DocumentCode :
3367670
Title :
Optimized Gradient Projection for PAPR reduction of OFDM signals
Author :
Luo, Hao ; Zhou, Li
Author_Institution :
Sch. of Inf. Eng., Nanchang HangKong Univ., Nanchang, China
fYear :
2011
fDate :
28-30 Oct. 2011
Firstpage :
118
Lastpage :
121
Abstract :
In this paper, a new Optimized Gradient Projection (OGP) algorithm is proposed based on Partial Transmit Sequence (PTS) and Active Constellation Extension (ACE) algorithm to reduce Peak-to-Average Power Ratio (PAPR) in Orthogonal Frequency Division Multiplexing (OFDM) system. The improved PTS algorithm using Linear Search Iterative Shift (LSIS) selects the sequence with lowest PAPR to transmit. The output signal of LSIS PTS is set as the input signal of ACE algorithm. ACE uses Gradient Projection (GP) algorithm to reduce the PAPR. A pre-clipping vector in ACE is proposed to decrease the computation. Simulation results show that OGP algorithm can attain a sharp drop of CCDF curve and reduce PAPR to an acceptable level with lower computation complexity.
Keywords :
OFDM modulation; communication complexity; gradient methods; OFDM signals; PAPR reduction; active constellation extension; computation complexity; linear search iterative shift; optimized gradient projection; orthogonal frequency division multiplexing; partial transmit sequence; peak-to-average power ratio; preclipping vector; Algorithm design and analysis; Large scale integration; Partial transmit sequences; Peak to average power ratio; Time domain analysis; Vectors; ACE; OFDM; Optimized Gradient Projection; PTS; Peak-to-average Power Ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Broadband Network and Multimedia Technology (IC-BNMT), 2011 4th IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-61284-158-8
Type :
conf
DOI :
10.1109/ICBNMT.2011.6155907
Filename :
6155907
Link To Document :
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