A self companding transform to.reduce peak-to-average power ratio in OFDM based WLANs

被引：4
|
作者：
Ren, Guangliang [1 ]
Zhang, Huining [1 ]
Chang, Yilin [1 ]
Zhang, Hui [1 ]
机构：
[1] Xidian Univ, Natl Key Lab ISN, Xian 710071, Shaanxi, Peoples R China
来源：
2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING | 2006年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/ICCCAS.2006.284849
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A high peak-to-average power ratio (PAPR) makes the orthogonal frequency division multiplexing (OFDM) based wireless local area lans (WLANs) sensitive to non-linear distortion in the transmission. The companding transform approach is a very attractive technique to reduce PAPR, but large PAPR reduction leads to a high bit-error rate (BER) by the available companding transform techniques. In this paper, we propose and analyze a new envelop equalized processing (EEP), which makes the amplitude of the OFDM signal constant. Based on the proposed EEP, a novel self companding transform (SCT) is constructed to reduce the PAPR of the orthogonal frequency division multiplexing signal. Simulation results show that the proposed SCT technique has a low bit error rate while achieving a significant reduction of PAPR, and outperforms the well-known clipping filtering(CF) scheme and the improved mu-law companding(ICT) technique substantially.
引用
收藏
页码：1142 / +
页数：2
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