Extension of the Pisarenko method to sparse linear arrays
作者： J.-J. Fuchs
DOI: 10.1109/ICASSP.1995.478489
关键词: Mathematical optimization 、 Linear programming 、 Narrowband 、 Mathematics 、 Array processing 、 Covariance matrix 、 Norm (mathematics) 、 Deconvolution 、 Algorithm 、 Harmonic analysis 、 Sparse matrix
摘要: When applied to array processing, the Pisarenko harmonic retrieval method is limited linear equispaced arrays. The author presents an approach that allows extend it general For ease of exposition, considers only sparse Though in generality, these arrays already permit localize up N(N-1)/2 narrow-band sources with N-sensors. actually shows can be seen as a deconvolution or model-fitting minimizes l/sub 1/ norm and implemented standard program. Further extensions allowing model take into account statistical nature data (the estimation errors) are also proposed.
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