S-Band Doppler Wave Radar System

Chen, Zezong; Wang, Zihan; Chen, Xi; Zhao, Chen; Xie, Fei; He, Chao

doi:10.3390/rs9121302

Cited by 21 publications

(7 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the basis of S-band Microwave Ocean Remote Sensor (MORSE) [52], we developed Radio Doppler Velocimetry (RDV) for river hydrological parameter measurement. The radar operates in the S-band at VV-polarization and frequency modulated interrupted continuous wave (FMICW) is used to achieve a high range of resolution, a long detection range, and the time division multiplexing mode for antennas.…”

Section: Radarmentioning

confidence: 99%

River Discharge Inversion Algorithm Based on the Surface Velocity of Microwave Doppler Radar

Chen,

Wang,

Zhao

et al. 2023

Remote Sensing

Self Cite

View full text Add to dashboard Cite

Non-contact methods, which are of great significance to the measurement of river discharge, can not only improve the efficiency of measurement but can also ensure the safety of equipment and personnel. However, owing to their inherent drawbacks such as the requirement of riverbed topography measurements and the difficulty in determining hydrological parameters such as equivalent roughness height, velocity index, etc., there are still challenges for measuring river discharge with high levels of efficiency and accuracy using non-contact methods. To overcome the aforementioned challenges, a new river discharge inversion method is proposed in this paper. In this method, vertical velocities are divided into inner and outer region velocities which can be described by the logarithmic law and the parabolic law, respectively. Applying the river surface velocities collected by microwave Doppler radar and the vertical velocity distributions, the water depths are estimated according to the continuity of the vertical velocities and the shear stresses, and then, the river discharges are obtained by the velocity–area method. The proposed method not only has a simple formula but also comprehensively considers the influence of different hydrological conditions, making it suitable for different river widths and water depths. In this paper, surface velocities collected by microwave Doppler radar on the Yangtze River and the San Joaquin River are used to invert the river discharge, and the results show that for wide–shallow, wide–deep, and narrow–shallow river conditions, the mean percent error (MPE) values of the discharges invertedby the proposed method are 3.91%, 3.82%, and 3.6%, respectively; the root mean square error (RMSE) values are 4.53%, 5.19%, and 4.81%, respectively; and the maximum percent error (MaPE) is less than 15%. The results prove that the proposed method can invert the river discharge with high efficiency and high accuracy under different river widths and water depths without measuring water depth in advance, making it is possible to automatically measure the river discharge in real time.

show abstract

Section: Radarmentioning

confidence: 99%

River Discharge Inversion Algorithm Based on the Surface Velocity of Microwave Doppler Radar

Chen,

Wang,

Zhao

et al. 2023

Remote Sensing

Self Cite

View full text Add to dashboard Cite

show abstract

“…The radar operating frequency ranges from 2.75 GHz to 2.95 GHz. The radar adopts the linear frequency modulation interrupted continuous wave (LFMICW) waveform to be monostatic [10]. In order to obtain the full wavenumber directional spectrum, the radar is equipped with six standard horn-shaped antennas which have horizontal beam widths of 30 degrees.…”

Section: Shipboard Coherent S-band Wave Radarmentioning

confidence: 99%

“…In contrast to noncoherent radars, coherent radars do not need calibration. Typical coherent radar systems include the SM-050 MK III from the Norwegian MIROS and the shore-based S-band Doppler wave radar developed by the Radio Ocean Remote Sensing (RORSE) Laboratory at Wuhan University, China [9,10]. The SM-050 MK III radar is a pulsed radar and operates in the C-band [11].…”

Section: Introductionmentioning

confidence: 99%

Wave Height and Wave Period Derived from a Shipboard Coherent S-Band Wave Radar in the South China Sea

Chen

Zhao

et al. 2019

Remote Sensing

View full text Add to dashboard Cite

To expand the scope of ocean wave observations, a shipboard coherent S-band wave radar system was developed recently. The radar directly measures the wave orbital velocity from the Doppler shift of the received radar signal. The sources of this Doppler shift are analyzed. After removing the Doppler shifts caused by the ocean current and platform, the radial velocities of water particles of the surface gravity waves are retrieved. Subsequently, the wavenumber spectrum can be obtained based on linear wave theory. Later, the significant wave height and wave periods (including mean wave period and peak wave period) can be calculated from the wavenumber spectrum. This radar provides a calibration-free way to measure wave parameters and is a novel underway coherent microwave wave radar. From 9 September to 11 September, 2018, an experiment involving radar-derived and buoy-measured wave measurements was conducted in the South China Sea. The Doppler spectra obtained when the ship was in the state of navigation or mooring indicated that the quality of the radar echo was fairly good. The significant wave heights and wave periods measured using the radar are compared with those obtained from the wave buoy. The correlation coefficients of wave heights and mean wave periods between these two instruments both exceed 0.9 while the root mean square differences are respectively less than 0.15 m and 0.25 s, regardless of the state of motion of the ship. These results indicate that this radar has the capability to accurately measure ocean wave heights and wave periods.

show abstract

“…In-situ measurements such as wave buoys [1] are usually regarded as "sea-truth" [2]. With the development of remote sensing technology, radar and other remote sensing Since the signals emitted by coherent microwave radar have all determined phase angles, this feature provides the ability to obtain the radial Doppler velocity of the water particle [2], [8]- [11]. The direct relationship between the radial velocity and wave height spectrum can be used to retrieve ocean wave parameters such as significant wave height (H s ) and mean wave period (T av ) [12], [13].…”

Section: Introductionmentioning

confidence: 99%

“…Hwang et al [22] used a high-pass filter with a cutoff frequency of 0.04 Hz to filter out part of the "Group-Line" energy, but the wave period was overestimated. Chen et al [8] set the cutoff frequency to 0.05 Hz and obtained a good wave height result, but the wave period was still overestimated. Different from this method of retaining part of the "Group-Line," Carrasco et al [23] filtered out all the "Group-Line" and high-order harmonic components and only kept the dominant wave energy on the dispersion relation.…”

Section: Introductionmentioning

confidence: 99%

Inversion of Wave Parameters With Shore-Based Coherent $S$-Band Radar Using Quasi-Binary Variational Mode Decomposition

Hu,

Chen,

Zhao

et al. 2024

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

Self Cite

View full text Add to dashboard Cite

Coherent microwave radar utilizes the direct relationship between the orbital wave velocity and the wave height spectrum to retrieve wave parameters. However, due to the broken wave and its evolution, the "Group-Line" is introduced in the radar-obtained wavenumber-frequency spectrum, and the dominant wave energy is reduced. Many methods have proposed to remove the "Group-Line" in the wavenumber-frequency spectrum, but these methods can only remove low-frequency energy and fail to compensate for the dominant wave energy. To solve this problem, a method for wave parameter inversion using the quasibinary variational mode decomposition (QB-VMD) is proposed. Firstly, the QB-VMD decomposes the spatial-temporal radial velocity series, and a series of modes are obtained, including the "Group-Line" and dominant wave modes. Secondly, the "Group-Line" mode is discarded, and the dominant wave mode is compensated appropriately to reconstruct the spatial-temporal radial velocity series. Finally, the wave parameters are retrieved according to the reconstructed spatial-temporal radial velocity series. The proposed method is verified by simulation. In addition, this paper uses on 8-day data set collected by the coherent Sband radar deployed at the Beishuang island for analysis. The significant wave height and mean wave period are retrieved from the data set. The wave parameters estimated by the proposed method are compared with the buoy results. The correlation coefficients are 0.97 and 0.80, and the root means square errors are 0.12 m and 0.49 s, respectively. The results show that the proposed method can invert wave parameters using the coherent S-band radar with a reasonable performance.

show abstract

S-Band Doppler Wave Radar System

Cited by 21 publications

References 27 publications

River Discharge Inversion Algorithm Based on the Surface Velocity of Microwave Doppler Radar

River Discharge Inversion Algorithm Based on the Surface Velocity of Microwave Doppler Radar

Wave Height and Wave Period Derived from a Shipboard Coherent S-Band Wave Radar in the South China Sea

Inversion of Wave Parameters With Shore-Based Coherent $S$-Band Radar Using Quasi-Binary Variational Mode Decomposition

Contact Info

Product

Resources

About