DocumentCode
3160404
Title
Peak to average power reduction using amplitude and sign adjustment
Author
Sharif, Masoud ; Florens, Cedric ; Fazel, Maryam ; Hassibi, Babak
Author_Institution
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume
2
fYear
2004
fDate
20-24 June 2004
Firstpage
837
Abstract
In this paper, we propose a method to reduce the peak to mean envelope power ratio (PMEPR) of multicarrier signals by modifying the constellation. For MPSK constellations, we minimize the maximum of the multicarrier signal over the sign and amplitude of each subcarrier. In order to find an efficient solution to the aforementioned non-convex optimization problem, we present a suboptimal solution by first optimizing over the signs using the result of M. Sharif et al. (2003), and then optimizing over the amplitudes given the signs. We prove that the minimization of the maximum of a multicarrier signal over the amplitude of each subcarrier can be written as a convex optimization problem with linear matrix inequality constraints. We also generalize the idea to other constellations such as 16QAM. Simulation results show that by an average power increase of 0.21 db and not sending information over the sign of each subcarrier, PMEPR can be decreased by 5.1 db for a system with 128 subcarriers.
Keywords
linear matrix inequalities; minimisation; phase shift keying; probability; quadrature amplitude modulation; signal processing; MPSK constellations; PMEPR; amplitude adjustment; linear matrix inequality constraints; multicarrier signals; nonconvex optimization problem; peak to mean envelope power ratio; power reduction; sign adjustment; Bandwidth; Broadband amplifiers; Constellation diagram; Constraint optimization; Distortion; Linear matrix inequalities; OFDM; Peak to average power ratio; Power amplifiers; Probability distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2004 IEEE International Conference on
Print_ISBN
0-7803-8533-0
Type
conf
DOI
10.1109/ICC.2004.1312619
Filename
1312619
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