A data alternating extraction general structure and its algorithms for adaptive space–time wideband beamforming

The adaptive space-time processing is a well-substantiated method to build a wideband beamformer. This paper proposes a low complexity general structure for the adaptive space-time wideband beamforming. The new general structure uses a data alternating extraction approach for adjacent arrays to reduce the scales of received data, resulting in obtaining the optimum adaptive weights with much lower computational complexity. Then, the adaptive wideband beamforming algorithms are proposed for the general structure. Among the novel algorithms, the singular value decomposition alternating extraction frequency constrained Frost beamformer (SVD-AEFCFB) and SVD-AEFC Laguerre beamformer (SVD-AEFCLB) both have an undistorted response to the wideband signal of interest and satisfactory anti-interference capability with the lowest computational complexity. Importantly, the proposed structure and algorithms have the same generalized and popularized characteristics for the other space-time methods. Simulation results highlight the correctness and effectiveness of the proposed methods.