A constrained adaptive equalization algorithm

• Published in: 2004 IEEE 60th Vehicular Technology Conference Vol. 5; pp. 3758 - 3762 Vol. 5
• Main Authors: He Zhongqiu, Daoben Li, Sun Xiaojun
• Format: Conference Proceeding
• Language: English
• Published: Piscataway, New Jersey IEEE 2004
• Subjects: Adaptive algorithm; Adaptive arrays; Adaptive equalizers; Adaptive filters; Applied sciences; Constraint optimization; Cost function; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Information, signal and communications theory; Least squares approximation; Mean square error methods; Sensor arrays; Signal and communications theory; Signal processing algorithms; Signal, noise; Telecommunications and information theory; Performance evaluation; Adaptive algorithm; Adaptive equalizers; Cost function; Equalization; Implementation; Mean square error; Least mean squares methods
• ISBN: 0780385217; 9780780385214
• ISSN: 1090-3038
• DOI: 10.1109/VETECF.2004.1404768

In this paper, we propose a constrained least mean square error cost function, which is subject to a quadratic function. It is not different from all of the previous ones, such as in (Daoben Li., Beijing Uni. of Posts and Telecom. Press, p.258-266, 1995), for equalization. The implementation algorithm is a derivative of the previous one for this constrained criterion. A performance comparison is shown between the constrained and unconstrained algorithm.