SAGE algorithm for channel estimation and data detection using superimposed training in MIMO system

Fumiaki Tsuzuki, Tomoaki Ohtsuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, the superimposed pilot channel estimation has attracted attention for wireless communications, where the pilot symbol sequence is superimposed on a data symbol sequence and transmitted together, and thus there is no drop in information rate. In the superimposed pilot channel estimation, the receiver correlates the received symbol sequence with the pilot symbol sequence, and obtains the channel estimate. However, the correlation between the pilot symbol sequence and the data symbol sequence deteriorates the channel estimation accuracy. In particular, the channel estimation accuracy of the superimposed pilot channel estimation scheme is significantly deteriorated in MIMO systems, because the pilot symbol power of each transmit antenna to the total transmit power of all transmit antennas becomes smaller as the number of transmit antennas increases. On the other hand, it has been well known that the SAGE algorithm is an effective method for channel estimation and data detection. This algorithm is particularly effective in MIMO systems, because the operation of this algorithm can cancel the interference from other transmit antennas. In this paper, we propose a SAGE algorithm for channel estimation and data detection using superimposed pilot channel estimation in MIMO systems. From the results of computer simulations, we show that the proposed system can achieve the good BER performances by using the SAGE algorithm with iteration.

Original languageEnglish
Title of host publicationIEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference
DOIs
Publication statusPublished - 2006 Dec 1
EventIEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference - San Francisco, CA, United States
Duration: 2006 Nov 272006 Dec 1

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

OtherIEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference
CountryUnited States
CitySan Francisco, CA
Period06/11/2706/12/1

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'SAGE algorithm for channel estimation and data detection using superimposed training in MIMO system'. Together they form a unique fingerprint.

  • Cite this

    Tsuzuki, F., & Ohtsuki, T. (2006). SAGE algorithm for channel estimation and data detection using superimposed training in MIMO system. In IEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference [4151179] (GLOBECOM - IEEE Global Telecommunications Conference). https://doi.org/10.1109/GLOCOM.2006.549