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http://dx.doi.org/10.3837/tiis.2016.07.014

Reduction of Peak-to-Average Power Ratio of Multicarrier Modulation Signals with Adaptive Companding Scheme  

Hou, Jun (School of Information Engineering, Chang'an University)
Zhao, Xiangmo (School of Information Engineering, Chang'an University)
Hui, Fei (School of Information Engineering, Chang'an University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.7, 2016 , pp. 3117-3130 More about this Journal
Abstract
High peak-to-average power ratio (PAPR) of transmitted signals is a major drawback in Multicarrier modulation (MCM) systems. Companding transform is a well-known method to reduce the PAPR without restrictions on system parameters such as the number of subcarriers, frame format and constellation type. In this paper, a novel adaptive companding scheme, mainly focuses on compressing the large signals into the desirable distribution, is proposed to reduce the PAPR with low implementation complexity. In addition, formulas to calculate its PAPR and bit error rate (BER) performance are also derived. Simulation results confirm that the proposed scheme can achieve an effective tradeoff between PAPR reduction and BER performance by carefully choosing the companding parameter.
Keywords
Multicarrier modulation (MCM); companding; peak-to-average power ratio (PAPR); high power amplifier (HPA);
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Times Cited By KSCI : 2  (Citation Analysis)
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