摘要
本文提出了一种通过对子载波数据进行加权来降低OFDM系统PAPR的方法。该方法实现简单,能有效降低OFDM系统的PAPR,且无需向接收端发送其它用于解调的信息。通过遗传算法求解每个OFDM符号的最优加权向量,在保证PAPR抑制效果的同时大大降低了加权系数的计算时间,并与投影拉格朗日法进行了比较。由于加权引起子载波功率的不同将导致系统SER的下降,但仿真结果表明,在信噪比较高的条件下,只要合理控制加权系数的取值范围,便可以在PAPR抑制能力和SER性能损失之间取得较好的平衡和折衷。
A method for PAPR reduction based on weighting the data on sub-carriers in OFDM system is proposed.It is easier to implement and can reduce PAPR efficiently without any transmission of side information.The optimum weighting vector for each OFDM symbol is obtained by using Genetic Algorithm(GA),which reduces the calculation time efficiently with a guarantee of a sufficient PAPR reduction,and its performances are compared with Projected Lagrange Method.The SER performance decreases due to the power difference of sub-carriers,the simulation results indicate that when SNR is high enough,a good tradeoff can be obtained between PAPR reduction performance and SER degradation under certain weighting coefficients range.
出处
《电路与系统学报》
CSCD
北大核心
2011年第4期40-43,39,共5页
Journal of Circuits and Systems
关键词
OFDM
峰均比
遗传算法
子载波加权
OFDM
Peak-to-average power ratio(PAPR)
Genetic Algorithm(GA)
Sub-carriers weighting