一种基于模糊系统的信道估计新方法

New channel estimation method based on fuzzy system

信道估计是数字移动通信中的一个重要问题。S.Abeta等人提出了一种加权多时隙平均法 (WMSA) ,改善了信号传输的性能。这里提出了一种新颖的信道估计方法 ,即基于模糊系统的半盲信道估计方法 ,利用模糊系统建立数据信道模型 ,利用自适应最小均方 (L MS)方法估计模糊系统的参数。由于模糊系统良好的函数逼近性质 ,该方法可以较好地估计数据信道。计算机仿真实验表明 ,该方法对不同移动速度下的信道都可以得到比较准确的估计 ,与 WMSA方法相比 ,克服了在移动速度增加时会发生信道估计急剧恶化的现象。

Channel estimation is one of the most important parts in digital mobile communications. Abeta et al proposed the weighted multi slot averaging (WMSA) channel estimation method to improve transmission performance. Many studies have shown that fuzzy systems are very useful for function approximation problems. Therefore new channel estimation method based on fuzzy systems was suggested to further improve the tracking performance against fast fading. The fuzzy modeling technique was utilized to estimate the data channel, with the least mean square (LMS) algorithm applied to adaptively estimate the parameters. Since fuzzy systems are very useful for function approximation, our method is superior to the WMSA channel estimation method in BER performance for variant velocities.