### 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 language | English |
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Title of host publication | GLOBECOM - IEEE Global Telecommunications Conference |

DOIs | |

Publication status | Published - 2006 |

Event | IEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference - San Francisco, CA, United States Duration: 2006 Nov 27 → 2006 Dec 1 |

### Other

Other | IEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference |
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Country | United States |

City | San Francisco, CA |

Period | 06/11/27 → 06/12/1 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*GLOBECOM - IEEE Global Telecommunications Conference*[4151179] https://doi.org/10.1109/GLOCOM.2006.549

**SAGE algorithm for channel estimation and data detection using superimposed training in MIMO system.** / Tsuzuki, Fumiaki; Ohtsuki, Tomoaki.

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

*GLOBECOM - IEEE Global Telecommunications Conference.*, 4151179, IEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference, San Francisco, CA, United States, 06/11/27. https://doi.org/10.1109/GLOCOM.2006.549

}

TY - GEN

T1 - SAGE algorithm for channel estimation and data detection using superimposed training in MIMO system

AU - Tsuzuki, Fumiaki

AU - Ohtsuki, Tomoaki

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=50949126864&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=50949126864&partnerID=8YFLogxK

U2 - 10.1109/GLOCOM.2006.549

DO - 10.1109/GLOCOM.2006.549

M3 - Conference contribution

AN - SCOPUS:50949126864

SN - 142440357X

SN - 9781424403578

BT - GLOBECOM - IEEE Global Telecommunications Conference

ER -