最速下降法在半盲信道估计中的应用

An application of steepest descent approach to SIMO FIR semi-blind channel estimation

信道估计是无线通信中的基本问题.介绍了一种适用于静态多径信道的参数建模的半盲信道估计方法.该方法根据SRM准则推导出代价函数,而后又分两步求解:首先通过线性搜索定位粗略的估计值,再用最速下降法改善估计精度.计算机仿真表明,建议的最速下降法所需迭代次数少于高斯牛顿法,且显著减少计算量,缩短运行时间.

Channel estimation is a fundamental concern in wireless communication. An improved semiblind channel estimation method using parametric multipath channel modeling is proposed, which is applied to static multipath channel. This method derives cost function based upon sub-channel response matching （SRM） criterion. To begin with, a global minimum is located through linear searches and is regarded as an initial estimated vector. Secondly, Steepest Descent Approach （SDA） is exploited to refine the initial estimated one. Computer simulations show that the proposed SDA is superior to Gauss-Newton （G-N） method.