Adaptive factored beamforming for vector sensor arrays

We consider a new beamspace adaptive beamformer for vector sensor arrays. The sample support and computational requirement for this beamformer is roughly the same as that of a comparable beamspace MVDR beamformer for only the omnidirectional component of the same array. We refer to the new beamformer as “Adaptive Factored Beamformer” or AFBF since it assumes that the weight vector can be written as a Kronecker product of two weight vectors. The performance of this algorithm is evaluated against other adaptive beamformers using simulated data.