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相比于功率峰均比(PAPR),立方度量能够更加准确地预测功放的功率回退量,因此被认为是更有效的衡量正交频分复用(OFDM)信号包络变化的度量。为了提高功放效率,常用优化方法是直接最小化信号的立方度量值。然而,这样会引入严重的带内失真,造成系统误码率性能的恶化。该文提出了一种在立方度量值约束下最小化系统带内失真的凸优化模型,并设计了内点法定制方案求解此优化问题。仿真结果显示该算法相比现有优化算法能够显著提高系统误码率及立方度量性能。
Compared to PAPR, the cubic metric can predict the power backoff of the power amplifier more accurately and is therefore considered to be a more effective measure of the envelope change of an Orthogonal Frequency Division Multiplexing (OFDM) signal. In order to improve the efficiency of the power amplifier, a common optimization method is to directly minimize the cubic measure of the signal. However, this introduces severe in-band distortion, resulting in a deterioration of the system’s bit error rate performance. This paper presents a convex optimization model that minimizes the in-band distortion of the system under the constraint of cubic metric and designs a solution to this optimization problem by using the interior point method. Simulation results show that the proposed algorithm can significantly improve the system BER and cubic metric performance compared with the existing optimization algorithms.