Performance analysis of the SAGE algorithm: Changing the update procedure

Musayanah; P. Handayani; G. Hendrantoro; P. Hari Mukti

doi:10.1109/ISITIA.2016.7828664

Performance analysis of the SAGE algorithm: Changing the update procedure

Institut Bisnis Dan Informatika Stikom Surabaya

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Subtitle of host publication	Recent Trends in Intelligent Computational Technologies for Sustainable Energy
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	237-242
Number of pages	6
ISBN (Electronic)	9781509017096
DOIs	https://doi.org/10.1109/ISITIA.2016.7828664
Publication status	Published - 20 Jan 2017
Event	2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016 - Lombok, Indonesia Duration: 28 Jul 2016 → 30 Jul 2016

Publication series

Name	Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy

Conference

Conference	2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Country/Territory	Indonesia
City	Lombok
Period	28/07/16 → 30/07/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

SAGE
multipath component signals
parameter estimation

Access to Document

10.1109/ISITIA.2016.7828664

Cite this

Musayanah, Handayani, P., Hendrantoro, G., & Mukti, P. H. (2017). Performance analysis of the SAGE algorithm: Changing the update procedure. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy (pp. 237-242). Article 7828664 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA.2016.7828664

Musayanah, ; Handayani, P. ; Hendrantoro, G. et al. / Performance analysis of the SAGE algorithm : Changing the update procedure. Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 237-242 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

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title = "Performance analysis of the SAGE algorithm: Changing the update procedure",

abstract = "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.",

keywords = "SAGE, multipath component signals, parameter estimation",

author = "Musayanah and P. Handayani and G. Hendrantoro and Mukti, \{P. Hari\}",

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doi = "10.1109/ISITIA.2016.7828664",

language = "English",

series = "Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy",

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Musayanah, , Handayani, P , Hendrantoro, G & Mukti, PH 2017, Performance analysis of the SAGE algorithm: Changing the update procedure. in Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy., 7828664, Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy, Institute of Electrical and Electronics Engineers Inc., pp. 237-242, 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016, Lombok, Indonesia, 28/07/16. https://doi.org/10.1109/ISITIA.2016.7828664

Performance analysis of the SAGE algorithm: Changing the update procedure. / Musayanah, ; Handayani, P.; Hendrantoro, G. et al.
Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc., 2017. p. 237-242 7828664 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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.

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KW - multipath component signals

KW - parameter estimation

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M3 - Conference contribution

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T3 - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy

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BT - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Musayanah , Handayani P , Hendrantoro G , Mukti PH. Performance analysis of the SAGE algorithm: Changing the update procedure. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc. 2017. p. 237-242. 7828664. (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy). doi: 10.1109/ISITIA.2016.7828664

Performance analysis of the SAGE algorithm: Changing the update procedure

Abstract

Publication series

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UN SDGs

Keywords

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