Demonstration of Real-time Cognitive Radar using Spectrally-Notched Random FM Waveforms-Reference-Cited by-同舟云学术

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Demonstration of Real-time Cognitive Radar using Spectrally-Notched Random FM Waveforms

Published:2020-04 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Radar Conference (RADAR)
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Author:

Owen Jonathan W.,Mohr Charles A.,Kirk Benjamin H.,Blunt Shannon D.,Martone Anthony F.,Sherbondy Kelly D.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9109357/9114538/09114625.pdf?arnumber=9114625

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cognitive Radar Scheduler Architecture;2024 IEEE Radar Conference (RadarConf24);2024-05-06

2. Application of Orthogonal Frequency-Division Multiplexing Waveforms in Highly Precise and Efficient Radar Cross Section Measurements;IEEE Transactions on Instrumentation and Measurement;2024

3. Deep Reinforcement Learning for Cognitive Radar Spectrum Sharing: A Continuous Control Approach;IEEE Transactions on Radar Systems;2024

4. On the Optimality of Spectrally Notched Radar Waveform & Filter Designs;2023 IEEE Radar Conference (RadarConf23);2023-05-01

5. Optimization Algorithm for Spectral Notching Based on Analytical Frequency Spectrum of Ultrawideband Throb Signal Represented by Chirp-Fourier Series;IEEE Transactions on Radar Systems;2023

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