Newton-like minimum entropy equalization algorithm for APSK systems

作者：Ali Anum^*; Abrar Shafayat; Zerguine Azzedine; Nandi Asoke K

来源：Signal Processing, 2014, 101: 74-86.

DOI：10.1016/j.sigpro.2014.02.003

• Constant modulus algorithm
• Blind equalizer
• Recursive least squares algorithm
• Newton%26apos
• s method
• Tracking performance
• Amplitude phase shift keying

In this paper, we design and analyze a Newton-like blind equalization algorithm for the APSK system. Specifically, we exploit the principle of minimum entropy deconvolution and derive a blind equalization cost function for APSK signals and optimize it using Newton%26apos;s method. We study and evaluate the steady-state excess mean square error performance of the proposed algorithm using the concept of energy conservation. Numerical results depict a significant performance enhancement for the proposed scheme over well established blind equalization algorithms. Further, the analytical excess mean square error of the proposed algorithm is verified with computer simulations and is found to be in good conformation.

• 出版日期2014-8
• 单位中国石油大学（北京）