Error Vector Magnitude Optimization for OFDM Systems With a Deterministic Peak-to-Average Power Ratio Constraint

被引：24

作者：

Liu, Qijia ^{[1
]}

Baxley, Robert J. ^{[2
]}

Ma, Xiaoli ^{[1
]}

Zhou, G. Tong ^{[1
]}

机构：

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

[2] Georgia Inst Technol, ITTL, Atlanta, GA 30318 USA

来源：

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING | 2009年 / 3卷 / 03期

基金：

美国国家科学基金会;

关键词：

Error vector magnitude (EVM); orthogonal frequency division multiplexing (OFDM); peak-to-average power ratio (PAR); power efficiency; REDUCTION TECHNIQUES; PERFORMANCE ANALYSIS; PAR REDUCTION; NONLINEARITIES; AMPLITUDE;

D O I：

10.1109/JSTSP.2009.2020239

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) has been adopted by several wireless transmission standards. A major disadvantage of OFDM is the large dynamic range of its time-domain waveforms, making OFDM vulnerable to nonlinearities; (including clipping effects) of the power amplifier (PA) and causing the PA to yield low efficiency on the RF to dc power conversion. A commonly used metric to characterize a signal's dynamic range is the peak-to-average power ratio (PAR). To suppress the nonlinear effects, one may want to reduce the signal PAR. However, this results in the increase of error vector magnitude (EVM), and may violate the spectral mask. In this paper, we formulate the problem as an EVNI optimization task subject to a deterministic PAR constraint and a spectral mask constraint. A low-complexity customized interior-point algorithm is developed to solve the optimization problem. We also discuss extensions of the optimization framework, whereby we optimize the parameters with respect to two metrics on signal-to-noise-and-distortion ratio (SNDR) and mutual information, respectively.

引用

页码：418 / 429

页数：12

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