Deep Learning-Based Track Prediction and Correction for a Radar Target

Author:

Kar Suryavijoy1,Babu Sherin2ORCID,Jain Dhruv1,Shali Yedhu2,Saritha D. S.2,Bhat Rajshekhar V.1ORCID,Bharath B. N.1

Affiliation:

1. Department of Electrical Engineering, Indian Institute of Technology at Dharwad, Dharwad, India

2. Central Research Laboratory, Bharat Electronics Ltd., Bengaluru, India

Funder

Central Research Laboratory, Bharat Electronics Limited, Bangalore, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference23 articles.

1. Tracking of Dynamical Processes with Model Switching Using Temporal Convolutional Networks

2. Modular multi target tracking using LSTM networks;verma;arXiv 2011 09839,2020

3. Adam: A method for stochastic optimization;kingma;Proc Int Conf Learn Represent,2014

4. Maneuvering Target Tracking using the Autoencoder-Interacting Multiple Model Filter

5. Maneuvering Target Tracking with Recurrent Neural Networks for Radar Application

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1. 3D detection and tracking of deformable bubbles in swarms with the aid of deep learning models;International Journal of Multiphase Flow;2024-09

2. Maneuvering Target Tracking Using GAT Autoencoder with Clutters;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Anchor-Based, Real-Time Motion Compensation for High-Resolution mmWave Radar;IEEE Journal of Microwaves;2024-07

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