收稿日期: 2011-04-24
修回日期: 2011-09-11
网络出版日期: 2012-09-22
基金资助
国家自然科学基金(No.61271262)；教育部长江学者和创新团队发展计划基金(No.IRT0951)；陕西省科学技术研究发展计划项目基金(No.2011K06-28)；高等学校博士学科点专项科研基金(No.20090205120002)；中央高校基本科研业务费专项资金(No.CHD2012JC069, No.CHD2012TD011)资助
Interleaving Differential MMSE Multiuser Detection Based on Cyclic-stationary Period
Received date: 2011-04-24
Revised date: 2011-09-11
Online published: 2012-09-22
以抑制宽带码分多址(wide code division multiple access, WCDMA)系统在快变信道中的多址干扰为目标，提出基于循环平稳周期的交织差分最小均方误差(interleaving differential minimum mean square error, IDMMSE) 多用户检测算法. 根据WCDMA系统特有的二级扩频结构，将差分最小均方误差(differential minimum mean square error, IDMMSE) 算法的权系数优化准则改为基于循环平稳周期，而不是基于简单的扩频因子. 该方法更准确地反映了多址干扰的变化规律，有利于抑制多址干扰. 另外，引入交织技术能使信源不相邻的具有相同综合扩频序列的符号在实际信道中相邻传输，从而保证DMMSE算法所需的快变信道中相邻两个符号周期内信道变化很小的假设成立. 仿真实验表明，IDMMSE算法能在一定程度上对抗多普勒频移，且误码性能优于现有自
适应MMSE算法.
冯兴乐， 李蔚， 姜云国 . 基于循环平稳周期的交织差分最小均方误差多用户检测算法[J]. 应用科学学报, 2012 , 30(5) : 466 -472 . DOI: 10.3969/j.issn.0255-8297.2012.05.005
To suppress multiple access interference (MAI) in wide code division multiple access (WCDMA) systems in a fast fading channel, an interleaving differential MMSE multiuser detection method based on the cyclo-stationary period is proposed. According to typical characteristics of two-layered spreading modulation in WCDMA, the update criterion of coefficients is based on the cyclo-stationary period, instead of the spread factor. As the proposed method can characterize the pattern of MAI properly, improved performance can be achieved. Moreover, interleaving is involved to let the symbols with the same comprehensive spread sequence be transmitted consecutively to ensure that the channel gains of successive symbols keep constant in the fast fading channel. Simulation results show the performance is improved without increasing the system complexity, and Doppler shift is better dealt with.
[1] Verdu S. Multiuser detection [M]. 2 ed. Cambridge,MA: Cambridge University Press, 1998.
[2] Du Qinghe, Zhu Shihua, Ren Pinyi. An improved adaptive MMSE algorithm for multirate multiuser detection in WCDMA systems [C]//IEEE Circuits
and Systems Symposium on Emerging Technologies, 2004: 317-320.
[3] Lui Tai, Lu E. MIMO NLMS-ZF data detection approach for WCDMA based HSDPA systems [C]//Sarnoff Symposium, 2009. [S.l.]: IEEE press,
2009: 1-5.
[4] Sharma S K, Naseem A S. Suppression of multiple access interference (MAI) in wideband code division multiple access (WCDMA) [C]//International
Conference on Wireless and Optical Communications Networks, 2007: 1-6.
[5] Madhow U, Zhu L J, Galup L. Differential MMSE: new adaptive algorithms for equalization, interference suppression and beamforming [C]//32nd Asilomar Conf. Signals, Systems and Computers, 1998: 641-642.
[6] 张宏滔，陆佶人，姜卫东. 一种用于MMSE接收机的差分检测自适应算法[J]. 数据采集与处理，2005, 20(3):277-280.
Zhang Hongtao, Lu Jiren, Jiang Weidong. Differential detection adaptive algorithm for MMSE receiver [J]. Journal of Data Acquisition and Processing,
2005, 20(3): 277-280. (in Chinese)
[7] Peter H. A statistical discrete-time model for the WSSUS multipath channel [J]. IEEE Transactions on Vehcular Technology, 1992, 41(4): 461-468.
[8] 王琳琳，陈建，孙晓颖，王书勋. DMMSE准则在DSCDMA 系统中的应用[J]. 吉林大学学报：信息科学版，2002, 20(01): 50-54.
Wang Linlin, Chen Jian, Sun Xiaoying, Wang Shuxun. Application of DMMSE criterion to DSCDMA systems [J]. Journal of Changchun Post and
Telecommunication Institute, 2002, 20(1): 50-54. (in Chinese)
[9] 冯兴乐，孙朝云，段宗涛，孙建成. 一种用于WCDMA 系统中的改进型恒模多用户检测算法[J]. 数据采集与处理，2008, 23(1): 51-54.
Feng Xingle, Sun Zhaoyun, Duan Zongtao. Improved constant modulus algorithm of multiuser detection in WCDMA systems [J]. Journal of Data Acquisition and Processing, 2008, 23(1): 51-54. (in Chinese)
[10] Madhow U, Zhu L J. Differential MMSE: a framework for robust adaptive interference suppression for DS-CDMA over fading channels [J]. IEEE Transactions on Communication, 2005, 53(8): 1377-1390.
[11] 3rd Generation Partnership Project. 3G TS 25.213 ver 2.3.0-1999, Technical specification group radio access networks: spreading and modulation (FDD) [S]. 1999.
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