Beamspace array processing for moving sources

We consider a method for signal detection given a small number of data samples, such as in the case of tracking moving sources. By employing a linear transformation, we map the full dimension sensor space data onto a lower dimension space (beamspace) to lower the computation complexity and enhance the signal-to-interference-plus-noise ratio (SINR). The SINR of the beamspace MVDR beamformer is compared with that of diagonally loaded MVDR. Analysis and simulation show that the beamspace MVDR has better performance when the number of data samples is small.