DSSS时变窄带干扰抑制算法研究

Research on Time Variant NBI Suppression Algorithm for DSSS Communications

在传统非线性最小二乘(NLS)算法的基础上,提出一种基于线谱估计的直接序列扩频(DSSS)系统抑制窄带干扰(NBI)的方法。该算法首先通过对基于正弦波叠加模型的NBI进行频率估计,再利用最小二乘准则进行自适应滤波,恢复出干扰信号包络,从而利用干扰对消器将其从观测数据中消除。仿真验证表明,本算法相对于传统的最小均方误差(LMS)算法、自适应频域陷波法,能较好地抑制时变音频NBI模型的干扰,且信息量损失较小。

A narrowband interference suppression algorithm based on parametric line spectral estimation in direct sequence spread spectrum（DSSS） communication systems is proposed by exploiting nonlinear least-square used in traditional method. With this algorithm, the spectrum is estimated based on narrow band interference（NBI） of stacking sine wave model, and then nonlinear least square（NLS） adaptive filter with minimum least square criteria is used to resume envelop of interference signal and eliminate it from observation signals with Interference canceller. The simulation results show that the proposed algo-rithm has better performance on the suppression of NBI than conventional algorithms.