Meteorological remote sensing radar SCR simulation method
By constructing a three-dimensional antenna pattern and clutter power model, the problem of clutter influence in meteorological remote sensing radar was solved, improving the radar's detection performance evaluation and clutter suppression capabilities on different platforms, and providing theoretical basis and simulation support.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING RES INST OF TELEMETRY
- Filing Date
- 2025-12-31
- Publication Date
- 2026-05-08
AI Technical Summary
Under medium or large incident angle conditions, existing meteorological remote sensing radars suffer from severe clutter generated by surface backscattering, which significantly weakens their ability to detect precipitation and cloud structure, affecting radar performance evaluation and target identification.
A three-dimensional antenna pattern was constructed using a Taylor window function, a clutter power model within a surface area unit was established, and the SCR distribution curve was calculated using meteorological radar equations to evaluate the detection performance under different system configurations and observation geometry conditions.
It provides a theoretical basis for the design of meteorological remote sensing radar and clutter suppression strategies, improves the radar's detection performance evaluation capability under different platforms, and supports the design and clutter suppression of remote sensing platforms such as spaceborne, airborne, and shipborne.
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Abstract
Description
Technical Field
[0001] This invention relates to the field of aerospace systems technology, and in particular to a method for simulating the signal-to-clutter ratio (SCR) of meteorological remote sensing radar. Background Technology
[0002] Monitoring and forecasting severe weather events such as typhoons, rainstorms, and severe convective weather are core components of modern meteorological operations. Most extreme weather events are accompanied by clouds and precipitation; these events are not only important indicators of atmospheric dynamics but also play a crucial role in disaster prevention and mitigation as well as global climate change research. Meteorological remote sensing radar, as an important tool for acquiring information on atmospheric vertical structure, has been widely used in precipitation monitoring and cloud profile detection. To expand observational coverage, these systems typically employ a slant-scanning mode. However, under moderate or large incident angles, strong surface backscattering generates significant clutter, especially in the near-surface region. This clutter can mask the effective echoes of meteorological targets, severely weakening the radar's ability to detect precipitation and cloud structure.
[0003] For meteorological remote sensing radar, meteorological targets are usually located in the near-surface area, and the backscattered echo intensity from the surface is much higher than the echo from the meteorological target itself, resulting in strong surface clutter within the main antenna beam. Therefore, the impact of surface clutter must be fully considered when determining the performance parameters of meteorological remote sensing radar to quantitatively assess its influence on the detection capability of meteorological remote sensing radar. Summary of the Invention
[0004] The technical problem solved by this invention is to overcome the shortcomings of the prior art and propose a meteorological remote sensing radar SCR simulation method, which can evaluate the detection performance of the radar under different system configurations and observation geometry conditions, and provide theoretical basis and simulation support for the design of meteorological remote sensing radar and clutter suppression strategies.
[0005] The technical solution of this invention is: A meteorological remote sensing radar SCR simulation method includes the following steps: A three-dimensional antenna pattern under the required sidelobe is constructed using the Taylor window function; A clutter power model within a surface area unit of a meteorological remote sensing radar is constructed based on observation geometry. Based on the clutter power model within the surface area unit, a mapping relationship between the surface and the three-dimensional antenna pattern is established, and the total surface clutter power is calculated. Calculate the total echo power of meteorological targets based on meteorological radar equations; Based on the surface clutter power and the echo power of meteorological targets, the SCR distribution curves under different slant distances were calculated.
[0006] Preferably, constructing a three-dimensional antenna pattern under the required sidelobe using a Taylor window function includes the following steps: The beamwidth of the range pattern and azimuth pattern is calculated based on the antenna dimensions; the range pattern is a 90° slice pattern, and the azimuth pattern is a 0° slice pattern. Interpolation is used to calculate the beamwidth of slice patterns at different angles; Based on the beamwidth and sidelobe index at different angles, a slice pattern at different angles is constructed using a Taylor window function, thereby obtaining a three-dimensional antenna pattern under the required sidelobe.
[0007] The preferred clutter power model within a surface area unit of a meteorological remote sensing radar is as follows:
[0008] Where R is the distance between the ground surface area unit and the radar. The backscattering coefficient of the Earth's surface. To construct a 3D antenna pattern under the required sidelobe using the Taylor window function; For antenna gain, Let be the elevation angle in the antenna coordinate system. Let be the azimuth angle in the antenna coordinate system. This represents the peak power of the radar transmission. For radar wavelength, For land surface area units The antenna receives clutter power from within the surface area cell. Preferably, the surface area unit is represented as
[0009] Where H represents the platform height. For the Earth's radius, The azimuth is the unit angle of the Earth's surface projection. R is the slant range unit distance, and R is the distance between the ground surface area unit and the radar.
[0010] Preferably, the total power of surface clutter from meteorological remote sensing radar is , For antenna gain, This represents the peak power of the radar transmission. For radar wavelength, To construct a 3D antenna pattern under the required sidelobe using the Taylor window function; For antenna gain, Let be the elevation angle in the antenna coordinate system. Let R be the azimuth angle in the antenna coordinate system, R be the distance between the ground surface area unit and the radar, and H be the platform height. Let be the Earth's radius, and h be the radial resolution. It is the azimuth angle. Angle of incidence i The corresponding surface backscattering coefficient, The azimuth is the unit angle of the Earth's surface projection. This is the slant distance per unit.
[0011] Preferably, the total echo power of the meteorological target Where h is the radial resolution. For antenna gain, This represents the peak power of the radar transmission. For radar wavelength, To construct a 3D antenna pattern under the required sidelobe using the Taylor window function; Let be the elevation angle in the antenna coordinate system. Let be the azimuth angle in the antenna coordinate system. For radar reflectivity, The antenna beam angle R is the slant range unit distance, and R is the distance between the ground surface area unit and the radar.
[0012] Preferred, , , For the fixed angle of the antenna, For antenna beam angle, This is the azimuth angle of the beam's ground projection.
[0013] Preferably, the signal-to-clutter ratio at different slant distances satisfies
[0014] in, The total power of the meteorological target echo. This represents the total power of surface clutter.
[0015] Compared with the prior art, the present invention has the following advantages: (1) In view of the impact of clutter under different observation conditions, this invention proposes a meteorological remote sensing radar SCR simulation method. This method establishes the mapping relationship between the surface unit and the antenna three-dimensional radiation pattern, derives the surface clutter power model, and calculates the SCR distribution at different heights by combining the backscattering characteristics data of the ground and sea surface under different frequency bands and incident angles in existing studies.
[0016] (2) This invention establishes a surface clutter power model by analyzing the surface area and three-dimensional antenna pattern; and derives the SCR calculation formula for performance evaluation by taking the antenna pattern, observation geometry and surface backscattering characteristics as input.
[0017] (3) The method described in this invention can evaluate the detection performance of radar under different system configurations and observation geometry conditions, and provide theoretical basis and simulation support for the design of meteorological radars on spaceborne, airborne, and shipborne remote sensing platforms and clutter suppression strategies. Attached Figure Description
[0018] Figure 1 A schematic diagram of the surface clutter interference model of meteorological remote sensing radar, where (a) is a geometric schematic diagram of clutter influence, (b) is a two-dimensional projection, and (c) is a surface projection; Figure 2 W-band sea surface backscattering coefficients at different incident angles; Figure 3 Simulation model of radiation pattern based on Taylor window function; Figure 4 Meteorological target echo power curve; Figure 5 Surface clutter power curve; Figure 6 SCR simulation result curve. Detailed Implementation
[0019] The present invention will now be described in detail with reference to the accompanying drawings and embodiments.
[0020] To quantitatively assess the impact of surface clutter on the detection capabilities of meteorological remote sensing radar, this invention proposes a signal-to-clutter ratio (SCR) modeling and simulation method suitable for three-dimensional remote sensing observation scenarios, based on the key performance indicator SCR and addressing the impact of clutter under different observation conditions.
[0021] This invention includes the following steps: Step 1: Construct a 3D antenna pattern under the required sidelobe using the Taylor window function; Step 2: Construct a clutter power model within a surface area unit based on observation geometry. The meteorological radar surface clutter interference model is as follows: Figure 1 As shown.
[0022] The clutter power model within the surface area unit is as follows: , ; in This represents the total power of surface clutter. i Angle of incidence , The elevation angle represents the distance between the R radar and the ground surface area unit. Here, H is the Earth's surface backscattering coefficient, and H is the orbital altitude. The radius of the Earth; To construct a 3D antenna pattern under the required sidelobe using the Taylor window function; For antenna gain, Let be the elevation angle in the antenna coordinate system. Let be the azimuth angle in the antenna coordinate system. This represents the peak power of the radar transmission. This is the radar wavelength.
[0023] , .
[0024] Step 3: Based on the clutter power model within the surface area unit, establish the mapping relationship between the surface and the three-dimensional antenna pattern, and calculate the total surface clutter power.
[0025]
[0026] in This represents the total power of surface clutter. i Angle of incidence , The elevation angle represents the distance between the R radar and the ground surface area unit. Here, H is the Earth's surface backscattering coefficient, and H is the orbital altitude. The radius of the Earth; To construct a 3D antenna pattern under the required sidelobe using the Taylor window function; For antenna gain, Let be the elevation angle in the antenna coordinate system. Let be the azimuth angle in the antenna coordinate system. This represents the peak power of the radar transmission. This is the radar wavelength.
[0027] Step 4: Based on the meteorological radar equations, calculate the total scattering power of particles per unit volume of the meteorological target. The total power of the meteorological target echo after integration is Where h is the radial resolution; Step 5: Construct a 3D antenna pattern under the required sidelobes using a Taylor window function. Combine the total surface clutter power with the echo power of meteorological targets to obtain the SCR distribution curve. Calculate the SCR distribution curve for different slant ranges. R The following is a mismatch ratio .
[0028] Example: In this embodiment, the specific parameters are set as follows: aircraft orbital altitude 5km, antenna aperture 0.35m, transmission signal frequency 94GHz, distance resolution 250m, slant range observation range 0~5.5km, pulse repetition frequency 4000Hz, maximum gain 47dBi, transmission power 200W, incident angle 40°, and slant range sampling interval 100m.
[0029] Step 1: Construct a three-dimensional antenna pattern with -25dB sidelobes using the Taylor window function; Step 2: Construct a clutter power model within a surface area unit based on observation geometry. The meteorological radar surface clutter interference model is as follows: Figure 1 As shown. Based on the parameter settings of this embodiment, the sea surface backscattering coefficients at different incident angles in the W-band can be obtained, such as... Figure 2 As shown.
[0030] Step 3: Based on the clutter power model within the surface area unit, establish the mapping relationship between the surface and the antenna pattern. Figure 3 This is a three-dimensional antenna pattern model constructed using a Taylor window.
[0031] Step 4: Based on the meteorological radar equation, calculate the total echo power of the meteorological target and obtain the echo power curve. Figure 4 The echo power curve of a cloud target at -30dBZ.
[0032] Step 5, Figure 5 The surface clutter power curve is obtained by combining the total surface clutter power with the echo power of meteorological targets. The SCR distribution curve is obtained when the incident angle is 40°. Figure 6 As shown, it can be concluded that under the condition of a sidelobe of -25dB in the pitch direction, the signal-to-clutter ratio is greater than 0dB at a vertical height of 150m or more. Near a vertical height of 1200m, 1-2 resolution cells will be affected by strong clutter at the point below the aircraft, and there is no clutter at a slant distance of 2km or more.
[0033] This invention is applicable to SCR modeling and simulation of observation scenarios on spaceborne, airborne, and shipborne remote sensing platforms, providing theoretical basis and simulation support for performance evaluation, antenna parameter design, and clutter suppression strategies of meteorological remote sensing radar systems.
[0034] The contents not described in detail in this specification are common knowledge to those skilled in the art.
Claims
1. A meteorological remote sensing radar SCR simulation method, characterized in that, Includes the following steps: A three-dimensional antenna pattern under the required sidelobe is constructed using the Taylor window function; A clutter power model within a surface area unit of a meteorological remote sensing radar is constructed based on observation geometry. Based on the clutter power model within the surface area unit, a mapping relationship between the surface and the three-dimensional antenna pattern is established, and the total surface clutter power is calculated. Calculate the total echo power of meteorological targets based on meteorological radar equations; Based on the surface clutter power and the echo power of meteorological targets, the SCR distribution curves under different slant distances were calculated.
2. The meteorological remote sensing radar SCR simulation method as described in claim 1, characterized in that, Constructing a 3D antenna pattern under the required sidelobe using the Taylor window function includes the following steps: The beamwidth of the range pattern and azimuth pattern is calculated based on the antenna dimensions; the range pattern is a 90° slice pattern, and the azimuth pattern is a 0° slice pattern. Interpolation is used to calculate the beamwidth of slice patterns at different angles; Based on the beamwidth and sidelobe index at different angles, a slice pattern at different angles is constructed using a Taylor window function, thereby obtaining a three-dimensional antenna pattern under the required sidelobe.
3. The meteorological remote sensing radar SCR simulation method as described in claim 1, characterized in that, The clutter power model within a surface area unit of a meteorological remote sensing radar is as follows: 。 4. Among them, R is the distance between the ground surface area unit and the radar. The backscattering coefficient of the Earth's surface. To construct a 3D antenna pattern under the required sidelobe using the Taylor window function; For antenna gain, Let be the elevation angle in the antenna coordinate system. Let be the azimuth angle in the antenna coordinate system. This represents the peak power of the radar transmission. For radar wavelength, For land surface area units The antenna receives clutter power from within the surface area cell.
5. The meteorological remote sensing radar SCR simulation method as described in claim 1, characterized in that, The surface area unit is represented as Where H represents the platform height. For the Earth's radius, The azimuth is the unit angle projected onto the Earth's surface. R is the slant range unit distance, and R is the distance between the ground surface area unit and the radar.
6. The meteorological remote sensing radar SCR simulation method as described in claim 1, characterized in that, The total power of surface clutter from meteorological remote sensing radar is , For antenna gain, This represents the peak power of the radar transmission. For radar wavelength, To construct a 3D antenna pattern under the required sidelobe using the Taylor window function; For antenna gain, Let be the elevation angle in the antenna coordinate system. Let R be the azimuth angle in the antenna coordinate system, R be the distance between the ground surface area unit and the radar, and H be the platform height. Let be the Earth's radius, and h be the radial resolution. It is the azimuth angle. Angle of incidence i The corresponding surface backscattering coefficient, The azimuth is the unit angle projected onto the Earth's surface. This is the slant distance per unit.
7. The meteorological remote sensing radar SCR simulation method as described in claim 1, characterized in that, Total echo power of meteorological targets Where h is the radial resolution. For antenna gain, This represents the peak power of the radar transmission. For radar wavelength, To construct a 3D antenna pattern under the required sidelobe using the Taylor window function; Let be the elevation angle in the antenna coordinate system. Let be the azimuth angle in the antenna coordinate system. For radar reflectivity, For the antenna beam angle, R is the slant range unit distance, and R is the distance between the ground surface area unit and the radar.
8. A meteorological remote sensing radar SCR simulation method as described in claim 3, 5, or 6, characterized in that, , , For the fixed angle of the antenna, For antenna beam angle, This is the azimuth angle of the beam's ground projection.
9. The meteorological remote sensing radar SCR simulation method as described in claim 1, characterized in that, The signal-to-clutter ratio at different slant distances satisfies in, The total power of the meteorological target echo. This represents the total power of surface clutter.