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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。
Based on 3GPP Long Term Evolution (LTE) downlink system, based on the comparison of several existing channel estimation algorithms, a time-frequency two-dimensional joint Wiener iterative filtering channel estimation algorithm for LTE downlink system is proposed. The specific steps are as follows: Firstly, Wiener iterative filtering is performed in the frequency domain based on the linear least mean square error (LMMSE) algorithm of singular value decomposition (SVD); then, the Wiener Iterative filtering. The simulation results show that the proposed algorithm can effectively improve the bit error rate (BER) performance of channel estimation. Compared with the traditional method, the proposed algorithm is closer to the ideal channel estimation, and does not significantly increase the computational complexity of the algorithm.