Performance Evaluation of SAGE Algorithm for Channel Estimation and Data Detection Using Superimposed Training in MIMO System

Fumiaki TSUZUKI; Tomoaki OHTSUKI

doi:10.1093/ietcom/e90-b.6.1460

Performance Evaluation of SAGE Algorithm for Channel Estimation and Data Detection Using Superimposed Training in MIMO System

Fumiaki TSUZUKI, Tomoaki OHTSUKI

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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 evaluate the performance of the 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 system using the SAGE algorithm with superimposed training can achieve the good BER performances by using the SAGE algorithm with iteration.

Publication: IEICE TRANSACTIONS on Communications Vol.E90-B No.6 pp.1460-1466

Publication Date: 2007/06/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e90-b.6.1460

Type of Manuscript: PAPER

Category: Antennas and Propagation

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Fumiaki TSUZUKI, Tomoaki OHTSUKI, "Performance Evaluation of SAGE Algorithm for Channel Estimation and Data Detection Using Superimposed Training in MIMO System" in IEICE TRANSACTIONS on Communications, vol. E90-B, no. 6, pp. 1460-1466, June 2007, doi: 10.1093/ietcom/e90-b.6.1460.
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 evaluate the performance of the 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 system using the SAGE algorithm with superimposed training can achieve the good BER performances by using the SAGE algorithm with iteration.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.6.1460/_p

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@ARTICLE{e90-b_6_1460,
author={Fumiaki TSUZUKI, Tomoaki OHTSUKI, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Evaluation of SAGE Algorithm for Channel Estimation and Data Detection Using Superimposed Training in MIMO System},
year={2007},
volume={E90-B},
number={6},
pages={1460-1466},
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 evaluate the performance of the 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 system using the SAGE algorithm with superimposed training can achieve the good BER performances by using the SAGE algorithm with iteration.},
keywords={},
doi={10.1093/ietcom/e90-b.6.1460},
ISSN={1745-1345},
month={June},}

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TY - JOUR
TI - Performance Evaluation of SAGE Algorithm for Channel Estimation and Data Detection Using Superimposed Training in MIMO System
T2 - IEICE TRANSACTIONS on Communications
SP - 1460
EP - 1466
AU - Fumiaki TSUZUKI
AU - Tomoaki OHTSUKI
PY - 2007
DO - 10.1093/ietcom/e90-b.6.1460
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2007
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 evaluate the performance of the 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 system using the SAGE algorithm with superimposed training can achieve the good BER performances by using the SAGE algorithm with iteration.
ER -