CN112526464A - Method for estimating azimuth beam width of shore-based multi-channel radar based on measured data - Google Patents

Method for estimating azimuth beam width of shore-based multi-channel radar based on measured data Download PDF

Info

Publication number
CN112526464A
CN112526464A CN202011273033.5A CN202011273033A CN112526464A CN 112526464 A CN112526464 A CN 112526464A CN 202011273033 A CN202011273033 A CN 202011273033A CN 112526464 A CN112526464 A CN 112526464A
Authority
CN
China
Prior art keywords
radar
azimuth
beam width
angle
phase
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202011273033.5A
Other languages
Chinese (zh)
Other versions
CN112526464B (en
Inventor
万晋通
张玉石
黎鑫
尹雅磊
张金鹏
李清亮
赵鹏
许心瑜
夏晓云
张浙东
李慧明
尹志盈
朱秀芹
李善斌
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Institute of Radio Wave Propagation CETC 22 Research Institute
Original Assignee
China Institute of Radio Wave Propagation CETC 22 Research Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Institute of Radio Wave Propagation CETC 22 Research Institute filed Critical China Institute of Radio Wave Propagation CETC 22 Research Institute
Priority to CN202011273033.5A priority Critical patent/CN112526464B/en
Publication of CN112526464A publication Critical patent/CN112526464A/en
Application granted granted Critical
Publication of CN112526464B publication Critical patent/CN112526464B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO 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
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/40—Means for monitoring or calibrating
    • G01S7/4004—Means for monitoring or calibrating of parts of a radar system
    • G01S7/4026—Antenna boresight

Abstract

The invention discloses a method for estimating the azimuth beam width of a shore-based multi-channel radar based on measured data, which comprises the following steps: step 1, selecting a strong scatterer target for estimating azimuth beam width: step 2, calculating the azimuth angle of the radar irradiated target
Figure DEST_PATH_IMAGE002
And a pitch angle
Figure DEST_PATH_IMAGE004
: step 3, setting radar phase scanning mode parameters: step 4, processing phase scanning data: and 5, estimating the 3dB beam width. The method for estimating the azimuth beam width of the shore-based multi-channel radar based on the measured data realizes the external field calibration of the azimuth beam width of the radar by using the mutual scanning function of the sea surface ship target and the multi-channel radar, greatly reduces the cost of the external field test, can carry out the external field calibration on the azimuth beam width of the radar in real time, and is accurate for the multi-channel radarThe measurement provides powerful guarantee.

Description

Method for estimating azimuth beam width of shore-based multi-channel radar based on measured data
Technical Field
The invention belongs to the field of multi-channel radar beam width estimation, and particularly relates to a method for estimating the azimuth beam width of a shore-based multi-channel radar based on measured data in the field.
Background
The beam width is an important technical index of radar antenna design, the beam width of the antenna can be measured in a microwave darkroom, but a feeder line used by the radar in the test process is different from a feeder line used by an actual radar of the whole machine, particularly a multi-channel radar has large volume, a control system and a feeder line system are complex, the multi-channel radar is inconvenient to place in the darkroom, and the beam width of the antenna of the radar of the whole machine needs to be calibrated and measured again.
For radar beam width calibration, foreign calibration tests are mostly adopted by related scholars at home and abroad: namely, a receiver is adopted to fix an irradiation direction along a radar, and a radar echo signal is movably received, so that the direction of the radar or a pitching single-way antenna directional diagram is measured; or a receiver is placed in the antenna irradiation direction or the pitching center, and the radar performs mechanical scanning, so that the radar direction or the pitching single-way antenna directional diagram is calibrated. The external calibration test principle is simple, but the problems of difficult calibration field selection and high test cost are faced, and a method for directly obtaining the antenna beam width calibration through the measured data is urgently needed.
Based on the modulation principle that radar echo data is subjected to a two-way directional diagram of a receiving and transmitting antenna, the wave beam width of a multi-channel radar can be estimated by using measured data, but still the problems of how to replace a receiver echo signal by using an echo signal of a target scatterer, how to replace the mechanical scanning of the radar antenna by using a phase scanning working mode, how to process phase scanning echo data and the like are still faced, the research on the method of the wave beam width of the multi-channel radar antenna based on the measured data is developed, and a new thought can be provided for calibrating the wave beam width.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for estimating the azimuth beam width of a shore-based multi-channel radar based on measured data.
The invention adopts the following technical scheme:
the improvement of a method for estimating the azimuth beam width of a shore-based multi-channel radar based on measured data is that the method comprises the following steps:
step 1, selecting a strong scatterer target for estimating azimuth beam width:
the method comprises the following steps of acquiring information of passing or berthing ships in a sea area irradiated by a shore-based radar by using an automatic identification system AIS of the ships, and selecting a non-cooperative target for estimating azimuth beam width based on the ship information, wherein the specific steps are as follows:
step 11, selecting a ship with the length of more than 100 meters and the width of more than 30 meters as a target ship for estimating the azimuth beam width by combining the radar irradiation azimuth range and the azimuth angle of the ship in the AIS;
step 12, judging whether the navigational speed of the ship selected in the step 11 is 0, if so, selecting the berthed ship as a measurement target, and if not, not selecting the ship;
step 2, calculating an azimuth angle phi and a pitch angle theta of the radar irradiated target:
calculating an azimuth angle phi required to be set when the normal of the radar antenna is aligned to a target by combining longitude and latitude information of a ship in the AIS and longitude and latitude information of a radar erection position; calculating a linear distance D between the radar antenna and a target, and calculating a pitch angle theta required to be set when a normal of the radar antenna is aligned with the target by combining a known radar erection height H, wherein arcsin (·) is an arcsine function;
Figure BDA0002778277320000021
step 3, setting radar phase scanning mode parameters:
based on the radar azimuth angle and the pitch angle calculated in the step 2, only the azimuth scanning center in the radar phase scanning mode can be determined, and the radar azimuth scanning range, the phase scanning angle, the phase scanning interval angle and the phase scanning measurement duration parameter need to be set, and the method specifically comprises the following steps:
step 31, estimating the radar antenna azimuth beam width:
a one-dimensional uniform linear array composed of N array elements, the interval d of the array elements is lambda/2, and the azimuth beam width of the radar antenna is approximately estimated by using the following formula (2)
Figure BDA0002778277320000022
Wherein λ ═ c/f0，c＝3×108m/s is the propagation velocity of electromagnetic waves, f0Is the radar operating frequency;
Figure BDA0002778277320000023
step 32, setting a phase scanning angle:
setting the maximum angle of phase-sweep angle from the normal of the antenna to not more than 120 degrees according to the azimuth beam width of the radar antenna estimated in step 31, as shown in the following formula (3), in terms of the array-plane antennaThe line normal is phase scanning angle zero point, and phase scanning initial angle theta is setscan1And phase sweep end angle thetascan2：
Figure BDA0002778277320000024
Step 33, setting the phase sweep interval angle to thetastepDegree;
step 34, setting the phase sweep interval angle thetastepThe corresponding number of pulses is mscan；
Step 35, setting a minimum measurement duration:
calculating the minimum measurement time t according to the relevant parameters of the phase scanning angle set in the steps 32-34 and the pulse repetition frequency in the radar working parametersminSee formula (4) below, where PRF is the pulse repetition frequency;
Figure BDA0002778277320000031
step 4, processing phase scanning data:
step 41, according to the distance D between the radar antenna and the target determined in the step 2, calculating a central distance unit r where the target is locatedoSee the following formula (5), where Δ m is the distance resolution,
Figure BDA0002778277320000032
step 42, determining the distance range Δ r corresponding to the selected ship according to the number num of distance units occupied by the target length L of the selected ship, which is shown in the following formula (6):
ro-num≤Δr≤ro+num (6)
step 43, drawing a distance-time RT two-dimensional pseudo color image by using a data matrix formed by a distance range delta r corresponding to the ship and the time length of the measurement data, and selecting a section of complete scanning signal from the RT image;
step 44, with step43, averaging corresponding amplitudes of the delta r distance units to obtain an average distance unit
Figure BDA0002778277320000035
The corresponding amplitude curves with M pulses, see the following equation (7):
Figure BDA0002778277320000033
step 45, sequentially using M to the one-dimensional amplitude values corresponding to the M pulses in the step 44scanAverage pulse to obtain M/MscanIs expressed by thetastepIs a one-dimensional amplitude map corresponding to the azimuth angle of the scale, and is corresponding to M/MscanThe abscissa is multiplied by thetastepConverting the abscissa of the one-dimensional amplitude diagram into an azimuth dimension;
step 5, estimating the 3dB beam width:
step 51, compensating gain loss caused by phase sweeping: calculating the following formula (8) for the azimuth-amplitude Data _ ys corresponding to the step 45, compensating the gain loss caused by phase scanning, and obtaining the Data _ bc after compensating the gain loss, wherein theta is theta with the starting point as thetascan1End point is thetascan2At an interval of thetastepForming an orientation vector, and multiplying the vector by an expression vector;
Figure BDA0002778277320000034
step 52, searching the maximum value in the Data _ bc, finding out the azimuth angle theta corresponding to the left and the right after the maximum value is reduced by 6dBleft、θrightAnd are multiplied by the corresponding beam broadening factors cos θ, respectivelyleft、cosθrightThe 3dB beamwidth is obtained according to the following equation (9):
θ3dB＝(θright·cosθright)-(θleft·cosθleft) (9)。
the invention has the beneficial effects that:
the method for estimating the azimuth beam width of the shore-based multi-channel radar based on the measured data realizes the external field calibration of the azimuth beam width of the radar by utilizing the mutual scanning function of the sea surface ship target and the multi-channel radar, greatly reduces the cost of the external field test, can carry out the external field calibration on the azimuth beam width of the radar in real time, and provides powerful guarantee for the accurate measurement of the multi-channel radar.
Drawings
FIG. 1 is a schematic flow chart of the method disclosed in example 1 of the present invention;
FIG. 2 is a distance-time two-dimensional pseudo-color map in step 43 of the method disclosed in embodiment 1 of the present invention;
fig. 3 is a one-dimensional view of azimuth-amplitude in step 45 of the method disclosed in embodiment 1 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Embodiment 1, as shown in fig. 1, this embodiment discloses a method for estimating a beam width in an azimuth of a shore-based multi-channel radar based on measured data, where in a multi-channel radar phase-scan operating mode, a reasonable target scatterer is selected, corresponding phase-scan parameters are set, phase-scan data corresponding to the target scatterer is processed, beam broadening and gain loss caused by phase-scan are compensated, and a beam width in an azimuth of a radar antenna is estimated. The method specifically comprises the following steps:
step 1, selecting a strong scatterer target for estimating azimuth beam width:
the method comprises the following steps of acquiring information of ships passing through or berthing in a sea area irradiated by a shore-based radar by using an Automatic Identification System (AIS) of the ships, and selecting a non-cooperative target for estimating azimuth beam width based on the ship information, wherein the specific steps are as follows:
step 11, selecting a ship with the length of more than 100 meters and the width of more than 30 meters as a target ship for estimating the azimuth beam width by combining the radar irradiation azimuth range and the azimuth angle of the ship in the AIS;
step 12, judging whether the navigational speed of the ship selected in the step 11 is 0, if so, selecting the berthed ship as a measurement target, and if not, not selecting the ship;
step 2, calculating an azimuth angle phi and a pitch angle theta of the radar irradiated target:
calculating an azimuth angle phi required to be set when the normal of the radar antenna is aligned to a target by combining longitude and latitude information of a ship in the AIS and longitude and latitude information of a radar erection position; calculating a linear distance D between the radar antenna and a target, and calculating a pitch angle theta required to be set when a normal of the radar antenna is aligned with the target by combining a known radar erection height H, wherein arcsin (·) is an arcsine function;
Figure BDA0002778277320000051
step 3, setting radar phase scanning mode parameters:
based on the radar azimuth angle and the pitch angle calculated in the step 2, only the azimuth scanning center in the radar phase scanning mode can be determined, and the radar azimuth scanning range, the phase scanning angle, the phase scanning interval angle and the phase scanning measurement duration parameter need to be set, and the method specifically comprises the following steps:
step 31, estimating the radar antenna azimuth beam width:
and preliminarily estimating the azimuth beam width of the radar antenna according to the design form of the radar azimuth antenna and the antenna array element directional diagram. If the array element is a dipole antenna, a one-dimensional uniform linear array consisting of N array elements is formed, the interval d of the array elements is lambda/2, and the azimuth beam width of the radar antenna is approximately estimated by using the following formula (2)
Figure BDA0002778277320000052
Wherein λ ═ c/f0，c＝3×108m/s is the propagation velocity of electromagnetic waves, f0Is the radar operating frequency;
Figure BDA0002778277320000053
step 32, setting a phase scanning angle:
setting the maximum angle of the phase-scanning angle deviating from the normal of the antenna not to exceed 120 degrees according to the azimuth beam width of the radar antenna estimated in the step 31, and setting a phase-scanning start angle theta by taking the normal of the array antenna as a phase-scanning angle zero point according to the following formula (3)scan1And phase sweep end angle thetascan2：
Figure BDA0002778277320000054
Step 33, setting the phase sweep interval angle to thetastepDegree;
step 34, setting the phase sweep interval angle thetastepThe corresponding number of pulses is mscan；
Step 35, setting a minimum measurement duration:
calculating the minimum measurement time t according to the relevant parameters of the phase scanning angle set in the steps 32-34 and the pulse repetition frequency in the radar working parametersmin(s) see the following formula (4), wherein PRF (Hz) is the pulse repetition frequency;
Figure BDA0002778277320000055
step 4, processing phase scanning data:
step 41, according to the distance D between the radar antenna and the target determined in the step 2, calculating a central distance unit r where the target is locatedoSee the following formula (5), where Δ m is the distance resolution,
Figure BDA0002778277320000061
step 42, determining the distance range Δ r corresponding to the selected ship according to the number num of distance units occupied by the target length L of the selected ship, which is shown in the following formula (6):
ro-num≤Δr≤ro+num (6)
step 43, drawing a distance-Time (RT) two-dimensional pseudo color map by using a data matrix composed of a distance Range Δ r corresponding to the ship and a Time length of the measurement data, as shown in fig. 2, and selecting a complete scanning signal from the RT map;
step 44, taking the complete scanning signal selected in step 43 as the processing object, averaging the corresponding amplitudes of the Δ r distance units to obtain an average distance unit
Figure BDA0002778277320000064
The corresponding amplitude curves with M pulses, see the following equation (7):
Figure BDA0002778277320000062
step 45, sequentially using M to the one-dimensional amplitude values corresponding to the M pulses in the step 44scanAverage pulse to obtain M/MscanIs expressed by thetastepIs a one-dimensional amplitude map corresponding to the azimuth angle of the scale, and is corresponding to M/MscanThe abscissa is multiplied by thetastepConverting the abscissa of the one-dimensional amplitude diagram into an azimuth dimension degree, as shown in fig. 3;
step 5, estimating the 3dB beam width:
step 51, compensating gain loss caused by phase sweeping: calculating the following formula (8) for the azimuth-amplitude Data _ ys corresponding to the step 45, compensating the gain loss caused by phase scanning, and obtaining the Data _ bc after compensating the gain loss, wherein theta is theta with the starting point as thetascan1End point is thetascan2At an interval of thetastepForming an orientation vector, and multiplying the vector by an expression vector;
Figure BDA0002778277320000063
step 52, searching the maximum value in the Data _ bc, finding out the azimuth angle theta corresponding to the left and the right after the maximum value is reduced by 6dBleft、θrightAnd are respectively multiplied by phaseCorresponding beam broadening factor cos θleft、cosθrightThe 3dB beamwidth is obtained according to the following equation (9):
θ3dB＝(θright·cosθright)-(θleft·cosθleft) (9)。

Claims (1)

1. a method for estimating the azimuth beam width of a shore-based multi-channel radar based on measured data is characterized by comprising the following steps:
step 1, selecting a strong scatterer target for estimating azimuth beam width:
the method comprises the following steps of acquiring information of passing or berthing ships in a sea area irradiated by a shore-based radar by using an automatic identification system AIS of the ships, and selecting a non-cooperative target for estimating azimuth beam width based on the ship information, wherein the specific steps are as follows:
step 11, selecting a ship with the length of more than 100 meters and the width of more than 30 meters as a target ship for estimating the azimuth beam width by combining the radar irradiation azimuth range and the azimuth angle of the ship in the AIS;
step 12, judging whether the navigational speed of the ship selected in the step 11 is 0, if so, selecting the berthed ship as a measurement target, and if not, not selecting the ship;
step 2, calculating an azimuth angle phi and a pitch angle theta of the radar irradiated target:
calculating an azimuth angle phi required to be set when the normal of the radar antenna is aligned to a target by combining longitude and latitude information of a ship in the AIS and longitude and latitude information of a radar erection position; calculating a linear distance D between the radar antenna and a target, and calculating a pitch angle theta required to be set when a normal of the radar antenna is aligned with the target by combining a known radar erection height H, wherein arcsin (·) is an arcsine function;
Figure FDA0002778277310000011
step 3, setting radar phase scanning mode parameters:
based on the radar azimuth angle and the pitch angle calculated in the step 2, only the azimuth scanning center in the radar phase scanning mode can be determined, and the radar azimuth scanning range, the phase scanning angle, the phase scanning interval angle and the phase scanning measurement duration parameter need to be set, and the method specifically comprises the following steps:
step 31, estimating the radar antenna azimuth beam width:
a one-dimensional uniform linear array composed of N array elements, the interval d of the array elements is lambda/2, and the azimuth beam width of the radar antenna is approximately estimated by using the following formula (2)
Figure FDA0002778277310000012
Wherein λ ═ c/f0，c＝3×108m/s is the propagation velocity of electromagnetic waves, f0Is the radar operating frequency;
Figure FDA0002778277310000013
step 32, setting a phase scanning angle:
setting the maximum angle of the phase-scanning angle deviating from the normal of the antenna not to exceed 120 degrees according to the azimuth beam width of the radar antenna estimated in the step 31, and setting a phase-scanning start angle theta by taking the normal of the array antenna as a phase-scanning angle zero point according to the following formula (3)scan1And phase sweep end angle thetascan2：
Figure FDA0002778277310000014
Step 33, setting the phase sweep interval angle to thetastepDegree;
step 34, setting the phase sweep interval angle thetastepThe corresponding number of pulses is mscan；
Step 35, setting a minimum measurement duration:
calculating the minimum measurement time t according to the relevant parameters of the phase scanning angle set in the steps 32-34 and the pulse repetition frequency in the radar working parametersminSee formula (4) below, where PRF is the pulse repetition frequency;
Figure FDA0002778277310000021
step 4, processing phase scanning data:
step 41, according to the distance D between the radar antenna and the target determined in the step 2, calculating a central distance unit r where the target is locatedoSee the following formula (5), where Δ m is the distance resolution,
Figure FDA0002778277310000022
step 42, determining the distance range Δ r corresponding to the selected ship according to the number num of distance units occupied by the target length L of the selected ship, which is shown in the following formula (6):
ro-num≤Δr≤ro+num (6)
step 43, drawing a distance-time RT two-dimensional pseudo color image by using a data matrix formed by a distance range delta r corresponding to the ship and the time length of the measurement data, and selecting a section of complete scanning signal from the RT image;
step 44, taking the complete scanning signal selected in step 43 as the processing object, averaging the corresponding amplitudes of the Δ r distance units to obtain an average distance unit
Figure FDA0002778277310000023
The corresponding amplitude curves with M pulses, see the following equation (7):
Figure FDA0002778277310000024
step 45, sequentially using M to the one-dimensional amplitude values corresponding to the M pulses in the step 44scanAverage pulse to obtain M/MscanIs expressed by thetastepIs a one-dimensional amplitude map corresponding to the azimuth angle of the scale, and is corresponding to M/MscanThe abscissa is multiplied by thetastepThe abscissa of the one-dimensional amplitude map is plottedConverting into azimuth dimension number;
step 5, estimating the 3dB beam width:
step 51, compensating gain loss caused by phase sweeping: calculating the following formula (8) for the azimuth-amplitude Data _ ys corresponding to the step 45, compensating the gain loss caused by phase scanning, and obtaining the Data _ bc after compensating the gain loss, wherein theta is theta with the starting point as thetascan1End point is thetascan2At an interval of thetastepForming an orientation vector, and multiplying the vector by an expression vector;
Figure FDA0002778277310000031
step 52, searching the maximum value in the Data _ bc, finding out the azimuth angle theta corresponding to the left and the right after the maximum value is reduced by 6dBleft、θrightAnd are multiplied by the corresponding beam broadening factors cos θ, respectivelyleft、cosθrightThe 3dB beamwidth is obtained according to the following equation (9):
θ3dB＝(θright·cosθright)-(θleft·cosθleft) (9)。
CN202011273033.5A 2020-11-14 2020-11-14 Method for estimating azimuth beam width based on multi-channel radar measured data Active CN112526464B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011273033.5A CN112526464B (en) 2020-11-14 2020-11-14 Method for estimating azimuth beam width based on multi-channel radar measured data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011273033.5A CN112526464B (en) 2020-11-14 2020-11-14 Method for estimating azimuth beam width based on multi-channel radar measured data

Publications (2)

Publication Number Publication Date
CN112526464A true CN112526464A (en) 2021-03-19
CN112526464B CN112526464B (en) 2022-03-18

Family

ID=74980769

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011273033.5A Active CN112526464B (en) 2020-11-14 2020-11-14 Method for estimating azimuth beam width based on multi-channel radar measured data

Country Status (1)

Country Link
CN (1) CN112526464B (en)

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007011458A2 (en) * 2005-07-19 2007-01-25 Raytheon Company A method of generating accurate estimates of azimuth and elevation angles of a target for a phased-phased array rotating radar
EP2035856A1 (en) * 2006-06-30 2009-03-18 Telefonaktiebolaget LM Ericsson (PUBL) A method, use of said method and arrangements in an electronic support measures system
US20120140780A1 (en) * 2009-07-30 2012-06-07 Spatial Digital Systems Coherent Power Combining via Wavefront Multiplexing on Deep Space Spacecraft
CN102680968A (en) * 2012-05-29 2012-09-19 上海无线电设备研究所 Phase-scanning and mechanism-scanning combined airspace searching method based on spaceborne radar
US8456349B1 (en) * 2009-03-19 2013-06-04 Gregory Hubert Piesinger Three dimensional radar method and apparatus
CN103197301A (en) * 2013-03-19 2013-07-10 中国人民解放军海军航空工程学院 Sea surface micro-motion target Radon-linear contact transformation long-time phase-coherent accumulation detecting method
US20150323658A1 (en) * 2014-05-06 2015-11-12 Mark Resources, Inc. Marine Radar Based on Cylindrical Array Antennas with Other Applications
CN106772300A (en) * 2016-12-02 2017-05-31 中国电波传播研究所（中国电子科技集团公司第二十二研究所） A kind of microwave over-the-horizon radar reflectogram computational methods
CN108919210A (en) * 2018-07-12 2018-11-30 中国船舶重工集团公司第七二四研究所 A kind of one-dimensional phase sweeps three-dimensional radar intermediate frequency target simulator
CN109375174A (en) * 2018-12-17 2019-02-22 西安八阵图电子科技有限公司 Bidimensional electric scanning three-dimensional radar method based on inverted T shaped linear array
CN109459751A (en) * 2018-08-27 2019-03-12 北京理工大学 A kind of biological information monitor method of migrating based on weather radar data
CN110736971A (en) * 2019-11-05 2020-01-31 中国电波传播研究所（中国电子科技集团公司第二十二研究所） real-time recognition method for non-cooperative targets in sea clutter measurement area of shore-based radar
CN110907907A (en) * 2019-10-19 2020-03-24 中国电波传播研究所（中国电子科技集团公司第二十二研究所） Sea clutter Doppler spectrum characteristic analysis and comparison method
CN110954877A (en) * 2019-11-05 2020-04-03 中国电波传播研究所（中国电子科技集团公司第二十二研究所） Method for generating terrain of measurement area of scattering characteristics of vehicle-mounted radar

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007011458A2 (en) * 2005-07-19 2007-01-25 Raytheon Company A method of generating accurate estimates of azimuth and elevation angles of a target for a phased-phased array rotating radar
US20070018882A1 (en) * 2005-07-19 2007-01-25 Raytheon Company Method of generating accurate estimates of azimuth and elevation angles of a target for a phased-phased array rotating radar
EP2035856A1 (en) * 2006-06-30 2009-03-18 Telefonaktiebolaget LM Ericsson (PUBL) A method, use of said method and arrangements in an electronic support measures system
US8456349B1 (en) * 2009-03-19 2013-06-04 Gregory Hubert Piesinger Three dimensional radar method and apparatus
US20120140780A1 (en) * 2009-07-30 2012-06-07 Spatial Digital Systems Coherent Power Combining via Wavefront Multiplexing on Deep Space Spacecraft
CN102680968A (en) * 2012-05-29 2012-09-19 上海无线电设备研究所 Phase-scanning and mechanism-scanning combined airspace searching method based on spaceborne radar
CN103197301A (en) * 2013-03-19 2013-07-10 中国人民解放军海军航空工程学院 Sea surface micro-motion target Radon-linear contact transformation long-time phase-coherent accumulation detecting method
US20150323658A1 (en) * 2014-05-06 2015-11-12 Mark Resources, Inc. Marine Radar Based on Cylindrical Array Antennas with Other Applications
CN106772300A (en) * 2016-12-02 2017-05-31 中国电波传播研究所（中国电子科技集团公司第二十二研究所） A kind of microwave over-the-horizon radar reflectogram computational methods
CN108919210A (en) * 2018-07-12 2018-11-30 中国船舶重工集团公司第七二四研究所 A kind of one-dimensional phase sweeps three-dimensional radar intermediate frequency target simulator
CN109459751A (en) * 2018-08-27 2019-03-12 北京理工大学 A kind of biological information monitor method of migrating based on weather radar data
CN109375174A (en) * 2018-12-17 2019-02-22 西安八阵图电子科技有限公司 Bidimensional electric scanning three-dimensional radar method based on inverted T shaped linear array
CN110907907A (en) * 2019-10-19 2020-03-24 中国电波传播研究所（中国电子科技集团公司第二十二研究所） Sea clutter Doppler spectrum characteristic analysis and comparison method
CN110736971A (en) * 2019-11-05 2020-01-31 中国电波传播研究所（中国电子科技集团公司第二十二研究所） real-time recognition method for non-cooperative targets in sea clutter measurement area of shore-based radar
CN110954877A (en) * 2019-11-05 2020-04-03 中国电波传播研究所（中国电子科技集团公司第二十二研究所） Method for generating terrain of measurement area of scattering characteristics of vehicle-mounted radar

Non-Patent Citations (11)

* Cited by examiner, † Cited by third party
Title
BELINDA LIPA 等: "Evaluating HF Coastal Radar Site Performance for Tsunami Warning", 《REMOTE SENSING》 *
THOMAS HELZEL 等: "Software beam forming for ocean radar WERA features and accuracy", 《OCEANS 2010 MTS/IEEE SEATTLE》 *
XIN LI 等: "Calibration measurement of shore-based radar with active reflector", 《2018 12TH INTERNATIONAL SYMPOSIUM ON ANTENNAS, PROPAGATION AND EM THEORY (ISAPE)》 *
周宝亮 等: "分布式相参雷达基线选择与标定误差分析", 《系统工程与电子技术》 *
夏晓云 等: "基于相位的岸基雷达地海杂波分割方法", 《系统工程与电子技术》 *
岳松 等: "阵列天线波束对透波罩功率传输系数的影响分析", 《空间电子技术》 *
张玉洪 等: "任意分布阵列天线波束宽度的精确估计", 《西安电子科技大学学报》 *
曹俊武 等: "X波段测雨雷达强度资料评估及改进方法", 《雷达科学与技术》 *
朱金台 等: "基于定标站的旋转扫描扇形波束散射计在轨定标方法", 《宇航学报》 *
杨寓哲 等: "基于改进C2算法的弹载雷达抗多径干扰研究", 《航空兵器》 *
雷旺敏: "机相扫雷达仰角扫描能量时间的优化分配方法", 《现代雷达》 *

Also Published As

Publication number Publication date
CN112526464B (en) 2022-03-18

Similar Documents

Publication Publication Date Title
CN110609287B (en) Double-frequency radar scatterometer and method for simultaneously measuring sea surface wind field and flow field
US11454702B2 (en) Synthetic aperture radar method and synthetic aperture radar device
CN102135610A (en) Near-field real-time calibration method for human body millimeter wave imaging safety inspection system
CN109061638B (en) Phased array close-range digital imaging method
CN110836981A (en) Layered water flow high-resolution radial acoustic Doppler frequency measurement method
CN111880185A (en) Underwater target surveying processing method and system
Okino et al. Measurement of seabed topography by multibeam sonar using CFFT
EP0600242B1 (en) Linear array lateral motion compensation method
CN110879391B (en) Radar image data set manufacturing method based on electromagnetic simulation and missile-borne echo simulation
CN114594478B (en) Ship target interference detection method based on satellite-borne Ka-band SAR system
CN110554377A (en) Single-channel SAR two-dimensional flow field inversion method and system based on Doppler center offset
CN111090094B (en) Method and system for measuring dual-beam angle of pulse Doppler radar and storage medium
CN112526464B (en) Method for estimating azimuth beam width based on multi-channel radar measured data
CN115865142B (en) Radar antenna beam pointing calibration method, system, device and storage medium
CN111505590A (en) High-frequency ground wave radar channel calibration method and system
CN112068087B (en) Shore-based multi-channel radar aircraft-simulated sea clutter measurement method
RU2316786C1 (en) Mode of observation over the surface and air situation on a multi-channel radar basis
Ollivier et al. Side scan sonar using phased arrays for high resolution imaging and wide swath bathymetry
Helzel et al. Software beam forming for ocean radar WERA features and accuracy
CN114184256A (en) Water level measuring method under multi-target background
JP3583908B2 (en) Target measuring device
CN111257861B (en) 24GHz continuous wave radar angle measurement method
RU2810725C1 (en) Method for obtaining two-dimensional radar image of object with multi-frequency pulse probing and inverse aperture synthesis taken into account of near location zone
CN116500625B (en) Recovery imaging method, device, system, electronic equipment and readable storage medium
RU2267136C1 (en) Mode of measuring of the diagram of reverse secondary radiation of an object and a radiolocation station for its realization

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant