Introduces a scalable algebraic framework relating rank deficiency of generalized Vandermonde matrices for sparse steering vectors to thinned Toeplitz matrices and augmented full-ULA matrices to characterize and avoid multi-source ambiguities in thinned uniform linear arrays.
Atomic norm denoising for multi-frequency-snapshot DOA estimation
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
eess.SP 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Derives wideband compressed-domain CRB for near-field XL-MIMO, decomposing Fisher information into dominant data-diversity gain scaling as 10 log10(Ks) dB and secondary geometric-diversity from frequency-dependent Fresnel curvature, with +27.8 dB total improvement at 28 GHz and 400 MHz bandwidth.
citing papers explorer
-
Ambiguity Analysis and Design of Sparse Arrays via Generalized Vandermonde Rank Conditions
Introduces a scalable algebraic framework relating rank deficiency of generalized Vandermonde matrices for sparse steering vectors to thinned Toeplitz matrices and augmented full-ULA matrices to characterize and avoid multi-source ambiguities in thinned uniform linear arrays.
-
Wideband Compressed-Domain Cramer-Rao Bounds for Near-Field XL-MIMO: Data and Geometric Diversity Decomposition
Derives wideband compressed-domain CRB for near-field XL-MIMO, decomposing Fisher information into dominant data-diversity gain scaling as 10 log10(Ks) dB and secondary geometric-diversity from frequency-dependent Fresnel curvature, with +27.8 dB total improvement at 28 GHz and 400 MHz bandwidth.