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无线通信
Vol. 1 No. 2 (November 2011)
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一种改进的MIMO检测算法
An Improving Algorithm for MIMO Detection
DOI:
10.12677/hjwc.2011.12007
,
PDF
,
,
,
被引量
国家自然科学基金支持
作者:
肖莉
,
胡艳军
,
葛晓光
:
关键词:
迫零检测
;
最小均方误差检测
;
排序的迫零检测算法
;
最大似然检测算法
ZF; MMSE; ZF-OSIC; ML
摘要:
本文针对现有的ML(Maximum Likelihood)检测算法复杂度高,而传统检测算法性能不是很优的问题,提出了一种新的检测算法。新的检测算法结合ZF-OSIC和ML检测算法,根据ZF-OSIC(Force Zero- Ordered Successive Interference Cancellation)把发射信号的可能值限制在一定的范围内进行搜索,而不是对所有可能值的遍历。仿真结果表明,选择合适的搜索范围可以使BER性能在最接近ML性能的同时复杂度也得到了降低。
Abstract:
The existing ML (Maximum Likelihood) detection algorithm is of high complexity, and the tradi-tional detection algorithm doesn’t have very excellent performance. According to this problem, we propose a new detection algorithm in this paper. The new detection algorithm combined with ZF-OSIC and ML detec-tion algorithms, and to search by limiting the possible values for the transmitted signal within a certain range with ZF-OSIC (Force Zero-Ordered Successive Interference Cancellation), rather than traverse all possible values. The simulation results show that selecting the appropriate search range can make BER performance be most close to the ML performance while its complexity being reduced.
文章引用:
肖莉, 胡艳军, 葛晓光. 一种改进的MIMO检测算法[J]. 无线通信, 2011, 1(2): 34-38.
http://dx.doi.org/10.12677/hjwc.2011.12007
参考文献
[
1
]
沙福海. MIMO系统的检测算法研究[D]. 南京理工大学, 2010.
[
2
]
申雅峰. MIMO检测算法的研究与实现[D]. 西安电子科技大学, 2010.
[
3
]
王利永. MIMO检测算法的研究与实现[D]. 西安电子科技大学, 2010.
[
4
]
许鹏飞. TD-LTE系统MIMO检测技术研究[D]. 西安电子科技大学, 2010.
[
5
]
Y. Jiang, M. K. Varanasi and J. Li. Performance analysis of ZF and MMSE equalizers for MIMO systems: An in-depth study of the high SNR regime. IEEE Information Theory Society, 2011, 57(4): 2008-2026.
[
6
]
G. D. Golden, C. J. Foschini and R. A. Valenzuela. Detection al- gorithm and initial laboratory results using V-BLAST space-time communication architecture. IEEE Institution of Engineering and Technology, 2002, 35(1): 14-16.
[
7
]
S. B. Cai, Z. M. Duan and J. Gao. Comparison of different virtual MIMO detection schemes for 3GPP LTE. IEEE International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), Beijing, 2009.
[
8
]
X. G. Zhang, C. Q. Xu. A New OSIC detection algorithm for V- BLAST systems. IEEE International Conference on Wireless Com- munications, Networking and Mobile Computing (WiCOM), Shang- hai, 2007.
[
9
]
M. A. Shah, B. Mennenga and G. Fettweis. Iterative soft-in soft- out sphere detection for 3 GPP LTE. IEEE Vehicular Technology Conference (VTC), Taipei (Chinese), 2010.
[
10
]
P. Bhagawat, R. Dash and G. Choi. Dynamically reconfigurable soft output MIMO detector. IEEE International Conference on Computer Design (ICCD), Lake Tahoe, 2008.
[
11
]
S. K. Mohammed, A. Chockalingam and B. S. Rajan. A low- complexity Near-ML performance achieving algorithm for large MIMO detection. IEEE International Symposium on Information Theory (ISIT), Toronto, 2008.
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