Evidence map›Paper›PMID 42817382›Full record

ArticleSensors (Basel, Switzerland)2026

Maximum-Consistency Extension of Combined Weighted Method for Outlier-Robust Acoustic TDOA Localization.

István Halász, Rozália Lakner, Gergely Zachár, Gyula Simon

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

István HalászAlba Regia Faculty, Óbuda University, H-8000 Székesfehérvár, Hungary.ORCID 0000-0003-0907-3073
Rozália LaknerAlba Regia Faculty, Óbuda University, H-8000 Székesfehérvár, Hungary.ORCID 0000-0001-5665-479X
Gergely ZachárInstitute for Software Integrated Systems, Vanderbilt University, Nashville, TN 37212, USA.ORCID 0000-0002-9876-5057
Gyula SimonAlba Regia Faculty, Óbuda University, H-8000 Székesfehérvár, Hungary.ORCID 0000-0003-0296-3399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Time difference of arrival (TDOA) measurements and corresponding hyperbolic localization techniques are widely utilized across diverse domains, including pedestrian tracking, wildlife monitoring, autonomous vehicle navigation, underwater positioning, and defense applications. The combined weighted (COM-W) method and its enhanced version (E-COM-W) provide location estimates in closed form in two dimensions. These methods are attractive candidates for hyperbolic localization problems because they offer a low, deterministic computational cost; require a minimal number of sensors; and incorporate geometric dilution of precision (GDOP) directly into the location estimate. While the accuracy of the location estimate approaches the Cramér-Rao lower bound (CRLB) under low-noise conditions, it degrades significantly in the presence of higher measurement errors that are common in practice. This paper elucidates the mechanisms driving this suboptimal behavior and proposes a robust method, designated as R-COM-W. The proposed algorithm not only rectifies the performance degradation of both COM-W and E-COM-W in high-noise environments but also ensures resilience against erroneous measurements, such as those caused by non-line-of-sight (NLOS) propagation. We extend this methodology to three dimensions and demonstrate the superior performance of R-COM-W using both numerical simulations and experimental measurements.

Indexed as

Cramér–Rao lower bound (CRLB)error resilienceposition estimationsensor fusiontime difference of arrival (TDOA)

Identifiers

PMID42817382
PMCPMC13611819

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.