TY - GEN
T1 - An improved algorithm of multipath parameter estimation
AU - Yu, Yang
AU - Tan, Xuezhi
AU - Chi, Yonggang
PY - 2012
Y1 - 2012
N2 - A transmitted signal can arrive at a receiver via several refracted Fermat paths. If the paths are independent in the Fresnel sense, then the received signal can be modeled as the sum of amplitude scaled and time shifted copies of a predetermined replica plus white Gaussian noise. For this model, a joint improved algorithm of multipath parameter estimation based on matched filtering and least squares method is proposed in this paper. First, according to the principle of matched filtering and mode of operation of communication system, the number of paths and the time shifts of each path are estimated using the Linear Frequency Modulated (LMF) signal (Chirp) or m sequence; Second, the amplitudes of each path are estimated by the above estimates and least squares method. Besides, theoretical analysis about the resolution of multipath time shifts is done in this paper. Simulation results are shown in order to verify the validity of the proposed algorithm.
AB - A transmitted signal can arrive at a receiver via several refracted Fermat paths. If the paths are independent in the Fresnel sense, then the received signal can be modeled as the sum of amplitude scaled and time shifted copies of a predetermined replica plus white Gaussian noise. For this model, a joint improved algorithm of multipath parameter estimation based on matched filtering and least squares method is proposed in this paper. First, according to the principle of matched filtering and mode of operation of communication system, the number of paths and the time shifts of each path are estimated using the Linear Frequency Modulated (LMF) signal (Chirp) or m sequence; Second, the amplitudes of each path are estimated by the above estimates and least squares method. Besides, theoretical analysis about the resolution of multipath time shifts is done in this paper. Simulation results are shown in order to verify the validity of the proposed algorithm.
KW - Parameter Estimation
KW - least squares method
KW - matched filtering
KW - multipath channel
UR - https://www.scopus.com/pages/publications/84861861960
U2 - 10.1109/CECNet.2012.6201669
DO - 10.1109/CECNet.2012.6201669
M3 - 会议稿件
AN - SCOPUS:84861861960
SN - 9781457714153
T3 - 2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 - Proceedings
SP - 3103
EP - 3106
BT - 2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 - Proceedings
T2 - 2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012
Y2 - 21 April 2012 through 23 April 2012
ER -