SAGE algorithm for channel estimation and data detection with tracking the channel variation in MIMO system

Takao Someya, Tomoaki Ohtsuki

研究成果: Paper

9 引用 (Scopus)

抜粋

In recent years, Multiple-Input Multiple-Output (MIMO) systems with some transmit and receive antennas have attracted much attention in radio environments. In MIMO systems, the channel estimation is important to distinguish transmit signals from multiple transmit antennas. The Space-Alternating Generalized Expectation-maximization (SAGE) algorithm is known to be good for the channel estimation and the data detection. However, the SAGE algorithm has not been applied to MIMO systems. In this paper, we propose a SAGE algorithm for the channel estimation and data detection in MIMO systems. In addition, we propose a simplified SAGE algorithm for the channel estimation and the data detection with tracking the channel variation in MIMO systems. In the simplified SAGE algorithm, we divide a transmit frame into some subblocks and apply the SAGE algorithm to each subblock, and we use the channel estimates in the previous subblock as the initial channel estimates in the current subblock. According to the division of the transmit frame, the computational complexity is decreased. In addition, the simplified SAGE algorithm can track the channel variation by using the channel estimates transferred between the subblocks.

元の言語English
ページ3651-3655
ページ数5
出版物ステータスPublished - 2004 12 1
外部発表Yes
イベントGLOBECOM'04 - IEEE Global Telecommunications Conference - Dallas, TX, United States
継続期間: 2004 11 292004 12 3

Other

OtherGLOBECOM'04 - IEEE Global Telecommunications Conference
United States
Dallas, TX
期間04/11/2904/12/3

    フィンガープリント

ASJC Scopus subject areas

  • Engineering(all)

これを引用

Someya, T., & Ohtsuki, T. (2004). SAGE algorithm for channel estimation and data detection with tracking the channel variation in MIMO system. 3651-3655. 論文発表場所 GLOBECOM'04 - IEEE Global Telecommunications Conference, Dallas, TX, United States.