DOA estimation using blind separation of sources

We propose a new approach for the estimation of DOA for polarized EM waves using blind separation of sources. In this approach we use a vector-sensor, a sensor whose output is a complete set of the EM field components of the irradiating wave and we reconstruct the waveforms of all the original signals; that is, all the EM components of the source's field. The blind separation of sources is made iteratively using a recurrent Hopfield-like single layer neural network. The simulation results for two sources have been investigated. We have considered coherent and incoherent sources, and also the case of varying DOA's vis-a-vis to the sensor and a varying polarization.