CWLFM millimeter-wave radar for ISAR imaging with medium range coverage

Campo, A.B. del; López, A.; Naranjo, B.P.D.; Menoyo, Javier Gismero; Moran, Dror; Duarte, C.C.

doi:10.1109/radar.2005.1435961

Cited by 9 publications

(4 citation statements)

References 3 publications

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“…Currently, with remarkable advancements in sensing technology, advanced Radars, such as Inverse Synthetic Aperture Radar (ISAR) [ 18 , 19 ], millimeter-wave linear frequency-modulated continuous-wave (LFMCW) radar [ 20 ], and 79 GHz ultra-bandwidth radar [ 21 ], have overcome the limitations of low resolution and demonstrated their viability for traffic surveillance.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Roadside LiDAR-Based and Vision-Based Multi-Model All-Traffic Trajectory Data

Guan

Tian

2023

Sensors

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Trajectory data has gained increasing attention in the transportation industry due to its capability of providing valuable spatiotemporal information. Recent advancements have introduced a new type of multi-model all-traffic trajectory data which provides high-frequency trajectories of various road users, including vehicles, pedestrians, and bicyclists. This data offers enhanced accuracy, higher frequency, and full detection penetration, making it ideal for microscopic traffic analysis. In this study, we compare and evaluate trajectory data collected from two prevalent roadside sensors: LiDAR and camera (computer vision). The comparison is conducted at the same intersection and over the same time period. Our findings reveal that current LiDAR-based trajectory data exhibits a broader detection range and is less affected by poor lighting conditions compared to computer vision-based data. Both sensors demonstrate acceptable performance for volume counting during daylight hours, but LiDAR-based data maintains more consistent accuracy at night, particularly in pedestrian counting. Furthermore, our analysis demonstrates that, after applying smoothing techniques, both LiDAR and computer vision systems accurately measure vehicle speeds, while vision-based data show greater fluctuations in pedestrian speed measurements. Overall, this study provides insights into the advantages and disadvantages of LiDAR-based and computer vision-based trajectory data, serving as a valuable reference for researchers, engineers, and other trajectory data users in selecting the most appropriate sensor for their specific needs.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Roadside LiDAR-Based and Vision-Based Multi-Model All-Traffic Trajectory Data

Guan

Tian

2023

Sensors

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“…A variable local oscillator is used to choose a range interval while keeping fixed the beat frequency bandwidth. In order to produce a very linear LFM signal a DDS was used to output the reference for a Phase Locked Loop (PLL) [6].…”

Section: The Millimiter-wave Heterodyne Radar Demostratormentioning

confidence: 99%

Real-time signal processing system for high resolution CWLFM millimeter-wave radars

Moya¹,

Wang²,

Campo³

et al. 2008

2008 IEEE Radar Conference

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An FPGA-based real-time signal processing unit has been developed to perform Doppler processing in a high resolution CWLFM (continuous wave linear frequency modulated) millimeter-wave radar demonstrator. The article focuses on the strategies followed in order to achieve the required throughput as well as on the measures taken to guarantee coherency. Doppler processing is accomplished to output Range-Doppler radar images and transfer them to a PC application for display. Two different experimental setups have been used to verify the correct operation of the processing flow. The system has been designed so as to allow for future addition of complex target detection -classification schemes.

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“…The use of advanced radar imaging techniques, such as synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR), is being adapted from the radio frequency (RF) and microwave (MW) into the millimeter-wave (mmw) and terahertz (THz) spectral regions [1][2][3][4][5][6][7][8][9][10]. The high-fidelity images produced by these techniques at high frequencies have vindicated the high expectations for applications ranging from non-destructive testing and seeing through obscurants to terrain mapping and navigation assistance.…”

Section: Introductionmentioning

confidence: 99%

Wide bandwidth, millimeter-resolution inverse synthetic aperture radar imaging

Richard

Heimbeck²,

Autin

et al. 2017

J. Opt. Soc. Am. A

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The combination of wide bandwidth W-band inverse synthetic aperture radar imagery and high-fidelity numerical simulations has been used to identify distinguishing signatures from simple metallic and dielectric targets. Targets are located with millimeter-scale accuracy using super-resolution techniques. Radon transform reconstructions of the returns from rotated targets approached the image quality of the complete data set in a fraction of the time by sampling as few as 10 angles. The limitations of shooting-and-bouncing ray simulations at high frequencies are illustrated through a critical comparison of their predictions with the measured data and the method of moments simulations, indicating the importance of accurately capturing the obfuscating role played by multipath interference in complex targets.

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CWLFM millimeter-wave radar for ISAR imaging with medium range coverage

Cited by 9 publications

References 3 publications

Evaluation of Roadside LiDAR-Based and Vision-Based Multi-Model All-Traffic Trajectory Data

Evaluation of Roadside LiDAR-Based and Vision-Based Multi-Model All-Traffic Trajectory Data

Real-time signal processing system for high resolution CWLFM millimeter-wave radars

Wide bandwidth, millimeter-resolution inverse synthetic aperture radar imaging

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