Abstract
In this paper, we present a new precoding technique using rotation transformations for closed loop multiple-input multiple-output (MIMO) wireless systems, which does not require the singular value decomposition (SVD) operation of the channel transfer matrix and allows a simple maximum-likelihood (ML) decoding at the receiver. We divide the precoding process into two steps: orthogonalization transformation which induces orthogonality between transmitted signals and beamforming transformation which achieves diversity gain. In the proposed method, we utilize a design criterion based on the minimum Euclidean distance between the received signals and then the vector orthogonalization is connected to the vector-norm maximization. In this paper, we focus on spatial multiplexing systems transmitting two independent data streams. Compared with the SVD based schemes, the proposed approach maintains a low complexity by relying only on three different kinds of rotation matrices for both the orthogonalization and beamforming transformation. Simulation results confirm that the proposed two step precoding achieves the better performance than the conventional SVD based MIMO precodings with reduced complexity.
| Original language | English |
|---|---|
| Pages (from-to) | 861-870 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Communications |
| Volume | 57 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2009 Apr 8 |
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Keywords
- Closed-loop systems
- Maximum likelihood detection (MLD)
- MIMO systems
- Space division multiplexing (SDM)
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
A new two-step precoding strategy for closed-loop mimo systems. / Lee, Heunchul; Park, Seokhwan; Lee, Inkyu.
In: IEEE Transactions on Communications, Vol. 57, No. 3, 08.04.2009, p. 861-870.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A new two-step precoding strategy for closed-loop mimo systems
AU - Lee, Heunchul
AU - Park, Seokhwan
AU - Lee, Inkyu
PY - 2009/4/8
Y1 - 2009/4/8
N2 - In this paper, we present a new precoding technique using rotation transformations for closed loop multiple-input multiple-output (MIMO) wireless systems, which does not require the singular value decomposition (SVD) operation of the channel transfer matrix and allows a simple maximum-likelihood (ML) decoding at the receiver. We divide the precoding process into two steps: orthogonalization transformation which induces orthogonality between transmitted signals and beamforming transformation which achieves diversity gain. In the proposed method, we utilize a design criterion based on the minimum Euclidean distance between the received signals and then the vector orthogonalization is connected to the vector-norm maximization. In this paper, we focus on spatial multiplexing systems transmitting two independent data streams. Compared with the SVD based schemes, the proposed approach maintains a low complexity by relying only on three different kinds of rotation matrices for both the orthogonalization and beamforming transformation. Simulation results confirm that the proposed two step precoding achieves the better performance than the conventional SVD based MIMO precodings with reduced complexity.
AB - In this paper, we present a new precoding technique using rotation transformations for closed loop multiple-input multiple-output (MIMO) wireless systems, which does not require the singular value decomposition (SVD) operation of the channel transfer matrix and allows a simple maximum-likelihood (ML) decoding at the receiver. We divide the precoding process into two steps: orthogonalization transformation which induces orthogonality between transmitted signals and beamforming transformation which achieves diversity gain. In the proposed method, we utilize a design criterion based on the minimum Euclidean distance between the received signals and then the vector orthogonalization is connected to the vector-norm maximization. In this paper, we focus on spatial multiplexing systems transmitting two independent data streams. Compared with the SVD based schemes, the proposed approach maintains a low complexity by relying only on three different kinds of rotation matrices for both the orthogonalization and beamforming transformation. Simulation results confirm that the proposed two step precoding achieves the better performance than the conventional SVD based MIMO precodings with reduced complexity.
KW - Closed-loop systems
KW - Maximum likelihood detection (MLD)
KW - MIMO systems
KW - Space division multiplexing (SDM)
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U2 - 10.1109/TCOMM.2009.03.060633
DO - 10.1109/TCOMM.2009.03.060633
M3 - Article
AN - SCOPUS:63649143921
VL - 57
SP - 861
EP - 870
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
SN - 0090-6778
IS - 3
ER -