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Narrowband adversarial sound source localization framework released, 91% success rate in simulation

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Adnan Abdullah and other authors released a technical report proposing a distributed sensing and localization framework for narrowband adversarial sound sources aimed at maritime data center monitoring. To address the problems of TDOA measurement aliasing and solution-space ambiguity under narrowband emission and sparse sensors, the framework has mobile receivers and selected fixed receivers temporarily form anchor pairs to constrain the feasible solution space; the two-stage process first estimates the sound source's initial position, then uses a particle filter to jointly track position and velocity. The authors report that in Monte Carlo acoustic simulations the localization success rate was 91%; in 10 open-water field trials, 9 achieved tracking error below 2 meters under receiver position uncertainty and sensing noise.

Report timeline

  1. Distributed Sensing and Adversarial Localization of Narrowband Acoustic Sources for Offshore Data Center Monitoring

    This technical report proposes an acoustic surveillance framework for localizing and tracking narrowband adversarial acoustic sources that threaten offshore data centers. To address aliased TDOA measurements and an ambiguous solution space under narrowband emissions and sparse sensors, it introduces a mobile receiver that temporarily forms anchor pairs with selected fixed receivers to constrain the feasible solution space. The two-stage pipeline first estimates the source's initial position using anchor constraints, then initializes a particle filter that jointly tracks source position and velocity. In Monte Carlo simulations, the localization success rate was 91%, and 9 of 10 open-water field trials achieved tracking errors below 2 meters.

    arXiv cs.RO ·

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