Beamforming techniques are generally based on the assumption that the received signal arrives froma single source. In a realistic situation, however, there is more than one source present and thesesources can interact with each other in the beamformer. This paper describes a multiple beamformerin which the interaction of different sources is included in the algorithm. The maximum likelihoodprinciple is used to find the different source amplitude and bearing estimates. The performance of the algorithm is compared for varying conditions with the Cramer-Rao lower bound. Two pre-processorsnecessary and suitable to ensure globally optimized results are derived from the ideas of Pisarenkoand Prony. Finally, a post-processor is proposed to evaluate the success of the multiple beamformer.
Zimmer, Walter M. X.