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基于预编码矩阵的迭代均衡算法 被引量:1

Iterative equalization algorithm based on precoding matrix
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摘要 针对长期演进(long time evolution,LTE)下行多输入多输出正交频分多址链路(multiple-input multiple-output orthogonal frequency division multiplexing,MIMO-OFDM)异步通信系统中的天线间干扰和多径干扰的问题,提出一种低复杂度的基于预编码矩阵的迭代均衡算法。在发射端,该算法通过预编码矩阵将信号扩展到所有子载波上,从而降低部分子载波深衰落对扩展前原始信号的影响。在接收端,利用最小均方差误差排序QR分解(minimum mean square error sorted QR decomposition,MMSE-SQRD)软输入软输出干扰消除均衡算法,一方面避免传统基于最小均方误差(minimum mean square error,MMSE)并行软干扰消除均衡算法中复杂的矩阵求逆运算,进而降低了算法复杂度,另一方面利用信道排列优先检测信噪比最大的传输符号提高检测准确性。同时通过预编码对重构信号中误差进行扩展,进而缓解在迭代干扰消除过程中的误差传播。仿真结果证明,在2发2收场景下,误码率在10-3时,算法经过5次迭代后系统性能相比于现有的迭代均衡算法改善约4dB。 Aiming to co-antenna interference and multipath interference in the LTE downlink multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM)asynchronous communication sys-tem,a low complexity iterative equalization algorithm based on precoding matrix is proposed.At the transmit-ter,the algorithm utilizes precoding matrix to spread the symbols over all the subcarriers,which relieves the in-fluence of deep fading in part of the subcarriers.At the receiver,the algorithm adopts soft input soft output in-terference elimination algorithm based on the minimum mean square error sorted QR decomposition (MMSE-SQRD)to avoid the complexity of solving inverse matrix,which is always involved in the traditional parallel soft interference elimination algorithm based on minimum mean square error equalization.Utilizing a sorted QR de-composition of the channel matrix,on the other hand,the algorithm has the priority for detection transmission symbol with maximum noise-signal ratio to improve detection accuracy.Furthermore,the error of reconstructed signals is spread by the precoding matrix,which decreases the error propagation in iteration processing.Simulation re-sults show that the performance of the proposed algorithm is improved compared with the existing iterative interference cancellation algorithm,that is,when the system is equipped with 2 transmitters and 2 receivers and the bit error rate is 10 -3 ,the performance of the system is improved about 4 dB.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2015年第10期2358-2363,共6页 Systems Engineering and Electronics
基金 国家自然科学基金(61301095) 黑龙江省自然科学基金(F201345) 黑龙江省青年科学基金(QC2012C070)资助课题
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参考文献13

  • 1王杰令,杨宏,易克初,刘祖军.基于单载波频域均衡的多径合并算法[J].吉林大学学报(工学版),2010,40(5):1404-1408. 被引量:1
  • 2Lin H J, Tang Y X. Optimum linear detection of a modified V BLAST system with delay offsets[C]//Proc, of the IEEE Vehcular Technology Conference, 2008 : 1 - 4.
  • 3Mancho C N, Denreire L, Mogensen P. On the design of a MIMO-SIC receiver for LTE downlink[C]//Proc, of the 68th Vehicular Tech- nology Conference, 2008 : 1 - 5.
  • 4Lin H J, Tang Y X, Guan L. Ordered successive interference cancellation (OSIC) in V-BLAST systems with asynchronous transmission mode [ J ]. Wireless Personal Communications, 2010,60(2) : 263- 275.
  • 5Khalighi M, Boutros J, Helard J. Data aided channel estimation for Turbo-PIC MIMO detector[J]. IEEE Communications Let- ters, 2006,10 (5) :350-352.
  • 6Volker K. Combined MMSE-PIC in coded OFDM-CDMA sys- tems[C] // Proc. of the Global Telecommunications Conference, 2001:231 - 235.
  • 7莫韬甫,邵士海,刘田,唐友喜.异步MIMO-OFDM中基于预处理矩阵的迭代检测算法[J].电子与信息学报,2012,34(4):795-801. 被引量:3
  • 8Gui B, Qu D M. VBLAST-OFDM system with linear constella- tion precoding[C]//Proc, of the Vehicular Technology Con- ference, 2004:733 - 737.
  • 9Ghadrdan S, Salari S, Ahmadian M. Joint blind channel esti- mation for MIMO OFDM systems via non-redundant linear pre- coding[C]//Proc, of the International Conference on Commu- nications and Information Technology, 2011 : 59 - 63.
  • 10Tepedelenlioglu C, Challagulla R. Low-complexity multipath diversity through fractional sampling in OFDM [J]. IEEE Trans. on Signal Processing ,2004,54(11) :3104 - 3116.

二级参考文献15

  • 1杜丽洁,赵晓晖,罗思维.OFDM系统中一种改进的基于循环前缀的同步迭代算法[J].吉林大学学报(工学版),2007,37(1):177-181. 被引量:3
  • 2吴晓光,张治,邓钢.OFDM系统中一种高精度信道估计算法[J].北京邮电大学学报,2007,30(3):100-103. 被引量:3
  • 3Valcarce R L. Realizable linear and decision feedback equalizers: properties and connections[J]. IEEE Trans Signal Process, 2004, 52(3): 757- 773.
  • 4Wang N, Blostein S D. Comparison of CP based single carrier and OFDM with power allocation[J]. IEEE Tran Commun, 2005, 53(3): 391- 394.
  • 5Proakis J G. Digital Communications[M]. New York: McGraw-Hill, 1989.
  • 6Durgin G D, Rappaport T S. Theory of multipath shape factors for small-scale fading wireless channels[J]. IEEE Trans on Antennas and Propagation, 2000, 48(5): 682-693.
  • 7Tao Li, Mow W H, Siu M. Joint erasure marking and list viterhi algorithm for decoding in unknown non-Gaussian noise [J]. IEEE Trans on Wireles Commun, 2008, 7(3) 787-792.
  • 8Ohno S. Performance of single-carrier block transmissions over multipath fading channels with linear equalization[J]. IEEE Trans Signal Process, 2006, 54(10) : 3678-3687.
  • 9Barhumi I, Leus G, Moonen M. Time-varying FIR equalization for doubly selective channels[J]. IEEE Trans on Wireles Commun, 2005, 4(1). 202-214.
  • 10Yu Zhu, Letaief K B. Single carrier frequency domain equalization with time domain noise prediction for wideband wireless communications [J]. IEEE Trans on Wireles Commun, 2006, 5(12): 3548- 3557.

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