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Teager-Kaiser能量算子作为一种非线性滤波器可以有效提取特征,提高受噪声影响的信号识别。研究了Teager-Kaiser能量算子在信道估计多径搜索中的应用,该方法不要求对信道参数空间的先验知识。分析了Teager-Kaiser能量算子对经典Steiner信道估计器进行处理的特性,计算机仿真结果表明它可以在抑制噪声的同时,有效区分密集分布的多径。
As a nonlinear filter, Teager-Kaiser energy operator can effectively extract features and improve signal recognition affected by noise. The application of Teager-Kaiser energy operator in channel estimation multipath search is studied. This method does not require a priori knowledge of the channel parameter space. The characteristics of the classical Steiner channel estimator are analyzed by the Teager-Kaiser energy operator. The computer simulation results show that it can effectively distinguish the densely distributed multipath while suppressing the noise.