Due to the fast beam-steering and adaptive interference suppression performance, adaptive digital beamforming (ADBF)
technique is widely used in the multi-antenna radar systems, such as phased array radar and MIMO radar, which are
important measurements of space target surveillance system. However, the use of adaptive digital beamforming
techniques in multiple beamforming (MBF) system is restricted by the computational requirement as the number of beam
increases, especially in the spaced-based system. A fast MBF algorithm is presented in this paper. The algorithm
rearranges the process of beamforming, which reduces the computational complexity by the utilization of FFT and the
fast chirp z-transform (CZT) method while remaining the same performance of conventional methods. The
computational cost analysis and simulation results show that the algorithm needs less computational requirement than
that of direct approach without harming the adaptive interference suppression performance.
|