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The paper considers direction of arrival (DOA) estimation from long-term observations in a noisy environment. In such an environment the noise source might evolve, causing the stationary models to fail. Therefore a heteroscedastic Gaussian noise model is introduced where the variance can vary across observations and sensors. The source amplitudes are assumed independent zero-mean complex Gaussian distributed with unknown variances (i.e. the source powers), leading to stochastic maximumdoi:10.1109/icassp.2018.8462447 dblp:conf/icassp/GerstoftNML18 fatcat:jxw6iubgyfhnvfxdntbn4r6v44