Direction of arrival estimation for more correlated sources than active sensors
作者： Dyonisius Dony Ariananda , Geert Leus
DOI: 10.1016/J.SIGPRO.2013.04.011
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摘要: Abstract In this paper, a new direction of arrival (DOA) estimation method for more correlated sources than active receiving antennas is proposed. The trick to solve problem using only second-order statistics consider periodic scanning an underlying uniform array, where single period contains several time slots and in different sets are activated leading dynamic non-uniform array with possibly less each slot. We collect the spatial correlation matrices antenna arrays all able present them as linear function matrix array. provide necessary sufficient condition system equations be full column-rank, which allows least squares (LS) reconstruction Some practical greedy algorithms presented design satisfying condition. second step, we use resulting estimate DOAs by smoothing MUSIC. Alternatively, can express (incoming signals) at grid investigated angles, either LS or sparsity-regularized (possibly assisted additional constraints), depending on resolution compared number
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