%0 Journal Article
%A DU Jian-he
%A LIN He-yun
%A YUAN Chao-wei
%T Channel Estimation for OFDM Systems Via Reduced-Dimensional PARAFAC Method
%D 2017
%R 10.13190/j.jbupt.2017.03.008
%J Journal of Beijing University of Posts and Telecommunications
%P 62-66
%V 40
%N 3
%X 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.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2017.03.008