Title :
Hybrid-Based Propagation Parameter Estimation Method Using EM/SAGE and Extended MODE Algorithm
Author :
Saito, K. ; Imai, T. ; Kitao, K. ; Okano, Y. ; Miura, S.
Author_Institution :
NTT DOCOMO, Inc., Yokosuka, Japan
Abstract :
MIMO transmission technologies have been investigated and are expected to realize the wide-band and high-speed radio communication in LTE and IMT-A systems. To put those technologies into practical use, the accurate MIMO channel is required. To estimate the propagation parameters of rays from the channel data measured by the channel sounder, the SAGE based estimation algorithms have been used. SAGE algorithm is able to be applied to any patterns of antenna arrays, and can estimate the several propagation parameters such as AoA, AoD, delay and amplitude in parallel. However it has the resolution degrading problem in the case that there are close rays that have the close propagation parameters. In the paper, we propose the novel channel estimation methods. In our proposal, after the global parameter estimation using SAGE algorithm, we extract the signal component of the close rays from the measured data. Then we execute detailed parameter estimation for those rays using MODE based algorithm with the array interpolation. We show the effectiveness of our proposal through the computer simulation.
Keywords :
Long Term Evolution; MIMO communication; antenna arrays; antenna radiation patterns; channel estimation; direction-of-arrival estimation; interpolation; radiowave propagation; EM-SAGE algorithm; IMT-A system; LTE system; MIMO channel; MIMO transmission technology; antenna array patterns; array interpolation; channel data; channel estimation method; channel sounder; extended MODE algorithm; high-speed radio communication; hybrid-based propagation parameter estimation method; ray propagation parameter estimation; resolution degradation problem; wide-band communication; Arrays; Clustering algorithms; Estimation; Interpolation; Parameter estimation; Proposals; Vectors;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-8328-0
DOI :
10.1109/VETECF.2011.6093217