Title :
Novel SLM Based Techniques for PAPR Reduction of OFDM
Author :
Hussain, Ibrahim M. ; Tasadduq, Imran A.
Author_Institution :
Dept. of Comput. Eng., Sir Syed Univ. of Eng. & Technol., Karachi
Abstract :
Three new algorithms based on minimization of autocorrelation of transmitted symbols and the SLM approach which are computationally less demanding have been proposed. In the first algorithm, autocorrelation of complex data sequence is minimized to a value of 1 that results in reduction of PAPR. Second algorithm generates multiple random sequences from the sequence generated in the first algorithm with same value of autocorrelation i.e. 1. Out of these, the sequence with minimum PAPR is transmitted. Third algorithm is an extension of the second algorithm and requires minimum side information to be transmitted. Multiple sequences are generated by modifying a fixed number of complex numbers in an OFDM data sequence using only one factor. The multiple sequences represent the same data sequence and the one giving minimum PAPR is transmitted. Simulation results for a 256 subcarrier OFDM system show that significant reduction in PAPR is achieved using the proposed algorithms
Keywords :
OFDM modulation; correlation methods; random sequences; OFDM data sequence; PAPR reduction; SLM approach; autocorrelation; multiple random sequence generation; orthogonal frequency division multiplexing; symbol transmission; Autocorrelation; Delay effects; Filtering theory; Hidden Markov models; Minimization methods; OFDM modulation; Peak to average power ratio; Radio transmitters; Random sequences; Wireless LAN;
Conference_Titel :
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location :
Hong Kong
Print_ISBN :
1-4244-0548-3
Electronic_ISBN :
1-4244-0549-1
DOI :
10.1109/TENCON.2006.344077