基于认知无线电环境下OFDM峰值功率降低的柔性OFDM系统

B. Koussa, S. Bachir, C. Perrine, C. Duvanaud, R. Vauzelle
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引用次数: 2

摘要

基于正交频分复用(OFDM)的系统充分利用了多载波调制的优势。OFDM的动态频谱调整特性使其成为认知无线电系统中一种很有前途的技术。OFDM调制受到高功率峰值的影响,这会显著降低发射机的功率效率和线性度。本文采用音调保留方法降低OFDM系统的峰均功率比(PAPR)。考虑到算法的复杂性,我们打算考虑一种自适应算法来提高速度收敛和PAPR降低增益。该方法基于共轭梯度法,它是一种强大的梯度下降算法,在广泛的优化问题上具有可靠和高效的特点。射频功率放大器(PA)是对包络波动最敏感的元件,使用AB类2.4 ghz - 2w InGaP PA从误码率和误差矢量幅度方面评估了所提方法的性能。
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Flexible OFDM system for peak power reduction in OFDM-based Cognitive Radio context
Systems based on Orthogonal Frequency Division Multiplexing (OFDM) take advantages of multicarrier modulations. Properties in term of dynamic spectrum adjustment make OFDM a promising technology for Cognitive Radio systems. An OFDM modulation suffers from high power peaks, which significantly degrade the power efficiency and the linearity of the transmitter. In this paper, the Tone Reservation method is used to reduce the Peak-To-Average Power-Ratio (PAPR) in OFDM systems. We intend to consider an adaptive algorithm to improve speed convergence and PAPR reduction gain, taking into account the complexity of the algorithm. The proposed approach is based on the Conjugate-gradient method which is a powerful gradient descent algorithm, reliable and efficient on a wide range of optimization problems. The radio-frequency Power Amplifier (PA) being the most sensitive element to envelope fluctuations, a class AB 2.4 GHz-2 W InGaP PA is used to evaluate the performance of the proposed method in terms of Bit Error Rate and Error Vector Magnitude.
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