CN104569913A - High-precision full-lightning positioning method - Google Patents

High-precision full-lightning positioning method Download PDF

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CN104569913A
CN104569913A CN201510047616.9A CN201510047616A CN104569913A CN 104569913 A CN104569913 A CN 104569913A CN 201510047616 A CN201510047616 A CN 201510047616A CN 104569913 A CN104569913 A CN 104569913A
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waveform
time
website
lightning
station
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CN104569913B (en
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蔡力
王建国
樊亚东
周蜜
李显强
裴立献
李泉新
祁汭晗
郑钟楠
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Wuhan University WHU
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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
    • G01S5/00Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G01S5/06Position of source determined by co-ordinating a plurality of position lines defined by path-difference measurements

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  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)

Abstract

The invention relates to a high-precision full-lightning positioning method. The method can be applied to three-dimensional positioning of lightning, can realize high-precision positioning of the spatial position and height of the inter-cloud and intracloud lightning and can realize high-precision positioning of the ground position of cloud-to-ground lightning as well. According to the method, a five-station three-dimensional positioning algorithm is adopted to transformer a nonlinear equation system into a linear matrix equation so as to obtain a unique solution, a time window, a waveform cross-correlation extraction time difference method and a Levenberg-Marquardt(L-M) least square optimization algorithm are adopted to solve the problems about automatic matching of data waveforms of different sounding stations, accurate extraction of time difference and three-dimensional positioning optimization solution of non-plane sounding stations, and accurate three-dimensional geographical information and time information of the lightning can be obtained.

Description

The full lightning positioning method of a kind of high precision
Technical field
The invention belongs to electric field, especially relate to the full lightning positioning method of a kind of high precision.
Background technology
In " IDNDR " that the United Nations in 1987 determines, thunder and lightning is endanger one of ten kinds of maximum disasters to the mankind.The material progress that the thunder and lightning natural resources of depending on for existence to the mankind and the mankind create for a long time forms and threatens greatly, especially today of microelectronic device widespread use, direct and the indirect disaster that thunder and lightning causes is day by day serious, therefore the research of thunder and lightning is also more and more come into one's own, the lighting location network LLS that China runs covers the most area of China, can dodge over the ground and well monitor.But cloud twinkle SM can not be provided to cease and can not observe early stage Lightning electromagnetic radiation development processes such as cloud sudden strains of a muscle, affect and limit for the rich understanding of thunder activities.In order to better study the generation development mechanism of thunder and lightning, need the three-dimensional detection technical research having carried out thunder and lightning.
The gordian technique of the three-dimensional detection technical research of thunder and lightning is exactly the research of the full lightning positioning method of high precision.This patent proposes the full lightning positioning method of a kind of high-precision three-dimensional, and the method can be used for the three-dimensional localization to lightning, can position dodging traditionally, also can dodge cloud and position.The process employs five station three-dimensional location, Nonlinear System of Equations is converted into linear matrix equation and can obtains unique solution, propose time window, waveform cross-correlation extracts time difference method and Levenberg – Marquardt (L-M) least square method optimized algorithm, planar detector station three-dimensional localization Optimization Solution problems such as solving different detection site data waveform Auto-matching, the mistiming accurately extracts, be non-, obtains accurate lightning three-dimensional geographic information and temporal information.
Summary of the invention
The planar detector station three-dimensional localization Optimization Solution problems such as the present invention mainly solves different detection site data waveform Auto-matching existing for prior art, the mistiming accurately extracts, non-; Provide a kind of three-dimensional localization that can be used for lightning, the hi-Fix of locus and height can be carried out lightning between cloud and in cloud, also can dodge the full lightning positioning method of a kind of high precision carrying out ground location hi-Fix over the ground.
Above-mentioned technical matters of the present invention is mainly solved by following technical proposals:
The full lightning positioning method of a kind of high precision, is characterized in that, comprise the steps:
Step 1: by the radiated electric field waveform digitization of full lightning location detection site, adopt waveform cross correlation algorithm accurately to extract each website to each website waveform poor in the writing time at each station for identical lightning discharge event, concrete grammar is as follows:
Step 1.1: adopt time window to screen waveform to the true response of identical radiation event from the time, each station waveform be simultaneously in time window is likely just the response to same radiation signal.
Step 1.2: be normalized power waveform by Hilbert Rapid Variable Design by original electric field waveform, eliminates the difference of polarity of wave that each website causes due to the difference of distance radiation source distance and amplitude
Step 1.3: calculate the linearly dependent coefficient of allowing stations available power waveform in window, waveform related coefficient being greater than setting, as the threshold value belonging to similar events response, gets best, the up to standard combination at most of similarity as the preliminary matches result to identical lightning event waveform.
Step 1.4: adopt cross-correlation method to extract each website waveform time poor, cross-correlation is relative time function between signal is not the absolute time difference of certain pulse concrete from time delay averaging time that waveform character reflects, thus eliminates different website environment and route of transmission causes waveform small differences.
Whether step 1.5: after the mistiming obtaining each website, use geometric model to detect the mistiming sequence obtained reasonable.
Step 2: non-linear orientation distance algorithm system of equations is converted to linear matrix equation group and tries to achieve just solution, concrete grammar is as follows:
Step 2.1: according to waveform transfer equation, lists each website waveform transfer equation.
t i = t + 1 c ( x i - x ) 2 + ( y i - y ) 2 + ( z i - z ) 2
Wherein c is the light velocity in vacuum, (x i, y i, z i) be i-th localizer station point coordinate, t ifor lightning arrives the time of i-th acquisition station.
Step 2.2: the transmission equation of step 2.1 is carried out transposition process, afterwards the transmission equation of different website is subtracted each other between two, obtain linear equation.
c 2(t 2+t i 2-2tt i)=x 2+x i 2-2xx i+y 2+y i 2-2yy i+z 2+z i 2-2zz i
Wherein define:
r i 2=x i 2+y i 2+z i 2
r 2=x 2+y 2+z 2
Can obtain: c 2t 2+ c 2t i 2-r i 2=r 2-2 (xx i+ yy i+ zz i-c 2tt i)
In a jth website, following equation can be obtained equally:
c 2t 2+c 2t j 2-r j 2=r 2-2(xx j+yy j+zz j-c 2tt j)
Two formulas are subtracted each other and can be obtained:
c 2(t i 2-t j 2)-(r i 2-r j 2)=-2(x(x i-x j)+y(y i-y j)+z(z i-z j)-c 2t(t i-t j))
Same definition:
t ij=t i-t j,x ij=x i-x j,y ij=y i-y j,z ij=z i-z j,
b ij = ( r i 2 - r j 2 ) - c 2 ( t i 2 - t j 2 ) 2
Obtain linear equation xx ij+ yy ij+ zz ij-c 2tt ij=b ij
Tij is the mistiming that i, j two websites reach
Step 2.3: for station, any 5 stations or more observed reading, subtract each other with all the other 4 stations and wherein 1 station, can obtain the matrix be made up of the independent linearity equation of 4 similar steps 2.2, wherein tij obtains by adopting cross-correlation method to extract each website waveform time difference tij in step 1.4;
x ij y ij z ij - c 2 t ij x ik y ik z ik - c 2 t ik x il y il z il - c 2 t il x im y im z im - c 2 t im · x y z t = b ij b ik b il b im
Step 2.4: get radiation source three-dimensional position and time is calculated in the matrix equation of the formation of any 5 station linear combinations.
Step 3: according to the first solution obtained, adopt L-M least square method optimized algorithm to calculate accurate anchor point, concrete grammar is:
Step 3.1: the radiation source three-dimensional position calculated by step 2 and time, inverting lightning discharge event reaches the time of each website, based on following formula:
TOA i fit = 1 c ( x fit - x i ) 2 + ( y fit - y i ) 2 + ( z fit - z i ) 2
that inverting is at inverting position (x fit, y fit, z fit) the transmission of lightning discharge course of event simple path after arrive matching time of arrival of website i.
Step 3.2: determine to weigh Optimal calculation factor χ 2, obtain possible initial estimation analytic solution in 5 station steps 2, redundant sites obtains numerical solution, χ the most at last for coordinating nonlinear iteration to retrain 2be worth minimum solution vector as unique accurate solution vector.
χ 2 = Σ N - 5 N [ TOA i obs - TOA i fit σ t 2 ] 2
Wherein, N is current stations available sum, and σ is the standard deviation of each acquisition station data, is a fixed value, for the time of arrival that website i observes.
Therefore, tool of the present invention has the following advantages: can be used for the three-dimensional localization to lightning, can carry out the hi-Fix of locus and height, also can dodge over the ground and carry out ground location hi-Fix lightning between cloud and in cloud.
Accompanying drawing explanation
Fig. 1 is method flow schematic diagram of the present invention.
Fig. 2 is the method flow schematic diagram differed from the cross correlation algorithm extraction time related in the present invention.
Fig. 3 is that what relate in the present invention is the schematic diagram of normalized power waveform by Hilbert Rapid Variable Design by original electric field waveform.
Fig. 4 is whether reasonably the use geometric model related in the present invention detects the mistiming sequence detection method curve synoptic diagram obtained.
Embodiment
Below by embodiment, and by reference to the accompanying drawings, technical scheme of the present invention is described in further detail.
Embodiment:
Lightning positioning method as complete in Fig. 1 high precision, first adopts waveform cross correlation algorithm accurately to extract each website poor at the record at each station for identical lightning discharge event; Secondly adopt equation conversion Nonlinear System of Equations to be converted to linear matrix equation group and try to achieve just solution; The first solution that last basis obtains, adopts L-M least square method optimized algorithm to calculate exact solution.
Cross correlation algorithm extraction time differs from method as shown in Figure 2:
The first step: adopt time window to screen waveform to the true response of identical radiation event from the time, each station waveform be simultaneously in time window is likely just the response to same radiation signal.
Second step: be normalized power waveform by Hilbert Rapid Variable Design by original electric field waveform, eliminates the difference of polarity of wave that each website causes due to the difference of distance radiation source distance and amplitude as shown in Figure 3.
3rd step: calculate the linearly dependent coefficient of allowing stations available power waveform in window, waveform related coefficient being greater than setting, as the threshold value belonging to similar events response, gets best, the up to standard combination at most of similarity as the preliminary matches result to identical lightning event waveform.
4th step: adopt cross-correlation method to extract each website waveform time poor, cross-correlation is relative time function between signal is not the absolute time difference of certain pulse concrete from time delay averaging time that waveform character reflects, thus eliminates different website environment and route of transmission causes waveform small differences.
Whether the 5th step: after the mistiming obtaining each website, use geometric model to detect the mistiming sequence obtained reasonable.As Fig. 4, d 1for lightning time gap S ithe distance of website, d 2for lightning time gap S jthe distance of website, d 3for S iand S jdistance between two websites.Obviously, d 1-d 2< d 3, two ends, simultaneously divided by light velocity c, can obtain t i-t j< d 3/ c, i.e. DTOA ij< d 3/ c, the mistiming therefore obtained between all websites is less than propagation delay between respective stations.
Adopt equation conversion Nonlinear System of Equations to be converted to linear matrix equation group and try to achieve just solution, comprise the steps:
Step 1: list each website waveform transfer equation.
t i = t + 1 c ( x i - x ) 2 + ( y i - y ) 2 + ( z i - z ) 2
(wherein c is the light velocity in vacuum, (x i, y i, z i) be i-th localizer station point coordinate, t ifor lightning arrives the time of i-th acquisition station).
Step 2: the transmission equation of step one is carried out transposition process, afterwards the transmission equation of different website is subtracted each other between two, obtain linear equation.
c 2(t 2+t i 2-2tt i)=x 2+x i 2-2xx i+y 2+y i 2-2yy i+z 2+z i 2-2zz i
Wherein define:
r i 2=x i 2+y i 2+z i 2
r 2=x 2+y 2+z 2
Can obtain: c 2t 2+ c 2t i 2-r i 2=r 2-2 (xx i+ yy i+ zz i-c 2tt i)
In a jth website, following equation can be obtained equally:
c 2t 2+c 2t j 2-r j 2=r 2-2(xx j+yy j+zz j-c 2tt j)
Two formulas are subtracted each other and can be obtained:
c 2(t i 2-t j 2)-(r i 2-r j 2)=-2(x(x i-x j)+y(y i-y j)+z(z i-z j)-c 2t(t i-t j))
Same definition:
t ij=t i-t j,x ij=x i-x j,y ij=y i-y j,z ij=z i-z j,
b ij = ( r i 2 - r j 2 ) - c 2 ( t i 2 - t j 2 ) 2
Obtain linear equation xx ij+ yy ij+ zz ij-c 2tt ij=b ij
Tij is the mistiming that i, j two websites reach
Step 3: for station, any 5 stations or more observed reading, subtract each other with all the other 4 stations and wherein 1 station, can obtain the matrix be made up of the independent linearity equation of 4 similar steps 2, wherein tij can be obtained by the step of claim 2 correspondence.
x ij y ij z ij - c 2 t ij x ik y ik z ik - c 2 t ik x il y il z il - c 2 t il x im y im z im - c 2 t im &CenterDot; x y z t = b ij b ik b il b im
Step 4: get radiation source three-dimensional position and time is calculated in the matrix equation of the formation of any 5 station linear combinations.
Adopt L-M least square method optimized algorithm to calculate exact solution, comprise the steps:
Step 1: by the radiation source three-dimensional position that calculates in claim 3 and time.Inverting lightning discharge event reaches the time of each website.
TOA i fit = 1 c ( x fit - x i ) 2 + ( y fit - y i ) 2 + ( z fit - z i ) 2
that inverting is at inverting position (x fit, y fit, z fit) the transmission of lightning discharge course of event simple path after arrive matching time of arrival of website i.
Step 2: determine to weigh Optimal calculation factor χ 2, obtain possible initial estimation analytic solution in 5 station claims 3, redundant sites obtains numerical solution, χ the most at last for coordinating nonlinear iteration to retrain 2be worth minimum solution vector as unique accurate solution vector.
&chi; 2 = &Sigma; N - 5 N [ TOA i obs - TOA i fit &sigma; t 2 ] 2
Wherein, N is current stations available sum, and σ is the standard deviation of each acquisition station data, is a fixed value, for the time of arrival that website i observes.
Specific embodiment described herein is only to the explanation for example of the present invention's spirit.Those skilled in the art can make various amendment or supplement or adopt similar mode to substitute to described specific embodiment, but can't depart from spirit of the present invention or surmount the scope that appended claims defines.

Claims (1)

1. the full lightning positioning method of high precision, is characterized in that, comprise the steps:
Step 1: by the radiated electric field waveform digitization of full lightning location detection site, adopt waveform cross correlation algorithm accurately to extract each website to each website waveform poor in the writing time at each station for identical lightning discharge event, concrete grammar is as follows:
Step 1.1: adopt time window to screen waveform to the true response of identical radiation event from the time, each station waveform be simultaneously in time window is likely just the response to same radiation signal;
Step 1.2: be normalized power waveform by Hilbert Rapid Variable Design by original electric field waveform, eliminates the difference of polarity of wave that each website causes due to the difference of distance radiation source distance and amplitude
Step 1.3: calculate the linearly dependent coefficient of allowing stations available power waveform in window, waveform related coefficient being greater than setting, as the threshold value belonging to similar events response, gets best, the up to standard combination at most of similarity as the preliminary matches result to identical lightning event waveform;
Step 1.4: adopt cross-correlation method to extract each website waveform time poor, cross-correlation is relative time function between signal is not the absolute time difference of certain pulse concrete from time delay averaging time that waveform character reflects, thus eliminates different website environment and route of transmission causes waveform small differences;
Whether step 1.5: after the mistiming obtaining each website, use geometric model to detect the mistiming sequence obtained reasonable;
Step 2: non-linear orientation distance algorithm system of equations is converted to linear matrix equation group and tries to achieve just solution, concrete grammar is as follows:
Step 2.1: according to waveform transfer equation, lists each website waveform transfer equation;
t i = t + 1 c ( x i - x ) 2 + ( y i - y ) 2 + ( z i - z ) 2
Wherein c is the light velocity in vacuum, (x i, y i, z i) be i-th localizer station point coordinate, t ifor lightning arrives the time of i-th acquisition station;
Step 2.2: the transmission equation of step 2.1 is carried out transposition process, afterwards the transmission equation of different website is subtracted each other between two, obtain linear equation;
c 2(t 2+t i 2-2tt i)=x 2+x i 2-2xx i+y 2+y i 2-2yy i+z 2+z i 2-2zz i
Wherein define:
r i 2=x i 2+y i 2+z i 2
r 2=x 2+y 2+z 2
Can obtain: c 2t 2+ c 2t i 2-r i 2=r 2-2 (xx i+ yy i+ zz i-c 2tt i)
In a jth website, following equation can be obtained equally:
c 2t 2+c 2t j 2-r j 2=r 2-2(xx j+yy j+zz j-c 2tt j)
Two formulas are subtracted each other and can be obtained:
c 2(t i 2-t j 2)-(r i 2-r j 2)=-2(x(x i-x j)+y(y i-y j)+z(z i-z j)-c 2t(t i-t j))
Same definition:
t ij=t i-t j,x ij=x i-x j,y ij=y i-y j,z ij=z i-z j,
b ij = ( r i 2 - r j 2 ) - c 2 ( t i 2 - t j 2 ) 2
Obtain linear equation xx ij+ yy ij+ zz ij-c 2tt ij=b ij
Tij is the mistiming that i, j two websites reach
Step 2.3: for station, any 5 stations or more observed reading, subtract each other with all the other 4 stations and wherein 1 station, can obtain the matrix be made up of the independent linearity equation of 4 similar steps 2.2, wherein tij obtains by adopting cross-correlation method to extract each website waveform time difference tij in step 1.4;
x ij y ij z ij - c 2 t ij x ik y ik z ik - c 2 t ik x il y il z il - c 2 t il x im y im z im - c 2 t im . x y z t = b ij b ik b il b im
Step 2.4: get radiation source three-dimensional position and time is calculated in the matrix equation of the formation of any 5 station linear combinations;
Step 3: according to the first solution obtained, adopt L-M least square method optimized algorithm to calculate accurate anchor point, concrete grammar is:
Step 3.1: the radiation source three-dimensional position calculated by step 2 and time, inverting lightning discharge event reaches the time of each website, based on following formula:
TOA i fit = 1 c ( x fit - x i ) 2 + ( y fit - y i ) 2 + ( z fit - z i ) 2
that inverting is at inverting position (x fit, y fit, z fit) the transmission of lightning discharge course of event simple path after arrive matching time of arrival of website i;
Step 3.2: determine to weigh Optimal calculation factor χ 2, obtain possible initial estimation analytic solution in 5 station steps 2, redundant sites obtains numerical solution, χ the most at last for coordinating nonlinear iteration to retrain 2be worth minimum solution vector as unique accurate solution vector;
&chi; 2 = &Sigma; N - 5 N [ TOA i obs - TOA i fit &sigma; t 2 ] 2
Wherein, N is current stations available sum, and σ is the standard deviation of each acquisition station data, is a fixed value, for the time of arrival that website i observes.
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Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106405253A (en) * 2016-08-24 2017-02-15 中国气象科学研究院 Method and apparatus for positioning object lightning radiation source
CN107015064A (en) * 2017-06-20 2017-08-04 云南电网有限责任公司昆明供电局 Lightning Location Method based on thunder and lightning multivariate data auto-correlation Shicha algorithm
CN107037272A (en) * 2017-06-20 2017-08-11 云南电网有限责任公司昆明供电局 Lightning Location Method based on thunder and lightning multivariate data peak-seeking Shicha algorithm
CN108490393A (en) * 2018-03-20 2018-09-04 中国科学院大气物理研究所 A kind of positioning of marine mobile platform and air navigation aid based on lightning location net
CN109188359A (en) * 2018-09-13 2019-01-11 中国气象科学研究院 lightning positioning method and device
CN110426562A (en) * 2019-06-24 2019-11-08 乐山师范学院 The high-precision lightning 3-D positioning method projected based on hierarchical search and metric space
CN112986698A (en) * 2020-10-22 2021-06-18 南京信息工程大学 Three-dimensional lightning positioning method
CN113075461A (en) * 2021-02-21 2021-07-06 珠海复旦创新研究院 Ultra-short baseline lightning three-dimensional positioning method based on broadband very high frequency radiation signal detection
CN113639970A (en) * 2021-08-19 2021-11-12 云南电网有限责任公司电力科学研究院 Method for evaluating ground detection calibration capability of satellite lightning imager
CN113945769A (en) * 2021-10-15 2022-01-18 中国科学院大气物理研究所 Lightning three-dimensional positioning method based on double-population particle swarm optimization
CN117473877A (en) * 2023-12-27 2024-01-30 青岛市生态与农业气象中心(青岛市气候变化中心) Lightning three-dimensional radiation source position inversion method based on stationary satellite data

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030187580A1 (en) * 2002-03-29 2003-10-02 The Tokyo Electric Power Company, Inc. Lightning strike position locating method, apparatus, system and program
CN102298097A (en) * 2011-07-15 2011-12-28 华中科技大学 Method for estimating thunder impulse signal Time Difference of Arrival (TDOA)
JP2012189387A (en) * 2011-03-09 2012-10-04 Tokyo Electric Power Co Inc:The Lightning discharge position orientation system
CN103235284A (en) * 2013-03-29 2013-08-07 中国气象科学研究院 Multi-station lightning VHF (very high frequency) radiation source three-dimensional positioning method and system
CN103605100A (en) * 2013-11-22 2014-02-26 武汉大学 Positioning error simulation method for lightning detection system
CN103809156A (en) * 2014-02-25 2014-05-21 中国人民解放军理工大学 Regional high-resolution lightening radiation source locating system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030187580A1 (en) * 2002-03-29 2003-10-02 The Tokyo Electric Power Company, Inc. Lightning strike position locating method, apparatus, system and program
JP2012189387A (en) * 2011-03-09 2012-10-04 Tokyo Electric Power Co Inc:The Lightning discharge position orientation system
CN102298097A (en) * 2011-07-15 2011-12-28 华中科技大学 Method for estimating thunder impulse signal Time Difference of Arrival (TDOA)
CN103235284A (en) * 2013-03-29 2013-08-07 中国气象科学研究院 Multi-station lightning VHF (very high frequency) radiation source three-dimensional positioning method and system
CN103605100A (en) * 2013-11-22 2014-02-26 武汉大学 Positioning error simulation method for lightning detection system
CN103809156A (en) * 2014-02-25 2014-05-21 中国人民解放军理工大学 Regional high-resolution lightening radiation source locating system

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Beijing Lightning Network(BLNET) and preliminary location results of lightning;Yu Wang,et al;《2014 International conference on lightning protection》;20141018;第643-646页 *
YU WANG,ET AL: "Beijing Lightning Network(BLNET) and preliminary location results of lightning", 《2014 INTERNATIONAL CONFERENCE ON LIGHTNING PROTECTION》 *
胡志祥: "雷电定位算法和误差分析理论研究", 《中国博士学位论文全文数据库 基础科学辑》 *
雷电定位算法和误差分析理论研究;胡志祥;《中国博士学位论文全文数据库 基础科学辑》;20120815(第08期);全文 *

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* Cited by examiner, † Cited by third party
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CN107015064A (en) * 2017-06-20 2017-08-04 云南电网有限责任公司昆明供电局 Lightning Location Method based on thunder and lightning multivariate data auto-correlation Shicha algorithm
CN107037272A (en) * 2017-06-20 2017-08-11 云南电网有限责任公司昆明供电局 Lightning Location Method based on thunder and lightning multivariate data peak-seeking Shicha algorithm
CN108490393A (en) * 2018-03-20 2018-09-04 中国科学院大气物理研究所 A kind of positioning of marine mobile platform and air navigation aid based on lightning location net
CN109188359A (en) * 2018-09-13 2019-01-11 中国气象科学研究院 lightning positioning method and device
CN109188359B (en) * 2018-09-13 2020-07-21 中国气象科学研究院 Lightning positioning method and device
CN110426562A (en) * 2019-06-24 2019-11-08 乐山师范学院 The high-precision lightning 3-D positioning method projected based on hierarchical search and metric space
CN110426562B (en) * 2019-06-24 2021-06-04 乐山师范学院 High-precision lightning three-dimensional positioning method based on layered search and distance space projection
CN112986698A (en) * 2020-10-22 2021-06-18 南京信息工程大学 Three-dimensional lightning positioning method
CN112986698B (en) * 2020-10-22 2022-07-05 南京信息工程大学 Three-dimensional lightning positioning method
CN113075461A (en) * 2021-02-21 2021-07-06 珠海复旦创新研究院 Ultra-short baseline lightning three-dimensional positioning method based on broadband very high frequency radiation signal detection
CN113639970A (en) * 2021-08-19 2021-11-12 云南电网有限责任公司电力科学研究院 Method for evaluating ground detection calibration capability of satellite lightning imager
CN113639970B (en) * 2021-08-19 2023-11-17 云南电网有限责任公司电力科学研究院 Method for evaluating ground calibration detection capability of satellite lightning imager
CN113945769A (en) * 2021-10-15 2022-01-18 中国科学院大气物理研究所 Lightning three-dimensional positioning method based on double-population particle swarm optimization
CN113945769B (en) * 2021-10-15 2022-06-10 中国科学院大气物理研究所 Lightning three-dimensional positioning method based on double-population particle swarm optimization
CN117473877A (en) * 2023-12-27 2024-01-30 青岛市生态与农业气象中心(青岛市气候变化中心) Lightning three-dimensional radiation source position inversion method based on stationary satellite data
CN117473877B (en) * 2023-12-27 2024-03-22 青岛市生态与农业气象中心(青岛市气候变化中心) Lightning three-dimensional radiation source position inversion method based on stationary satellite data

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