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 languageEnglish
Title of host publicationProceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Subtitle of host publicationRecent Trends in Intelligent Computational Technologies for Sustainable Energy
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages237-242
Number of pages6
ISBN (Electronic)9781509017096
DOIs
Publication statusPublished - 20 Jan 2017
Event2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016 - Lombok, Indonesia
Duration: 28 Jul 201630 Jul 2016

Publication series

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

Conference

Conference2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Country/TerritoryIndonesia
CityLombok
Period28/07/1630/07/16

Keywords

  • SAGE
  • multipath component signals
  • parameter estimation

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