Channel Estimation for OFDM Systems Via Reduced-Dimensional PARAFAC Method

被引：0
|
作者：
Lin H.-Y. [1 ]
Yuan C.-W. [1 ]
Du J.-H. [2 ]
机构：
[1] School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing
[2] School of Information and Engineering, Communication University of China, Beijing
来源：
Beijing Youdian Daxue Xuebao | / 3卷 / 62-66期
关键词：
Jointly estimate; Multi-way; Orthogonal frequency division multiplexing; Parallel factor model;
D O I：
10.13190/j.jbupt.2017.03.008
中图分类号：
学科分类号：
摘要：
The article presents a joint angle and propagation delay estimation approach in an orthogonal frequency division multiplexing (OFDM) system via reduced-dimension parallel factor (PARAFAC) method. Firstly, the received signal was formulated as a three-order PARAFAC model in a single input multiple output (SIMO) OFDM system. Truncated singular value decomposition (SVD) was exploited to reduce the dimension of the PARAFAC model. Then a trilinear alternating least square (TALS)algorithm based on the reduced dimensional PARAFAC model was presented to jointly recover the angle-of-arrival (AOA) and propagation delay. Compared with the conventional parallel factor decomposition method, the approach has much smaller memory capacity and lower computation complexity. Simulations validate the effectiveness of our method. © 2017, Editorial Department of Journal of Beijing University of Posts and Telecommunications. All right reserved.
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页码：62 / 66
页数：4
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