pith:BGWKU4BA
Orthogonal Least Squares with Integrated Information Theoretic Criteria for Joint Number of Targets and DoA Estimation
Integrating information theoretic criteria into orthogonal least squares enables joint estimation of the number of targets and their directions of arrival.
arxiv:2605.06198 v2 · 2026-05-07 · eess.SP
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\usepackage{pith}
\pithnumber{BGWKU4BACOE63S7IOZ6NX27ZI2}
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Record completeness
Claims
Numerical simulations show that the proposed hybrid ITC-OLS algorithm consistently outperforms both the other proposed variants and a baseline method from the literature.
That embedding the ITC penalty inside the OLS greedy steps preserves the statistical consistency of model-order selection without introducing bias from the sequential nature of the search.
Hybrid ITC-OLS algorithm integrates model-order selection into greedy DoA estimation and outperforms other variants and a literature baseline in simulations.
Receipt and verification
| First computed | 2026-05-28T01:05:12.502400Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
09acaa70201389edcbe8767cdbebf946b3c6d50f31b7205e995a52935b14b6e9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BGWKU4BACOE63S7IOZ6NX27ZI2 \
| 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: 09acaa70201389edcbe8767cdbebf946b3c6d50f31b7205e995a52935b14b6e9
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SP",
"submitted_at": "2026-05-07T13:08:43Z",
"title_canon_sha256": "14880c1e4c86ad71515bbc86db37055eec756bf5fd531a11ce6e224f8dd06169"
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"kind": "arxiv",
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