摘要
压缩感知理论作为一种新的采样理论,因其采样少,恢复效果好等特点被学术界广泛关注。虽然传统的信道估计算法已经达到了非常不错的效果,但随着科技的发展,人们对信息传输速度和传输质量的需求不断增加,传统算法占用频带资源大、计算复杂度高等缺点就变得越发凸显。于是开始使用压缩感知理论进行信道估计。在使用压缩感知理论对多入多出正交频分复用(MIMO-OFDM)系统进行信道估计的过程中,提出一种导频的设计方法。最后,选定训练序列与几种既有的导频选择法相结合,通过仿真演示提出算法的效果,仿真结果表明提出的方法估计效果较好。
The compressed sensing theory as a new sampling theory has caught more attention due to it＇s less sampling and good restoration effect. The traditional channel estimation algorithm has achieved good effect, but with the development of science and technology, the demands of information transfer rate and transmission quality increase, its defects of large band- width resource occupation and high computation complexity become prominent. The compressed sensing theory is used to esti- mate the channel, A design method of pilot frequency in the process of channel estimation for MIMO-OFDM system with com- pressed sensing theory is proposed, The training sequence was selected and combined with the existing pilot frequency selection methods. The effect of the proposed algorithm is demonstrated by simulation. The simulation results show that the proposed method has perfect estimation effect.
出处
《现代电子技术》
北大核心
2016年第5期51-54,共4页
Modern Electronics Technique
