Dynamic mainlobe interference suppression method based on monopulse with gray model Kalman filter

Abstract

The architecture and processing algorithm of mainlobe interference suppression method is described for nulling the signal from mainlobe electronic jammer and multiple sidelobe electronic jammers while maintaining monopulse angle estimation accuracy on the target. The existing mainlobe interference suppression method is based on monopulse Wiener filtering. However, the Wiener filtering is more suitable to remove static interference. Therefore, the authors present the dynamic mainlobe interference suppression method with Gray Model Kalman filter to resolve this problem. The simulations verify the proposed method.

Keywords

• array signal processing
• jamming
• adaptive signal processing
• wiener filters
• interference suppression
• radar signal processing
• adaptive antenna arrays
• kalman filters
• multiple sidelobe electronic jammers
• monopulse angle estimation accuracy
• existing mainlobe interference suppression method
• monopulse wiener filtering
• static interference
• dynamic mainlobe interference suppression method
• gray model kalman filter
• gray model kalman filter
• architecture
• processing algorithm
• mainlobe electronic jammer