Abstract
Research on acoustic source localization is actively being conducted to enhance accuracy and coverage. However, the performance is inherently limited due to the use of expensive sensor nodes and inefficient communication methods. This paper proposes an acoustic source localization algorithm for a large area that uses low-cost sensor nodes. The proposed mechanism efficiently handles multiple acoustic sources by removing false-positive errors that arise from the different propagation ranges of radio and sound. Extensive outdoor experiments with real hardware validated that the proposed mechanism could localize four acoustic sources within a 3 m error in a 60 m by 60 m area, where conventional systems could hardly achieve similar performance.
Highlights
IntroductionThe sensing range of a conventional acoustic source localization system is restricted by the characteristics of the delivery ranges of sound sources and radio signals
Acoustic source localization systems have been widely used in various applications such as counter-sniper systems [1,2,3,4,5], animal tracking systems [6,7] and a parking lot security system [8]. several systems have been developed to enhance accuracy, there are still restrictions with regards to the sensing range and an efficient acoustic source localization system that uses low-cost sensor nodes and works with minimum network overhead is still needed.The sensing range of a conventional acoustic source localization system is restricted by the characteristics of the delivery ranges of sound sources and radio signals
We validated that MDSL performs well even when multiple acoustic sources are active
Summary
The sensing range of a conventional acoustic source localization system is restricted by the characteristics of the delivery ranges of sound sources and radio signals. MBFM is a centralized system in which nodes, upon detecting an acoustic source, send all of the detected information to a base station; this generates network overhead since many nodes may concurrently send data to the base station. The proposed system locates acoustic sources based on the DSL All members of the group individually estimate the source location by exchanging the data of the acoustic source with each other. The leader node estimates the source location by gathering the results from other members. Because of this distributed mechanism, there is no computational overhead on the leader node in DSL.
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