Robust Target Tracking with Unreliable Binary Proximity Sensors

This paper describes an algorithm for target tracking in a distributed network of binary proximity sensors that is robust to sensor failures. Tracking with such sensors is a difficult problem as they only transmit a single binary digit regarding the presence of a target. The operational status of these sensors may also not be accurately known. This paper describes a Gaussian mixture-based tracking algorithm that addresses these two issues

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