【摘要】 为了提高对不同窄带干扰的抑制效果,提出一种利用Householder正交分解的QRD-LMS的自适应非线性干扰抑制算法.由于利用了正交分解以及阶数递推结构,使得自适应算法计算复杂度低,与传统LMS算法计算量相当。同时算法具有较小的条件数并且可以取较大的步长,使其稳健性以及跟踪性能明显优于LMS。将窄带干扰建模为多频、自回归过程以及数字窄带信号。仿真结果表明,方法在不同信噪比下,其干扰抑制效果要明显好于归一化LMS算法以及RLS算法。更多还原

【Abstract】 The performance of antijamming of the DSSS can be greatly improved by interference suppression algorithms.In order to improve the performance of antijamming for various interferences,an adaptive nonlinear algorithm was developed based on QRD-LMS,which had an order-recursive structure and low conditional number.The computation complexity is ο(N),which is on the same order of the conventional LMS,but its robustness and tracking performance are remarkably better than that of LMS algorithm.The narrowband interferences were modeled as multitone,AR process and digital signal.Simulation results show that under different SNRs,the proposed algorithm outperforms greatly in interference suppression over NLMS and RLS algorithms.更多还原