Blind adaptive identification of FIR channel in chaotic communication systems

• 来源期刊: 中国物理（英文版）
• 关键词: chaotic communication blind identification LMS algorithm extended Kalman filtering
• 年，卷（期）: 2004,（3）
• 页码范围: 329-334
• 页数: 6页
• 语种: 英文

摘要

In this paper we study the problem of blind channel identification in chaotic communications. An adaptive algorithm is proposed, which exploits the boundness property of chaotic signals. Compared with the EKF-based approach, the proposed algorithm achieves a great complexity gain but at the expense of a slight accuracy degradation.However, our approach enjoys the important advantage that it does not require the a priori information such as nonlinearity of chaotic dynamics and the variances of measurement noise and the coefficient model noise. In addition,our approach is applicable to the ARMA system.