别提出了一种闭型算法和一种迭代型算法来拟合内部PARAFAC模型。具体来说,封闭形式利用了空间平滑和向前向后,迭代形式利用了酉变换。第三阶段实现了移动台和散射体的信道参数估计和位置感知。还推导了CPE和信道参数的Cram$\acute{\text{e}}$r-Rao边界(crb)以提供基准测试。与现有算法相比,该算法的性能接近crb,并且在较低的计算复杂度下性能有所提高。此外,本文提出的算法可以应对更具有挑战性的情况,即视距(LOS)路径不存在,即使具有显著的ICI,非视距路径也具有空间相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Channel Parameter Estimation and Location Sensing in mmWave Systems Under Phase Noise via Nested PARAFAC Analysis
In this paper, channel parameter estimation and location sensing under phase noise (PN) are achieved based on nested tensor decomposition. The PN has two effects on the received signal, i.e., common phase error (CPE) and inter-carrier interference (ICI). Using the multi-dimensionality of millimeter wave channels, the received training signal is formulated as a nested parallel factor (PARAFAC) tensor model. Resorting to the compression and line search, CPE and compound channel are iteratively estimated by fitting the outer PARAFAC model in the first stage. In the second stage, a closed-form algorithm and an iterative-form algorithm are respectively developed to fit the inner PARAFAC model. Specifically, the closed-form one leverages the spatial smoothing and forward-backward, and the iterative-form one utilizes the unitary transformation. Channel parameter estimation and location sensing of mobile station and scatterers are achieved in the third stage. The Cram $\acute{\text{e}}$ r-Rao bounds (CRBs) of CPE and channel parameters are also derived to provide benchmarks. Compared with existing algorithms, the proposed algorithms exhibit performance close to CRBs, and show improved performance with low computational complexity. Besides, the proposed algorithms can cope with more challenging cases where line-of-sight (LOS) path does not exist and non-LOS paths are spatially correlated even with significant ICI.
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来源期刊
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing 工程技术-工程:电子与电气
CiteScore
11.20
自引率
9.30%
发文量
310
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals. The term “signal” includes, among others, audio, video, speech, image, communication, geophysical, sonar, radar, medical and musical signals. Examples of topics of interest include, but are not limited to, information processing and the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.
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