SACLANT ASW RESEARCH CENTRE LA SPEZIA (ITALY)
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Beamforming techniques are generally based on the assumption that the received signal arrives from a single source. In a realistic situation, however, there is more than one source present and these sources can interact with each other in the beamformer. This paper describes a method that allows us to form multiple beams in order to steer the receiver toward two or more sound sources simultaneously. The main advantage of this procedure is that it includes the full interactions of the different sources in the beamformer. It describes a multiple beamformer in which the interaction of different sources is included in the algorithm. The maximum likelihood principle 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-processors necessary and suitable to ensure globally optimized results are derived from the ideas of Pisarenko and Prony. Finally, a post-processor is proposed to evaluate the success of the multiple beamformer.