DocumentCode
2011434
Title
Performance analysis of synchronization algorithm based on the improved S-V channel model for UWB systems
Author
Wang, Hongjiang ; Ji, Fei ; Wei, Gang ; Liu, Guikai ; Feng, Yizhi
Author_Institution
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
fYear
2009
fDate
12-14 Oct. 2009
Firstpage
1
Lastpage
7
Abstract
Timing synchronization has been one of the largest challenges for Ultra-wideband (UWB) systems. To achieve the excellent performance, synchronization systems must have the characteristics of high speed, high accuracy and low complexity. In another literature, we have proposed a novel synchronization method, Multi-hypothesis Maximum Energy Path Acquisition (MH-MEPA) algorithm, based on the improved S-V channel model proposed by IEEE 802.15.3a group to rapidly realize timing synchronization with high accuracy. To improve the MH-MEPA algorithm, the paper deduces the expressions of the probability of acquisition, mean acquisition time and the error probability and analyzes the effects of the time delay jitter on the detection probability, mean acquisition time and error probability. Simulation results show that the MH-MEPA algorithm outperforms the existing ones, i.e., achieving the smaller mean acquisition time, higher accuracy and lower error probability than others.
Keywords
error statistics; synchronisation; timing jitter; ultra wideband communication; wireless channels; IEEE 802.15.3a; MH-MEPA algorithm; S-V channel model; UWB system; detection probability; error probability; mean acquisition time; multihypothesis maximum energy path acquisition; time delay jitter; timing synchronization algorithm performance analysis; Algorithm design and analysis; Delay effects; Error probability; Fading; Interference; Jitter; Performance analysis; Space vector pulse width modulation; Timing; Ultra wideband technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Mobile Congress 2009
Conference_Location
Shanghai
Print_ISBN
978-1-4244-5302-3
Electronic_ISBN
978-1-4244-5301-6
Type
conf
DOI
10.1109/GMC.2009.5295882
Filename
5295882
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