Title :
EMVA-based blind maximum likelihood separation of cross-polar interference in dual polarized digital transmission
Author :
Nguyen, Hoang ; Levy, Bemard C.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
Abstract :
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.
Keywords :
blind equalisers; blind source separation; digital communication; interference suppression; intersymbol interference; maximum likelihood estimation; optimisation; signal detection; EMVA; ML separation; XPI; blind estimation algorithm; blind maximum likelihood separation; channel identification; cross-polar interference; digital communications; dual polarized digital transmission; dual polarized transmission; equalization; expectation maximization Viterbi algorithm; intersymbol interference channel; signal detection; system parameter estimation; Electromagnetic wave polarization; Hidden Markov models; Intersymbol interference; Magnetic field measurement; Magnetic sensors; Maximum likelihood detection; Maximum likelihood estimation; Sensor arrays; Signal processing; Transmitting antennas;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1197060
