An improved backtracking search optimization algorithm for cubic metric reduction of OFDM signals

被引：9

作者：

Emami, Hojjat ^{[1
]}

Sharifi, Abbas Ali ^{[2
]}

机构：

[1] Univ Bonab, Dept Comp Engn, Bonab, Iran

[2] Univ Bonab, Dept Elect Engn, Bonab, Iran

来源：

ICT EXPRESS | 2020年 / 6卷 / 03期

关键词：

OFDM; Cubic metric (CM); PTS; Improved backtracking search (IBS);

D O I：

10.1016/j.icte.2020.03.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The large amplitude variations of OFDM signals generate in-band distortion and out-of-band radiation. In recent years, cubic metric (CM) has been verified as a more accurate metric to measure the amplitude variations. In this paper, the PTS technique is used to decrease the CM of OFDM signals. To overcome the search complexity of an exhaustive search based PTS technique, we introduce an improved backtracking search (IBS) optimization algorithm. Simulations are conducted to show the advantages of the proposed IBS based PTS approach compared with the conventional OFDM, and several state-of-the-art methods in terms of search complexity and CM reduction performance. (C) 2020 The Korean Institute of Communications and Information Sciences (KICS). Publishing services by Elsevier B.V.

引用

页码：258 / 261

页数：4

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