|Table of Contents|

[1] Liu Jinzhu, Xing Song, Shen Lianfeng, et al. Ordered successive noise projection cancellation algorithmfor dual lattice-reduction-aided MIMO detection [J]. Journal of Southeast University (English Edition), 2013, 29 (3): 229-234. [doi:10.3969/j.issn.1003-7985.2013.03.001]

Ordered successive noise projection cancellation algorithmfor dual lattice-reduction-aided MIMO detection()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2013 3
Research Field:
Information and Communication Engineering
Publishing date:


Ordered successive noise projection cancellation algorithmfor dual lattice-reduction-aided MIMO detection
Liu Jinzhu1 2 Xing Song3 Shen Lianfeng1
1National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
2School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
3Department of Information Systems, California State University, Los Angeles, CA 90032, USA
ordered successive noise projection cancellation(OSNPC) dual lattice reduction(DLR) multi-input multi-output(MIMO)detection ordered successive interference cancellation(OSIC)
A novel nonlinear multi-input multi-output(MIMO)detection algorithm is proposed, which is referred to as an ordered successive noise projection cancellation(OSNPC)algorithm. It is capable of improving the computation performance of the MIMO detector with the conventional ordered successive interference cancellation(OSIC)algorithm. In contrast to the OSIC in which the known interferences in the input signal vector are successively cancelled, the OSNPC successively cancels the known noise projections from the decision statistic vector. Analysis indicates that the OSNPC is equivalent to the OSIC in error performance, but it has significantly less complexity in computation. Furthermore, when the OSNPC is applied to the MIMO detection with the preprocessing of dual lattice reduction(DLR), the computational complexity of the proposed OSNPC-based DLR-aided detector is further reduced due to the avoidance of the inverse of the reduced basis of the dual lattice in computation, compared to that of the OSIC-based one. Simulation results validate the theoretical conclusions with regard to both the performance and complexity of the proposed MIMO detection scheme.


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Biographies: Liu Jinzhu(1963—), male, graduate; Shen Lianfeng(corresponding author), male, professor, lfshen@seu.edu.cn.
Foundation items: The National Science and Technology Major Project(No.2012ZX03004005-003), the National Natural Science Foundation of China(No.61171081, 61201175), the Innovation Technology Fund of Jiangsu Province(No.BC2012006).
Citation: Liu Jinzhu, Xing Song, Shen Lianfeng.Ordered successive noise projection cancellation algorithm for dual lattice-reduction-aided MIMO detection[J].Journal of Southeast University(English Edition), 2013, 29(3):229-234.[doi:10.3969/j.issn.1003-7985.2013.03.001]
Last Update: 2013-09-20