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Radar-Based Target Tracking Using Deep Learning Approaches with Unscented Kalman Filter

Machine learning, a rapidly growing field, has attracted numerous researchers for its ability to automatically learn from and make predictions based on data. This manuscript presents an innovative approach to estimating the covariance matrix of noise in radar measurements for target tracking, result...

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Uloženo v:
Hlavní autoři: Uwigize Patrick, S. Koteswara Rao, B. Omkar Lakshmi Jagan, Hari Mohan Rai, Saurabh Agarwal, Wooguil Pak
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2024-09-01
Edice:Applied Sciences
Témata:
radar
Kalman filter
deep learning
multilayer perceptron
convolutional neural network
long short-term memory
On-line přístup:https://www.mdpi.com/2076-3417/14/18/8332
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