摘要
针对传统LS信道估计的性能受噪声影响较大的问题,提出一种基于自适应滤波的LS估计算法。该算法在时域采用不同宽度的滑动窗口,对信道能量集中区域的LS估计结果进行自适应滤波。通过仿真分析,将基于自适应滤波的LS算法与LS估计算法、MMSE估计算法在误符号率(SER)方面的性能进行比较,可以发现,基于自适应滤波的LS的信道估计算法是一种高精度、低复杂度的估计算法。
Considering that the traditional LS estimation in coherent OFDM system is easily affected by noise,an improved LS channel estimation based on adaptive filter is proposed.The proposed algorithm uses the sliding window of different width to get the energy focused region in the time domain on the basis of making use LS estimation algorithm to estimate the channel pass function adaptively.Simulation results indicate that the proposed algorithm obtains better estimated performance than the LS and MMSE estimation in Symbol Error Rate(SER).The LS channel estimation algorithm based on adaptive filtering has high precision and low complexity.
出处
《西安邮电学院学报》
2011年第2期1-3,共3页
Journal of Xi'an Institute of Posts and Telecommunications
基金
陕西省教育厅专项科研基金资助项目(2010JK815)