Superimposed training for OFDM: A peak-to-average power ratio analysis

被引：49

作者：

Chen, Ning ^{[1
]}

Zhou, G. Tong

机构：

[1] Freescale Semicond Inc, Austin, TX 78729 USA

[2] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2006年 / 54卷 / 06期

基金：

美国国家科学基金会;

关键词：

orthogonal-frequency-division multiplexing (OFDM); peak-to-average power ratio (PAR); superimposed training;

D O I：

10.1109/TSP.2006.874299

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Orthogonal frequency division multiplexing (OFDM) transmission with superimposed training is considered in this paper. One major disadvantage of OFDM is the significant amplitude fluctuations, i.e., high peak-to-average power ratios (PARs). High PARs require large backoff of the average operating power of a radio-frequency (RF) power amplifier (PA) in order to linearly amplify the signal, thus reducing the de to RF power conversion efficiency. The PAR of the OFDM signal is examined with superimposed training, and its complementary cumulative distribution function (CCDF) is derived. Achievable lower and upper bounds on the CCDF are also determined. In addition, the PAR change is linked to the effective signal-to-noise ratio (SNR) and thus the bit-error-rate (BER) performance under the fixed dc power constraint. Simulation results are presented to illustrate the proposed PAR and power analysis for OFDM with superimposed training.

引用

页码：2277 / 2287

页数：11

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