Presentation 2008-11-20
Efficient Signal Detection for Block Spreading CDMA signals Based on the Expectation Maximization Algorithm
Shuhei SUGIYAMA, Kohei OTAKE,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Block-Spread CDMA (BS/CDMA) system has been thought as an effective communication system because of enabling MUI-free transmission even under the multi-path environments. Although the system is MUI-free, there occurs interference on each data-block, that is, inter-symbol interference (ISI), and the MMSE detector to suppress it, is reported. In this paper, we propose an efficient scheme in introducing the expectation maximization algorithm (EMA) to the BS/CDMA signal detection, aimed to outperform the MMSE detector. Specifically, whereas the observed received data is subjected to the ISI in nature, we specify the complete data in the EMA to be obtained by decomposing it into each data symbol components, which results in the independent symbol update processing in the M-step and thus leads to low computational complexity. The computer simulation results show that the proposed detector significantly outperforms the conventional MMSE detector in terms of BER performance.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) BS/CDMA / EM Algorithm / Complete Data / Antenna Array / Time-domain Detection
Paper # RCS2008-143
Date of Issue

Conference Information
Committee RCS
Conference Date 2008/11/12(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Radio Communication Systems (RCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Efficient Signal Detection for Block Spreading CDMA signals Based on the Expectation Maximization Algorithm
Sub Title (in English)
Keyword(1) BS/CDMA
Keyword(2) EM Algorithm
Keyword(3) Complete Data
Keyword(4) Antenna Array
Keyword(5) Time-domain Detection
1st Author's Name Shuhei SUGIYAMA
1st Author's Affiliation Faculty of Engineering, Hosei University()
2nd Author's Name Kohei OTAKE
2nd Author's Affiliation Faculty of Engineering, Hosei University
Date 2008-11-20
Paper # RCS2008-143
Volume (vol) vol.108
Number (no) 305
Page pp.pp.-
#Pages 6
Date of Issue