[1]于舒娟,张志涌.含公零点SIMO信道QPSK序列盲检测[J].东南大学学报(自然科学版),2005,35(6):867-871.[doi:10.3969/j.issn.1001-0505.2005.06.008]
　Yu Shujuan,Zhang Zhiyong.QPSK blind sequence detection of SIMO channels with common zeros[J].Journal of Southeast University (Natural Science Edition),2005,35(6):867-871.[doi:10.3969/j.issn.1001-0505.2005.06.008]
点击复制

含公零点SIMO信道QPSK序列盲检测()
分享到：

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
35
期数:
2005年第6期
页码:
867-871
栏目:
信息与通信工程
出版日期:
2005-11-20

文章信息/Info

Title:
QPSK blind sequence detection of SIMO channels with common zeros
作者:
于舒娟;  张志涌
南京邮电学院电子工程系, 南京 210003
Author(s):
Yu Shujuan;  Zhang Zhiyong
Department of Electronic Engineering, Nanjing Institute of Posts and Telecommunications, Nanjing 210003, China
关键词:
盲均衡;  单输入多输出信道;  公零点;  QPSK
Keywords:
blind equalization;  single-input multiply-output(SIMO)channel;  common zeros;  quadrature phase shift keying(QPSK)
分类号:
TN914.53
DOI:
10.3969/j.issn.1001-0505.2005.06.008
摘要:
在QPSK字符集下导出了与传统迫零均衡准则有本质不同的ε-均衡准则,并证明了ε-均衡器存在的充分及必要条件.给出了基于ε-均衡准则的QPSK序列盲检测算法,该算法将QPSK序列盲检测问题转化为带整数约束的二次规划问题.采用具有多项式近似复杂度的ε近似算法解决带整数约束的二次规划问题.仿真结果表明,该算法能够有效地适用于含公零点的单输入多输出信道,并对信道阶具有稳健性,无论信道是否包含公零点,该算法误码性能都明显优于基于二阶统计量的其他经典算法.
Abstract:
The ε-equalization principle which is different from the conventional zero-forcing equalization is deduced based on the quadrature phase shift keying(QPSK)alphabet. The necessary and sufficient condition of the existence of the ε-equalizer is proved. A QPSK blind sequence detection algorithm based on the ε-equalization principle is proposed. The algorithm can formulate the quadrature phase shift keying blind sequence detection into a quadratic programming with integer constraints. Finally, the problem of quadratic programming with integer constraints is solved by utilizing ε-approximation with polynomial approximate complexity. Simulation results demonstrate that the algorithm is applicable in the single-input multiply-output channels with common zero and it is robust to the channel order. Its performance is superior to some classical approaches based on second-order statistics no matter whether single-input multiply-output channels have common zeros or not.

参考文献/References:

[1] Giannakis G B,Hua Y B,Stoica P,et al.Signal processing advance in wireless and mobile communications,volume1:trends in channel estimation and equalization[M].北京:人民邮电出版社,2002.179-209.
[2] Tong L,Xu G,Kailath T.Blind channel identification and equalization using second-order statistics:a time-domain approach [J]. IEEE Trans Inform Theory,1994,40(3):340-349.
[3] Moulines E,Duhamel P,Cardoso J-F,et al.Subspace methods for the blind identification of multichannel FIR filters[J]. IEEE Trans Signal Processing,1995,43(2):516-525.
[4] Ding Z,Qiu L.Blind MIMO channel identification from second order statistics using rank deficient channel convolution matrix [J].IEEE Trans Signal Processing,2003,51(2):535-545.
[5] Ding Z.Matrix outer-product decomposition method for blind multiple channel identification [J].IEEE Trans on Signal Processing,1997,45(12):3045-3061.
[6] Ding Z,Li Y.Blind equalization and identification [M].New York:Marcel Dekker,2000.175-202.
[7] Li Q-Y,Bai E-W,Ding Z.Blind source separation of signals with known alphabets using ε-approximation algorithms[J].IEEE Trans Signal Processing, 2003,51(1):1-10.
[8] Li Q-Y,Bai E-W,Ye Y Y.Channel equalization and ε-approximation algorithm [J].IEEE Trans Signal Processing,2001,49(11):2823-2831.
[9] Li X-H,Fan H.Linear predication methods for blind fractionally spaced equalization [J].IEEE Trans Signal Processing,2000,48(6):1667-1675.
[10] Abed-Meraim K,Loubaton P.A subspace algorithm for certain blind identification problems [J]. IEEE Trans Signal Processing,1997,43(2):499-511.

备注/Memo

备注/Memo:
基金项目: 国家自然科学基金资助项目(60172058).
作者简介: 于舒娟(1967—),女,硕士,讲师,ysj919@sohu.com.
更新日期/Last Update: 2005-11-20