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Towards Deep Radar Perception for Autonomous Driving: Datasets, Methods, and Challenges

Yi Zhou, Lulu Liu, Haocheng Zhao, Miguel López-Benítez, Limin Yu, Yutao Yue

Sensors (Basel) 2022 Jun; 22(11): 4208. Published online 2022 May 31. doi: 10.3390/s22114208

PMCID:: PMC9185239

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A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques

Alexey Noskov, Joerg Bendix, Nicolas Friess

Sensors (Basel) 2021 Feb; 21(4): 1474. Published online 2021 Feb 20. doi: 10.3390/s21041474

PMCID:: PMC7923785

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Spatial Information-Theoretic Optimal LPI Radar Waveform Design

Jun Chen, Jie Wang, Yidong Zhang, Fei Wang, Jianjiang Zhou

Entropy (Basel) 2022 Nov; 24(11): 1515. Published online 2022 Oct 24. doi: 10.3390/e24111515

PMCID:: PMC9689462

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Airborne Radar Anti-Jamming Waveform Design Based on Deep Reinforcement Learning

Zexin Zheng, Wei Li, Kun Zou

Sensors (Basel) 2022 Nov; 22(22): 8689. Published online 2022 Nov 10. doi: 10.3390/s22228689

PMCID:: PMC9692253

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Low probability of intercept-based adaptive radar waveform optimization in signal-dependent clutter for joint radar and cellular communication systems

Chenguang Shi, Sana Salous, Fei Wang, Jianjiang Zhou

EURASIP J Adv Signal Process. 2016; 2016(1): 111. Published online 2016 Oct 28. doi: 10.1186/s13634-016-0411-6

PMCID:: PMC5085998

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Joint Dwell Time and Bandwidth Optimization for Multi-Target Tracking in Radar Network Based on Low Probability of Intercept

Lintao Ding, Chenguang Shi, Wei Qiu, Jianjiang Zhou

Sensors (Basel) 2020 Mar; 20(5): 1269. Published online 2020 Feb 26. doi: 10.3390/s20051269

PMCID:: PMC7085607

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Dual Cancelled Channel STAP for Target Detection and DOA Estimation in Passive Radar

Giovanni Paolo Blasone, Fabiola Colone, Pierfrancesco Lombardo, Philipp Wojaczek, Diego Cristallini

Sensors (Basel) 2021 Jul; 21(13): 4569. Published online 2021 Jul 3. doi: 10.3390/s21134569

PMCID:: PMC8271834

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The Overview of Human Localization and Vital Sign Signal Measurement Using Handheld IR-UWB Through-Wall Radar

Degui Yang, Zhengliang Zhu, Junchao Zhang, Buge Liang

Sensors (Basel) 2021 Jan; 21(2): 402. Published online 2021 Jan 8. doi: 10.3390/s21020402

PMCID:: PMC7827243

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Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms

Djordje Mirkovic, Phillip M. Stepanian, Jeffrey F. Kelly, Phillip B. Chilson

Sci Rep. 2016; 6: 35637. Published online 2016 Oct 20. doi: 10.1038/srep35637

PMCID:: PMC5071894

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MIMO Radar Parallel Simulation System Based on CPU/GPU Architecture

Gaogao Liu, Wenbo Yang, Peng Li, Guodong Qin, Jingjing Cai, Youming Wang, Shuai Wang, Ning Yue, Dongjie Huang

Sensors (Basel) 2022 Jan; 22(1): 396. Published online 2022 Jan 5. doi: 10.3390/s22010396

PMCID:: PMC8749940

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Spaceborne Cloud and Precipitation Radars: Status, Challenges, and Ways Forward

Alessandro Battaglia, Pavlos Kollias, Ranvir Dhillon, Richard Roy, Simone Tanelli, Katia Lamer, Mircea Grecu, Matthew Lebsock, Daniel Watters, Kamil Mroz, Gerald Heymsfield, Lihua Li, Kinji Furukawa

Rev Geophys. 2020 Sep; 58(3): e2019RG000686. Published online 2020 Jul 13. doi: 10.1029/2019RG000686

PMCID:: PMC7375167

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Review-Microwave Radar Sensing Systems for Search and Rescue Purposes

Nguyen Thi Phuoc Van, Liqiong Tang, Veysel Demir, Syed Faraz Hasan, Nguyen Duc Minh, Subhas Mukhopadhyay

Sensors (Basel) 2019 Jul; 19(13): 2879. Published online 2019 Jun 28. doi: 10.3390/s19132879

PMCID:: PMC6650952

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A portable primary radar for general aviation

Jerom Maas, Ronald van Gent, Jacco Hoekstra

PLoS One. 2020; 15(10): e0239892. Published online 2020 Oct 1. doi: 10.1371/journal.pone.0239892

PMCID:: PMC7529288

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Distinguishing sleep from wake with a radar sensor: a contact-free real-time sleep monitor

Hanne Siri Amdahl Heglum, Håvard Kallestad, Daniel Vethe, Knut Langsrud, Trond Sand, Morten Engstrøm

Sleep. 2021 Aug; 44(8): zsab060. Published online 2021 Jan 8. doi: 10.1093/sleep/zsab060

PMCID:: PMC8361351

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Multiple Power Allocation Game Schemes for Spectrum Coexistence Model Between Multistatic MIMO Radar Sensors and MU Communication

Bin He, Hongtao Su

Sensors (Basel) 2020 Nov; 20(21): 6216. Published online 2020 Oct 31. doi: 10.3390/s20216216

PMCID:: PMC7663594

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Wireless non-invasive continuous respiratory monitoring with FMCW radar: a clinical validation study

K. van Loon, M. J. M. Breteler, L. van Wolfwinkel, A. T. Rheineck Leyssius, S. Kossen, C. J. Kalkman, B. van Zaane, L. M. Peelen

J Clin Monit Comput. 2016; 30(6): 797–805. Published online 2015 Sep 30. doi: 10.1007/s10877-015-9777-5

PMCID:: PMC5082588

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Estimation of Breathing Rate with Confidence Interval Using Single-Channel CW Radar

I. Nejadgholi, H. Sadreazami, Z. Baird, S. Rajan, M. Bolic

J Healthc Eng. 2019; 2019: 2658675. Published online 2019 Mar 28. doi: 10.1155/2019/2658675

PMCID:: PMC6458880

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Feature Extraction and Reconstruction by Using 2D-VMD Based on Carrier-Free UWB Radar Application in Human Motion Recognition

Liubing Jiang, Xiaolong Zhou, Li Che, Shuwei Rong, Hexin Wen

Sensors (Basel) 2019 May; 19(9): 1962. Published online 2019 Apr 26. doi: 10.3390/s19091962

PMCID:: PMC6539238

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Few-Shot User-Adaptable Radar-Based Breath Signal Sensing

Gianfranco Mauro, Maria De Carlos Diez, Julius Ott, Lorenzo Servadei, Manuel P. Cuellar, Diego P. Morales-Santos

Sensors (Basel) 2023 Jan; 23(2): 804. Published online 2023 Jan 10. doi: 10.3390/s23020804

PMCID:: PMC9865656

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Radar-Based Heart Sound Detection

Christoph Will, Kilin Shi, Sven Schellenberger, Tobias Steigleder, Fabian Michler, Jonas Fuchs, Robert Weigel, Christoph Ostgathe, Alexander Koelpin

Sci Rep. 2018; 8: 11551. Published online 2018 Jul 26. doi: 10.1038/s41598-018-29984-5

PMCID:: PMC6070547

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PMC Images search for radar performance figure【雷达】

Figure 13

Confusion matrix showing foot gesture recognition performance when compressed and original radar signature images are used as data sets for training and testing, respectively: (a) Reconstructed radar of compression ratio of 90% for training and original radar images for testing; (b) Reconstructed radar of compression ratio of 95% for training and original radar images for testing; (c) Reconstructed radar of compression ratio of 99% for training and original radar images for testing.

Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning

Sensors (Basel). 2021 Jun;21(11):3937.
Figure 11

Confusion matrix showing performance of radar sensor’s foot gesture recognition according to original and reconstructed radar images used for both training and testing: (a) Original radar image; (b) Reconstructed radar image with compression ratio of = 90%; (c) Reconstructed radar image with compression ratio of = 95%; (d) Reconstructed radar image with compression ratio of = 99%.

Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning

Sensors (Basel). 2021 Jun;21(11):3937.
Figure 13

Bistatic radar echo power is greater than single radar echo power: (a) Detection performance curve; (b) Difference value of the detection performance curve with the bistatic radar; (c) Difference value of the fusion detection performance curve.

Signal Processing and Target Fusion Detection via Dual Platform Radar Cooperative Illumination

Sensors (Basel). 2019 Dec;19(24):5341.
Figure 15

Single radar echo power is greater than bistatic radar echo power: (a) Detection performance curve; (b) Difference value of the detection performance curve with a single radar; (c) Difference value of the fusion detection performance curve.

Signal Processing and Target Fusion Detection via Dual Platform Radar Cooperative Illumination

Sensors (Basel). 2019 Dec;19(24):5341.