Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (3): 62-66.doi: 10.13190/j.jbupt.2017.03.008

• Papers • Previous Articles     Next Articles

Channel Estimation for OFDM Systems Via Reduced-Dimensional PARAFAC Method

LIN He-yun1, YUAN Chao-wei1, DU Jian-he2   

  1. 1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. School of Information and Engineering, Communication University of China, Beijing 100024, China
  • Received:2017-01-12 Online:2017-06-28 Published:2017-05-25

Abstract: 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.

Key words: multi-way, parallel factor model, orthogonal frequency division multiplexing, jointly estimate

CLC Number: