Binormalized Data-reuse Blind Equalization Algorithm Based on Set-membership Filtering
Feng Liu · Jisuanji gongcheng · 2008
Data-reuse can accelerate the convergence rate of the blind equalization algorithm,while it also brings about the problem of noise magnifying.A novel blind equalization algorithm with fast convergence rate is presented by applying data-reuse to the modified constant modulus algorithm that processes the real and imaginary parts of received signal separately,and the set-membership filtering is adopted to solve the problem of noise magnifying caused by data-reusing.Simulations show that the new blind equalization algorithm is of fast convergence,thus is suitable for short burst signal processing.