Title :
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
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;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2015.2440240