Radar Target and Moving Clutter Separation Based on the Low-Rank Matrix Optimization

Yin, Jiapeng; Unal, C.M.H.; Schleiss, Marc; Russchenberg, H.W.J.

doi:10.1109/tgrs.2018.2837051

Cited by 15 publications

(8 citation statements)

References 40 publications

(42 reference statements)

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“…These artifacts not only affect the reflectivity, but also the Doppler and polarimetric measurements. The exact phenomena responsible for producing the artifacts in the radar data remain unknown at this point, but the artifact features have been exhaustively studied in [11], [24], [25], and artifacts can be referred to as narrow-band moving clutter. It is noted that such phenomena are not unique to IDRA, but also for the high-resolution polarimetric Doppler X-band radars such as MESEWI [26], and the Bonn X-band radar systems [27].…”

Section: A Idra Measurementsmentioning

confidence: 99%

Clutter Mitigation Based on Spectral Depolarization Ratio for Dual-Polarization Weather Radars

Yin

Chen

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In this paper, a spectral polarimetric filter named moving spectral depolarization ratio (MsDR) filter is proposed to mitigate the effects of clutter and noise for dual-polarization weather radar without cross-polar measurements. The filter is based on a spectral polarimetric variable termed as spectral depolarization ratio (sDR). sDR can be estimated by any polarimetric weather radar, making the MsDR filter widely applicable. Taking advantages of the spectral polarimetric features and the range-Doppler continuity of precipitation, the MsDR filter is implemented in the range-Doppler spectrogram. The performance of the MsDR filter is assessed using data collected by 1) an X-band full-polarimetric radar interfered by narrow-band clutter (both stationary and moving) and sidelobe wind turbine clutter; 2) a C-band operational dual-polarization radar affected by radio frequency interference. In addition, the implementation of the MsDR filter is straightforward, and the computational complexity is relatively low. Hence, the MsDR filter has great potential to be applied in real-time for operational radar systems at different frequencies.Index Terms-Dual-polarization weather radar, clutter mitigation, spectral depolarization ratio, wind turbine clutter, narrowband moving clutter, radio frequency interference.

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Section: A Idra Measurementsmentioning

confidence: 99%

Clutter Mitigation Based on Spectral Depolarization Ratio for Dual-Polarization Weather Radars

Yin

Chen

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…The matrix corresponds to an unitary matrix whose columns are termed as right singular vectors. Subsequently, with the use of low-rank approximation [37]- [39], is approximated as with largest singular values as follows:…”

Section: Ifmentioning

confidence: 99%

Robust Detection of Presence of Individuals in an Indoor Environment Using IR-UWB Radar

2020

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In this paper, we propose a robust detection method to determine the presence of individuals in an indoor environment by exploiting an impulse-radio ultra-wideband (IR-UWB) radar. Detection of the presence of individuals in an indoor environment using IR-UWB is not a trivial problem because real indoor environments provide heavy clutter components and spurious ones due to multipath effects. The study mainly discusses two difficulties involved in detecting an individual in an indoor environment, namely, how to reduce the clutter in an indoor environment and how to detect a very low radar cross section (RCS) target, i.e., an individual lying down. To reduce clutter components in indoor environments, we investigated several clutter reduction techniques in terms of detecting a standing individual and an individual lying down. However, even after clutter reduction, detection of an individual lying down continues to pose a challenge. Thus, we devised a novel two-stage detection scheme that first involves detection in the range domain, and then in the frequency domain, thereby resulting in good detection performance in terms of a high detection rate and a low false alarm rate. The proposed method was demonstrated by experiments in indoor environments, and the results indicate that its performance is robust in various scenarios. INDEX TERMS Human detection, IoT sensor, smart-home, ultra-wideband (UWB) radar, vital signs.

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“…In the Cabauw Experimental Site for Atmospheric Research (CESAR) observatory, The Netherlands, there are two FMCW radars, one S-band TARA and one X-band IRCTR Drizzle Radar (IDRA) [11], [12]. The two radars were designed by the Delft University of Technology for atmospheric research, and their measurements are displayed online in real-time.…”

Section: B Calibration Configurationmentioning

confidence: 99%

UAV-Aided Weather Radar Calibration

Yin

Hoogeboom

Unal

et al. 2019

IEEE Trans. Geosci. Remote Sensing

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Weather radar is well recognized as an effective sensor for obtaining the microphysical and dynamical properties of precipitation at high spatial and temporal resolution. Radar calibration is one of the most important prerequisites for achieving accurate observations. In this article, a portable, cost-effective and repeatable radar calibration technique, namely, unmanned aerial vehicle (UAV)-aided radar calibration, is proposed. A UAV serves as the stable aerial platform carrying a metal sphere, flying over the radar illumination areas to complete the calibration process. The flying routine of the UAV can be preprogrammed, and thus, the antenna pattern regarding different elevation and azimuth angles can be retrieved. To obtain the position of the sphere, the real-time single-frequency precise point positioning-type global navigation satellite system solution is developed. In addition, the radar constant is calculated in the range-Doppler domain, and only the data where the metal sphere separates from clutter and other objects are selected. The S-band polarimetric Doppler transportable atmospheric radar (TARA) is used in the calibration campaign. The experiments demonstrate the following results: 1) antenna pointing calibration can be completed and 2) antenna pattern can be retrieved and weather radar constant can be accurately calculated.

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Radar Target and Moving Clutter Separation Based on the Low-Rank Matrix Optimization

Cited by 15 publications

References 40 publications

Clutter Mitigation Based on Spectral Depolarization Ratio for Dual-Polarization Weather Radars

Clutter Mitigation Based on Spectral Depolarization Ratio for Dual-Polarization Weather Radars

Robust Detection of Presence of Individuals in an Indoor Environment Using IR-UWB Radar

UAV-Aided Weather Radar Calibration

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