DocumentCode :
497111
Title :
The Performance of the OFDM System´s PAPR of Different Segmentation of PTS
Author :
Wang, Hongxia ; Ma, Xiuli ; Zhang, Zhijing
Author_Institution :
Sch. of Comput. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Volume :
1
fYear :
2009
fDate :
4-5 July 2009
Firstpage :
511
Lastpage :
514
Abstract :
Because the OFDM signal has higher Peak to Average Power Ratio (PAPR), the efficiency of Amplifier is badly influenced in Orthogonal Frequency Division Multiplexing (OFDM) system and caused signal distortion in-band. Therefore, reducing PAPR of OFDM signal is very important. The Partial Transmitted Sequences (PTS) method can effectively reduce PAPR of the OFDM signals, but the basic algorithm of PTS has higher computational complexity, the appropriate segmentation method can reduce the computational complexity. Based on analyzing the basic principles of adjacent segmentation, interleaved segmentation and pseudo-random segmentation, mainly analyses the adjacent segmentation´s different groups influenced the PAPR of OFDM system. Numerical results show that the adjacent segmentation´s different groups can reduce the PAPR of OFDM system effectively. and deduced the computational complexity of the algorithm.
Keywords :
OFDM modulation; distortion; image segmentation; image sequences; OFDM; PAPR; PTS; computational complexity; image segmentation; interleaved segmentation; partial transmitted sequences; peak to average power ratio; pseudo-random segmentation; signal distortion in-band; Application software; Computational complexity; Computer science; Frequency division multiplexing; High power amplifiers; Nonlinear distortion; OFDM; Partial transmit sequences; Peak to average power ratio; Signal processing; Orthogonal frequency division multiplexing; Partial Transmitted Sequences; Peak to Average Power Ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
Type :
conf
DOI :
10.1109/ESIAT.2009.20
Filename :
5200171
Link To Document :
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