Measurement of the Rotation Center From the Received Signals for Ultrahigh-Resolution Radar Imaging

Yu, Jiwoong; Dewantari, Aulia; Ka, Min Ho

doi:10.1109/lawp.2017.2713819

Cited by 7 publications

(4 citation statements)

References 15 publications

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“…This would make any tracking very difficult. Therefore, we compensate for the UAV rotation using signal processing [17].…”

Section: Rotation Compensationmentioning

confidence: 99%

Detection and Monitoring of People in Collapsed Buildings Using a Rotating Radar on a UAV

Stockel,

Wallrath,

Herschel

et al. 2024

Trans. Rad. Sys.

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This paper presents a UAV-driven sensor system with a rotating radar designed to locate people in collapsed buildings. A framework including motion estimation, motion compensation, tracking and clustering is proposed. The developed algorithms enable the detection of people despite the motion of the UAV. Furthermore, we propose a Bayesian target selection approach to discriminate between human targets and other objects in the environment of the UAV with high confidence. The effectiveness of the proposed algorithms is demonstrated using measurements and a vital sign reference system, showing close agreement of the respiration signal over time with an overall respiration rate accuracy of 1.3 %.

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“…This would make any tracking very difficult. Therefore, we compensate for the UAV rotation using signal processing [17].…”

Section: Rotation Compensationmentioning

confidence: 99%

Detection and Monitoring of People in Collapsed Buildings Using a Rotating Radar on a UAV

Stockel,

Wallrath,

Herschel

et al. 2024

Trans. Rad. Sys.

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“…The FBP method was used for the image reconstruction because it is accurate and simple. Using a plane wave approximation, the far-field range was estimated by the symmetric method, proposed in [5,28], as shown in Table 1. Figures 7b, 8b and 9b are the radar images obtained using plane wave approximations of the pins, case, and vase, respectively.…”

Section: Figure 6 Entropy Of the Three Different Sets Of Targets Witmentioning

confidence: 99%

Precision Near-Field Reconstruction in the Time Domain via Minimum Entropy for Ultra-High Resolution Radar Imaging

2017

Remote Sensing

Self Cite

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Ultra-high resolution (UHR) radar imaging is used to analyze the internal structure of objects and to identify and classify their shapes based on ultra-wideband (UWB) signals using a vector network analyzer (VNA). However, radar-based imaging is limited by microwave propagation effects, wave scattering, and transmit power, thus the received signals are inevitably weak and noisy. To overcome this problem, the radar may be operated in the near-field. The focusing of UHR radar signals over a close distance requires precise geometry in order to accommodate the spherical waves. In this paper, a geometric estimation and compensation method that is based on the minimum entropy of radar images with sub-centimeter resolution is proposed and implemented. Inverse synthetic aperture radar (ISAR) imaging is used because it is applicable to several fields, including medicaland security-related applications, and high quality images of various targets have been produced to verify the proposed method. For ISAR in the near-field, the compensation for the time delay depends on the distance from the center of rotation and the internal RF circuits and cables. Required parameters for the delay compensation algorithm that can be used to minimize the entropy of the radar images are determined so that acceptable results can be achieved. The processing speed can be enhanced by performing the calculations in the time domain without the phase values, which are removed after upsampling. For comparison, the parameters are also estimated by performing random sampling in the data set. Although the reduced data set contained only 5% of the observed angles, the parameter optimization method is shown to operate correctly.

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“…The turntable is special and essential equipment in the application of radar [1], radio telescope [2,3], near ground laser communication terminal [4], and inertia navigation system [5,6], etc. The motor-drive servo turntable is widely used in the aerospace and aviation industries.…”

Section: Introductionmentioning

confidence: 99%

Identification and control of the motor‐drive servo turntable with the switched friction model

Zhang

Wang²,

Ninghao

2020

IET Electric Power Applications

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In this study, the identification and control scheme of the motor-drive servo turntable are researched to achieve accurate tracking. Firstly, the input-output identification experiments are designed and realised for the global model of motordrive servo turntable. The order of the global controlled auto-regressive model is determined by the Akaike information criterion, and the parameters are estimated by a particle swarm optimisation-cuckoo search algorithm. Secondly, the switched friction model is built combining the LuGre structure and the Stribeck curve. The switching conditions and the parameters of the switched friction model are determined though the input-output and the friction experiments. A constrained multi-objective optimisation problem is constructed for the parameter identification of the switched friction model. It is solved via a fuzzy comprehensive evaluation. Finally, the composite control strategy, in which the proportional-integral-derivative controller and model-based friction observer are combined, is proposed in the azimuth angle system of the motor-drive servo turntable. The trajectory tracking results in simulation and experiment illustrate the effectiveness of the proposed switched model, identification method, and composite control strategy.

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Measurement of the Rotation Center From the Received Signals for Ultrahigh-Resolution Radar Imaging

Cited by 7 publications

References 15 publications

Detection and Monitoring of People in Collapsed Buildings Using a Rotating Radar on a UAV

Detection and Monitoring of People in Collapsed Buildings Using a Rotating Radar on a UAV

Precision Near-Field Reconstruction in the Time Domain via Minimum Entropy for Ultra-High Resolution Radar Imaging

Identification and control of the motor‐drive servo turntable with the switched friction model

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