Weak harmonic signal detection method in chaotic interference based on extended Kalman filter

• 作者: Chengye Lu Chunxiao Jiang Jinfeng Hu Sheng Wu
• 来源期刊: 数字通信与网络:英文版
• 学科: 工学
• 关键词: Extended KALMAN filter STRONG CHAOTIC INTERFERENCE WEAK HARMONIC signal
• 年，卷（期）: 2019,（1）
• 页码范围: 51-55
• 页数: 5页
• 分类号: TN

摘要

The traditional methods of weak harmonic signal detection under strong chaotic interference often suffer from high computational complexity and poor performance. In this paper, an Extended Kalman Filter (EKF) based detection method is proposed for the detection of weak harmonic signal. The EKF method avoids matrix inversion by iterating measurement equation and state equation, which simultaneously improves the robustness and reduces the complexity. Compared with the existing detection methods, the proposed method has the following advantages: 1) it has better performance than the neural network method;2) it has similar performance with the optimal filtering method, but with lower computational complexity;3) it is more robust compared with the optimal filtering method.