RF microelectronics
OFDM for Wireless Multimedia Communications
OFDM for Wireless Multimedia Communications
BookWare Companion: Communication Systems with MATLAB
BookWare Companion: Communication Systems with MATLAB
Low-Power VLSI architectures for OFDM transmitters based on PAPR reduction
PATMOS'05 Proceedings of the 15th international conference on Integrated Circuit and System Design: power and Timing Modeling, Optimization and Simulation
Low-power maximum magnitude computation for PAPR reduction in OFDM transmitters
PATMOS'06 Proceedings of the 16th international conference on Integrated Circuit and System Design: power and Timing Modeling, Optimization and Simulation
SLM and PTS peak-power reduction of OFDM signals without side information
IEEE Transactions on Wireless Communications
Power savings analysis of peak-to-average power ratio in OFDM
IEEE Transactions on Consumer Electronics
PAPR reduction of the low complexity phase weighting method in OFDM communication system
IEEE Transactions on Consumer Electronics
International Journal of Wireless and Mobile Computing
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Increased peak-to-average power ratio (PAPR) imposes a design challenge for orthogonal frequency division multiplexing-based signals. An efficient technique to address the increased PAPR problem is the partial transmit sequences (PTS) approach. A significant drawback of PTS is the fact that it multiplies the transmitted symbol with weighting factors selected by the transmitter. Since the weighting factors are required for decoding, they are explicitly transmitted, in most cases. This paper proposes a new low-complexity technique for retrieving the weighting factors in the receiver. The proposed decoder uses the predefined values of pilot tones and explores all the permissible combinations of weighting factors in order to identify the factor combination employed by the transmitter. The proposed decoder requires no additional pilot tones or explicit transmission of side information, therefore no data rate loss is implied. Furthermore this paper presents a digital very large scale integration implementation of the proposed PTS decoder and demonstrates its low-power properties.