作 者: ;
机构地区: 惠州学院电子科学系
出 处: 《井冈山大学学报(自然科学版)》 2008年第1期47-49,共2页
摘 要: 本文介绍了正交频分复用(OFDM)系统中两类常用的信道估计算法:最小二乘(LS)和最小均方误差(MMSE)。在广义平稳的多径时变瑞利衰落信道模型下,利用MATLAB程序仿真实现了LS、MMSE以及简化的MMSE信道估计,得出了均方误差(MSE)和误符号率(SER)随信噪比(SNR)变化的曲线。仿真结果表明,MMSE算法的效果要优于LS,简化MMSE算法的运算复杂度介于LS和MMSE之间,且估计精度接近MMSE算法。 The paper introduces two common channel estimation algorithms for orthogonal frequency division multiplexing(OFDM) systems: least square(LS) and minimum mean square error(MMSE).It simulates LS、MMSE and simplified MMSE channel estimations by MATLAB in the time-varing multipath Rayleigh-fading model,and compares their performance accoding to mean square error(MSE) and symbol error rate(SER).The result shows that MMSE estimation is better than LS,and simplified MMSE is a method for compromising between complexity and performance.