Improved Viterbi Algorithm for Automatic Identification System Signal Demodulation

To address the limitations of conventional Automatic Identification System (AIS) signal demodulation algorithms, this paper comparatively analyzes the performance characteristics of differential phase detection and coherent Viterbi demodulation. An improved scheme combining 1-bit differential phase detection with the Viterbi algorithm—termed the enhanced Viterbi demodulation algorithm—is proposed. By incorporating inter-symbol phase differences for path selection and metric accumulation, the algorithm reduces reliance on absolute phase information while optimizing computational complexity and memory requirements. Extensive simulations validate the algorithm’s performance, demonstrating significant improvements over traditional methods in carrier frequency offset tolerance, phase noise robustness, and bit error rate. The proposed solution offers an efficient demodulation approach for AIS signal processing systems.

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Publication Details

Published
2025-08-03
DOI
https://doi.org/10.1109/iciea65512.2025.11148455
Citations
1
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
1.21
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Improved Viterbi Algorithm for Automatic Identification System Signal Demodulation

Xinlei Yu, Junjie Ma, Wen Gao, Na Wu
1 citations
Advanced Algorithms and Applications
1.21
article

Improved Viterbi Algorithm for Automatic Identification System Signal Demodulation

Xinlei Yu, Junjie Ma, Wen Gao, Na Wu
article en
1 citations

Abstract

To address the limitations of conventional Automatic Identification System (AIS) signal demodulation algorithms, this paper comparatively analyzes the performance characteristics of differential phase detection and coherent Viterbi demodulation. An improved scheme combining 1-bit differential phase detection with the Viterbi algorithm—termed the enhanced Viterbi demodulation algorithm—is proposed. By incorporating inter-symbol phase differences for path selection and metric accumulation, the algorithm reduces reliance on absolute phase information while optimizing computational complexity and memory requirements. Extensive simulations validate the algorithm’s performance, demonstrating significant improvements over traditional methods in carrier frequency offset tolerance, phase noise robustness, and bit error rate. The proposed solution offers an efficient demodulation approach for AIS signal processing systems.

Shandong Institute of Business and Technology (CN)
Openalex Percentile: Top 17%
Advanced Algorithms and Applications
1.21
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