摘要
针对传统协作通信系统信息估计算法存在的不足,利用最小二乘算法和离散傅里叶变换算法的优点,提出一种改进离散傅里叶变换的信道估计算法。首先利用最小二乘算法估计出整体信道频域响应,然后利用离散傅里叶变换算法消除循环前缀长度外的噪声,并根据噪声方差设置一个阈值门限进一步消除循环前缀长度内的噪声,仿真结果表明,改进离散傅里叶变换算法的估计性能比传统离散傅里叶变换信道估计算法更优,具有很好的实用价值。
Aiming at the deficiency of traditional channel estimation algorithm in cooperative communication system,making use of the advantage of the least squares algorithm and the discrete Fourier transform algorithm,a Channel Estimation of Cooperative Communication System Based on Improved Discrete Fourier Transform is proposed. First of all,the least square algorithm is used to estimate the whole channel frequency response,and then the discrete Fourier transform algorithm is used to eliminate the noise outside of the cyclic prefix length,and according to the noise variance is set a threshold to further eliminate the noise within the cyclic prefix length. The simulation results show that estimation performance of he improved discrete Fourier transform algorithm is better than t than the traditional he improved discrete Fourier transform algorithm and has the very good practical value.
出处
《激光杂志》
CAS
北大核心
2015年第2期96-99,共4页
Laser Journal
基金
西藏大学青年科研培育基金项目(ZDPJZK201402)
关键词
协作通信系统
正交频分复用
信道估计
离散傅里叶变换
cooperative communication system
orthogonal frequency division multiplexing
channel estimation
Discrete Fourier Transform
