Open AccessMagnitude weighting selection: a method for peak‐to‐average power ratio reduction in transform domain communication system
Author(s) -
Wang Shu,
Da Xinyu,
Chu Zhenyong,
Liu Jian
Publication year - 2015
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2014.1120
Subject(s) - weighting , reduction (mathematics) , algorithm , magnitude (astronomy) , computer science , bit error rate , transmission (telecommunications) , computational complexity theory , interference (communication) , power (physics) , signal processing , frequency domain , range (aeronautics) , signal (programming language) , mathematics , telecommunications , physics , geometry , astronomy , medicine , channel (broadcasting) , radar , decoding methods , materials science , quantum mechanics , composite material , computer vision , radiology , programming language
One of major drawbacks of transform domain communication system (TDCS) is the high peak‐to‐average power ratio (PAPR) of the transmitted signal. A novel method named magnitude weighting selection (MWS) for PAPR reduction in TDCS is proposed. The method is based on multiplying used subcarriers by magnitude weights which are determined by the modified backtracking search optimisation algorithm. The MWS algorithm can significantly reduce the computational complexity with a low PAPR. Furthermore, it guarantees the normality of transmission signals and reduces the multiple‐user interference. Analytic and simulation results demonstrate that the MWS method makes a good tradeoff between PAPR reduction and bit error rate degradation in a specified magnitude weighting range.