Iterative rake structural decision feedback equalization in linear single frequency network of Chinese high speed railway television system
Version 2 2024-06-06, 11:24Version 2 2024-06-06, 11:24
Version 1 2017-07-26, 10:59Version 1 2017-07-26, 10:59
conference contribution
posted on 2024-06-06, 11:24authored byB Liu, L Gui, W Zhang, L Gong
The Chinese High Speed Railway Television (HSRT) has become a new hotpot among applications of broadcasting technology. In this paper, we consider a kind of network infrastructure based on signal frequency network (SFN) design. The character of linear SFN in the railway television system is that receiver between two transmitters will receive signal from both base stations. When single carrier system is adopted as the modulation/demodulation technique, decision feedback equalization (DFE) is used to combat the interference brought by SFN and reflected signals. However, traditional DFE may waste the signal power of dispersive channels. Thus it is not the most effective method in the linear SFN of railway television. To deal with this problem, we propose an iterative rake structural DFE algorithm with cancellation (IR-DFE-C). Theoretical analysis and simulation show that IR-DFE-C algorithm utilizes the power of multipath channels more efficiently than traditional time domain decision feedback equalization (TD-DFE). Moreover, this IR-DFE-C will not be affected by the deep fading problems in frequency domain. Therefore it has advantages over both TD-DFE and frequency domain linear equalization (FD-LE) method which has the problem of noise enhancement in such circumstances.
History
Pagination
1-6
Location
Nuremberg, Germany
Start date
2011-06-08
End date
2011-06-19
ISSN
2155-5044
eISSN
2155-5052
ISBN-13
9781612841229
Language
eng
Publication classification
E Conference publication, E1.1 Full written paper - refereed
Copyright notice
[2011, IEEE]
Editor/Contributor(s)
[Unknown]
Title of proceedings
BMSB 2011 : Proceedings of the 2011 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting