|
For Full-Text PDF, please login, if you are a member of IEICE,
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
|
Signal Detection for EM-Based Iterative Receivers in MIMO-OFDM Mobile Communications
Kazushi MURAOKA Kazuhiko FUKAWA Hiroshi SUZUKI Satoshi SUYAMA
Publication
IEICE TRANSACTIONS on Communications
Vol.E97-B
No.11
pp.2480-2490 Publication Date: 2014/11/01 Online ISSN: 1745-1345
DOI: 10.1587/transcom.E97.B.2480 Type of Manuscript: PAPER Category: Wireless Communication Technologies Keyword: mobile communication, MIMO-OFDM, EM algorithm, factor graph, message passing, signal detection, channel estimation,
Full Text: PDF>>
Summary:
Joint signal detection and channel estimation based on the expectation-maximization (EM) algorithm has been investigated for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) mobile communications over fast-fading channels. The previous work in [20] developed a channel estimation method suitable for the EM-based iterative receiver. However, it remained possible for unreliable received signals to be repetitively used during the iterative process. In order to improve the EM-based iterative receiver further, this paper proposes spatial removal from the perspective of a message-passing algorithm on factor graphs. The spatial removal performs the channel estimation of a targeted antenna by using detected signals that are obtained from the received signals of all antennas other than the targeted antenna. It can avoid the repetitive use of unreliable received signals for consecutive signal detection and channel estimation. Appropriate applications of the spatial removal are also discussed to exploit both the removal effect and the spatial diversity. Computer simulations under fast-fading conditions demonstrate that the appropriate applications of the spatial removal can improve the packet error rate (PER) of the EM-based receiver thanks to both the removal effect and the spatial diversity.
|
|
|