Training Sequence Design Based on Channel Estimation

Article Preview

Abstract:

Channel estimation is an important research direction in wireless communications; channel estimation based on the training sequence is the most commonly used method. Different training sequence is very different from the performance of channel estimation, in order to improve channel estimation accuracy. This paper analyzes the common m sequence and from the optimal channel estimated performance point design of applicable in any given length of sequence. The sequence, respectively, under the traditional channel estimated algorithm and based on compressed sensing to channel estimation algorithm has the criterion of Minimum Mean Square Error. Meanwhile, the sequence obtained after the demodulated training sequence through different modulation systems are different, so as to have greater flexibility.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1097-1104

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] I. Barhumi, G. Leus, and M. Moonen. Optimal training design for MIMO-OFDM systems in mobile wireless channels[J]. IEEE Trans. Signal. Processing, 2003, 51(6): 1615-1624.

DOI: 10.1109/tsp.2003.811243

Google Scholar

[2] N. Zierler. Several binary sequence generator Technical Report 95, MIT Linco-ln Lab, (1955).

Google Scholar

[3] Wenbo Wang, Kan Zheng. Broadband wireless OFDM technology[M]. Beijing: People's Posts and Telecommunications Press, (2007).

Google Scholar

[4] Xianda Zhang, Zheng Bao. Communication signal processing[M]. Beijing: National Defence Industry Press, (2000).

Google Scholar

[5] Changxin Fan. Communication principle[M]. Beijing: National Defence Industry Press, (2001).

Google Scholar

[6] D. L. Donoho. Compressed Sensing. IEEE Transactions on information theory, 2006, 52(04): 1289-1306.

DOI: 10.1109/tit.2006.871582

Google Scholar

[7] Tropp J A, Gilbert A C. Signal Recovery from Random Measurements Via Orthogonal Matching Pursuit IEEE Transactions on information theory, 2007: 53(12): 4655-4666.

DOI: 10.1109/tit.2007.909108

Google Scholar

[8] Gang Duo, Wenbo Wang, Yongyu Chang. Mobile communication principle and system[M]. Beijing: Beijing University of Posts and Telecommunications Press, (2009).

Google Scholar