一种改进型KB-RLS算法在自适应干扰对消中的仿真分析

Simulation Analysis of an Improved KB-RLS Algorithmin Adaptive Interference Cancellation

针对目前电子一体化平台收发系统间强自干扰在数字域的抑制问题,讨论了目前已有解决方案的可行性。同时基于经典递归最小二乘法(RLS)算法,将收敛因子改为关于误差的函数,提高了算法的精度;此外,在自相关矩阵的迭代过程中添加了自干扰项。仿真结果表明,该算法针对信噪比20 dB的100 MHz带宽的线性调频(LFM)信号,能取得23.03 dB的对消效果,相比经典RLS算法,该方法能更好地兼顾实际需求中收敛速度、收敛精度与算法适应性等要求。

Aiming at the suppression of strong self-interference between transceiver systems of electronic integrated platform in digital domain,this paper discusses the feasibility of existing solutions,and changes the convergence factor into a function about the error based on classic recursive least square(RLS)algorithm to improve the algorithm accuracy,in addition,adds the self-interference term in the iterative process of self-correlation matrix.The simulation results show that the proposed algorithm can achieve 23.03 dB cancellation results for 100 MHz bandwidth linear frequency modulation(LFM)signal with signal-to-noise ratio(SNR)of 20 dB.Compared with the classical RLS algorithm,the proposed algorithm can better take into account the actual requirements of convergence speed,convergence accuracy and algorithm adaptability,etc..