An eigen domain transmission scheme for MIMO systems under narrowband interference

被引:0
|
作者
Liu F. [1 ]
Zhao H. [1 ]
Tang Y. [1 ]
机构
[1] National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu
基金
中国国家自然科学基金;
关键词
Eigen domain Transmission Scheme (ETS); Interference suppression; MIMO; Wireless communication;
D O I
10.11999/JEIT150967
中图分类号
学科分类号
摘要
This paper proposes an Eigen domain Transmission Scheme (ETS) to enhance the capacity of MIMO systems under NarrowBand Interference (NBI). First, the transmitter generates N branches of data streams in the eigen domain, then, according to the statistical characteristic of the NBI, the eigen domain signal is transformed into the time domain for transmission. At the receiver, the received time domain signal is transformed into the eigen domain again. Thereafter, the desired channel is divided into N parallel subchannels, to maximize the capacity of the interference channel, the transmission scheme of each subchannel is determined by the power distribution of the NBI. Simulations show that when the capacity is15 bits(s·Hz), the proposed eigen domain transmission scheme has about 10 dB gain over the traditional interference rejection algorithm in the 2×2 MIMO system. © 2016, Science Press. All right reserved.
引用
收藏
页码:1385 / 1390
页数:5
相关论文
共 17 条
  • [1] Liu S., Yang F., Zhang C., Et al., Narrowband interference mitigation based on compressive sensing for OFDM systems, IEICE Transactions on Fundamental of Electronics, Communications and Computer Science, E98-A, 3, pp. 870-873, (2015)
  • [2] Marey M., Steendam H., Analysis of the narrowband interference effect on OFDM timing synchronization, IEEE Transactions on Signal Processing, 55, 9, pp. 4558-4566, (2007)
  • [3] Li T., Mow W.H., Lau V.K.N., Et al., Robust joint interference detection and decoding for OFDM-based cognitive radio systems with unknown interference, IEEE Journal on Selected Areas in Communications, 25, 3, pp. 566-575, (2007)
  • [4] Shen B., Wang J., Estimation of PN sequence in DSSS signals with unknown carrier frequency under narrow band interferences, Journal of Electronics & Information Technology, 37, 7, pp. 1556-1561, (2015)
  • [5] Du Y., Dong B., Tang P., Et al., Performance analysis of FH/MFSK system in the presence of new partial-band noise jamming model, Journal of Electronics & Information Technology, 37, 3, pp. 721-726, (2015)
  • [6] Abedi O., Yagoub M., Efficient narrowband interference cancellation in ultra-wide-band rake receivers, IET Communications, 7, 1, pp. 57-64, (2013)
  • [7] Liu S., Yang F., Ding W., Et al., Double Kill: Compressive sensing based narrowband interference and impulsive noise mitigation for vehicular communications, IEEE Transactions on Vehicular Technology, (2015)
  • [8] Sum C., Harada H., The impact of sub-band spreading bandwidth on DS-MB-UWB system over multipath and narrowband interference, IEICE Transactions on Fundamental of Electronics, Communications and Computer Science, E96-A, 3, pp. 740-744, (2013)
  • [9] Wang D., Jiang L., He C., Robust noise variance and channel estimation for SC-FDE UWB systems under narrowband interference, IEEE Transactions on Wireless Communications, 8, 6, pp. 3249-3259, (2009)
  • [10] Buzzi S., Lops M., Poor H.V., Code-aided interference suppression for DS/CDMA overlay systems, Proceedings of the IEEE, 90, 3, pp. 394-435, (2002)