An Approach Based on Normalization Processing for Two-Dimensional Subarray Level ADBF

Abstract

Adaptive digital beamforming (ADBF) at subarray level has important applications in phased array radar systems. This paper studies two-dimensional ADBF methods at subarray level. We present the signal model of two-dimension ADBF at subarray level. Generalizing ADBF applied to one-dimension linear array to phased array at subarray level, we can obtain two-dimension ADBF at subarray level, but its limitation is that adaptive processing makes the SLL (sidelobe level) of the pattern increase remarkably. Therefore, we present two-dimensional ADBF at subarray level based on normalization. This method can obtain adaptive pattern the same as quiescent pattern for the case of absence of jammer and non-overlapped subarrays, while improve the SLL of the adaptive pattern remarkably in presence of jammers. Simulation results indicate the validity of the introduced method.