Adaptive Anti-Jamming Beamforming Algorithms for Various Jamming Scenarios

Abstract

In wireless communication, a receiver may not be able to communicate successfully due to various reasons. The jamming signal is the typical physical layer radio attack, and anti-jamming technology has been proposed to avoid the jamming signal. If the receiver uses an antenna array consisting of multiple antennas, it is possible to suppress the jamming signal and receive the signal from the desired transmitter by nulling the direction of the jamming signal using the anti-jamming beamforming technique.

The minimum variance distortionless response (MVDR) beamforming algorithm has been proposed as the most representative anti-jamming beamforming technique. has two well-known problems. However, there are two well-known problems in the MVDR beamforming algorithm. Therefore, there are situations in which the anti-jamming performance is degraded. In this paper, we classify scenarios in which performance degradation occurs due to problems with the MVDR beamforming algorithm. Afterwards, we set up a signal model for each scenario and present an advanced algorithm that can cope with the scenarios. In addition, simulations are conducted to show that each algorithm can properly cope with the scenario and prevent performance degradation.