Research on employment of adaptive beamformer based on weight iterative algorithm in suppressing radio frequency interferences

By comparing the disadvantages and advantages of conventional algorithms of adaptive beamformer, we put forward an adaptive beamformer based on weight iterative algorithm for suppressing radio frequency interference (RFI), according to the distributing properties of RFI in different range cell. We get the initial weight vector of the adaptive beamformer by utilizing the algorithm of minimum variance distortionless response (MVDR). The other weight vectors are computed by the algorithm of linearly constrained minimum variance (LCMV) based on the last time weight vector. The covariance matrix of the two algorithms, i.e. MVDV and LCMV, are constructed with the array snapshots in the far range cells which do not include useful radar echo. Thus the free degree of antenna array is increased. The feasibility of the adaptive beamformer is proved by utilizing it to process the actual radar data.