Movingmainlobe jamming suppression method based on Gray Model Kalman Filter

The proportional coefficient estimation of channel cancellation technology in the existing mainlobe jamming suppression method which based on sum and difference beamforming normally use Wiener filtering. However,the Wiener filtering only apply to stationary stochastic signal while jamming is static. It is failure in nonstationary stochastic signal while jamming is moving. Therefore,we present the moving mainlobe jamming suppression method based on Gray Model Kalman Filter. Which can predict the proportional coefficient of channel cancellation and emit moving mainlobe jamming effectively.