2022
DOI: 10.1142/s0218126622502073
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Learning-Based Health Prediction Method for Airborne DME Receiver with Signal Processing Techniques in 6G Networks

Abstract: Accurate aircraft positioning is the key to construct a reliable network topology when aircrafts are used to assist 6G cellular networks in ground communications. Distance Measuring Equipment (DME) has been widely used in aircraft positioning with the help of multiple ground-based radar stations. In this paper, a learning-based health prediction method for airborne DME receiver is proposed by using signal processing techniques to achieve quantitative health status assessment and failure degradation trend predi… Show more

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