一种可快速收敛的航空信道估计算法

Fast Convergence Algorithm for Aeronautic Channel Estimation

通过对航空信道的分析指出其稀疏信道特征,使用普通算法对此信道进行信道估计会引入高阶自适应计算,为降低实现难度,提出一种"联合非零抽头检测与信道估计"(joint non-zero tap detection and channel estimation)方法,该方法主要由文中非零抽头检测算法与递归最小二乘算法组成,并建模比较了非零抽头检测算法中参数选取对性能的影响,最后针对具体应用给出本文算法的性能仿真结果,证明了此算法可避免高阶自适应计算,节约了大量权值可忽略抽头所引入的资源占用和计算量,可更好跟踪变化的信道.

By analyzing the aeronautic channel, it is known the channel has the ability of sparseness. Using the common channel estimation will bring out high-order adaptive signal process. To relieve the difficulty of realization, this paper described a new algorithm （joint non-zero tap detection and channel estimation） on channel estimation. The algorithm mostly is composed with non-zero tap detection algorithm and RLS algorithm. Next, by developing a math model it was test there is huge influence of parameter on performance and showed how to get a optimal parameter. Finally, the simulation of new algorithm declared here was given, which proved less resource and calculation is used. So the algorithm can trace channel variations better.