TY - GEN
T1 - Design and experimental verification of a Fast Reduced-Dimension SAGE algorithm
AU - Zhang, Ruonan
AU - Liu, Jiawei
AU - Zhong, Zhimeng
AU - Li, Chao
AU - Li, Bin
N1 - Publisher Copyright:
© 2017 Applied Computational Electromagnetics Society.
PY - 2017/9/26
Y1 - 2017/9/26
N2 - The maximum likelihood (ML) estimation for multipath component (MPC) parameters requires high computational complexity, resulting in low efficiency in channel measurement campaigns. In this paper, a new method, called Fast Reduced-Dimension SAGE (FRDS) algorithm, is proposed to estimate the parameters such as excess delay, power, and angle-of-arrival/departure (AoA/AoD). By sounding channels using pseudo-noise sequences in the time domain, FRDS utilizes the extracted correlation function of the received array signals to perform iterative ML calculation, instead of using baseband signal samples. Thus the data set size and computational complexity are reduced significantly. A channel sounder has been developed and the FRDS algorithm is validated by field experiments. It is shown that FRDS can effectively improve the efficiency of channel measurement and modeling.
AB - The maximum likelihood (ML) estimation for multipath component (MPC) parameters requires high computational complexity, resulting in low efficiency in channel measurement campaigns. In this paper, a new method, called Fast Reduced-Dimension SAGE (FRDS) algorithm, is proposed to estimate the parameters such as excess delay, power, and angle-of-arrival/departure (AoA/AoD). By sounding channels using pseudo-noise sequences in the time domain, FRDS utilizes the extracted correlation function of the received array signals to perform iterative ML calculation, instead of using baseband signal samples. Thus the data set size and computational complexity are reduced significantly. A channel sounder has been developed and the FRDS algorithm is validated by field experiments. It is shown that FRDS can effectively improve the efficiency of channel measurement and modeling.
UR - http://www.scopus.com/inward/record.url?scp=85032799579&partnerID=8YFLogxK
M3 - 会议稿件
AN - SCOPUS:85032799579
T3 - 2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017
BT - 2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017
Y2 - 1 August 2017 through 4 August 2017
ER -