Interference Mitigation in Multi-radar Environment Using LSTM-Based Recurrent Neural Network
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53830-8_15
Reference16 articles.
1. Parker, M.: Radar Basics, Digital Signal Processing 101. 2nd edn., pp. 231–240. Newnes (2017)
2. Gurbuz, Z., Griffiths, H., Charlish, A., Rangaswamy, M., Greco, M., Bell, K.: An overview of cognitive radar: past, present, and future. In: IEEE aerospace and electronic systems magazine, 34(12), 6–18 (2019)
3. Bilik, I., Longman, O., Villeval, S., Tabrikian, J.: The rise of radar for autonomous vehicles: signal processing solutions and future research directions. IEEE Signal Process. Magazine 36(5), 20–31 (2019)
4. Xu, Z., Shi, Q.: Interference mitigation for automotive radar using orthogonal noise waveforms. IEEE Geosci. Remote Sensing Lett. 15(1), 137–141 (2018)
5. Galati, G., Pavan, G., Wasserzier, C.: Signal design and processing for noise radar. EURASIP J. Adv. Signal Process 52 (2022)
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