CN111665493A - Low-slow small target detection method based on digital beam forming technology - Google Patents
Low-slow small target detection method based on digital beam forming technology Download PDFInfo
- Publication number
- CN111665493A CN111665493A CN202010534845.4A CN202010534845A CN111665493A CN 111665493 A CN111665493 A CN 111665493A CN 202010534845 A CN202010534845 A CN 202010534845A CN 111665493 A CN111665493 A CN 111665493A
- Authority
- CN
- China
- Prior art keywords
- target object
- acquiring
- coordinates
- test
- low
- 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.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 20
- 238000005516 engineering process Methods 0.000 title claims abstract description 20
- 238000012360 testing method Methods 0.000 claims abstract description 37
- 230000003068 static effect Effects 0.000 claims abstract description 7
- 238000005259 measurement Methods 0.000 claims abstract description 4
- 230000007123 defense Effects 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 6
- 238000004891 communication Methods 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/06—Systems determining position data of a target
- G01S13/42—Simultaneous measurement of distance and other co-ordinates
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention discloses a low-slow small target detection method based on a digital beam forming technology, which relates to the technical field of low-slow small target detection methods, in particular to a low-slow small target detection method based on a digital beam forming technology, and comprises the following steps: s1: arranging a narrow beam antenna; s2: acquiring coordinates of a target object by using a narrow beam antenna; s3: obtaining a distance value of a target object; s4: selecting a static standard target object as a reference value; s5: acquiring an average coordinate value of a test object; s6: analyzing the average coordinate; s7: and acquiring accurate coordinates of the target object. According to the method for detecting the low and slow small targets based on the digital beam forming technology, multiple groups of numerical values are generated for the measurement of the targets, different average numerical values are obtained from each group of tests, accurate reference numerical values are obtained through the comparison and analysis of the different average numerical values, the standard coordinates of the targets are provided for the tested targets, and the coordinates of the low and slow small targets can be efficiently detected.
Description
Technical Field
The invention relates to the technical field of low-slow small target detection methods, in particular to a low-slow small target detection method based on a digital beam forming technology.
Background
Digital beamforming techniques the antennas of this technique are capable of generating multiple digital beams to enable tracking of satellites, and are referred to as "digital beamforming multi-beam antennas". The device is mounted on a mobile earth station and can realize uninterrupted communication with the satellite during movement. Therefore, the technology is a key technology in mobile satellite communication and is also a key technology of an intelligent antenna in 4G mobile communication. The low-slow small target is short for low-altitude low-speed small targets, and refers to various small aircrafts or air floats with the flying height below 1km, the flying speed per hour less than 200km and the radar reflection area less than 2m 2. The prior art is difficult to realize all-weather effective detection and monitoring of low and slow small targets by using a single detection means.
The prior art detects low and slow small targets, has complex operation method, is easy to generate errors when the position of the target is obtained, and has the defect that the reference value of the correction coefficient of the target is easy to generate deviation.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a low-slow small target detection method based on a digital beam forming technology, and solves the problems that the prior art is provided for detecting the low-slow small target, the operation method is complex, the position of the target is easy to obtain errors, and the correction coefficient reference value of the target is easy to deviate.
In order to achieve the purpose, the invention is realized by the following technical scheme: a low-slow small target detection method based on a digital beam forming technology comprises the following steps:
s1: arranging narrow beam antennas, wherein three planes are arranged below the detected flight area at equal intervals, and each plane comprises at least 6 narrow beam antennas to form a three-dimensional coordinate coefficient;
s2: acquiring coordinates of a target object by using a narrow beam antenna, sequentially measuring the target object by using the narrow beam antenna, respectively acquiring numerical values of the target object in a vertical direction and a horizontal direction, and acquiring coordinates (X, Y and Z) of the target object;
s3: acquiring a distance value of a target object, forming a plurality of beams by adopting a digital beam forming technology in a pitching direction to realize pitching airspace coverage by adopting a low-altitude defense radar of the digital beam forming technology, and acquiring the distance value of the target object by using a narrow beam antenna;
s4: selecting a static standard target object as a reference value, selecting a static standard target object A, measuring the direction and different distances of the target object A by taking the target object A as the reference object, and operating a digital beam arithmetic unit to acquire collection and numerical errors;
s5: acquiring an average coordinate value of a test object; selecting three groups of detection test objects, wherein at least 3 detection test objects are arranged in each group of test objects, obtaining the measurement value of each test object, and extracting the average value of each group of test data;
s6: analyzing the average coordinate, analyzing and comparing the average data of each group of test objects, and correcting a coordinate transformation model;
s7: and acquiring the accurate coordinates of the target object, correcting the coordinate position of the target object, performing dynamic test on the test object, acquiring the dynamic coordinates of the test object, comparing the dynamic coordinates with the standard coordinates, judging the coordinate error of the test object, and ensuring the accuracy of the coordinates of the target object.
The invention provides a low-slow small target detection method based on a digital beam forming technology, which has the following beneficial effects:
the method comprises the steps of generating a plurality of groups of values for measuring the target object, obtaining different average values for each group of tests, and comparing and analyzing the different average values to obtain accurate reference values, providing standard coordinates of the target object for the test target object, and efficiently detecting the coordinates of the low-slow small target.
Drawings
FIG. 1 is a schematic diagram of a spatial transform distancing architecture according to the present invention;
fig. 2 is a block diagram of the digital beam forming principle of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1 to 2, the present invention provides a technical solution: a low-slow small target detection method based on a digital beam forming technology comprises the following steps:
s1: arranging narrow beam antennas, wherein three planes are arranged below the detected flight area at equal intervals, and each plane comprises at least 6 narrow beam antennas to form a three-dimensional coordinate coefficient;
s2: acquiring coordinates of a target object by using a narrow beam antenna, sequentially measuring the target object by using the narrow beam antenna, respectively acquiring numerical values of the target object in a vertical direction and a horizontal direction, and acquiring coordinates (X, Y and Z) of the target object;
s3: acquiring a distance value of a target object, forming a plurality of beams by adopting a digital beam forming technology in a pitching direction to realize pitching airspace coverage by adopting a low-altitude defense radar of the digital beam forming technology, and acquiring the distance value of the target object by using a narrow beam antenna;
s4: selecting a static standard target object as a reference value, selecting a static standard target object A, measuring the direction and different distances of the target object A by taking the target object A as the reference object, and operating a digital beam arithmetic unit to acquire collection and numerical errors;
s5: acquiring an average coordinate value of a test object; selecting three groups of detection test objects, wherein at least 3 detection test objects are arranged in each group of test objects, obtaining the measurement value of each test object, and extracting the average value of each group of test data;
s6: analyzing the average coordinate, analyzing and comparing the average data of each group of test objects, and correcting a coordinate transformation model;
s7: and acquiring the accurate coordinates of the target object, correcting the coordinate position of the target object, performing dynamic test on the test object, acquiring the dynamic coordinates of the test object, comparing the dynamic coordinates with the standard coordinates, judging the coordinate error of the test object, and ensuring the accuracy of the coordinates of the target object.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (1)
1. A low-slow small target detection method based on a digital beam forming technology is characterized by comprising the following steps:
s1: arranging narrow beam antennas, wherein three planes are arranged below the detected flight area at equal intervals, and each plane comprises at least 6 narrow beam antennas to form a three-dimensional coordinate coefficient;
s2: acquiring coordinates of a target object by using a narrow beam antenna, sequentially measuring the target object by using the narrow beam antenna, respectively acquiring numerical values of the target object in a vertical direction and a horizontal direction, and acquiring coordinates (X, Y and Z) of the target object;
s3: acquiring a distance value of a target object, forming a plurality of beams by adopting a digital beam forming technology in a pitching direction to realize pitching airspace coverage by adopting a low-altitude defense radar of the digital beam forming technology, and acquiring the distance value of the target object by using a narrow beam antenna;
s4: selecting a static standard target object as a reference value, selecting a static standard target object A, measuring the direction and different distances of the target object A by taking the target object A as the reference object, and operating a digital beam arithmetic unit to acquire collection and numerical errors;
s5: acquiring an average coordinate value of a test object; selecting three groups of detection test objects, wherein at least 3 detection test objects are arranged in each group of test objects, obtaining the measurement value of each test object, and extracting the average value of each group of test data;
s6: analyzing the average coordinate, analyzing and comparing the average data of each group of test objects, and correcting a coordinate transformation model;
s7: and acquiring the accurate coordinates of the target object, correcting the coordinate position of the target object, performing dynamic test on the test object, acquiring the dynamic coordinates of the test object, comparing the dynamic coordinates with the standard coordinates, judging the coordinate error of the test object, and ensuring the accuracy of the coordinates of the target object.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010534845.4A CN111665493A (en) | 2020-06-12 | 2020-06-12 | Low-slow small target detection method based on digital beam forming technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010534845.4A CN111665493A (en) | 2020-06-12 | 2020-06-12 | Low-slow small target detection method based on digital beam forming technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111665493A true CN111665493A (en) | 2020-09-15 |
Family
ID=72387311
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010534845.4A Pending CN111665493A (en) | 2020-06-12 | 2020-06-12 | Low-slow small target detection method based on digital beam forming technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111665493A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103954953A (en) * | 2014-05-16 | 2014-07-30 | 武汉大学 | Method for performing blind source error compensation on airborne laser radar based on data driving |
| JP2017003494A (en) * | 2015-06-12 | 2017-01-05 | 株式会社東芝 | Radar system, and radar signal processing method |
| CN108226883A (en) * | 2017-11-28 | 2018-06-29 | 深圳市易成自动驾驶技术有限公司 | Test the method, apparatus and computer readable storage medium of millimetre-wave radar performance |
| CN109407084A (en) * | 2018-08-30 | 2019-03-01 | 河海大学 | Radar target localization method based on Chan innovatory algorithm and data fusion |
| CN109521403A (en) * | 2017-09-19 | 2019-03-26 | 百度在线网络技术（北京）有限公司 | The parameter calibration method and device of multi-line laser radar, equipment and readable medium |
| CN109754434A (en) * | 2018-12-27 | 2019-05-14 | 歌尔科技有限公司 | Camera calibration method, apparatus, user equipment and storage medium |
| CN109991605A (en) * | 2019-04-03 | 2019-07-09 | 吉林大学 | A kind of multi-radar data fusion method of intelligent network connection automotive environment sensory perceptual system |
| CN110161474A (en) * | 2019-05-09 | 2019-08-23 | 中科宇达（北京）科技有限公司 | A kind of low slow small target detection method based on digital beam forming technology |
-
2020
- 2020-06-12 CN CN202010534845.4A patent/CN111665493A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103954953A (en) * | 2014-05-16 | 2014-07-30 | 武汉大学 | Method for performing blind source error compensation on airborne laser radar based on data driving |
| JP2017003494A (en) * | 2015-06-12 | 2017-01-05 | 株式会社東芝 | Radar system, and radar signal processing method |
| CN109521403A (en) * | 2017-09-19 | 2019-03-26 | 百度在线网络技术（北京）有限公司 | The parameter calibration method and device of multi-line laser radar, equipment and readable medium |
| CN108226883A (en) * | 2017-11-28 | 2018-06-29 | 深圳市易成自动驾驶技术有限公司 | Test the method, apparatus and computer readable storage medium of millimetre-wave radar performance |
| CN109407084A (en) * | 2018-08-30 | 2019-03-01 | 河海大学 | Radar target localization method based on Chan innovatory algorithm and data fusion |
| CN109754434A (en) * | 2018-12-27 | 2019-05-14 | 歌尔科技有限公司 | Camera calibration method, apparatus, user equipment and storage medium |
| CN109991605A (en) * | 2019-04-03 | 2019-07-09 | 吉林大学 | A kind of multi-radar data fusion method of intelligent network connection automotive environment sensory perceptual system |
| CN110161474A (en) * | 2019-05-09 | 2019-08-23 | 中科宇达（北京）科技有限公司 | A kind of low slow small target detection method based on digital beam forming technology |
Non-Patent Citations (1)
| Title |
|---|
| 袁诚宏;朱晓峰;陈健;徐光明;: "基于联合放球的船载雷达角度零值标校方法" * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110426690B (en) | Automatic calibration method for airborne weather radar beam pointing | |
| CN107167786B (en) | Method for auxiliary extraction of elevation control points from satellite laser height measurement data | |
| CN109548141B (en) | Indoor environment base station coordinate position calibration method based on Kalman filtering algorithm | |
| CN104316903B (en) | A kind of three station positioning using TDOA performance test appraisal procedures | |
| CN106990401B (en) | full-waveform airborne laser radar data-based two-class elevation error correction method | |
| CN112305510B (en) | DEM matching-based synthetic aperture radar image geometric calibration method | |
| CN111156960B (en) | Satellite laser elevation control point screening method suitable for unstable ground surface area | |
| CN112051568B (en) | Pitching angle measurement method of two-coordinate radar | |
| CN108983216B (en) | Airborne radar weak target tracking method before detection based on coordinate calibration | |
| CN113534184B (en) | Laser-perceived agricultural robot space positioning method | |
| CN106950549A (en) | A kind of Radar Calibration method and system based on less radio-frequency relay transmission technology | |
| CN110208771A (en) | A kind of point cloud intensity correcting method of mobile two-dimensional laser radar | |
| CN110940966A (en) | Laser footprint plane positioning method based on laser height measurement satellite footprint image | |
| CN112348882A (en) | Low-altitude target tracking information fusion method and system based on multi-source detector | |
| CN110045342B (en) | Method for evaluating effectiveness of radar relative system error estimation | |
| CN110764050A (en) | Simulation test method for multipoint positioning system | |
| CN113391267A (en) | Frequency spectrum detection system positioning method based on ATDOA algorithm | |
| CN104101869A (en) | Ground wave radar moving object simulation modeling method in polar coordinate | |
| CN117452321A (en) | Airborne direction finding and positioning system based on interferometer and single-station passive cross positioning | |
| CN109254270A (en) | A kind of spaceborne X-band interfering synthetic aperture radar calibrating method | |
| CN111781570A (en) | Radar online precision analysis method based on real-time ADS-B data | |
| CN209802285U (en) | Monitoring system for deformation of communication base station antenna | |
| CN111665493A (en) | Low-slow small target detection method based on digital beam forming technology | |
| CN114782342B (en) | Urban hardware facility defect detection method and device | |
| CN113534213B (en) | High-precision modeling and correcting method for atmospheric phase inconsistency in kilometer-level region |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200915 |