Phase noise compensation for dually-polarized systems with independent transmission streams

In this paper, an innovative Minimum Mean Square Error (MMSE)-based iterative synchronization algorithm is devised for a dually-polarized wireless link, affected by phase noise and Cross-Polarization Interference (XPI), with independent transmission streams over the two polarizations. A novel perpolarization soft decision-directed iterative receiver with separate A Posteriori Probability (APP)-based synchronization and decoding is proposed. The key idea of the proposed synchronization algorithm relies on an MMSE-based (master-slave) phase estimation followed by cancellation of the XPI on the polarization of interest. An attractive feature of the proposed approach is that it requires no statistical knowledge of the phase noise process. The performance of the proposed iterative receiver is investigated with a pilot symbol-assisted Low-Density Parity-Check (LDPC)-coded Quadrature Amplitude Modulation (QAM) scheme.