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

Volume

2

fYear

2002

fDate

3-6 Nov. 2002

Firstpage

1669

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7576-9

Type

conf

DOI

10.1109/ACSSC.2002.1197060

Filename

1197060