AI Boosts Anti-Submarine Warfare Detection Capabilities by Up to 90 Percent

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FORMOSA NEWS

Researchers from the Universitas Pertahanan Republik Indonesia (Indonesian Defense University), led by Dipo Andimuharrom and his team, have successfully demonstrated that the integration of Artificial Intelligence (AI) can significantly enhance maritime defense capabilities in detecting hostile submarines. This research is critical amidst the rapid development of stealth submarine technology, which has rendered conventional detection tools increasingly irrelevant in safeguarding territorial waters.

The Challenge of Stealth Technology Modern submarines are currently designed with specialized sound-absorbing materials and hydrodynamic designs capable of reducing acoustic signatures by up to 70 percent. Beyond the sophistication of adversary technology, traditional sonar systems often experience performance drops of up to 35 percent due to environmental marine noise, such as temperature fluctuations (thermoclines), currents, and biological interference. The limitations of legacy systems, which cannot adapt to these dynamic conditions, create serious security gaps in anti-submarine warfare (ASW) operations.

Research Methodology The research team conducted a systematic analysis of various global studies and sonar technology developments between 2019 and 2025. The primary focus was evaluating how machine learning and deep learning algorithms could overcome the limitations of legacy sonar systems. They dissected the effectiveness of various AI models in processing noisy acoustic data into accurate target information and simulated the application of this technology under real operational conditions.

Key Findings

The research results indicate that integrating AI provides a substantial performance leap compared to conventional sonar systems:

• High Accuracy: Hybrid AI models achieve target classification accuracy rates above 90 percent.
• Reduced Errors: The technology successfully reduces false alarms by 72 percent.
• Rapid Response: Detection speed has increased significantly, with a response time three times faster than manual systems—a critical factor in combat situations.
• Environmental Robustness: The system remains stable and reliable even when operated in noisy and dynamic sea conditions.

Strategic Implications The application of AI in anti-submarine warfare shifts the defense paradigm from manual processes to systems capable of adapting in real-time. This advantage provides "decision superiority" for naval commanders, enabling more precise and rapid responses within the kill chain.

Regarding public and defense policy, these findings encourage the necessity of collaboration between military institutions, academia, and the industry to establish an AI-ASW research center. This automation not only strengthens maritime patrol efficiency but also ensures comprehensive situational awareness across multiple domains, from the sea and air to cyberspace.

Author Profile

This research was compiled by a team of experts from the Universitas Pertahanan Republik Indonesia, consisting of:

• Dipo Andimuharrom (Lead Author/Correspondence)
• Asep Adang Supriyadi
• Doddy Mendro Yuwono
• Anugrah Adityayuda
• Expertise: Maritime Defense, Sonar Technology, and Artificial Intelligence for National Security.

Research Source:

• Article Title: Enhancing Anti-Submarine Warfare (ASW) Capabilities Through Adaptive AI-Driven Sonar Signal Processing: A Strategic Defense Approach
• Journal: Universitas Pertahanan Republik Indonesia
• Year: 2026

• DOI:

  https://doi.org/10.59890/ijetr.v4i2.6