Alexander Charlish
3 papers in the PaperMetrix corpus
Papers by this author
-
Time-Dependent State Prediction for the Kalman Filter Based on Recurrent Neural Networks
2020
Traditional formulations of the well-established Kalman filter build upon prediction models which are linear and Gaussian, moreover they usually adopt the Markov property which excludes any form of long-term temporal dependencies. However, targets might follow …
-
Classifying LPI signals with transfer learning on CNN architectures
2020
Due to the increased deployment of low probability of intercept radar systems, recognition and classification of low probability of intercept signals has developed an increased importance for electronic warfare systems. Recent results showed that combining …
-
Learning IMM Filter Parameters from Measurements using Gradient Descent
2023 · arXiv (Cornell University)
The performance of data fusion and tracking algorithms often depends on parameters that not only describe the sensor system, but can also be task-specific. While for the sensor system tuning these variables is time-consuming and …