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

**Authors:** Xinyu Tang, Xiaomei Tang, Honglei Lin, Yi Wu, Guangfu Sun

PMC · DOI: 10.3390/s25216615 · 2025-10-28

## TL;DR

WAWA is a new GNSS authentication method that enables immediate verification of signals using wavelet analysis, improving security and efficiency for time-sensitive applications.

## Contribution

WAWA introduces a wavelet-based watermarking scheme for GNSS signals that allows immediate symbol-level authentication with low memory and latency.

## Key findings

- WAWA enables immediate symbol-level authentication using a public key, eliminating verification delay and time synchronization.
- The method achieves superior effective bandwidth and low memory overhead while maintaining signal integrity.
- WAWA's design is validated through theoretical modeling and simulation, showing controllable signal correlation loss.

## 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.

## Full-text entities

- **Genes:** PRRT2 (proline rich transmembrane protein 2) [NCBI Gene 112476] {aka BFIC2, BFIS2, DSPB3, DYT10, EKD1, FICCA}
- **Diseases:** PKI (MESH:C000719203), injury to (MESH:D014947), Man (MESH:D016750), WAWA (MESH:D019292)
- **Chemicals:** GNSS (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

17 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12609108/full.md

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Source: https://tomesphere.com/paper/PMC12609108