300 GHz radar for high resolution SAR and ISAR applications

Caris, M.; Stanko, Stephan; Palm, Stephan; Sommer, Rainer; Wahlen, Alfred; Pohl, Nils

doi:10.1109/irs.2015.7226313

Cited by 51 publications

(38 citation statements)

References 3 publications

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“…To the best of our knowledge, the effects have not been studied for this wide bandwidth. Most of the available THz SAR testbeds are limited with the system bandwidth and follow either an ideal trajectory or equipped with high weighing IMU/INS systems that cannot be mounted on the UAV [19][20][21][22][23]. Moreover, as of the unavailability of commercial THz frontends for this wide bandwidth, a vector network analyzer (VNA) with the THz extenders is used as a radar sensor.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Indoor THz SAR Trajectory Deviations Effects and Compensation With Passive Sub-mm Localization System

et al. 2020

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In radar remote sensing, the Terahertz (THz) spectrum is presently being investigated worldwide with focus on short-range indoor and outdoor applications. The spectrum broadens the unmanned aerial vehicle (UAV) based synthetic aperture radar (SAR) applications to indoor room profiling with submm resolution and material characterization as many materials have unique fingerprints at this spectrum. SAR technique requires precise localization information of the mobile radar sensor, which in conventional SAR is achieved using an existing localization infrastructure, such as a global positioning system (GPS) and inertial measurement unit (IMU). For the indoor THz SAR, the GPS does not provide coverage in indoor complex environments, and also the state-of-art compact IMU does not provide the required sub-mm accuracy. These limitations can be overcome by utilizing an indoor localization system. Therefore, this paper presents an indoor THz simultaneous localization and mapping (SLAM) system. The system comprises of passive tags based radio frequency identification (RFID) localization system and SAR that provides the UAV localization and mapping of the in-room objects. Another challenge for the UAV based indoor THz SAR that is addressed in this paper is motion compensation (MOCO). At the THz, MOCO requires special consideration due to very small trajectory deviation is in the range of carrier wavelength. Therefore, to study the effects of the sub-mm translational errors, a testbed has been set up, and measurement results are presented in this paper along with the 3D electromagnetic simulation results for a carrier frequency of 275 GHz and bandwidth of 50 GHz. Further, to compensate these errors, the sub-mm localization system is used and the results are presented to validate the proposed solution for indoor THz SAR MOCO.

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Section: Introduction and Related Workmentioning

confidence: 99%

Indoor THz SAR Trajectory Deviations Effects and Compensation With Passive Sub-mm Localization System

et al. 2020

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“…In addition, the lower photon energy of THz waves nearly causes no harm to the human body under safety inspection. All these characteristics lead to promising prospects in biomedical imaging [1], stand-off detection for imaging [2,3], and synthetic aperture radar (SAR)/inverse synthetic aperture radar (ISAR) imaging [4,5].…”

Section: Introductionmentioning

confidence: 99%

Experimental Research on Interferometric Inverse Synthetic Aperture Radar Imaging with Multi-Channel Terahertz Radar System

Zhang

Yang

Deng

et al. 2019

Sensors

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The all solid-state terahertz (THz) radar has obvious miniaturized integration and high resolution imaging advantages compared with conventional microwave radar. In this paper, a 0.22 THz active frequency-modulated pulse radar system with one transmission channel and four receiving channels is presented, and interferometric inverse synthetic aperture radar (InISAR) imaging experiments, which can acquire altitude information of objects, are carried out. In order to acquire high-quality InISAR images, a calibration method is presented to solve the nonlinearity of wideband signal frequency and phase inconsistency of different receiving channels together. Furthermore, to deal with the phase wrapping in InISAR imaging of objects with large scale, a novel method based on the dominant scatterers to estimate the objects rotation rate is presented. Finally, to show more information of objects in the InISAR images, the imaging results with a large rotation angle by the convolutional back-projection algorithm are obtained. The imaging results verify the superior performance of the multi-channel THz radar system and the imaging processing method, which can provide support for further research on InISAR imaging in the THz band.

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“…The resolution depends on the bandwidth of the sweep signal and the length or relative rotation angle of the synthetic aperture. Representatives include FGAN-FHR [25][26][27], the US Defense Advanced Research Projects Agency (DARPA) [28], and so on [29][30][31][32][33]. Compared to the former two THz radar systems, the SAR/ISAR system has a relatively simple system structure and low hardware cost, and it has no limitation of target distance.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Translational Motion Parameters in Terahertz Interferometric Inverse Synthetic Aperture Radar (InISAR) Imaging Based on a Strong Scattering Centers Fusion Technique

et al. 2019

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Translational motion of a target will lead to image misregistration in interferometric inverse synthetic aperture radar (InISAR) imaging. In this paper, a strong scattering centers fusion (SSCF) technique is proposed to estimate translational motion parameters of a maneuvering target. Compared to past InISAR image registration methods, the SSCF technique is advantageous in its high computing efficiency, excellent antinoise performance, high registration precision, and simple system structure. With a one-input three-output terahertz InISAR system, translational motion parameters in both the azimuth and height direction are precisely estimated. Firstly, the motion measurement curves are extracted from the spatial spectrums of mutually independent strong scattering centers, which avoids the unfavorable influences of noise and the “angle scintillation” phenomenon. Then, the translational motion parameters are obtained by fitting the motion measurement curves with phase unwrapping and intensity-weighted fusion processing. Finally, ISAR images are registered precisely by compensating the estimated translational motion parameters, and high-quality InISAR imaging results are achieved. Both simulation and experimental results are used to verify the validity of the proposed method.

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300 GHz radar for high resolution SAR and ISAR applications

Cited by 51 publications

References 3 publications

Indoor THz SAR Trajectory Deviations Effects and Compensation With Passive Sub-mm Localization System

Indoor THz SAR Trajectory Deviations Effects and Compensation With Passive Sub-mm Localization System

Experimental Research on Interferometric Inverse Synthetic Aperture Radar Imaging with Multi-Channel Terahertz Radar System

Estimation of Translational Motion Parameters in Terahertz Interferometric Inverse Synthetic Aperture Radar (InISAR) Imaging Based on a Strong Scattering Centers Fusion Technique

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