A Low Complexity Channel Estimation Algorithm for LTE Uplink
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摘要:
:提出了一种适用于3GPP 长期演进(Long Term Evolution, LTE)系统上行链路的信道估计算法。为了降低抑制噪声过程中信道能量的损失,该算法对最小二乘(Least Square, LS)算法的时域结果采用从中间向两端搜索的方式进行能量检测。仿真结果表明,该算法与LS 算法、传统的基于DFT 的估计算法、线性最小均方误差(Linear Minimum Mean Square Error, LMMSE)算法及负指数LMMSE 算法相比,性能良好,且易于实现,具有很好的实用性。
Abstract:
This paper proposed a channel estimation algorithm for 3GPP Long Term Evolution (LTE) uplink. In order to reduce the loss of channel energy in the noise suppression process, the proposed algorithm detected the energy for the time-domain result of the Least Square (LS) algorithm by the method of searching from the middle to both sides. Simulation shows that, comparing to the LS algorithm, the traditional DFT based channel estimation algorithm, the Linear Minimum Mean Square Error (LMMSE) algorithm and negative-exponential LMMSE algorithm, the proposed algorithm has good performances and is prone to implement, which has strong practicability.