PAPR estimation algorithm for continuous OFDM signal based on polynomial solving

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (32): 141-143.

• 数据库、信号与信息处理 • Previous Articles Next Articles

PAPR estimation algorithm for continuous OFDM signal based on polynomial solving

LI Kewei1，XIE Wei1，XU Zhengxi1，XU Zhengguang2

1.Wuhan Second Ship Design and Research Institute，Wuhan 430064，China
2.Department of Electronics and Information Engineering，Huazhong University of Science and Technology，Wuhan 430074，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-11-11 Published:2011-11-11

多项式求解的OFDM连续信号的峰均比估计算法

李可维1，谢炜1，徐正喜1，徐争光2

1.武汉第二船舶设计研究所，武汉 430064
2.华中科技大学电子与信息工程系，武汉 430074

Abstract

Abstract: For estimating the Peak-to-Average Power Ratio（PAPR） of OFDM signals，over-sampling of the discrete signals is used to approximate a continuous signal and the PAPR of the discrete signals is exploited to approximate the continuous one.Based on the basic over-sampling formula，the approximation performance of continuous signals is shown between the zeros padding in the end of IFFT algorithm and the zeros padding in the middle of IFFT algorithm.?Meanwhile，a new estimation algorithm for continuous signal PAPR is presented to solve the nonlinear equations into a polynomial equation.?Simulation results prove that this new estimation method is accurate and effective.

Key words: Peak-to-Average Power Ratio（PAPR） estimation, over-sampling, zeros padding Fast Fourier Transform（FFT）

摘要： 在OFDM信号中峰均比估计问题中，通常采用过采样的离散信号来逼近连续信号，用离散信号的峰均比来近似连续信号的峰均比。在基本过采样公式的基础上，研究了末尾补零的IFFT和中间补零的IFFT两种常用的插值过采样算法的数学关系，比较了这两种方法对于连续信号的逼近性能。同时为得到更精确的PAPR值，通过将非线性方程的求根转化为多项式方程求解，设计一种直接针对连续信号高效峰均比估计算法。仿真结果表明，这种新的估计算法是精确而有效的。

关键词: 峰均比估计, 过采样, 补零快速傅里叶变换（FFT）

LI Kewei1，XIE Wei1，XU Zhengxi1，XU Zhengguang2.

PAPR estimation algorithm for continuous OFDM signal based on polynomial solving

[J]. Computer Engineering and Applications, 2011, 47(32): 141-143.

李可维1，谢炜1，徐正喜1，徐争光2. 多项式求解的OFDM连续信号的峰均比估计算法[J]. 计算机工程与应用, 2011, 47(32): 141-143.

[1]	CHEN Junfeng, ZHENG Zhongtuan. Over-Sampling Method on Imbalanced Data Based on WKMeans and SMOTE [J]. Computer Engineering and Applications, 2021, 57(23): 106-112.
[2]	WANG Le, HAN Meng, LI Xiaojuan, ZHANG Ni, CHENG Haodong. Review of Classification Methods for Unbalanced Data Sets [J]. Computer Engineering and Applications, 2021, 57(22): 42-52.
[3]	ZHANG Zhonglin, FENG Yibang, ZHAO Zhongkai. Oversampling Method for Unbalanced Data Sets Based on SVM [J]. Computer Engineering and Applications, 2020, 56(23): 220-228.
[4]	WANG Liang, YE Jimin. Hybrid Algorithm of DBSCAN and Improved SMOTE for Oversampling [J]. Computer Engineering and Applications, 2020, 56(18): 111-118.
[5]	LUO Kangyang, WANG Guoqiang. Research on Imbalanced Data Classification Based on L-SMOTE and SVM [J]. Computer Engineering and Applications, 2019, 55(17): 55-62.
[6]	WU Lei1, FANG Bin1, DIAO Liping2, CHEN Jing1, XIE Nana1. Imbalanced data resampling based on oversampling and under-sampling [J]. Computer Engineering and Applications, 2013, 49(21): 172-176.
[7]	WANG Chaoxue1, PAN Zhengmao1, DONG Lili1, MA Chunsen2, ZHANG Xing1. Research on classification for imbalanced dataset based on improved SMOTE [J]. Computer Engineering and Applications, 2013, 49(2): 184-187.
[8]	SUN Xiaoyan，ZHANG Huaxiang，JI Hua. Improved KNN algorithm in classification of imbalanced data sets [J]. Computer Engineering and Applications, 2011, 47(28): 143-145.
[9]	JIAN Tao，LI Hong，GUO Yuejian. Imbalance classification combining cost-sensitive and majority class decomposition [J]. Computer Engineering and Applications, 2011, 47(1): 150-153.
[10]	LI Ming-fang，ZHANG Hua-xiang. Improving Bagging algorithm for imbalance data [J]. Computer Engineering and Applications, 2010, 46(30): 40-42.

PAPR estimation algorithm for continuous OFDM signal based on polynomial solving

多项式求解的OFDM连续信号的峰均比估计算法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 10

Recommended Articles

Metrics