摘要
基于3GPP长期演进(LTE)下行链路系统,在比较了现有几种不同信道估计算法的基础上,提出了一种适用于LTE下行系统的时频二维联合维纳迭代滤波信道估计算法。具体步骤如下:首先,采用基于奇异值分解(SVD)的线性最小均方误差(LMMSE)算法在频域进行维纳迭代滤波;然后,再利用频域估计出来的值在时域进行一次维纳迭代滤波。仿真结果表明,该算法能够有效地改善信道估计的误比特率(BER)性能,与传统的方法相比,性能更加接近于理想信道估计,同时也没有显著增加算法的运算复杂度。
A joint time-frequency two-dimensional iterative Wiener filter channel estimation algorithm based on the comparison of several existing different channel estimation algorithms for 3GPP LTE downlink system is proposed.In this scheme,the linear minimum mean square error（LMMSE） algorithm based on the singular value decomposition（SVD） method is first employed for the iterative Wiener filter in frequency domain,and then the values obtained from the first filtering in frequency domain are used to achieve the second iterative Wiener filter in time domain.The simulation results indicate that the proposed algorithm could effectively reduce BER performance of the channel estimation,which is even much closer to the ideal channel estimation as compared with the conventional algorithms,and could not significantly increase the computational complexity.
出处
《通信技术》
2011年第2期108-111,共4页
Communications Technology
