Abstract: 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.

Key words: frequency domain, MIMO system, higher order statistics, identification and equalization