Improved Channel Estimation for MIMO Interference Cancellation

Author

Meng Chuan Mah ; Heng Siong Lim ; Tan, Alan Wee Chiat

Author_Institution

Fac. of Eng. & Technol., Multimedia Univ., Ayer Keroh, Malaysia

Volume

19

Issue

8

fYear

2015

fDate

Aug. 2015

Firstpage

1355

Lastpage

1357

Abstract

In this letter, a jamming resilient communication technique for unmanned aircraft vehicle (UAV) is proposed. Multiple-input multiple-output (MIMO) interference cancellation is exploited to combat reactive jamming. An improved channel estimation algorithm based on Kalman filter and basis expansion model (BEM) is used to track the quick changes of the combined channel components. Simulation results show that the performance of the proposed technique is significantly better than the existing jamming resilient communication technique.

Keywords

Kalman filters; MIMO communication; aircraft communication; autonomous aerial vehicles; channel estimation; interference suppression; jamming; Kalman filter; MIMO interference cancellation; basis expansion model; channel estimation; jamming resilient communication; multiple input multiple output system; reactive jamming; unmanned aircraft vehicle; Channel estimation; Interference cancellation; Jamming; Kalman filters; MIMO; OFDM; Signal to noise ratio; Anti-jamming; Kalman filter; basis expansion model; multiple-input-multiple-output; orthogonal frequency-division multiplexing; orthogonal frequencydivision multiplexing;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2015.2440240

Filename

7117371