Direction finding algorithms based on high-order statistics

DOI10.1109/78.134434zbMath0729.62601OpenAlexW2140352766MaRDI QIDQ3355091

Boaz Porat, Benjamin Friedlander

Publication date: 1991

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/78.134434

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (13)

Signal detection using third-order moments ⋮ Efficient Computation of Higher-Order Cumulant Tensors ⋮ Numerically stable, scalable formulas for parallel and online computation of higher-order multivariate central moments with arbitrary weights ⋮ Higher-order statistics-based non-uniform linear array for underdetermined DoA estimation of non-circular signals ⋮ Harmonic signals retrieval approach based on blind source separation ⋮ High-resolution algorithm for image segmentation in the presence of correlated noise ⋮ High-resolution harmonic retrieval using the full fourth-order cumulant ⋮ Noncircularity restoral for multi-antenna blind beamforming ⋮ Second and fourth order statistics-based reduced polynomial rooting direction finding algorithms ⋮ A comprehensive approach to DOA estimation using higher-order statistics ⋮ DOA estimation based on fourth-order cumulants with unknown mutual coupling ⋮ Blind identification of MISO-FIR channels ⋮ A new DOA estimation approach using Volterra signal model

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