CN106291470A - A kind of based on the disturbance restraining method of feature during high-frequency ground wave radar ocean current result sky - Google Patents
A kind of based on the disturbance restraining method of feature during high-frequency ground wave radar ocean current result sky Download PDFInfo
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- CN106291470A CN106291470A CN201610604716.1A CN201610604716A CN106291470A CN 106291470 A CN106291470 A CN 106291470A CN 201610604716 A CN201610604716 A CN 201610604716A CN 106291470 A CN106291470 A CN 106291470A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/023—Interference mitigation, e.g. reducing or avoiding non-intentional interference with other HF-transmitters, base station transmitters for mobile communication or other radar systems, e.g. using electro-magnetic interference [EMI] reduction techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
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Abstract
The invention provides a kind of based on the disturbance restraining method of feature during high-frequency ground wave radar ocean current result sky, the method can form complementation with existing interference suppression algorithm, improve the accuracy of high-frequency ground wave radar ocean current result.Comprise the steps of: being obtained ocean current field data by high-frequency ground wave radar observation, ocean current field data is the grid data being made up of multiple spatial point, utilizes the disappearance mesh point of room and time interpolation algorithm polishing ocean current field data and builds covariance matrix.Covariance matrix is carried out feature decomposition and obtains spatial signature vectors corresponding to each mesh point and time coefficient sequence.The spatial signature vectors of each mesh point is spatially carried out interference removal.Each mesh point time coefficient sequence carries out interference remove.Threshold value S according to the cumulative proportion in ANOVA set judges primary modal number l.Front l mode is reconstructed by characteristic vector and time coefficient after utilizing interference to remove, obtains the data after AF panel after reconstruct.
Description
Technical field
The invention belongs to radio ocean remote sensing and digital processing field, be specifically related to a kind of based on high-frequency ground wave thunder
The disturbance restraining method of feature when reaching ocean current result sky.
Background technology
High-frequency ground wave radar (High Frequency Surface Wave Radar, HFSWR) utilizes shortwave (3-
30MHz) the ocean surface diffraction propagation little feature of decay can with large area, round-the-clock, time the real table providing observation marine site
Layer ocean current result.The surface flow field that high-frequency ground wave radar observation obtains, through substantial amounts of marine contrast experiment, demonstrates ocean current
Accuracy, has promoted the businessization of high-frequency ground wave radar Current Observations to run, and during for studying local flow field sky, characteristic provides
Well data support.The advantages such as high-frequency ground wave radar has cheap, and time empty resolution is high.Therefore, high-frequency ground wave radar
It is the most cheap effective monitoring instrument in exclusive economic zone, there is market prospect widely.But in the process of actual motion
In, owing to there is various interference (ionospheric interference, glitch etc.), cause high-frequency ground wave radar ocean current result to exist the most different
In the result of normal value, have a strong impact on the use of high-frequency ground wave radar Current Observations result.
Traditional disturbance restraining method such as AR model linear prediction methods etc. also destroy accurately while suppression interference
High-frequency ground wave radar ocean current result empty time feature, its computation complexity is high simultaneously and is difficult to engineer applied.
Summary of the invention
In view of this, the invention provides a kind of based on the AF panel side of feature during high-frequency ground wave radar ocean current result sky
Method, the method can form complementation with existing interference suppression algorithm, improve the accuracy of high-frequency ground wave radar ocean current result.
In order to achieve the above object, when the technical scheme is that one based on high-frequency ground wave radar ocean current result sky
The disturbance restraining method of feature, comprises the steps of:
Step one, by described high-frequency ground wave radar observation obtain ocean current field data, described ocean current field data is by multiple skies
Between put the grid data of composition, utilize the disappearance mesh point of ocean current field data described in room and time interpolation algorithm polishing and build
Covariance matrix.
Step 2, the feature decomposition that carries out covariance matrix obtain spatial signature vectors corresponding to each mesh point and time system
Number Sequence.
Step 3, the spatial signature vectors of each mesh point is spatially carried out interference remove.
Step 4, each mesh point time coefficient sequence is carried out interference remove.
Step 5, judge primary modal number l according to threshold value S of cumulative proportion in ANOVA set.
Front l mode is reconstructed by characteristic vector and time coefficient after step 6, utilization interference removal, obtains after reconstruct
Must be through the data after AF panel.
Further, the concrete grammar of ocean current field data disappearance result described in room and time interpolation algorithm polishing is utilized
For:
Space interpolation algorithm is: for the disappearance mesh point in ocean current spatial sequence, first finds out this disappearance mesh point week
Enclosing the shortage of data rate of other 8 mesh points in the range of 3 × 3, if miss rate is more than 62.5%, then this mesh point cannot be mended
Together, this mesh point is not carried out interpolation processing;If shortage of data rate is below 62.5%, uses in ocean current spatial sequence and exist
Gridden data to carry out inverse distance-weighting average, obtain lacking the ocean current spatial data of mesh point.
Time difference algorithm is particularly as follows: for ocean current time series, use pusher 12.4 hours to the period of missing data
Data carry out interpolation;If the pusher data of 12.4 hours also vacancy, then 12.4 hour datas that push away before using, for pusher and front
Push away all cannot period of polishing, utilize cubic spline interpolation to carry out polishing.
Further, step 3 particularly as follows:
For spatial signature vectors, calculate respectively around each mesh point in the range of 3 × 3 the space characteristics of mesh point to
Amount, and calculate average and the standard deviation of the spatial signature vectors of all mesh points, exhausted by spatial signature vectors and the difference of average
The average of the spatial signature vectors value spatial signature vectors of the value mesh point more than 2 times of standard deviation is replaced, it is thus achieved that through dry
Disturb the spatial signature vectors after removal.
Further, step 4 is particularly as follows: for the time coefficient sequence of each mesh point, calculate its average and standard
Difference, by this mesh point time coefficient sequence with this mesh point of numerical value more than 2 times of standard deviation of the absolute value of the difference of average
Time coefficient average substitute, it is thus achieved that through interference remove after time coefficient sequence.
Beneficial effect:
1, when the present invention utilizes high-frequency ground wave radar ocean current result empty, feature carries out AF panel, does not relies on priori and knows
Knowing, have good robustness, the ocean current result obtained after AF panel is the most credible;
2, the present invention is applicable not only to high-frequency ground wave radar, applies also for folded Clutter in Skywave Radars and other various is returned by ocean
Ripple carries out radar and the equipment of ocean current inverting.
Accompanying drawing explanation
Accompanying drawing 1 is the algorithm flow chart of the present invention.
Detailed description of the invention
Develop simultaneously embodiment below in conjunction with the accompanying drawings, describes the present invention.
Embodiment 1,
Step one, set the ocean current field that obtains of high-frequency ground wave radar observation as U (Χm,tn)=u (Χm,tn)+jv(Χm,tn),
Wherein Χm=(x, y), m=1-M, represent the coordinate of M spatial point.N=1-N, representing length of time series is N.J=(-1
)1/2, represent imaginary number.U, v are respectively eastern component and the north component of ocean current.
For the missing values of each spatially, in the range of first finding out around this missing values mesh point 3 × 3 other 8
The shortage of data rate of individual mesh point, if shortage of data rate is more than 62.5%, that is has 5 shortage of datas in 8 mesh points,
Then this mesh point cannot polishing, then just this mesh point is not carried out interpolation processing.If shortage of data rate is below 62.5%,
That is with the presence of at least 4 some valid data in 8 mesh points, then just carry out inverse distance-weighting by the result having data point and put down
All, the ocean current of missing point grid is obtained.
For the ocean current time series of each spatial point, the pusher data of 12.4 hours are used the period of missing data
Interpolation.During data also vacancy when pusher 12.4 is little, the data pushed away before employing.All cannot the number of polishing for pusher and front pushing away
According to, utilize cubic spline interpolation to carry out polishing.
By ocean current field U (Χm,tn) do anomaly process, i.e. the time series of the ocean current in each spatial point is deducted this
The process of seasonal effect in time series average ocean current.Ocean current field after having processed still is designated as U (Χm,tn)。
Calculate U (Xm,tn) covariance matrix R (Xi,Xm)
Step 2, the characteristic root λ and characteristic vector Φ (Χ of calculating R (Xi, Xm)m,Χm) so that the two meets following formula:
Φ (Χ in formula (2)m,Χm) and λ be M × M dimension matrix, wherein Φ (Χm,Χm) every string between be all
Mutually orthogonal.λ has a following form:
In formula (3), characteristic root is to arrange by descending order, i.e. λ1> λ2> ... > λM, each eigenvalue correspond to Φ
(ΧmString characteristic vector value in), also referred to as one mode.
Calculate the time coefficient T (Χ that characteristic vector is correspondingm,tn):
T(Χm,tn)=Φ (Χm,Χm)U(Χm,tn) (4)
T (Χ in formula (4)m,tnIn), each row of data is exactly the time coefficient of corresponding each mode.
Step 3, for characteristic vector Φ (Χm,Χm), east component in the range of calculating around each mesh point 3 × 3 respectively
ΦEWith north component ΦEThe standard deviation sigma of characteristic vector, then by characteristic vector and characteristic vector average (With) difference
Absolute value more than 2 times of standard deviations (Or) mesh point characteristic vector value feature to
Amount average replaces.Characteristic vector after processing is designated as Φ1(Χm)
Step 4, for time coefficient T (Χm,tn), the sequence of the time coefficient of each grid is designated as y (tn), y (tn)
Average be designated asIts standard deviation is designated as σ, will meetThe value of time coefficient with this mesh point
The average of time coefficientSubstitute.Time coefficient after processing is designated as T1(Χm,tn)
Step 5, threshold value S (generally 90%) of cumulative proportion in ANOVA of the characteristic root that sets up an office judge primary modal number
Number, if the primary modal number determined is l.
Step 6, according to formula (5) utilize before l characteristic modes ocean current result is reconstructed.Reconstruction value will be obtained add
The average in time series obtained in step 4, the data set after finally being reconstructed, this data set is after AF panel
Result.
Ure(Χm,tn)=Φ1(Χm,1:l)-1·T1(1:l,tn) (5)。
To sum up, these are only presently preferred embodiments of the present invention, be not intended to limit protection scope of the present invention.All
Within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. made, should be included in the protection of the present invention
Within the scope of.
Claims (4)
1. one kind based on the disturbance restraining method of feature during high-frequency ground wave radar ocean current result sky, it is characterised in that comprise as follows
Step:
Step one, by described high-frequency ground wave radar observation obtain ocean current field data, described ocean current field data is by multiple spatial point
The grid data of composition, utilizes the disappearance mesh point of ocean current field data described in room and time interpolation algorithm polishing and builds association side
Difference matrix;
Step 2, covariance matrix is carried out feature decomposition obtain spatial signature vectors corresponding to each mesh point and time coefficient sequence
Row;
Step 3, the spatial signature vectors of each mesh point is spatially carried out interference remove;
Step 4, each mesh point time coefficient sequence is carried out interference remove;
Step 5, judge primary modal number l according to threshold value S of cumulative proportion in ANOVA set;
Front l mode is reconstructed by characteristic vector and time coefficient after step 6, utilization interference removal, obtains warp after reconstruct
Data after AF panel.
A kind of based on the disturbance restraining method of feature during high-frequency ground wave radar ocean current result sky, its
It is characterised by, described ocean current field data described in the room and time interpolation algorithm polishing disappearance result of utilizing method particularly includes:
Space interpolation algorithm is: for the disappearance mesh point in ocean current spatial sequence, first find out around this disappearance mesh point 3 ×
The shortage of data rate of other 8 mesh points in the range of 3, if miss rate is more than 62.5%, then this mesh point cannot polishing, no
This mesh point is carried out interpolation processing;If shortage of data rate is below 62.5%, use net present in ocean current spatial sequence
It is average that Grid data carries out inverse distance-weighting, obtains lacking the ocean current spatial data of mesh point;
Time difference algorithm is particularly as follows: for ocean current time series, use the pusher number of 12.4 hours to the period of missing data
According to carrying out interpolation;If the pusher data of 12.4 hours also vacancy, then 12.4 hour datas that push away before using, for pusher and before push away all
Cannot period of polishing, utilize cubic spline interpolation to carry out polishing.
A kind of based on the disturbance restraining method of feature during high-frequency ground wave radar ocean current result sky, its
Be characterised by, described step 3 particularly as follows:
For spatial signature vectors, calculate around each mesh point the spatial signature vectors of mesh point in the range of 3 × 3 respectively, and
Calculate average and the standard deviation of the spatial signature vectors of all mesh points, spatial signature vectors is big with the absolute value of the difference of average
Average in the spatial signature vectors value spatial signature vectors of the mesh points of 2 times of standard deviation replaces, it is thus achieved that remove through interference
After spatial signature vectors.
4. a kind of based on the AF panel side of feature during high-frequency ground wave radar ocean current result sky as described in claim 2 or 3
Method, it is characterised in that described step 4 is particularly as follows: for the time coefficient sequence of each mesh point, calculate its average and standard
Difference, by this mesh point time coefficient sequence with this mesh point of numerical value more than 2 times of standard deviation of the absolute value of the difference of average
Time coefficient average substitute, it is thus achieved that through interference remove after time coefficient sequence.
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Cited By (3)
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CN113064129A (en) * | 2021-03-03 | 2021-07-02 | 湖北中南鹏力海洋探测系统工程有限公司 | High-frequency ground wave radar ocean current synthesis method |
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CN117763259A (en) * | 2023-05-26 | 2024-03-26 | 国家海洋局北海预报中心((国家海洋局青岛海洋预报台)(国家海洋局青岛海洋环境监测中心站)) | High-frequency ground wave radar flow field observation data reconstruction algorithm |
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