pith:KUCBFK2A
Array Zooming Optimization for Near-Field Localization With Movable Antennas
Movable-antenna array zooming fuses multiple measurements to suppress aliasing and outperform fixed arrays in near-field localization accuracy.
arxiv:2604.27352 v2 · 2026-04-30 · eess.SP
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\pithnumber{KUCBFK2ATALUSKOWAP24FT7TWJ}
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Record completeness
Claims
the proposed AZ strategy adaptively optimizes array configurations under varying signal-to-noise ratios (SNRs), substantially outperforming both conventional fixed-spacing arrays and Cramer-Rao bound (CRB)-based AZ benchmarks in localization accuracy.
That fusing multiple measurements from different array spacings can reliably eliminate spatial aliasing without introducing new errors from movement or calibration, and that the derived false-peak distribution accurately models practical multi-modal likelihoods.
The paper introduces an array zooming optimization using movable antennas that fuses multi-measurement observations to suppress false peaks and achieve better near-field localization accuracy than fixed arrays or CRB-based methods.
Receipt and verification
| First computed | 2026-06-01T01:02:40.807805Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
550412ab4098174929d603f5c2cff3b253c62a24539fc258d93da96d9528dc08
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KUCBFK2ATALUSKOWAP24FT7TWJ \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 550412ab4098174929d603f5c2cff3b253c62a24539fc258d93da96d9528dc08
Canonical record JSON
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