中文摘要：

针对卫星移动信道的特点,结合正交频分复用（Orthogonal Frequency Division Multiplexing,OFDM）技术,在卫星移动信道模型基础上分析并讨论了三种典型的信道估计算法,即最小二乘（Least-Square,LS）估计算法、最小均方误差（Minimum Mean Square Error,MMSE）估计算法和奇异值分解（Singular Value Decomposition,SVD）算法。采用经典的抽头延迟线模型,对各算法进行仿真试验,得出不同算法下信道估计误比特曲线。理论分析和仿真实验表明,三种算法均能够有效地抑制卫星移动信道衰落产生的误码率,其中SVD-MMSE算法能够在降低MMSE算法复杂度的基础上,抑制噪声,提高信道估计精度。

英文摘要：

Aiming at the characteristics of the mobile satellite channel, combined with OFDM technology, analyze and discuss three typical channel estimation algorithm based on the mobile satellite channel model, namely Least Squares （ LS ）, Minimum Mean Square Error （MMSE） channel estimation algorithm and simplified Singular Value Decomposition （SVD） channel estimation algorithm. Use the classical tapped delay line model for simulation of all algorithms, obtaining the bit error curve under different channel estimation algorithms. As theoretical and simulation results proved that, the three algorithms are able to effectively suppress the BER of the mobile satellite channel fading, among which SVD-MMSE algorithm has more advantage, it can reduce the complexity of MMSE algorithm and at the same time improve the channel estimation accuracy.