pith:EKTBC5ZE
Decoupled Azimuth Elevation AoA Estimation Exploiting Kronecker Separable Steering Matrices
Kronecker separability of steering vectors allows decoupling of azimuth and elevation subspaces for independent 1D AoA estimation.
arxiv:2605.13394 v1 · 2026-05-13 · eess.SP
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Claims
Monte Carlo simulations show that the proposed approach achieves higher accuracy than state of the art methods, i.e., two dimensional MUSIC, reduced-dimension MUSIC, and two-dimensional ESPRIT, for medium- and large scale arrays while requiring fewer snapshots.
The arrays (URA, NURA, UPgA, NUPgA) admit steering vectors that can be expressed exactly as the Kronecker product of azimuth and elevation steering vectors, allowing the full steering matrix to be written as the Khatri-Rao product of the corresponding azimuth and elevation matrices.
A Kronecker-based subspace decoupling framework separates azimuth and elevation AoA estimation so that 1D MUSIC, root-MUSIC or ESPRIT can be applied independently, yielding higher accuracy than 2D MUSIC or 2D ESPRIT with fewer snapshots.
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Receipt and verification
| First computed | 2026-05-18T02:44:47.684714Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
22a6117724f84e8f0f199d33704ddb9b8a00ea0512cfb95559c648a38e6a3889
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Canonical record JSON
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