Constrained Kalman filter based interference suppression in phased arrays

Author

Omgond, P. ; Singh, Hema

Author_Institution

Centre for Electromagn., Nat. Aerosp. Labs., Bangalore, India

fYear

2014

fDate

15-17 Dec. 2014

Firstpage

286

Lastpage

289

Abstract

The constrained Kaiman filter-based adaptive algorithm has fast convergence and robustness towards direction-of-arrival (DOA) mismatch. This motivates its usage for interference suppression in phased arrays. The constraints related to high gain towards the desired source and minimum mean square error are imposed in the weight adaptation. The objective is to steer the mainbeam towards the desired direction and simultaneously nullify the interfering sources impinging the array from different directions. It is shown that the output SINR of the algorithm is higher than the well-known gradient-based improved LMS algorithm.

Keywords

Kalman filters; antenna phased arrays; direction-of-arrival estimation; interference suppression; mean square error methods; constrained Kaiman filter-based adaptive algorithm; constrained Kalman filter based interference suppression; direction-of-arrival mismatch; gradient-based improved LMS algorithm; minimum mean square error; phased antenna arrays; weight adaptation; Adaptive algorithms; Array signal processing; Interference; Kalman filters; Signal to noise ratio; Vectors; Adaptive array processing; constrained Kalman filter; conventional Kalman filter; mean square error; output SINR;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave and RF Conference (IMaRC), 2014 IEEE International

Conference_Location

Bangalore

Type

conf

DOI

10.1109/IMaRC.2014.7039029

Filename

7039029