Research of blind equalization algorithm based on fifth–second order normalized cumulant in complex system
Jianfu Teng
Abstract
Jianfu Teng
Abstract
According to the symmetric-antisymmetric transform principle, a fifth-second order normalized cumulant blind equalization algorithm was proposed. The algorithm overcame the disadvantage that the channel equalization was impossible for the symmetric signal because its odd order cumulant equaled to zero. The computer simulation shows that the convergence and the steady residual error of the algorithm are better than congener algorithms and its realization is simple.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
According to the symmetric-antisymmetric transform principle, a fifth-second order normalized cumulant blind equalization algorithm was proposed. The algorithm overcame the disadvantage that the channel equalization was impossible for the symmetric signal because its odd order cumulant equaled to zero. The computer simulation shows that the convergence and the steady residual error of the algorithm are better than congener algorithms and its realization is simple.
Key concepts: Blind equalization, Antisymmetric relation, Cumulant, Residual, Algorithm, Convergence (economics), Equalization (audio), Realization (probability)