DocumentCode :
2566766
Title :
A Novel Structure of Signal Demodulation in High Frequency (HF) Channel
Author :
Ning, Chang ; Yu Hongyi
Author_Institution :
Dept of Commun. Eng., I.E. Univ., ZhengZhou, China
fYear :
2009
fDate :
15-17 May 2009
Firstpage :
107
Lastpage :
111
Abstract :
In this paper, a novel demodulation structure in high-frequency (HF) channel is introduced and studied. Frequency-offset estimation, fractionally spaced adaptive equalization and carrier recovery techniques are involved. Frequency-offset correction is carried out based on channel impulse response estimation. Fractionally spaced adaptive equalization and carrier recovery are combined with non-linear decision feedback loop structure, and the initial value of tap coefficients of equalization are obtained from the previous channel estimation. Simulation is conducted under channel parameters with respect to MIL-STD-188-110B using a Monte Carlo technique. The results show this novel demodulation structure is feasible and efficient in HF channel, the symbol error ratio can reach to 10-3 in 12 dB SNR.
Keywords :
Monte Carlo methods; adaptive equalisers; channel estimation; demodulation; fading channels; multipath channels; transient response; HF channel; MIL-STD-188-110B; Monte Carlo technique; carrier recovery techniques; channel impulse response estimation; demodulation structure; fractionally spaced adaptive equalization; frequency-offset correction; frequency-offset estimation; high frequency channel; nonlinear decision feedback loop structure; signal demodulation; symbol error ratio; Adaptive equalizers; Channel estimation; Decision feedback equalizers; Demodulation; Fading; Frequency estimation; Hafnium; Intersymbol interference; Matched filters; Signal processing; HF channel; carrier recovery; channel estimation; fractionally spaced adaptive equalization; frequency-offset estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
2009 International Conference on Signal Processing Systems
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3654-5
Type :
conf
DOI :
10.1109/ICSPS.2009.19
Filename :
5166756
Link To Document :
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