Identification and Equalization Algorithm for MIMO System Based on Higher Order Statistics
Yao Liang · Journal of Jilin University(Science Edition) · 2009
Based on the combination of higher order statistics that can identify non-minimum phase system with shift block method of blind separation(SHIBBS) algorithm which is good in separation and moderate amount of computation,an algorithm was proposed to identify the multi-input and multi-output(MIMO) system in frequency domain;but the received signals are uncertain in permutation,which is solved by means of cross fourth-order statistics and the signals are separated well.To the problem of scale ambiguity,the constant modulus algorithm employing the LMS self-adaptation is used in equalizing and compensating for the sorted signals.Simulations show that the proposed algorithm is feasible and practical.