Title :
SLM and PTS peak-power reduction of OFDM signals without side information
Author :
Jayalath, A.D.S. ; Tellambura, C.
Author_Institution :
Dept. of Inf. Eng., Australian Nat. Univ., Canberra, ACT, Australia
Abstract :
Selected mapping (SLM) and partial transmit sequence (PTS) are well-known techniques for peak-power reduction in orthogonal frequency-division multiplexing (OFDM). We derive a simplified maximum likelihood (ML) decoder for SLM and PTS that operates without side information. This decoder exploits the fact that the modulation symbols belong to a given constellation and that the multiple signals generated by the PTS or SLM processes are widely different in a Hamming distance sense. Pairwise error probability (PEP) analysis suggests how SLM and PTS vectors should be chosen. The decoder performs well over additive white Gaussian noise (AWGN) channels, fading channels, and amplifier nonlinearities.
Keywords :
AWGN channels; Hamming codes; OFDM modulation; error statistics; fading channels; maximum likelihood decoding; AWGN channels; Hamming distance sense; OFDM signals; additive white Gaussian noise channels; amplifier nonlinearities; fading channels; maximum likelihood decoder; orthogonal frequency-division multiplexing; pairwise error probability; partial transmit sequence; peak-power reduction; selected mapping; AWGN; Constellation diagram; Frequency division multiplexing; Hamming distance; Maximum likelihood decoding; OFDM modulation; Pairwise error probability; Partial transmit sequences; Signal generators; Signal processing; Orthogonal frequency-division multiplexing (OFDM); partial transmit sequences; peak-to-average power ratio; selected mapping;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2005.853916
