CN101676687B - Ultra-high accuracy star sensor - Google Patents

Ultra-high accuracy star sensor Download PDF

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CN101676687B
CN101676687B CN2009101718795A CN200910171879A CN101676687B CN 101676687 B CN101676687 B CN 101676687B CN 2009101718795 A CN2009101718795 A CN 2009101718795A CN 200910171879 A CN200910171879 A CN 200910171879A CN 101676687 B CN101676687 B CN 101676687B
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star
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CN101676687A (en
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张广军
江洁
樊巧云
魏新国
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Beihang University
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Beihang University
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Abstract

The invention discloses a star sensor with ultrahigh precision, which comprises an optical imaging system, an imaging sensor, an imaging sensor drive unit, a two-path centroid imaging unit, a star tracking unit, a star pattern recognition unit, an attitude calculation unit and a navigation star database. The star sensor is characterized in that two-path centroid tracking imaging technology is introduced to the star sensor of image sensor with pixel planar array of 2048*2048; two-path pixel data are read and processed at the same time; and when star tracking is conducted, the non-window matching tracking without feedback based on locating information is adopted. Therefore, the precision and the data updating rate of the star sensor are greatly improved.

Description

A kind of star sensor of superhigh precision
Technical field
The present invention relates to the star sensor technology, the star sensor of particularly a kind of small-sized superhigh precision, high data updating rate.
Background technology
Star sensor (Star Sensor) is a kind of high precision that extensively adopts in the current aerospacecraft, the attitude measurement parts of high reliability, star sensor works in the real time dynamic measurement pattern, at present its image device all adopts the imageing sensor of face battle array, widespread use be 1024 * 1024 pixels.
Increase along with pixel, as the big array image sensor that adopts 2048 * 2048 pixels will make the nonlinear raising of attitude accuracy, but data volume also can linearly thereupon increase simultaneously, this follows the tracks of the star sensor of mode of operation for present employing frame imaging system and window, be subjected to the restriction of this imaging system and mode of operation, the data updating rate of star sensor is linear and descends, have a strong impact on the Real-time and Dynamic test performance of star sensor, become the bottleneck that star sensor provides attitude information in real time.
Summary of the invention
In view of this, fundamental purpose of the present invention is to provide a kind of star sensor of superhigh precision, makes it have higher precision and high data updating rate.
For achieving the above object, technical scheme of the present invention is achieved in that
The invention provides a kind of star sensor of superhigh precision, comprise optical imaging system, imageing sensor, imageing sensor driver element, two-way mass center image-generating unit, star tracking cell, star atlas recognition unit, attitude calculation unit and navigation star database; Wherein,
Optical imaging system is used for starry sky image is imaged on imageing sensor;
Imageing sensor is used under the driving of imageing sensor driver element light signal being converted to electric signal, and passes to the two-way mass center image-generating unit;
The imageing sensor driver element is used to drive imageing sensor;
The two-way mass center image-generating unit is used for that the two-way pixel of reading in is simultaneously carried out the two-way pixel data and handles, and after handling the view picture image, the center-of-mass coordinate of output facula image is given star tracking cell and star atlas recognition unit;
The star tracking cell is used for the celestial body of the current visual field of celestial body information trace that recognized according to previous moment, obtains celestial body information;
Star atlas recognition unit is used for discerning star chart from the whole day ball;
Attitude calculation unit, the information that is used for celestial body information that recognizes according to the whole day ball or all celestial bodies that trace into calculates the accurate attitude of star sensor, and with the star sensor attitude output that calculates;
Navigation star database is used to store navigational star table.
In the such scheme, described imageing sensor is the big array image sensor of 2048 * 2048 pixels.
In the such scheme, described imageing sensor driver element and two-way mass center image-generating unit are integrated on the FPGA; Described star tracking cell, star atlas recognition unit and attitude calculation unit are integrated on the RISC.
In the such scheme, described two-way mass center image-generating unit further comprises: gray-scale value read module, gray-scale value comparison module, two-way pixel data processing module, background pixel processing module, first judge module, memory module, second judge module and light spot image mass center computing module; Wherein,
The gray-scale value read module is used for reading in simultaneously the gray-scale value of two-way pixel, and the gray-scale value that reads in is sent into the gray-scale value comparison module;
The gray-scale value comparison module is used for the gray-scale value of two-way pixel that the gray-scale value read module is sent, compares with predetermined threshold value respectively, and finishes processing to the two-way pixel according to comparative result;
Two-way pixel data processing module, be used to finish two-way element marking, the merging of equal value of two-way data and two-way data accumulation, afterwards, to the gray-scale value of two-way pixel all greater than predetermined threshold value, enter second judge module, the gray-scale value of left pixel will be handled the back data and send to memory module greater than predetermined threshold value in the two-way pixel, the gray-scale value of right pixel will be handled the back data and send to first judge module greater than predetermined threshold value in the two-way pixel;
Further, two-way pixel data processing module comprises: indexing unit, merge cells and the unit that adds up; Wherein, indexing unit is used to finish the two-way element marking, according to the comparative result of left and right sides grey scale pixel value and predetermined threshold value, carries out mark for left pixel and right pixel, and the pixel that comparative result is identical is labeled as mark of equal value; Merge cells is used to finish the merging of equal value of two-way data, according to the comparative result of a left side/right grey scale pixel value and predetermined threshold value, finishes the merging of equivalent data; The unit that adds up is used to finish the two-way data accumulation, according to the comparative result of a left side/right grey scale pixel value and predetermined threshold value, finishes the adding up of left and right sides grey scale pixel value, and finishes adding up to the product of left and right sides grey scale pixel value and coordinate figure.
The background pixel processing module is used at left and right sides grey scale pixel value during all less than predetermined threshold value, and the current two-way pixel of mark is a background pixel, and mark value is composed to relevant parameter;
First judge module, whether the leftmost pixel that is used for judging the left pixel of two-way pixel underlined value;
Memory module is used for the value of the unit that adds up is added to the data-carrier store of mark value correspondence of equal value, and the unit zero clearing that will add up;
Second judge module is used to judge whether entire image is handled;
The light spot image mass center computing module is used for after handling the view picture image, calculates the also coordinate figure of output facula image centroid.
Wherein, the described unit that adds up comprises and is used for first totalizer that the product to left and right sides grey scale pixel value and coordinate figure adds up, and is used for second totalizer that the gray-scale value to left and right sides pixel adds up.
In the such scheme, described star tracking cell position-based information realizes not having feedback, non-window coupling is followed the tracks of.
Superhigh precision star sensor provided by the invention adopts the imageing sensor of big face battle array as 2048 * 2048 pixels, can improve angular resolution, and then make star sensor have more high precision.
In order to cooperate the use of big array image sensor, the present invention introduces the two-way mass center imaging technique simultaneously, can read the two-way pixel data simultaneously, simultaneously the two-way pixel data is handled, and so, can improve data parallel processing power and data processing speed.Obviously, the present invention is used in combination the two-way mass center imaging technique with big array image sensor, for the star sensor of 2048 * 2048 pixels, data processing speed can double, and, the application of big array image sensor in star sensor can be realized, high precision and high data updating rate can be realized.
The present invention adopts the coupling of not having the non-window of feedback to follow the tracks of when star is followed the tracks of, can tracking field of view on all celestial bodies, further improve the precision of Attitude Calculation, and tracking velocity is fast, the data updating rate under the tracing mode is 15Hz, has higher data updating rate.
The present invention uses the mode of angular distance coupling to realize leg-of-mutton coupling when importance in star map recognition, by by interval storage star to utilize status indicator to carry out triangle identification, can make whole day ball recognition time be controlled to be 0.5s.
The navigational star table that the present invention adopts all even zero lap to divide, the retrieval of nautical star no longer needs to travel through whole navigational star table, makes average search scope 1/54 before being reduced into, and has improved search speed greatly.
Description of drawings
Fig. 1 is the composition structure and the principle of work synoptic diagram of star sensor of the present invention;
Fig. 2 adopts the composition structural representation of two-way mass center imaging device for the present invention.
Embodiment
Basic thought of the present invention is: to using the star sensor of the big array image sensor of 2048 * 2048 pixels, introduce the two-way mass center tracking imaging technology, read and handle the two-way pixel data simultaneously; And when carrying out the star tracking, nothing feedback, the tracking of non-window coupling of adopting position-based information to realize so, can improve the precision and the data updating rate of star sensor greatly.
As shown in Figure 1, star sensor proposed by the invention comprises optical imaging system 10, imageing sensor 11, imageing sensor driver element 12, two-way mass center image-generating unit 13, star tracking cell 14, star atlas recognition unit 15, attitude calculation unit 16 and navigation star database (Guide Star Catalogue) 67.
Here, described imageing sensor is big array image sensor, has 2048 * 2048 pixels; Described star tracking cell adopts the tracing mode of not having the non-window of feedback.In actual applications, imageing sensor driver element 12, two-way mass center image-generating unit 13 can be integrated on the FPGA signal processing unit and realize, star tracking cell 14, star atlas recognition unit 15, attitude calculation unit 16 are integrated on the RISC signal processing unit realize; Certainly, also can all adopt FPGA or RISC, perhaps adopt digital signal processing (DSP); Perhaps, will be integrated in except all unit optical imaging system 10, imageing sensor 11, the navigation star database 17 on a FPGA or RISC or the DSP.Following image taking sensor driver element 12, two-way mass center image-generating unit 13 are integrated in the FPGA signal processing unit, and star tracking cell 14, star atlas recognition unit 15, attitude calculation unit 16 are integrated on the RISC signal processing unit and describe in detail for example.
Wherein, optical imaging system 10 is made up of light shield, high-precision camera lens, is used for starry sky image is imaged on imageing sensor 11.
Imageing sensor 11 is used under the driving of imageing sensor driver element 12 light signal being converted to electric signal, and passes to two-way mass center image-generating unit 13.Generally, adoptable imageing sensor is the Lupa4000 of Cypress company, and it has 2048 * 2048 pixels, frame frequency 15 frames/s.
Imageing sensor driver element 12, drive the requirement of sequential according to imageing sensor, realize driving, achieve line by line the two-way picture signal and export simultaneously 2048 * 2048 pixel imageing sensors 11 based on FPGA, the gray-scale value 10bit of each pixel, clock frequency reaches 33M.That is to say that imageing sensor 11 each output two-way pixel datas are given two-way mass center image-generating unit 13.
Two-way mass center image-generating unit 13 is used for that the two-way pixel of reading in is simultaneously carried out the two-way pixel data and handles, and after handling the view picture image, the center-of-mass coordinate of output facula image is given star tracking cell 14 and star atlas recognition unit 15.Concrete, when handling the view picture light spot image, each gray-scale value that reads in current two-way pixel simultaneously, and simultaneously the gray-scale value and the predetermined threshold value of two-way pixel compared, when at least one is greater than threshold value in the two-way pixel, carry out the process of two-way data markers, the merging of two-way data and two-way data accumulation, after handling the view picture light spot image, the light spot image mass center coordinate figure that output obtains.How two-way mass center image-generating unit 13 specifically realizes the principle and the processes of two-way mass center imaging, the applicant application on September 17th, 2008, number of patent application is open in detail in another patented claim of 200810222489.1, do not repeat them here.
This two-way mass center image-generating unit utilizes the characteristics of FPGA real-time parallel calculating to the asterism mass center tracking imaging, real-time implementation is cut apart and the first moment centroid algorithm based on four connected domains, directly export all asterism barycenter data in the two field picture, compare with the whole frame data of direct output like this, can reduce up to ten thousand times of image data amounts.
In the specific implementation process, the imaging region of supposing an asterism is the capable N row of M, and then the center-of-mass coordinate of this asterism can be obtained by following formula:
x 0 = Σ x = 1 n Σ y = 1 m F ( x , y ) x Σ x = 1 n Σ y = 1 m F ( x , y ) , y 0 = Σ x = 1 n Σ y = 1 m F ( x , y ) y Σ x = 1 n Σ y = 1 m F ( x , y )
In the formula, x0, y0 are the asterism center-of-mass coordinates of trying to achieve; X, y are the coordinates of pixel; (x y) is the gray-scale value of the capable y row of x pixel to F.
Further, two-way mass center image-generating unit 13 is by imageing sensor driver element 12, read the gray-scale value of output image two-way pixel at every turn, the principle of cutting apart according to four connected domains and the comparative result of left pixel and right grey scale pixel value and predetermined threshold value, the data of two-way pixel are carried out mark, the of equal value merging and accumulation process, to improve data parallel processing power and data processing speed.
Here, the concrete composition structure of described two-way mass center image-generating unit 13 comprises as shown in Figure 2: gray-scale value read module 21, gray-scale value comparison module 22, two-way pixel data processing module 23, background pixel processing module 24, first judge module 25, memory module 26, second judge module 27 and light spot image mass center computing module 28.
Wherein, gray-scale value read module 21 is used for reading in simultaneously the gray-scale value of two-way pixel, and the gray-scale value that reads in is sent into gray-scale value comparison module 22; Here, the two-way pixel is called left pixel and right pixel.
Gray-scale value comparison module 22 is used for the left pixel that gray-scale value read module 21 is sent and the gray-scale value of right pixel, compares with predetermined threshold value respectively, and finishes processing to the two-way pixel according to comparative result; Concrete, if having one in the gray-scale value of left pixel and right pixel, then enter two-way pixel data processing module 23 greater than predetermined threshold value, finish two-way element marking, the merging of equal value of two-way data and two-way data accumulation; If the gray-scale value of left pixel and right pixel all less than predetermined threshold value, then enters assignment module 24, the current two-way pixel of mark is also composed mark value to relevant parameter.
Two-way pixel data processing module 23, be used to finish two-way element marking, the merging of equal value of two-way data and two-way data accumulation, afterwards, for the gray-scale value of two-way pixel all greater than predetermined threshold value, enter second judge module 27, greater than predetermined threshold value, will handle the back data and send to memory module 26 for the gray-scale value of left pixel in the two-way pixel,, will handle the back data and send to first judge module 25 greater than predetermined threshold value for the gray-scale value of right pixel in the two-way pixel;
Two-way pixel data processing module 23 further comprises indexing unit 231, merge cells 232 and the unit 233 that adds up, wherein, indexing unit 231 is used to finish the two-way element marking, comparative result according to a left side/right grey scale pixel value and predetermined threshold value, for left pixel and right pixel are carried out mark, the pixel that comparative result is identical is labeled as mark of equal value, i.e. the mark of identity equality; Merge cells 232 is used to finish the merging of equal value of two-way data, according to the comparative result of a left side/right grey scale pixel value and predetermined threshold value, finishes the merging of equivalent data; The unit 233 that adds up is used to finish the two-way data accumulation, according to the comparative result of a left side/right grey scale pixel value and predetermined threshold value, finishes the adding up of left and right sides grey scale pixel value, and finishes adding up to the product of left and right sides grey scale pixel value and coordinate figure.
Background pixel processing module 24 is used at left and right sides grey scale pixel value during all less than predetermined threshold value, and the current two-way pixel of mark is a background pixel, and mark value is composed to relevant parameter.
First judge module 25, whether the leftmost pixel that is used for judging the left pixel of two-way pixel underlined value, when underlined value, enters memory module 26; When not having mark value, enter second judge module 27.
Memory module 26 is used for the value of the unit that adds up is added to the data-carrier store of mark value correspondence of equal value, and the unit zero clearing that will add up;
Here, the described unit that adds up comprises and is used for the totalizer that the product to left and right sides grey scale pixel value and coordinate figure adds up; And be used for the totalizer that the gray-scale value to left and right sides pixel adds up.
Second judge module 27 is used to judge whether entire image is handled, and under the situation about handling, enters light spot image mass center computing module 28, under the situation about being untreated, enters gray-scale value read module 21 again, reads down the two-way pixel.
Light spot image mass center computing module 28 is used for after handling the view picture image, calculates the also coordinate figure of output facula image centroid.
Concrete, the two-way element marking may further comprise the steps:
Step a1~b1: the gray-scale value that judges whether left pixel less than the gray-scale value of threshold value, right pixel greater than threshold value, and right pixel top pixel is labeled as background pixel, if then left pixel is labeled as background pixel, right pixel is labeled as new mark value, execution in step q1; Otherwise, execution in step c1.
Wherein, described background pixel can zero flag, and non-background pixel is with the nonzero value mark.Described new mark value can adopt special register-stored, is used for providing new mark value to pixel, and new mark value can be upgraded in different ways, does not repeat as long as the new mark value that provides is provided at every turn.Such as: after using new mark value at every turn, new mark value is added 1 preserve again, use for next element marking.
Step c1~d1: the gray-scale value that judges whether left pixel less than the gray-scale value of threshold value, right pixel greater than threshold value, and right pixel top element marking is non-vanishing, if then left pixel is labeled as zero, right pixel is labeled as the mark value of top pixel, execution in step q1; Otherwise, execution in step e1.
Step e1~f1: greater than threshold value, and left pixel leftmost pixel mark is non-vanishing greater than the gray-scale value of threshold value, right pixel for the gray-scale value that judges whether left pixel, if, the mark value of then that left pixel is identical with right element marking leftmost pixel, execution in step q1; Otherwise, execution in step g1.
Here, the leftmost pixel of right pixel is exactly left pixel, so left and right sides pixel has only leftmost pixel of left pixel.
Step g 1~h1: the gray-scale value that judges whether left pixel greater than the gray-scale value of threshold value, right pixel greater than threshold value, and it is non-vanishing that left pixel leftmost pixel is labeled as zero, left pixel top element marking, if, the mark value of then that left pixel is identical with right element marking top pixel, execution in step q1; Otherwise, execution in step i1.
Step I 1~j1: the gray-scale value that judges whether left pixel greater than the gray-scale value of threshold value, right pixel greater than threshold value, and it also is zero that left pixel leftmost pixel is labeled as zero, left pixel top element marking, if, then that left pixel is identical with right element marking new mark value, execution in step q1; Otherwise, execution in step k1.
Step k1~l1: the gray-scale value that judges whether left pixel greater than the gray-scale value of threshold value, right pixel less than threshold value, and left pixel leftmost pixel mark is non-vanishing, if then left pixel is labeled as the mark value of leftmost pixel, right pixel is labeled as zero, execution in step q1; Otherwise, execution in step m1.
Step m1~n1: the gray-scale value that judges whether left pixel greater than the gray-scale value of threshold value, right pixel less than threshold value, and it is non-vanishing that left pixel leftmost pixel is labeled as zero, left pixel top element marking, if, then left pixel is labeled as the mark value of top pixel, right pixel is labeled as zero, execution in step q1; Otherwise, execution in step o1.
Step o1~p1: the gray-scale value that judges whether left pixel greater than the gray-scale value of threshold value, right pixel less than threshold value, and it also is zero that left pixel leftmost pixel is labeled as zero, left pixel top element marking, if then left pixel is labeled as new mark value, right pixel is labeled as zero, execution in step q1; Otherwise, direct execution in step q1.
Step q1: the mark value of current two-way pixel is composed last mark parameter group to separately, and right element marking value is composed to left flag parameters.
Here, can go up the mark parameter group, by register-stored left side flag parameters by the buffer storage.Wherein, left side flag parameters is a mark value, be changed to zero during initialization, last mark parameter group is used to preserve a group echo parameter value, can adopt an array, respectively corresponding pixel of each mark in this group, such as: there are 10 pixels in delegation, should go up the mark parameter group is exactly the mark group of being made up of 10 marks, and each mark is to a pixel in should going, and the initial value of this group echo parameter is zero.Accordingly, when assignment, just the mark value of current pixel is composed to the flag parameters in the last mark parameter group of corresponding current pixel, such as: there are 10 pixels in delegation, last mark parameter group comprises 10 flag parameters, current pixel is the 5th pixel of affiliated row, and so, described assignment is composed the mark value of current pixel to the 5th flag parameters in the last mark parameter group with regard to being meant.When judging, the mark value of the top pixel of described current pixel also is to look for the flag parameters corresponding with the current pixel sequence number to differentiate in last mark parameter group.
The merging of two-way data specifically may further comprise the steps:
Step a2~b2: when judging left pixel greater than threshold value, whether left side pixel top pixel and leftmost pixel be all underlined but mark is unequal, if, then the data of left pixel top element marking corresponding memory space are read and be added to leftmost pixel mark corresponding memory space, and empty top element marking corresponding memory space; Otherwise, execution in step c2;
Step c2~d2: when judging left pixel and right pixel all greater than threshold value, whether left pixel top pixel is unmarked, and right pixel top pixel is underlined and unequal with the mark of left pixel, if, then the data of right pixel top element marking corresponding memory space are read and be added to left element marking corresponding memory space, and empty top element marking corresponding memory space; Otherwise, do not carry out any processing.
The two-way data accumulation specifically may further comprise the steps:
Step a3~b3: the gray-scale value that judges whether left pixel less than the gray-scale value of threshold value and right pixel greater than threshold value, if then the product of right grey scale pixel value and coordinate figure is composed to first totalizer, and the gray-scale value of right pixel is composed to second totalizer; Otherwise, execution in step c3;
Step c3~d3: the gray-scale value that judges whether left pixel greater than the gray-scale value of threshold value and right pixel less than threshold value, if, then the product of left grey scale pixel value and coordinate figure and the value of first totalizer are added up, upgrade the value of first totalizer afterwards with accumulated value; And the gray-scale value of left pixel and the value of second totalizer added up, upgrade the value of second totalizer afterwards with accumulated value; Otherwise, execution in step e3;
Step e3~f3: the gray-scale value that judges whether left pixel and right pixel is all greater than threshold value, if, then the product of left and right sides grey scale pixel value and coordinate figure and the value of first totalizer are added up, upgrade the value of first totalizer afterwards with accumulated value; And the gray-scale value of left and right sides pixel and the value of second totalizer added up, upgrade the value of second totalizer afterwards with accumulated value; Otherwise, do not carry out any processing;
Here, first totalizer is used for the product of left and right sides grey scale pixel value and coordinate figure is added up; Second totalizer is used for the gray-scale value of left and right sides pixel is added up.
Star tracking cell 14 is used for the celestial body of the current visual field of celestial body information trace that recognized according to previous moment, obtains celestial body information.Generally, star sensor is after obtaining whole day soccer star figure recognition result, and duty can change tracing mode over to, and tracing mode is the groundwork pattern of star sensor.
In order to follow the tracks of all celestial bodies, influence tracking velocity and data updating rate for fear of the transmission raw image data, the present invention is in the two-way mass center imaging, directly on the basis of output barycenter data but not raw image data, adopting China Patent No. is the fast tracting method of star sensor that provides in the patent of ZL200510084010.9, and position-based information realizes not having the coupling tracking of feedback, non-window.Concrete tracing process is: to the celestial body of current time according to its positional information, seek previous moment and its celestial body that has traced into that on the position, mates, if find one and have only a celestial body and its coupling, then coupling is discerned successfully, and the information of current celestial body (comprising right ascension, declination, magnitude, asterisk) is consistent with the celestial body information of the previous moment that matches.This tracking can tracking field of view on all celestial bodies, and because data quantity transmitted is little, the speed of tracing process improves, for star sensor lofty stance computational accuracy of the present invention and high data updating rate provide assurance.
Star atlas recognition unit 15 is used for discerning star chart from the whole day ball, and the star chart that identifies is sent to attitude calculation unit 16.
It is disclosed improved triangle star algorithm in the patent of ZL200410102585.4 that this unit adopts China Patent No., uses the mode of angular distance coupling to realize leg-of-mutton coupling, can avoid storing triangle and the too big problem of memory capacity that must face.This algorithm need not to rely on monochrome information accurately, therefore has higher feasibility.And, by by interval storage star to utilize status indicator to carry out triangle identification, the speed of algorithm is greatly improved, whole day ball recognition time only is 0.5s, and general whole day ball recognition time is all more than the second level, thereby guaranteed the high data updating rate of star sensor under the identification of whole day ball.
Attitude calculation unit 16, adopt the quaternary element of widespread use in the star sensor, the information of all celestial bodies that trace into according to star tracking cell 14 or the celestial body information that star atlas recognition unit 15 recognizes at the whole day ball calculate the accurate attitude of star sensor, and with the star sensor attitude output that calculates.Concrete attitude how to calculate star sensor belongs to prior art, repeats no more here.
Navigation star database 17, be used to store the navigational star table of dividing through equal even zero laps, concrete, it is disclosed scheme in the patent of ZL200510002220.9 that the present invention adopts China Patent No.: under rectangular coordinate system the sky district is divided again: connect square in celestial sphere the celestial sphere sphere is divided into six zones uniformly, the line on each four summit, side of it ball center and square constitutes a cone, and cone and spheres intersect also are divided into six; Each piece in six is divided into the fritter of N * N with it, and like this, whole celestial sphere sphere can be divided into 6 * N * N sub-piece.
After according to above method celestial sphere being divided, scan navigational star table again, every nautical star all can be belonged in the corresponding sub-piece, set up a partition table.Like this, if direction vector or right ascension declination coordinate that the known optical axis points to, the sub-piece that could in the sky district, find corresponding sub block and close on rapidly.
For ease of retrieve the nautical star of its close region fast from the sequence number of nautical star, the sequence number of sub-piece under the nautical star also can be stored in the navigational star table.Utilize above method to make up navigational star table and partition table, just can realize quick retrieval from initial attitude (optical axis sensing) or nautical star sequence number to the interior navigational star table of certain neighborhood scope.This method no longer needs to travel through whole navigational star table to the retrieval of nautical star, and the scope of average search is former 9/486=1/54, can improve search speed greatly.
Based on the structure that Fig. 1 provides, optical imaging system 10 is imaged on starry sky image on the imageing sensor 11; In the FPGA signal processing unit under the driving of imageing sensor driver element 12, imageing sensor 11 is converted to electric signal with light signal, and passes to two-way mass center image-generating unit 13; Two-way mass center image-generating unit 13 extracts the positional information of celestial body in the observation visual field, and exports to follow-up RISC signal processing unit; The navigational star table that star atlas recognition unit 15 in the RISC signal processing unit, star tracking cell 14 are stored according to navigation star database 17, finishing importance in star map recognition and star follows the tracks of, that is: in navigation star database 17, find the correspondence of observation star to mate, realize the pattern-recognition of star and do not have the non-window tracking of feedback; And utilize these coupling stars right direction vector information calculations to go out the three-axis attitude of star sensor, output attitude information by attitude calculation unit 16.
The above is preferred embodiment of the present invention only, is not to be used to limit protection scope of the present invention.

Claims (5)

1. the star sensor of a superhigh precision, it is characterized in that this star sensor comprises optical imaging system, imageing sensor, imageing sensor driver element, two-way mass center image-generating unit, star tracking cell, star atlas recognition unit, attitude calculation unit and navigation star database; Wherein,
Optical imaging system is used for starry sky image is imaged on imageing sensor;
Imageing sensor is used under the driving of imageing sensor driver element light signal being converted to electric signal, and passes to the two-way mass center image-generating unit;
The imageing sensor driver element is used to drive imageing sensor;
The two-way mass center image-generating unit is used for that the two-way pixel of reading in is simultaneously carried out the two-way pixel data and handles, and after handling the view picture image, the center-of-mass coordinate of output facula image is given star tracking cell and star atlas recognition unit;
The star tracking cell is used for the celestial body of the current visual field of celestial body information trace that recognized according to previous moment, obtains celestial body information;
Star atlas recognition unit is used for discerning star chart from the whole day ball;
Attitude calculation unit, the information that is used for celestial body information that recognizes according to the whole day ball or all celestial bodies that trace into calculates the accurate attitude of star sensor, and with the star sensor attitude output that calculates;
Navigation star database is used to store navigational star table;
Wherein, described imageing sensor is the big array image sensor of 2048 * 2048 pixels.
2. star sensor according to claim 1 is characterized in that, described imageing sensor driver element and two-way mass center image-generating unit are integrated on the FPGA; Described star tracking cell, star atlas recognition unit and attitude calculation unit are integrated on the RISC.
3. star sensor according to claim 1, it is characterized in that described two-way mass center image-generating unit further comprises: gray-scale value read module, gray-scale value comparison module, two-way pixel data processing module, background pixel processing module, first judge module, memory module, second judge module and light spot image mass center computing module; Wherein,
The gray-scale value read module is used for reading in simultaneously the gray-scale value of two-way pixel, and the gray-scale value that reads in is sent into the gray-scale value comparison module;
The gray-scale value comparison module is used for the gray-scale value of two-way pixel that the gray-scale value read module is sent, compares with predetermined threshold value respectively, and finishes processing to the two-way pixel according to comparative result;
Two-way pixel data processing module, be used to finish two-way element marking, the merging of equal value of two-way data and two-way data accumulation, afterwards, to the gray-scale value of two-way pixel all greater than predetermined threshold value, enter second judge module, the gray-scale value of left pixel will be handled the back data and send to memory module greater than predetermined threshold value in the two-way pixel, the gray-scale value of right pixel will be handled the back data and send to first judge module greater than predetermined threshold value in the two-way pixel;
Further, two-way pixel data processing module comprises: indexing unit, merge cells and the unit that adds up; Wherein,
Indexing unit is used to finish the two-way element marking, according to the comparative result of left and right sides grey scale pixel value and predetermined threshold value, carries out mark for left pixel and right pixel, and the pixel that comparative result is identical is labeled as mark of equal value;
Merge cells is used to finish the merging of equal value of two-way data, according to the comparative result of a left side/right grey scale pixel value and predetermined threshold value, finishes the merging of equivalent data;
The unit that adds up is used to finish the two-way data accumulation, according to the comparative result of a left side/right grey scale pixel value and predetermined threshold value, finishes the adding up of left and right sides grey scale pixel value, and finishes adding up to the product of left and right sides grey scale pixel value and coordinate figure;
The background pixel processing module is used at left and right sides grey scale pixel value during all less than predetermined threshold value, and the current two-way pixel of mark is a background pixel, and mark value is composed to relevant parameter;
First judge module, whether the leftmost pixel that is used for judging the left pixel of two-way pixel underlined value;
Memory module is used for the value of the unit that adds up is added to the data-carrier store of mark value correspondence of equal value, and the unit zero clearing that will add up;
Second judge module is used to judge whether entire image is handled;
The light spot image mass center computing module is used for after handling the view picture image, calculates the also coordinate figure of output facula image centroid.
4. according to the described star sensor of claim 3, it is characterized in that the described unit that adds up comprises and be used for first totalizer that the product to left and right sides grey scale pixel value and coordinate figure adds up, and be used for second totalizer that the gray-scale value to left and right sides pixel adds up.
5. star sensor according to claim 3 is characterized in that, described star tracking cell position-based information realizes not having feedback, non-window coupling is followed the tracks of.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102410844A (en) * 2011-08-12 2012-04-11 北京航空航天大学 Method and device for correcting non-uniformity of image of high-dynamic star sensor

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102175259B (en) * 2010-12-31 2012-11-14 北京控制工程研究所 Autonomous navigation simulation test system based on earth-sun-moon integrated sensor
CN102155945B (en) * 2011-03-08 2012-12-05 哈尔滨工业大学 Method for improving dynamic performance of CCD star sensor
CN102252664B (en) * 2011-04-18 2013-01-23 北京航空航天大学 Fixed star gyroscope and implementation method thereof
CN102252678B (en) * 2011-04-18 2013-01-23 北京航空航天大学 High dynamic and high update rate star sensor and implementation method thereof
CN102759348B (en) * 2012-07-18 2014-04-16 宁波舜宇电子有限公司 System for automatically identifying coordinates of shooting sites by using star-field digital photography
CN102927973B (en) * 2012-10-24 2015-07-08 北京控制工程研究所 Quick edge locating method of sub pixel image of target celestial body for deep space exploration autonomous navigation
CN103323027B (en) * 2013-05-30 2015-07-08 北京控制工程研究所 Star point reconstruction-based star sensor dynamic-compensation method
CN103438905B (en) * 2013-08-30 2016-01-20 中国人民解放军第二炮兵工程大学 A kind of star sensor star catalogue complete evaluation method
CN103968845B (en) * 2014-04-15 2016-08-31 北京控制工程研究所 A kind of DSP Yu FPGA parallel multi-mode star image processing method for star sensor
RU2585179C1 (en) * 2014-11-14 2016-05-27 Общество с ограниченной ответственностью "Азмерит", ООО "Азмерит" Method of improving accuracy of determining celestial orientation and prolonged maintenance of high accuracy of determining orientation and apparatus therefor
CN105243075B (en) * 2015-08-07 2018-08-31 北京控制工程研究所 A kind of star sensor whole day ball greatly organizes the improvement searching method of identification
CN107507123B (en) * 2017-06-20 2018-10-02 上海航天控制技术研究所 The quick wave door image processing system of star sensor and method
CN107843254B (en) * 2017-10-29 2020-08-14 上海航天控制技术研究所 Data processing unit of space star sensor
CN108362292A (en) * 2018-02-13 2018-08-03 上海航天控制技术研究所 A kind of Mars navigation sensor mounting arrangement optimization method based on genetic algorithm
CN111504329B (en) * 2020-06-12 2022-07-29 上海航天控制技术研究所 High-speed hardware platform of navigation sensor based on FPGA and DSP
CN112200855B (en) * 2020-09-29 2022-11-22 中国科学院长春光学精密机械与物理研究所 Star point centroid extraction method of multi-channel image of star sensor and star sensor

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1796938A (en) * 2004-12-28 2006-07-05 北京航空航天大学 Method for recognising star map based on triangle character
CN1808524A (en) * 2005-01-18 2006-07-26 北京航空航天大学 Method of dividing navigational star table
CN101363718A (en) * 2008-09-17 2009-02-11 北京航空航天大学 Two-way mass center tracking imaging method and device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1796938A (en) * 2004-12-28 2006-07-05 北京航空航天大学 Method for recognising star map based on triangle character
CN1808524A (en) * 2005-01-18 2006-07-26 北京航空航天大学 Method of dividing navigational star table
CN101363718A (en) * 2008-09-17 2009-02-11 北京航空航天大学 Two-way mass center tracking imaging method and device

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
JP2004-340784A 2004.12.02
北京航空航天大学学报》.2005,第31卷(第4期),第381-384页. *
李杰.APS星敏感器关键技术的研究.《中国博士学位论文全文数据库》.2006,第4-12页. *
郝雪涛,江洁,张广军.MOS星敏感器图像驱动及实时星点定位算法.&lt *
郝雪涛,江洁,张广军.MOS星敏感器图像驱动及实时星点定位算法.<北京航空航天大学学报》.2005,第31卷(第4期),第381-384页.

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102410844A (en) * 2011-08-12 2012-04-11 北京航空航天大学 Method and device for correcting non-uniformity of image of high-dynamic star sensor

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