Fast blind equalization algorithm based on PSP

The usage of conventional blind equalization algorithm is limited in the application of burst signal communication due to its dissatisfaction of fast equalization. Per-survivor processing (PSP) exhibits good performance of channel-tracking and solves the problem of decision delay, but it increases the computational complexity. In this paper, PSP is applied to realize the fast tracking of the channel parameter and the coefficients of the linear equalizer are obtained by combining the inverse non-minimum phase with FIR approximation methods. Then this algorithm may be switched over to DD-LMS to achieve fast blind equalization. Simulation results indicate that the algorithm is valid for the application of blind equalization in burst signal communication.