EMVA-based blind maximum likelihood separation of cross-polar interference in dual polarized digital transmission

In this paper we use the expectation maximization Viterbi algorithm (EMVA) to perform maximum likelihood (ML) separation of cross-polar interference and equalization of intersymbol interference channel. Cross-polar interference (XPI) is an undesired phenomenon occurring in systems that use dual polarized transmission methods. The EMVA is a blind estimation algorithm which has numerous applications including channel identification, system parameter estimation, and signal detection encountered in digital communications.