基于凸优化的OFDM信号峰均比抑制算法  

PAR Reduction in OFDM Signals Using Convex Opimization

作　　者：房炫伯 孙鑫 殷国梁 FANG Xuanbo;SUN Xin;YIN Guoliang(Sichuan Energy Internet Research Institute,Tsinghua University,Chengdu 610213,China)

机构地区：[1]清华四川能源互联网研究院,成都610213

出　　处：《自动化与仪器仪表》2022年第8期118-121,共4页Automation & Instrumentation

摘　　要：正交频分复用调制(OFDM)作为无线通信技术关键技术之一,其缺点是高峰值平均功率比(PAPR)。提出了一种结合限幅滤波和凸优化技术的峰均比抑制算法。利用优化内点法(IPM)对凸优化问题进行求解,能有效地在一定星座误差的约束条件下将OFDM信号的PAPR最小化。该算法相比于ICF方法能进一步降低峰均比且能获得更好的误码性能。仿真结果表明该方法能有效降低峰均比,在限幅后利用IPM算法迭代2次就能获得与ICF算法迭代16次相近的PAPR降幅,而且误码性能也有一定提高。The orthogonal frequency division multiplexing(OFDM) has become one of the key technologies of the mobile communication.However,the disadvantage of the higher peak-to-average power ratio which OFDM exhibits is a major obstacle in the implementation of power efficient transmitter.In this paper,an optimized method is proposed which combines the iterative clipping and filtering(ICF) with convex optimization.Convex optimization problem based on error vector magnitude(EVM) constraint can efficiently minimalize the PAPR.In comparison with the classical ICF method,it can further reduce the PAPR and achieve a better bit-error-rate performance.Simulation results shows that,the proposed method can reduce PAPR to an acceptable level after only 2 iterations whereas the ICF method needs 16 iterations to achieve a similar PAPR reduction.Moreover,the BER performance also outperforms the ICF method.

关 键 词：正交频分复用调制 凸优化 峰均比抑制 限幅滤波 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]