Weak harmonic signal detection method in chaotic interference based on extended Kalman filter
Publication date: Available online 14 November 2018
Source: Digital Communications and Networks
Author(s): Chengye Lu, Sheng Wu, Chunxiao Jiang, Jinfeng Hu
The traditional detection methods of weak harmonic signal under strong chaotic interference always suffer from high computational complexity and poor performance. In this paper, an extended Kalman filter (EKF) based detection method is proposed for weak harmonic signal. The EKF method avoids matrix inversion by iterating measurement equation and state equation, which improves the robustness and reduces the complexity. Compared with the existing detection methods, the proposed method has the following advantages: 1) this method has better performance than the neural network method; 2) this method has similar performance with the optimal filtering method, but the computational complexity is low; 3) compared with the optimal filtering method, the proposed method is more robust.