Proposes three ITC-OLS variants (disjoint rank-based, joint selection-based, hybrid) for joint target-number and DoA estimation; simulations indicate the hybrid version outperforms the others and a literature baseline under both AIC and BIC.
Orthogonal least squares methods and their application to non-linear system identification
2 Pith papers cite this work, alongside 1,544 external citations. Polarity classification is still indexing.
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Proposes G-iMUSIC variants that integrate greedy pursuit with MUSIC using one initial EVD and FFT acceleration, claiming better multi-target DoA performance than OMP, OLS, or standard MUSIC in simulations.
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Orthogonal Least Squares with Integrated Information Theoretic Criteria for Joint Number of Targets and DoA Estimation
Proposes three ITC-OLS variants (disjoint rank-based, joint selection-based, hybrid) for joint target-number and DoA estimation; simulations indicate the hybrid version outperforms the others and a literature baseline under both AIC and BIC.
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G-iMUSIC: Greedy Iterative MUSIC Algorithms for Multi-Target DoA Estimation
Proposes G-iMUSIC variants that integrate greedy pursuit with MUSIC using one initial EVD and FFT acceleration, claiming better multi-target DoA performance than OMP, OLS, or standard MUSIC in simulations.