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LS信道估计算法运算量小,实现简单,但估计值对噪声影响敏感,算法精度低。为降低噪声对精度的影响,文章提出一种新的基于DFT的LS信道估计改进算法。该算法利用并行PN序列信号特性,通过时延点信息获取算法得到多径信道的时延点信息,并在改进的信道估计算法中利用此信息,最大程度地抑制噪声。仿真结果表明,与现有的基于DFT的LS改进算法相比,本算法可进一步提高估计精度,在低信噪比条件下性能更好。
The LS channel estimation algorithm has a small amount of operation and simple implementation, but the estimation value is sensitive to noise and the accuracy of the algorithm is low. In order to reduce the influence of noise on the accuracy, a new DFT-based LS channel estimation algorithm is proposed. This algorithm uses the characteristics of parallel PN sequence signals to obtain the delay point information of multipath channel through the algorithm of delay point information acquisition, and uses this information in the improved channel estimation algorithm to minimize the noise. Simulation results show that compared with the existing LS-based DFT-based algorithm, the proposed algorithm can further improve the estimation accuracy and achieve better performance under low signal-to-noise ratio.