一种改进型KB-RLS算法在自干扰对消中的工程应用

Engineering Application of An Improved KB-RLS Algorithm to Self-interference Cancellation

在自适应自干扰对消的过程中,结合实际的工程应用需求(收敛精度高、收敛速度快、算法复杂度低),提出了一种改进型保持平衡-递推最小二乘法(KB-RLS)算法,并进行了相应的硬件架构搭建。在此架构上,抓取了实际电磁环境中的信号进行仿真测试,并将改进型算法和已有的经典RLS算法进行对比。结果表明,该算法在工程应用中,对实际环境下的复杂电磁信号,能获得更好的对消效果。

In the process of self-interference and self-adaptive cancellation,this paper proposes an improved keep-balance recursive least square(KB-RLS)algorithm based on the practical engineering application requirements of high convergence accuracy,fast convergence speed and low algorithm complexity,and builts the corresponding hardware architecture,based on this architecture,performs simulation test by capturing the signals in the actual electromagnetic environment,and compares the cancellation results of the improved algorithm with that of the existing classical RLS algorithm.The results show that the algorithm can obtain better cancellation effect for complex electromagnetic signals in the actual environment.