Magnitude weighting selection: a method for peak‐to‐average power ratio reduction in transform domain communication system. Issue 15 (1st October 2015)

• Record Type: Journal Article
• Authors: Wang, Shu; Da, Xinyu; Chu, Zhenyong; Liu, Jian
• Is Part Of: IET communications. Volume 9:Issue 15(2015)
• Page Start: 1894
• Page End: 1901
• Publication Date: 2015-10-01
• Subjects: search problems -- radio networks -- radio transceivers; magnitude weighting selection -- peak‐to‐average power ratio reduction method -- transform domain communication system -- TDCS -- PAPR -- transmitted signal -- MWS -- subcarriers -- modified backtracking search optimisation algorithm -- computational complexity -- multiple user interference -- spectrum agile transceiver technology -- radio environment; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2014.1120
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : 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.