Evidence map›Paper›PMID 41228838›Full record

ArticleSensors (Basel, Switzerland)2025

WAWA: Wavelet Analysis-Based Watermarking Authentication for GNSS Civil Signal with Immediate Symbol-Level Verification.

Xinyu Tang, Xiaomei Tang, Honglei Lin, Yi Wu, Guangfu Sun

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

5 authors.

Xinyu TangCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China.ORCID 0009-0003-4676-3425
Xiaomei TangCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China.ORCID 0000-0002-0641-033X
Honglei LinCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China.ORCID 0009-0008-1952-1902
Yi WuCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China.ORCID 0009-0004-4820-9249
Guangfu SunCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China.ORCID 0000-0002-4856-1419

Funding

the National Natural Science Foundation of China U20A20193the National Natural Science Foundationof China 62531025
6 · The paper itself

Abstract

Existing GNSS authentication schemes suffer from critical drawbacks such as high verification latency and prohibitive memory requirements, leaving time-sensitive applications vulnerable to spoofing. The core challenge is the inability to transmit strong, real-time cryptographic credentials through the bandwidth-limited GNSS signal. This paper introduces WAWA, a Wavelet Analysis-based Watermarking Authentication scheme that operates at the physical layer of the GNSS signal. The central innovation of WAWA is its use of the wavelet domain to achieve a high-capacity data channel, allowing a complete public-key digital signature to be embedded directly within the signal structure. This enables receivers to perform immediate, symbol-level authentication using a public key, which fundamentally removes the verification delay and reliance on time synchronization seen in conventional methods. Furthermore, it eliminates the need for large memory buffers, a critical barrier for resource-constrained devices. We present the complete design of the watermark generation, embedding, and extraction process, alongside a novel dual-path verification framework adaptable to both standalone and network-assisted receivers. Performance analysis shows that WAWA achieves immediate authentication while offering superior effective bandwidth and maintaining low memory overhead. Although it introduces a controllable signal correlation loss, validated through both theoretical modeling and simulation, WAWA presents an exceptional balance of security, immediacy, and resource efficiency, offering a promising new paradigm for ensuring trustworthy PNT sensor data in time-critical and resource-sensitive applications, particularly in large-scale sensor networks and autonomous systems.

Indexed as

anti-spoofingdigital watermarkingGNSSpublic key cryptographysignal authenticationsymbol-level authenticationwavelet analysisWAWA

Identifiers

PMID41228838
PMCPMC12609108

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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.