Carrier initial phases estimation for single-channel adjacent-frequency mixture of digitally modulated signals

被引：0
|
作者：
Yang Y. [1 ]
Guo Y.-M. [1 ]
Wang H.-X. [2 ]
Peng H. [1 ]
Zhang D.-L. [1 ]
机构：
[1] School of Information Systems Engineering, PLA Information Engineering University, Zhengzhou
[2] Southwest Electronics and Telecommunication Technology Research Institute, Chengdu
来源：
| 2016年 / Editorial Board of Journal on Communications卷 / 37期
基金：
中国国家自然科学基金;
关键词：
Adjacent-frequency interference; Carrier initial phases estimation; Modified Cramer-Rao bound; Single-channel mixture;
D O I：
10.11959/j.issn.1000-436x.2016205
中图分类号：
学科分类号：
摘要：
For single-channel mixture of adjacent-frequency digitally modulated signals which have the fixed frame length and sync codes in non-cooperative satellite communications, a carrier initial phases estimation algorithm which can be applied to both low-order and high-order digitally modulated mixtures was provided according to the differences of parameters in the source signals. The sync data eliminated the frequency offset was added in the interval of frame length firstly, then timing synchronization was accomplished for the added result in terms of power maximization rule, thus the initial phases information was derived. Moreover, the modified Cramer-Rao bound (MCRB) of carrier initial phases for single-channel mixture of adjacent-frequency digitally modulated signals was derived for comparison. Simulation results show that, difference between estimation performance of the proposed algorithm and MCRB becomes smaller with the increase in the number of added frames. © 2016, Editorial Board of Journal on Communications. All right reserved.
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页码：141 / 148
页数：7
相关论文
共 16 条
  • [1] Mark D., Paired carrier multiple access (PCMA) for satellite communication, Pacific Telecommunications Conference, pp. 787-791, (1998)
  • [2] Gao B., Woo W.L., Dlay S.S., Single-channel source separation using EMD-Subband variable regularized sparse features, IEEE Transactions on Audio, Speech, and Language Processing, 4, pp. 961-976, (2011)
  • [3] Lu X.Y., Gao B., Khor L.C., Et al., Single channel source separation using filter bank and 2D sparse matrix factorization, Journal of Signal and Information Processing, 4, pp. 186-196, (2013)
  • [4] Zhu H., Zhang S.N., Zhao H.C., Single channel source separation and parameters estimation of multi-component pseudo-random code modulated pulse train, Journal of Electronics & Information Technology, 37, 7, pp. 1702-1709, (2015)
  • [5] Meyer R., Gerstacker W.H., Sohober R., Et al., A single antenna interference cancellation algorithm for increased GSM capacity, IEEE Transactions on Wireless Communications, 5, 4, pp. 1-6, (2006)
  • [6] Meng X.L., Liu Z., Jiang W.L., A single antenna interference cancellation algorithm based on fictitious channels filtering, Proceedings of IEEE 11th International Conference on Signal Processing, pp. 179-182, (2012)
  • [7] Zhang L.M., Yan W.J., Ling Q., Et al., A method for blind recognition of space-time block coding using single receive antenna, Journal of Electronics & Information Technology, 37, 11, pp. 2621-2627, (2015)
  • [8] Liu K., Li H., Et al., Single channel blind signal separation of co-frequency MPSK signals, Proceedings of International Conference on Communication, Internet and Information Technology, pp. 42-46, (2006)
  • [9] Tu S.L., Zheng H., Et al., Single-channel blind separation of two QPSK signals using per-survivor processing, Proceedings of IEEE Asia Pacific Conference on Circuits and Systems, pp. 473-476, (2008)
  • [10] Yang Y., Zhang D.L., Peng H., Et al., Single-channel blind separation of co-frequency modulated signals based on Gibbs sampler, Journal on Communications, 36, 4, pp. 156-162
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