CN102508197B - Passive target positioning method based on channel capacity - Google Patents
Passive target positioning method based on channel capacity Download PDFInfo
- Publication number
- CN102508197B CN102508197B CN 201110292688 CN201110292688A CN102508197B CN 102508197 B CN102508197 B CN 102508197B CN 201110292688 CN201110292688 CN 201110292688 CN 201110292688 A CN201110292688 A CN 201110292688A CN 102508197 B CN102508197 B CN 102508197B
- Authority
- CN
- China
- Prior art keywords
- theta
- sin
- target
- channel capacity
- positioning
- 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.)
- Expired - Fee Related
Links
Images
Landscapes
- Position Fixing By Use Of Radio Waves (AREA)
Abstract
The invention provides a passive target positioning method based on channel capacity. The passive target positioning method includes steps of observing a target T by various alternative observation stations, obtaining observation angles based reference directions of the alternative observation stations as reference lines, transmitting results to a control center of a direction-finding cross-bearing positioning system, combining relative position relation of the observation stations, optionally selecting two observation stations A and B to form a triangular positioning system with the target T, calculating an observation angle with a connecting line of the two observation stations as a reference line, calculating channel capacity C of the system, comparing system channel capacities of various triangular positioning systems, and positioning the target T by means of selecting the triangular positioning system with the highest system channel capacity. Measurement errors of each observation stations are taken into consideration, shortcomings of a minimum positioning fuzzy region area method and a minimum circular probable error method when the minimum positioning fuzzy region area method and the minimum circular probable error method are applied to the direction-finding cross-bearing positioning system are avoided, influence of high difference of the measurement errors of the observation stations to positioning precision is reduced, and the observation angles the observation stations can be quickly set according to the channel capacities.
Description
Technical field
What the present invention relates to is a kind of localization method.
Background technology
The standard of weighing at present direction finding cross bearing system accuracy mainly contains two kinds of the minimum and circular proable error minimums of location ambiguity district area.With two stations plane positioning is example, all there is certain one-sidedness in these two kinds of methods, its bearing accuracy is all relevant to the distance (deriving by the length of baseline and the view angle of sensor) of baseline with the length or the target of two research station baselines, and only under the situation of the measuring error unanimity of two research stations, the bearing accuracy that obtains is only the highest.But when its measuring error differed big, even location ambiguity district area and circular proable error are all got minimum value, the bearing accuracy of this moment neither be the highest.Therefore, these two kinds of methods have inevitable inadaptability in direction finding cross bearing system applies.
Summary of the invention
The object of the present invention is to provide the view angle that to dispose the research station according to the size of channel capacity fast, to reach the passive object localization method based on channel capacity of the highest passive target location accuracy.
The object of the present invention is achieved like this:
The present invention is based on the passive object localization method of channel capacity, it is characterized in that:
(1) each alternative research station is observed target T, and obtaining is the view angle of datum line separately with the reference direction, and the result is sent to direction finding cross bearing System Control Center;
(2) direction finding control center receives the view angle of each research station, in conjunction with each research station relative position relation, choosing two research station A and B and target T arbitrarily and constitute the triangle positioning system, is that initial point, AB direction are that X-axis is set up coordinate system with A, and the distance between A and the B is L, T is respectively X and Y apart from the distance of Y-axis and X-axis, then the coordinate of A, B, T is respectively (0,0), (L, 0), (X, Y), calculating with two research station lines is the view angle of datum line
With
(4) calculate the system channel capacity of the triangle positioning system of all any two research stations and target configuration, the system channel capacity of each triangle positioning system relatively, the triangle positioning system of selecting system channel capacity maximum is to target T location, its coordinate
Advantage of the present invention is: from information-theoretical angle, the measuring error of each research station is all taken into account, avoid the minimum and deficiency of minimum these the two kinds of methods of circular proable error in direction finding cross bearing system applies of location ambiguity district area, reduce to differ big influence to bearing accuracy by the research station measuring error, can dispose the view angle of research station according to the size of channel capacity fast, to reach the highest passive target location accuracy.
Description of drawings
Fig. 1 is the two stations planar parasitic target localization synoptic diagram that the present invention is based on direction finding;
Fig. 2 is the channel model synoptic diagram of the two station of the present invention planar parasitic target localization;
Fig. 3 applies channel model synoptic diagram to the passive target localization of three-dimensional for the present invention;
Fig. 4 is a schematic flow sheet of the present invention;
Fig. 5 is two stations planar parasitic object locating system synoptic diagram (is example with 3 standby research stations), A among the figure, and B, C are standby research station.
Embodiment
For example the present invention is done description in more detail below in conjunction with accompanying drawing:
In conjunction with Fig. 1~5, in passive object locating system (is example with two stations plane positioning), in the passive cross bearing system based on direction finding, research station A (0,0) and B (L, 0) record target T (X, position angle Y) are
With
Measuring error
With
Normal Distribution
Obtain the coordinate of target T thus
And satisfy and distribute
Suppose
Intersection angle wherein
Suppose that the signal that research station A and B receive target T emission is respectively S
AAnd S
B, amplitude is respectively a and b, respective channel Gaussian noise n
AAnd n
BNormal Distribution
Because target T is parallel Gaussian channel with marking T to the channel of research station B to research station A, then received signal S
AWith S
BSeparate, received signal S=(S
A, S
B)=S
A+ jS
B, obey distribution
If
Then the two has the identical mathematic(al) representation of form, the abstract in view of the above channel model of setting up out passive target localization.Obtain the accurate coordinate of target T, then requirement
The error ellipse area that constitutes is as far as possible little.In channel model, it is as far as possible little to require the research station to receive the bit error rate that target T transmits, also promptly will be
The error ellipse area that constitutes is as far as possible little.From information theory view, channel capacity is big more, and under same transfer rate, the bit error rate is also low more, so channel capacity C also can be used as and weighs target localization and estimate accurately.Also be that channel capacity is big more, bearing accuracy is high more.
The object of the present invention is achieved like this: (is example with two stations plane positioning) first step, and each alternative research station is observed target T, and obtaining is the view angle of datum line separately with the reference direction, and the result is sent to direction finding cross bearing System Control Center; In second step, direction finding control center receives the view angle of each research station, in conjunction with each research station relative position relation, choose two research station A (0,0) and B (L, 0) and target T (X arbitrarily, Y) constitute the triangle positioning system, calculating with two research station lines is the view angle of datum line
With
In the 3rd step, suppose
Computing system channel capacity C
The 4th goes on foot, and compares the system channel capacity of each triangle positioning system, and the triangle positioning system of selecting system channel capacity maximum gets its coordinate to target T location
The key of location is that direction finding control center chooses the suitable high bearing accuracy of research station acquisition, by the positional information of each research station, according to the Standard Selection configuration research station of institute's angle measurement degree and measurement bearing accuracy.With two stations plane positioning, 3 standby research stations are example, select the channel model of passive target localization for use, determine that the bearing accuracy of the triangle positioning system that two research stations and target T constitute is the highest.
1. standby research station A, B, the relative position of C be by α, and β determines, suppose under reference direction N, and α=30 °, β=45 °, three research stations are observed target T, and the view angle that obtains is respectively:
2. choose two research stations and target T arbitrarily and constitute the triangle positioning system, by the relative position relation of view angle and research station:
3. suppose K=1, calculate the system channel capacity of all triangle positioning systems:
4. the triangle positioning system of selective system channel capacity maximum:
Because C
TAC>C
TAB>C
TBCSo, choosing research station A, C carries out cross bearing to target T in the triangle positioning system.
Claims (1)
1. based on the passive object localization method of channel capacity, it is characterized in that:
(1) each alternative research station is observed target T, and obtaining is the view angle of datum line separately with the reference direction, and the result is sent to direction finding cross bearing System Control Center;
(2) direction finding control center receives the view angle of each research station, in conjunction with each research station relative position relation, chooses two research station A and B and target T arbitrarily and constitutes the triangle positioning system, with A is that initial point, AB direction are that X-axis is set up coordinate system, and the distance between A and the B is L, and T is respectively X and Y apart from the distance of Y-axis and X-axis, then the coordinate of A, B, T is respectively (0,0), (L, 0), (X, Y), research station A (0,0) and B (L, 0) record target T (X, position angle Y) be
With
Measuring error
With
Normal Distribution
Calculating is the view angle of datum line with two research station lines
With
(4) calculate the system channel capacity of the triangle positioning system of all any two research stations and target configuration, the system channel capacity of each triangle positioning system relatively, the triangle positioning system of selecting system channel capacity maximum is to target T location, its coordinate
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN 201110292688 CN102508197B (en) | 2011-09-29 | 2011-09-29 | Passive target positioning method based on channel capacity |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN 201110292688 CN102508197B (en) | 2011-09-29 | 2011-09-29 | Passive target positioning method based on channel capacity |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102508197A CN102508197A (en) | 2012-06-20 |
CN102508197B true CN102508197B (en) | 2013-07-31 |
Family
ID=46220303
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN 201110292688 Expired - Fee Related CN102508197B (en) | 2011-09-29 | 2011-09-29 | Passive target positioning method based on channel capacity |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102508197B (en) |
Families Citing this family (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102879761A (en) * | 2012-09-17 | 2013-01-16 | 中国人民解放军总参谋部第五十七研究所 | Passive positioning method for arrival energy ratio under height constraint |
CN104076351B (en) * | 2014-06-30 | 2017-02-08 | 电子科技大学 | Phase-coherent accumulation detection method for high-speed high maneuvering target |
CN104076348B (en) * | 2014-07-09 | 2017-02-15 | 中国船舶重工集团公司第七二四研究所 | Radar beyond visual range base line passive cooperative localization method |
CN104931956B (en) * | 2015-06-29 | 2017-04-05 | 中国船舶重工集团公司第七二四研究所 | A kind of many radar packet colocated processing methods weighted based on circular proable error |
CN105487048B (en) * | 2015-11-02 | 2018-02-02 | 中国人民解放军国防科学技术大学 | The two station bearing-only location confusion region methods based on fiducial confidence ellipse |
CN105424044B (en) * | 2015-11-05 | 2018-06-26 | 中国船舶重工集团公司第七二四研究所 | A kind of dual station intersection passive location station base combination selection method |
CN108333480A (en) * | 2018-01-04 | 2018-07-27 | 国家电网公司华中分部 | A kind of localization method of substation's shelf depreciation positioning system |
CN108919211B (en) * | 2018-07-12 | 2022-03-11 | 中国船舶重工集团公司第七二四研究所 | Positioning precision evaluation method oriented to three-station cooperative positioning |
CN110062334A (en) * | 2019-04-16 | 2019-07-26 | 重庆邮电大学 | WLAN indoor position accuracy based on user behavior characteristics limits estimation method |
CN111967197A (en) * | 2020-08-27 | 2020-11-20 | 中电科仪器仪表有限公司 | Multi-measuring-station layout method and system based on circle probability errors |
CN112346007B (en) * | 2020-10-26 | 2022-08-12 | 上海航天测控通信研究所 | Direction finding positioning method and system |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7308276B2 (en) * | 2002-06-04 | 2007-12-11 | Symbol Technologies, Inc. | Method for locating mobile units based on received signal strength ratio |
CN102175991B (en) * | 2011-01-16 | 2012-10-31 | 哈尔滨工程大学 | Target positioning method based on maximum positioning likelihood sensor configuration |
-
2011
- 2011-09-29 CN CN 201110292688 patent/CN102508197B/en not_active Expired - Fee Related
Also Published As
Publication number | Publication date |
---|---|
CN102508197A (en) | 2012-06-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102508197B (en) | Passive target positioning method based on channel capacity | |
CN102175991B (en) | Target positioning method based on maximum positioning likelihood sensor configuration | |
CN101806884B (en) | Method for accurately positioning absolute position of deep-sea beacon based on ultra short base line | |
CN101655343B (en) | Target, base and reference meter for calibrating spatial coordinate measuring system of electronic theodolite | |
CN101441267B (en) | Three-measuring point high precision alignment calibration method of seabed answering machine absolute location | |
CN106093858A (en) | A kind of alignment system based on UWB, RFID, INS multi-source co-located technology and localization method | |
CN101344586B (en) | Method and apparatus for three-dimensional multi-movement objective positioning by using multi-frequency sound wave | |
CN101191832A (en) | Wireless sensor network node position finding process based on range measurement | |
CN104680008A (en) | Multi-reference station-based network RTK (Real Time Kinematic) area atmospheric error modeling method | |
CN103389038A (en) | Targeting multi-station measuring method for detecting geometric accuracy of numerical control machine tool through laser tracker | |
CN103399326A (en) | GNSS (global navigation satellite system) dynamic measurement accuracy test system and method | |
CN104535993B (en) | A kind of ground object high-precision locating method of airborne many Active Radar range findings | |
CN105044669A (en) | Three-station time-difference-measuring stereoscopic positioning method | |
CN103327603A (en) | Three-dimensional node positioning method used for wireless sensor network based on APIT | |
CN105136391A (en) | Method of measuring distance between ground force bearing points of plane and system | |
CN104880204A (en) | Method for utilizing GPS and automatic tracking and measurement system to calibrate high-precision laser range finder | |
CN110221327B (en) | Non-contact measuring piling system and piling method | |
CN102607560A (en) | Two-station direction-finding cross positioning tracing algorithm on earth surface based on rhumb lines | |
CN105866811A (en) | Double-star positioning method based on ground cooperation signal | |
CN102564417A (en) | Non-contact dynamic and active positioning method | |
CN106443665A (en) | Radar and ESM (Electronic Support Measurement) track association method based on auxiliary distances | |
CN105572671A (en) | Spatial positioning device based on local coordinate system and system and method thereof | |
CN106405604A (en) | Sensor-based positioning method and device thereof | |
CN102769910B (en) | A kind of terminal and autonomic positioning method thereof | |
CN106932757A (en) | A kind of lunar rover combined positioning-method based on TDOA and Doppler |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130731 Termination date: 20190929 |
|
CF01 | Termination of patent right due to non-payment of annual fee |