摘要
提出了一种基于代价函数实现短循环前缀正交频分复用(orthogonal frequency division multiple-xing,OFDM)信号参数融合估计与识别的算法。该算法同时利用OFDM信号循环前缀产生的自相关和循环自相关特性,同步估计有用符号时间和符号周期。首先对OFDM信号的循环自相关特性进行了深入的分析,然后构造了代价函数并讨论了时变衰落信道条件下引入循环频率的数目对代价函数的影响,最后通过计算机仿真,验证了算法的有效性。
A merging parameters estimation and identification algorithm for short cyclic prefix orthogonal frequency division multiplexing(OFDM) signals is presented based on cost function.Merging estimation of the useful symbol time and symbol duration for OFDM signals can be realized with the algorithm by using the autocorrelation and the cyclic autocorrelation simultaneously,which are generated by the cyclic prefix of OFDM signals.Firstly the characteristic of cyclic autocorrelation for OFDM signals is deeply analyzed.Then a cost function is constructed,and the effects of the cost function by introducing the number of the cycle frequency are discussed in the time-varying fading channels.Finally,the validity of the algorithm is proved by simulations.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2011年第7期1627-1632,共6页
Systems Engineering and Electronics
基金
国家自然科学基金(10776040)
重庆邮电大学青年基金(A2007-19)
重庆邮电大学移动通信技术重点实验室开放研究基金
重庆大学飞行器测控与通信教育部重点实验室访问学者基金资助课题
关键词
认知无线电
循环自相关函数
盲信号处理
正交频分复用
cognitive radio
cyclic autocorrelation function
blind signal processing
orthogonal frequency division multiplexing(OFDM)