一种降低OFDM误码率及立方度量值的凸优化算法

发布时间：2018-05-08 08:44

本文选题：误码率 + 凸优化算法　；参考：《电子科技大学学报》2017年01期

【摘要】：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。
[Abstract]:Compared with PAPRN, the cubic metric can predict the power fallback more accurately, so it is considered to be a more effective measure to measure the envelope change of OFDM signals in orthogonal Frequency Division Multiplexing (OFDM). In order to improve the efficiency of power amplifier, the commonly used optimization method is to directly minimize the cubic measure of the signal. However, this will lead to serious intra-band distortion, resulting in the deterioration of the system bit error rate (BER) performance. In this paper, a convex optimization model is proposed to minimize the in-band distortion of the system under the constraint of cubic measures, and an interior point customization scheme is designed to solve the optimization problem. Simulation results show that the proposed algorithm can significantly improve the bit error rate (BER) and cubic metric performance compared with the existing optimization algorithm.
【作者单位】：电子科技大学通信抗干扰技术国家级重点实验室;
【分类号】：TN92

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