CN102508197B - Passive target positioning method based on channel capacity - Google Patents

Passive target positioning method based on channel capacity Download PDF

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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
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target
channel capacity
positioning
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CN102508197A (en
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张曙
杨作军
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Harbin Engineering University
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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

Passive object localization method based on channel capacity
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
Figure BDA0000094777430000011
With
Figure BDA0000094777430000012
(3) establish
Figure BDA0000094777430000013
K is a coefficient, computing system channel capacity C: C = 1 2 log ( 1 + sin 2 θ 2 ^ cos 2 θ 1 ^ sin 2 ( θ 2 ^ - θ 1 ^ ) ( sin 2 θ 2 ^ cos 2 θ 2 ^ + K sin 2 θ 1 ^ cos 2 θ 1 ^ ) σ θ ^ 1 2 ) + 1 2 log ( 1 + sin 2 θ 2 ^ sin 2 θ 1 ^ sin 2 ( θ 2 ^ - θ 1 ^ ) ( sin 4 θ 2 ^ + K sin 4 θ 1 ^ ) σ θ ^ 1 2 )
(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
Figure BDA0000094777430000021
Figure BDA0000094777430000022
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
Figure BDA0000094777430000023
With
Figure BDA0000094777430000024
Measuring error
Figure BDA0000094777430000025
With
Figure BDA0000094777430000026
Normal Distribution
Figure BDA0000094777430000027
Figure BDA0000094777430000028
Obtain the coordinate of target T thus
Figure BDA0000094777430000029
And satisfy and distribute
Figure BDA00000947774300000210
Suppose
Figure BDA00000947774300000212
Intersection angle wherein
Figure BDA00000947774300000213
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
Figure BDA00000947774300000214
Figure BDA00000947774300000215
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
Figure BDA00000947774300000216
Figure BDA00000947774300000217
If
Figure BDA0000094777430000031
Figure BDA0000094777430000032
Figure BDA0000094777430000033
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
Figure BDA0000094777430000035
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
Figure BDA0000094777430000036
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
Figure BDA0000094777430000038
In the 3rd step, suppose
Figure BDA0000094777430000039
Computing system channel capacity C
C = 1 2 log ( 1 + sin 2 θ 2 ^ cos 2 θ 1 ^ sin 2 ( θ 2 ^ - θ 1 ^ ) ( sin 2 θ 2 ^ cos 2 θ 2 ^ + K sin 2 θ 1 ^ cos 2 θ 1 ^ ) σ θ ^ 1 2 ) + 1 2 log ( 1 + sin 2 θ 2 ^ sin 2 θ 1 ^ sin 2 ( θ 2 ^ - θ 1 ^ ) ( sin 4 θ 2 ^ + K sin 4 θ 1 ^ ) σ θ ^ 1 2 )
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
Figure BDA00000947774300000311
Figure BDA00000947774300000312
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:
Figure BDA00000947774300000313
Figure BDA00000947774300000314
Figure BDA00000947774300000315
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:
In Δ TAB,
Figure BDA00000947774300000316
Figure BDA00000947774300000317
Intersection angle
Figure BDA00000947774300000318
In Δ TAC,
Figure BDA00000947774300000320
Intersection angle
Figure BDA00000947774300000321
In Δ TBC,
Figure BDA00000947774300000322
Figure BDA00000947774300000323
Intersection angle
Figure BDA00000947774300000324
3. suppose K=1, calculate the system channel capacity of all triangle positioning systems:
C TAB = 1 2 log ( 1 + sin 2 140 · cos 2 70 · sin 2 70 · ( sin 2 140 · cos 2 140 · + sin 2 70 · cos 2 70 · ) σ θ ^ 1 2 ) + 1 2 log ( 1 + sin 2 140 · sin 2 70 · sin 2 70 · ( sin 4 140 · + sin 4 70 · ) σ θ ^ 1 2 )
= 1 2 log ( 1 + 0.1234 σ θ ^ 1 2 ) ( 1 + 0.3390 σ θ ^ 1 2 )
C TAC = 1 2 log ( 1 + sin 2 130 · cos 2 40 · sin 2 90 · ( sin 2 130 · cos 2 130 · + sin 2 40 · cos 2 40 · ) σ θ ^ 1 2 ) + 1 2 log ( 1 + sin 2 130 · sin 2 40 · sin 2 90 · ( sin 4 130 · + sin 4 40 · ) σ θ ^ 1 2 )
= 1 2 log ( 1 + 0.7101 σ θ ^ 1 2 ) ( 1 + 0.4707 σ θ ^ 1 2 )
C TBC = 1 2 log ( 1 + sin 2 85 · cos 2 55 · sin 2 30 · ( sin 2 85 · cos 2 85 · + sin 2 55 · cos 2 55 · ) σ θ ^ 1 2 ) + 1 2 log ( 1 + sin 2 85 · sin 2 55 · sin 2 30 · ( sin 4 85 · + sin 4 55 · ) σ θ ^ 1 2 )
= 1 2 log ( 1 + 0 . 3575 σ θ ^ 1 2 ) ( 1 + 0.1160 σ θ ^ 1 2 )
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
Figure FDA00002800912400011
With
Figure FDA00002800912400012
Measuring error
Figure FDA00002800912400013
With
Figure FDA00002800912400014
Normal Distribution
Figure FDA00002800912400015
Figure FDA00002800912400016
Calculating is the view angle of datum line with two research station lines
Figure FDA00002800912400017
With
Figure FDA00002800912400018
(3) establish
Figure FDA00002800912400019
K is a coefficient, computing system channel capacity C: C = 1 2 log ( 1 + sin 2 θ ^ 2 cos 2 θ ^ 1 sin 2 ( θ ^ 2 - θ ^ 1 ) ( sin 2 θ ^ 2 cos 2 θ ^ 2 + K sin 2 θ ^ 1 cos 2 θ ^ 1 ) σ θ ^ 1 2 ) + 1 2 log ( 1 + sin 2 θ ^ 2 sin 2 θ ^ 1 sin 2 ( θ ^ 2 - θ ^ 1 ) ( sin 4 θ ^ 2 + K sin 4 θ ^ 1 ) σ θ ^ 1 2 ) ;
(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
Figure FDA000028009124000111
Y ^ = L sin θ ^ 2 sin θ ^ 1 / sin ( θ ^ 2 - θ ^ 1 ) .
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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
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