随着无线通信的发展, 小区密度与频谱利用率不断增加, 高频率复用度使得处于小区边缘的用户受到严重的来自邻小区的同频干扰。提出一种长期演进(LTE)多小区干扰环境下的信道估计算法, 当服务小区与强干扰小区使用相同的导频位置, 且两小区之间存在时偏与频偏时, 联合估计服务小区与干扰小区的信道频域响应(CFR)；根据导频位置、导频序列、时偏和频偏大小信息建模, 通过求解方程组得到服务小区与强干扰小区的信道时域响应(CTR), 对服务小区与强干扰小区CTR分别进行傅里叶变换得到CFR。仿真结果表明, 在服务小区信干噪比(SINR)较小时, 与传统信道估计算法相比, 所提方法在归一化均方误差(NMSE)、误比特率(BER)性能上均有明显提升。

With the development of wireless communication, the cell density, spectral efficiency and communication quality have increased. Nevertheless, the users of a cell edge suffer a lot from co-frequency interference by adjacent cells due to high frequency reuse rate. A channel estimation method is proposed under Long Term Evolution(LTE) multi-cell systems. The proposed method can jointly estimate the Channel Frequency Response(CFR) of the serving cell and the strong interference cell, when both cells share the same pilot positions and there exist time offset and frequency offset. In the proposed method, a model is presented for the received signals with pilot positions, sequences, time and frequency offsets, then the Channel Time Response(CTR) is jointly estimated by solving the equations, and finally the estimated CFR is obtained by using the Fourier transform. The simulation results show that, compared with the conventional method, the proposed method can significantly improve the Bit Error Rate(BER) and the Normalized Mean Square Error(NMSE) performance, especially when Signal to Interference plus Noise Ratio(SINR) is small.