On correspondence between training-based and semiblind second-order adaptive techniques for mitigation of synchronous CCI

Author

Abramovich, Yuri I. ; Kuzminskiy, Alexandr M.

Author_Institution

Intelligence Surveillance & Reconnaissance Div., Defence Sci. & Technol. Organ., Edinburg, SA, Australia

Volume

54

Issue

6

fYear

2006

fDate

6/1/2006 12:00:00 AM

Firstpage

2347

Lastpage

2351

Abstract

The synchronous interference cancellation problem is addressed when training and working intervals are available that contain the desired signal and completely overlapping interference. A maximum-likelihood (ML) approach is applied for estimation of the structured covariance matrices over both training and working intervals for a Gaussian data model. It is shown that the efficiency of the ML solution is close to the efficiency of the least-squares (LS) estimator, which means that the conventional training-based LS algorithm practically cannot be improved upon in the class of second-order semiblind techniques under the synchronous interference scenario.

Keywords

Gaussian processes; cochannel interference; covariance matrices; interference suppression; least squares approximations; maximum likelihood estimation; CCI; Gaussian data model; cochannel interference; covariance matrices; least-squares estimator; maximum-likelihood approach; semiblind-order adaptive techniques; synchronous interference cancellation problem; training-based algorithm; Covariance matrix; Data models; GSM; Interference cancellation; Iterative algorithms; Maximum likelihood estimation; Radiofrequency interference; Signal processing algorithms; Training data; Wireless communication; Least-squares algorithm; maximum-likelihood estimation; second-order semiblind interference cancellation; training and working intervals;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2006.874374

Filename

1634827