TY - GEN
T1 - Performance analysis of the SAGE algorithm
T2 - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
AU - Musayanah,
AU - Handayani, P.
AU - Hendrantoro, G.
AU - Mukti, P. Hari
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/20
Y1 - 2017/1/20
N2 - The extraction of multipath component signals from measured radiowave propagation channel can be carried out using some algorithms. One of these algorithms is Space Alternating Generalized Expectation-Maximization (SAGE). SAGE is based on two procedures, i.e., Expectation Step (E-Step) and Maximization Step (M-Step). In the E-Step, we decompose signal and noise while in the M-Step we update the parameters estimate, which are delay, DOA (direction of arrival), DOD (direction of departure), doppler shift, and complex amplitude consecutively. However, if the measurement systems used to sounding the channel have low delay resolution, we will have difficulty in separating multipath component signals (MPCs). In this paper we propose to change the update procedure to overcome this difficulty. The simulation results show that the performance of the proposed procedure does not change significantly compare to the original SAGE.
AB - The extraction of multipath component signals from measured radiowave propagation channel can be carried out using some algorithms. One of these algorithms is Space Alternating Generalized Expectation-Maximization (SAGE). SAGE is based on two procedures, i.e., Expectation Step (E-Step) and Maximization Step (M-Step). In the E-Step, we decompose signal and noise while in the M-Step we update the parameters estimate, which are delay, DOA (direction of arrival), DOD (direction of departure), doppler shift, and complex amplitude consecutively. However, if the measurement systems used to sounding the channel have low delay resolution, we will have difficulty in separating multipath component signals (MPCs). In this paper we propose to change the update procedure to overcome this difficulty. The simulation results show that the performance of the proposed procedure does not change significantly compare to the original SAGE.
KW - SAGE
KW - multipath component signals
KW - parameter estimation
UR - http://www.scopus.com/inward/record.url?scp=85016813869&partnerID=8YFLogxK
U2 - 10.1109/ISITIA.2016.7828664
DO - 10.1109/ISITIA.2016.7828664
M3 - Conference contribution
AN - SCOPUS:85016813869
T3 - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy
SP - 237
EP - 242
BT - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 July 2016 through 30 July 2016
ER -
