Adaptive filtering algorithms with quatratized cost function for Linearly Constrained arrays

Author

Djigan, Victor I.

Author_Institution

Russian Res. Center, Moscow, Russia

fYear

2013

fDate

16-20 Sept. 2013

Firstpage

214

Lastpage

216

Abstract

This paper considers peculiarities of adaptive filtering algorithms for arrays based on the Linearly Constrained quadratic and multi-extreme Constant Modulus cost functions minimization. The results of using the Linearly Constrained quadratized Constant Modulus cost function in the complex-valued LMS and RLS algorithms for the adaptive arrays are presented. The algorithms efficiency is compared to that of the real-valued arithmetic versions of the considered algorithms.

Keywords

adaptive filters; antenna arrays; least mean squares methods; adaptive arrays; adaptive filtering algorithms; complex-valued LMS algorithms; complex-valued RLS algorithms; cost functions minimization; linearly constrained arrays; multiextreme constant modulus; quatratized cost function; Adaptive arrays; Adaptive filters; Algorithm design and analysis; Array signal processing; Cost function; Signal processing algorithms; Vectors; Adaptive arrays; Constant Modulus; Least Mean Square; Linear Constraints; Recursive Least Mean Squares; blind adaptive filtering algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Antenna Theory and Techniques (ICATT), 2013 IX International Conference on

Conference_Location

Odessa

Print_ISBN

978-1-4799-2896-5

Type

conf

DOI

10.1109/ICATT.2013.6650729

Filename

6650729