CN111044984B - Radar performance detection method based on power distribution - Google Patents

Radar performance detection method based on power distribution Download PDF

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Publication number
CN111044984B
CN111044984B CN202010017982.0A CN202010017982A CN111044984B CN 111044984 B CN111044984 B CN 111044984B CN 202010017982 A CN202010017982 A CN 202010017982A CN 111044984 B CN111044984 B CN 111044984B
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radar
reflectivity factor
detection
reflectivity
performance
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CN111044984A (en
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刘光普
梁莺
任雍
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Fujian Atmospheric Detection Technology Support Center
Fujian Institute Of Meteorological Sciences
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Fujian Atmospheric Detection Technology Support Center
Fujian Institute Of Meteorological Sciences
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/40Means for monitoring or calibrating
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The invention relates to a radar detection performance detection method based on power distribution, which is characterized in that the probability distribution condition of radar reflectivity factors in a period of time is counted and compared with reflectivity factor distribution curves of the radar in different detection modes, and if the radar can detect the reflectivity factor value corresponding to the radar reflectivity factor distribution curve or weaker reflectivity factor value at the same height, the performance of the radar meets or is designed; otherwise, the performance of the radar is insufficient. Thereby realizing performance detection of the radar in use.

Description

Radar performance detection method based on power distribution
Technical Field
The invention relates to the field of cloud radars, in particular to a radar performance detection method based on power distribution.
Background
The radar has the characteristics of strong anti-interference capability, high resolution and the like, and is widely applied to the military and civil fields such as distance measurement, speed measurement, angle measurement, tracking and the like. In general, the merits of radar detection performance and the variation of the performance are very important for the accuracy of radar observation data, and if the radar detection performance does not meet the design requirement, the radar observation data effect is poor. In addition, since the radar is a device for long-term observation operation, the performance parameters of the device change during the observation operation, and thus, a method for periodically checking the radar performance using the radar observation data is also required for long-term observation. However, there is currently no method for detecting radar performance in use.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a radar performance detection method based on power distribution, which can perform performance detection on a radar in use.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a radar detection performance detection method based on power distribution, comprising:
s1, counting the probability density distribution of reflectivity factors of the radar in a counting time period;
s11, setting a radar reflectivity factor range, and segmenting;
s12, setting a radar detection mode, transmitting a pulse signal by a radar, and sampling according to a set time interval to obtain radar pulse echoes under all height values;
s13, repeating the step S12 until the statistical time period is over, and forming probability distribution of radar reflectivity factors according to the number of all radar pulse echoes in each reflectivity factor segmentation interval in the statistical time period;
s2, obtaining reflectivity factor distribution curves of the radar in different detection modes;
s3, comparing the reflectivity factor distribution curve of the radar with probability distribution of the radar reflectivity factor in a statistical time period;
if, at the same altitude, the radar is able to detect a reflectivity factor value corresponding to the radar reflectivity factor profile or a weaker reflectivity factor value, then the performance of the radar meets or is due to the design; otherwise, the performance of the radar is insufficient.
The detection modes of the radar comprise a mid-cloud detection mode, a boundary cloud detection mode, a cloud detection mode and a precipitation detection mode.
The reflectivity factor range is set according to radar detection performance.
The reflectivity factor distribution curve of the radar in different modes is obtained according to the following expression:
wherein Z is radar reflectivity factor, R is radar acting distance, pr is receiver input signal power, pt is radar transmitter module peak power, G is radarReaching the antenna gain, theta is the horizontal beam width of the radar antenna,for the vertical beam width of the radar antenna, τ is the emission pulse width, c is the light velocity, λ is the radar working wavelength, L is the radar system loss, kr is the atmospheric double-pass transmission loss, |K| 2 The constant, ψ, is the filling factor, determined for the dielectric properties of the scattering particles.
After the scheme is adopted, the probability distribution situation of the radar reflectivity factors in a period of time is counted and compared with the reflectivity factor distribution curves of the radar in different detection modes, and if the radar can detect the reflectivity factor value corresponding to the radar reflectivity factor distribution curve or weaker reflectivity factor value at the same height, the performance of the radar meets or is designed; otherwise, the performance of the radar is insufficient. Thereby realizing performance detection of the radar in use.
Drawings
FIG. 1 is a flow chart of a detection method of the present invention;
FIG. 2 is a graph showing a 6 month radar power distribution according to an embodiment of the present invention;
FIG. 3 is a 7 month radar power distribution diagram of an embodiment of the present invention.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the illustrated embodiments are provided for illustration only and are not intended to limit the scope of the present invention.
As shown in fig. 1, the invention discloses a radar detection performance detection method based on power distribution, which comprises the following steps:
s1, counting the probability density distribution of the reflectivity factors of the radar in a counting time period.
S11, setting a radar reflectivity factor range, and segmenting;
the radar reflectivity factor is determined by the detection performance (radar parameters) of the radar. When the radar reflectivity factor range is segmented, the radar reflectivity factor range needs to be segmented at equal intervals, and the step-like value of the segmentation can be set to be 1dBZ or 2dBZ or other stepping values according to actual conditions.
S12, setting a radar detection mode, transmitting a pulse signal by a radar, sampling according to a set time interval, and acquiring a radar pulse echo under a corresponding height value;
the radar detection modes generally comprise a mid-cloud detection mode, a boundary cloud detection mode, a cloud rolling detection mode and a precipitation detection mode, and pulse widths of pulse signals emitted by the radar are different in different modes.
The altitude value is a value of altitude within a range of altitudes of the radar. The radar pulse echoes are sampled at set time intervals, i.e. the altitude values are taken at equal altitude intervals.
S13, repeating the step S12 until the statistical time period is over, and forming probability distribution of radar reflectivity factors according to the number of all radar pulse echoes in each reflectivity factor segmentation interval in the statistical time period.
S2, obtaining reflectivity factor distribution curves of the radar in different detection modes;
the reflectivity factor distribution curve of the radar in different modes is obtained according to the following expression:
wherein Z is radar reflectivity factor, R is radar acting distance, pr is receiver input signal power, pt is radar transmitter module peak power, G is radar antenna gain, θ is radar antenna horizontal beam width,for the vertical beam width of the radar antenna, τ is the emission pulse width, c is the light velocity, λ is the radar working wavelength, L is the radar system loss, kr is the atmospheric double-pass transmission loss, |K| 2 The constant, ψ, is the filling factor, determined for the dielectric properties of the scattering particles. The different detection modes of the radar differ in terms of parameters such as the transmit pulse width τ.
S3, comparing the reflectivity factor distribution curve of the radar with probability distribution of the radar reflectivity factor in a statistical time period;
if, at the same altitude, the radar is able to detect a reflectivity factor value corresponding to the radar reflectivity factor profile or a weaker reflectivity factor value, then the performance of the radar meets or is due to the design; otherwise, the performance of the radar is insufficient.
The radar reflectivity factor probability density distribution is compared with the radar reflectivity factor probability distribution curves in different detection modes, if the radar fails or some components are out of order, under the same height, the radar cannot detect the reflectivity factor value corresponding to the radar parameter curve in the corresponding mode, namely the radar reflectivity factor probability distribution is arranged on the right side of the radar different detection mode curves.
In order to make the present invention more detailed, a specific embodiment will be described below.
The statistical time period in this example is measured in one month, the radar reflectivity factor range is (-60 dBZ,40 dBZ), and the step-by-step value is 1dBZ.
As shown in fig. 2 and 3, the present embodiment calculates the radar reflectivity factor probability distribution for 6 months and 7 months, respectively. Comparing the reflectivity factor distribution curves of the radar in the middle cloud detection mode, the boundary cloud detection mode, the cloud rolling detection mode and the precipitation detection mode with the radar reflectivity factor probability distribution of 6 months and 7 months, wherein partial points in the radar reflectivity factor probability distribution are positioned on each reflectivity factor distribution curve or are positioned on the left side of each reflectivity factor distribution curve, so that the detection performance of the radar meets the requirements.
In summary, the key point of the invention is that the radar performance is satisfied or designed by counting the probability distribution of the radar reflectivity factor in a period of time and comparing the probability distribution with the reflectivity factor distribution curves of the radar in different detection modes, if the radar can detect the reflectivity factor value corresponding to the radar reflectivity factor distribution curve or weaker reflectivity factor value at the same height; otherwise, the performance of the radar is insufficient. Thereby realizing performance detection of the radar in use.
The foregoing embodiments of the present invention are not intended to limit the technical scope of the present invention, and therefore, any minor modifications, equivalent variations and modifications made to the above embodiments according to the technical principles of the present invention still fall within the scope of the technical proposal of the present invention.

Claims (3)

1. A radar detection performance detection method based on power distribution is characterized in that: the detection method comprises the following steps:
s1, counting the probability density distribution of reflectivity factors of the radar in a counting time period;
s11, setting a radar reflectivity factor range, and segmenting;
s12, setting a radar detection mode, transmitting a pulse signal by a radar, and sampling according to a set time interval to obtain a radar pulse echo under a corresponding height value;
s13, repeating the step S12 until the statistical time period is over, and forming probability distribution of radar reflectivity factors according to the number of all radar pulse echoes in each reflectivity factor segmentation interval in the statistical time period;
s2, obtaining reflectivity factor distribution curves of the radar in different detection modes;
the reflectivity factor distribution curve of the radar in different modes is obtained according to the following expression:
wherein Z is radar reflectivity factor, R is radar acting distance, and P r For the receiver to input signal power, P t Peak power for the radar transmitter module, G is radar antenna gain, θ is radar antenna horizontal beamwidth,for the vertical beam width of the radar antenna, τ is the emission pulse width, c is the speed of light, λ is the radar working wavelength, L is the radar system loss, K r For the atmospheric double pass transmission loss, |K| 2 A constant, ψ, which is a filling factor determined for the dielectric properties of the scattering particles;
s3, comparing the reflectivity factor distribution curve of the radar with probability distribution of the radar reflectivity factor in a statistical time period;
if the radar is able to detect a reflectivity factor value corresponding to the radar reflectivity factor profile or a weaker reflectivity factor value at the same altitude, then the performance of the radar meets or is better than the design; otherwise, the performance of the radar is insufficient.
2. The power distribution-based radar detection performance detection method as claimed in claim 1, wherein: the detection modes of the radar comprise a mid-cloud detection mode, a boundary cloud detection mode, a cloud detection mode and a precipitation detection mode.
3. The power distribution-based radar detection performance detection method as claimed in claim 1, wherein: the reflectivity factor range is set according to radar detection performance.
CN202010017982.0A 2020-01-08 2020-01-08 Radar performance detection method based on power distribution Active CN111044984B (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09101365A (en) * 1995-10-04 1997-04-15 Hitachi Ltd Method for calibrating rainfall
US6061013A (en) * 1995-12-26 2000-05-09 Thomson-Csf Method for determining the precipitation ratio by double polarization radar and meteorological radar for implementing such process
JP2005265535A (en) * 2004-03-17 2005-09-29 Mitsubishi Electric Corp Radar testing method
CN102890272A (en) * 2012-11-05 2013-01-23 中国航天科工集团第二研究院二十三所 Method for processing millimeter wave cloud radar signal
CN105866751A (en) * 2016-03-22 2016-08-17 中国科学院大气物理研究所 Metallic ball calibration method for X-band solid dual-polarization weather radar
CN106845018A (en) * 2017-02-27 2017-06-13 中国民航大学 The analysis that wind power plant influences on weather radar rainfall and quantitative evaluation method
CN110095760A (en) * 2019-04-24 2019-08-06 中国气象局气象探测中心 A kind of test device and method of weather radar

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09101365A (en) * 1995-10-04 1997-04-15 Hitachi Ltd Method for calibrating rainfall
US6061013A (en) * 1995-12-26 2000-05-09 Thomson-Csf Method for determining the precipitation ratio by double polarization radar and meteorological radar for implementing such process
JP2005265535A (en) * 2004-03-17 2005-09-29 Mitsubishi Electric Corp Radar testing method
CN102890272A (en) * 2012-11-05 2013-01-23 中国航天科工集团第二研究院二十三所 Method for processing millimeter wave cloud radar signal
CN105866751A (en) * 2016-03-22 2016-08-17 中国科学院大气物理研究所 Metallic ball calibration method for X-band solid dual-polarization weather radar
CN106845018A (en) * 2017-02-27 2017-06-13 中国民航大学 The analysis that wind power plant influences on weather radar rainfall and quantitative evaluation method
CN110095760A (en) * 2019-04-24 2019-08-06 中国气象局气象探测中心 A kind of test device and method of weather radar

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"Analysis of Measured Sea clutter Power Distribution based on Goodness-of-Fit Tests";Xiaoyan Du et al.;《IEEE》;第1-3页 *
"基于SYSCAL方法的天气雷达反射率因子在线标定技术";秦建峰等;《气象科技》;第45卷(第6期);第962-967页 *

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