CN109444827A - A kind of orientation interpolation method shown for identification by radar echoes - Google Patents
A kind of orientation interpolation method shown for identification by radar echoes Download PDFInfo
- Publication number
- CN109444827A CN109444827A CN201811290044.7A CN201811290044A CN109444827A CN 109444827 A CN109444827 A CN 109444827A CN 201811290044 A CN201811290044 A CN 201811290044A CN 109444827 A CN109444827 A CN 109444827A
- Authority
- CN
- China
- Prior art keywords
- radar
- point
- display pixel
- pixel
- sampled point
- 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.)
- Granted
Links
Classifications
-
- 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
- G01S7/28—Details of pulse systems
- G01S7/285—Receivers
- G01S7/295—Means for transforming co-ordinates or for evaluating data, e.g. using computers
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
A kind of orientation interpolation method shown for identification by radar echoes, which is characterized in that include the following steps, Step 1: the corresponding relationship of pixel and sampled point is established, according to coordinate transformation relationθp=atan (Y/X) calculates pixel (X, Y) and sampled point (R, θp) corresponding relationship, and formed storage respective distances ring radius value data form；Count the pixel number S on different distance ringR, according to N=round (log2(SR)) quantizing pixel number, i.e., to pixel number S when subsequent display is handledRAccording to 2NPoint interpolation；The present invention than existing methods, can better adapt to the Radar Products of different working modes and different wave, preferably the requirement of adaptation different direction sample rate, the especially radar of high-resolution long distance；This algorithm can preferably adapt to the radar operation mode of different systems.
Description
Technical field
The present invention is a kind of orientation interpolation method shown for identification by radar echoes, especially suitable near region near region
Video flashes, Small object are easily lost；There is the visualization display of the radar video of fatal position location phenomenon in far field.
Background technique
Rotary scanning type occupies larger proportion in various radar, and spin scanning radar mostly uses plan-position display side
Formula shows that the visualization display of radar video is the main appearance form of this kind of radar detection result.Plan-position display is presented
Large-scale background area, forms the navigation information and situation information of target, and common radar includes pathfinder, right
Sky search or surveillance radar.
Scope display mode causes the two class problems that radar video is shown: display blind area phenomenon and fatal position location
Phenomenon.Display blind area phenomenon appears in radar near region, since display resolution is lower than radar sampling rate near region, causes to show
The video data of near region difference pulse writes on same video memory address, and near region video flashes, Small object is caused easily to lose
It loses；Fatal position location phenomenon shows as appearing in the far field of radar, and radar resolution reduces herein, and radius more big data density is lower,
There is the blank pixel not covered in display pixel, black color dots are presented.
The approach that one kind solves fatal position location phenomenon is to improve the transmitting-receiving pulse frequency of radar, improves azimuth sample rate, guarantees
Distant location emits pulse relative redundancy, and there is no display fatal position locations.The method radar hardware cost greatly improves, more radars
Take software processing mode.
Summary of the invention
The object of the present invention is to provide a kind of orientation interpolation methods shown for identification by radar echoes, fail in radar
When meeting the abundant sampling condition in orientation, scene information still can be preferably presented in plan-position display pattern.One kind is regarded for radar
The orientation interpolation method that frequency echo is shown, which is characterized in that include the following steps,
Step 1: establishing the corresponding relationship of pixel and sampled point
According to coordinate transformation relationθp=atan (Y/X) calculate pixel (X, Y) with
Sampled point (R, θp) corresponding relationship, and formed storage respective distances ring radius value data form；
Count the pixel number S on different distance ringR, according to N=round (log2(SR)) quantizing pixel number, i.e., it is subsequent
To pixel number S when display processingRAccording to 2NPoint interpolation；
Step 2: being shown to orientation interpolation radar return
Radar pulse repetition frequency and antenna rotation rate are obtained according to radar system parameters, calculates radar according to following formula
Show individual pen along the sampling number in orientation:
Wherein, PRF is radar pulse repetition frequency, and n is antenna rotation rate；
Step 3: display pixel area divides
The corresponding display pixel area in radar sampling region is divided near region, middle area and three, far field region:
Compare rang ring quantification treatment points and scan the umber of pulse to be formed with individual pen, if meeting N < round (log2
(SA)), divide the display pixel point on respective distance ring near region；
If meeting N=round (log2(SA)), then the display pixel point on respective distance ring divides middle area into；
If meeting N > round (log2(SA)), then the display pixel point on respective distance ring divides far field into, wherein N
For,；round(log2(SA)) be,
Step 4: display pixel area classification processing
The down-sampled elimination redundancy near region shows data, and Variable sampling processing is not done in middle area, and far field rises sample interpolation processing display
Data；
2. a kind of orientation interpolation method shown for identification by radar echoes according to claim 1, feature exist
In, the step four display pixel area classification processing, specific processing is
A. near region disappear redundancy processing
The sampled point of display pixel respective distances is subjected to time-frequency conversion (Fast Fourier Transform, FFT), frequency-region signal
Using low-pass filtering treatment, retain 2 in frequency domainNrPoint, back side matching points carry out video inverse transformation, i.e., against quick Fourier
Leaf transformation, IFFT；The neighbouring close selection display pixel point of sampled point angle of data after extraction；
B. middle area's display processing
Without time-frequency conversion and inversion process, the direct sampled point of radar is as the subsequent alternative point of display；Radar is straight
Connect the neighbouring close selection display pixel point of sampled point angle of sampled data.
C. far field interpolation processing
The sampled point of display pixel respective distances is subjected to time-frequency conversion, i.e. Fast Fourier Transform, FFT, frequency-region signal
It is first filtered using the high-cut filter of 3.6 type selectings, high fdrequency component zero padding value is formed 2NrPoint frequency-region signal, then orientation matches
Point carries out video inverse transformation, i.e., against Fast Fourier Transform, IFFT；Pass through the FFT point number curve and phase used on different radii
The table answered, the neighbouring close selection display pixel point of sampled point angle of data after interpolation.
The present invention than existing methods, can better adapt to the Radar Products of different working modes and different wave, preferably
Adapt to the requirement of different direction sample rate, the especially radar of high-resolution long distance；This algorithm can preferably adapt to different systems
Radar operation mode.
The present invention has the advantage that
1) Radar Products of different working modes and different wave are better adapted to, preferably the sampling of adaptation different direction
Rate requirement, the especially radar of high-resolution long distance；This algorithm can preferably adapt to the radar operation mode of different systems；
2) requirement of radar rotating mechanism, this algorithm workflow not point of azimuth sample caused by by revolving speed deviation are reduced
Number increase and decrease influences；
3) algorithm is relatively stable, and sampled point and video pixel point correspondence are more stable, the impacted condition of radar revolving speed
Lower video, which is shown, will not occur significant change；
4) algorithm is close to conventional method, and Virtual Realization azimuth sample, other subsequent processings can continue to retain；
5) radar signal mostly uses frequency domain processing technique, and the processing of radar return view interpolation uses similar techniques；Radar is aobvious
Show and used for reference signal processing technology, is conducive to the coordinating and unifying planning of front and rear end.
Detailed description of the invention
Fig. 1, interpolation processing flow chart in orientation of the present invention
Fig. 2, the corresponding radius number of present invention pixel point
Interpolation points schematic diagram on Fig. 3, different distance ring of the present invention
Fig. 4, radar asorbing paint block plan of the present invention
Fig. 5-1, different distance ring FFT of the present invention points schematic diagram；
Fig. 5-2, different distance ring FFT of the present invention points list.
The neighbouring sampled point angle approaching of Fig. 6, the present invention chooses process flow diagram；
Fig. 7, (Gaussian function domain is infinite interval to present invention truncation Gaussian function figure, intercepts central area shape herein
At truncation Gaussian function).
Fig. 8-1, low-pass filter of the present invention show wave figure；
Fig. 8-2, high-cut filter of the present invention show wave figure.
Specific embodiment
A kind of orientation interpolation method shown for identification by radar echoes, which is characterized in that include the following steps,
Step 1: establishing the corresponding relationship of pixel and sampled point
According to coordinate transformation relationθp=atan (Y/X) calculate pixel (X, Y) with
Sampled point (R, θp) corresponding relationship, and formed storage respective distances ring radius value data form；
Count the pixel number S on different distance ringR, according to N=round (log2(SR)) quantizing pixel number, i.e., it is subsequent
To pixel number S when display processingRAccording to 2NPoint interpolation；
Step 2: being shown to orientation interpolation radar return
Radar pulse repetition frequency and antenna rotation rate are obtained according to radar system parameters, calculates radar according to following formula
Show individual pen along the sampling number in orientation:
Wherein, PRF is radar pulse repetition frequency, and n is antenna rotation rate；
Step 3: display pixel area divides
The corresponding display pixel area in radar sampling region is divided near region, middle area and three, far field region:
Compare rang ring quantification treatment points and scan the umber of pulse to be formed with individual pen, if meeting N < round (log2
(SA)), divide the display pixel point on respective distance ring near region；
If meeting N=round (log2(SA)), then the display pixel point on respective distance ring divides middle area into；
If meeting N > round (log2(SA)), then the display pixel point on respective distance ring divides far field into, wherein N
For,；round(log2(SA)) be,
Step 4: display pixel area classification processing
The down-sampled elimination redundancy near region shows data, and Variable sampling processing is not done in middle area, and far field rises sample interpolation processing display
Data；
2. a kind of orientation interpolation method shown for identification by radar echoes according to claim 1, feature exist
In, the step four display pixel area classification processing, specific processing is
A. near region disappear redundancy processing
The sampled point of display pixel respective distances is subjected to time-frequency conversion (Fast Fourier Transform, FFT), frequency-region signal
Using low-pass filtering treatment, retain 2 in frequency domainNrPoint, back side matching points carry out video inverse transformation, i.e., against quick Fourier
Leaf transformation, IFFT；The neighbouring close selection display pixel point of sampled point angle of data after extraction；
B. middle area's display processing
Without time-frequency conversion and inversion process, the direct sampled point of radar is as the subsequent alternative point of display；Radar is straight
Connect the neighbouring close selection display pixel point of sampled point angle of sampled data.
C. far field interpolation processing
The sampled point of display pixel respective distances is subjected to time-frequency conversion, i.e. Fast Fourier Transform, FFT, frequency-region signal
It is first filtered using the high-cut filter of 3.6 type selectings, high fdrequency component zero padding value is formed 2NrPoint frequency-region signal, then orientation matches
Point carries out video inverse transformation, i.e., against Fast Fourier Transform, IFFT；Pass through the FFT point number curve and phase used on different radii
The table answered, the neighbouring close selection display pixel point of sampled point angle of data after interpolation.
The present invention is that the software approach of solution fatal position location phenomenon is in scanning area by data original in video memory
It reads out and write-back is weighted with data to be written.
The essence of this method is that the orientation coverage density of the random error increase radar of first phase is swept using search radar ring,
Reduce the blind spot of radar bearing sampling.
2R × sin (360/2N)≤12 π r, true calculated result such as figure π R2；Radar actual samples points are about 2 π R2, see
Figure conventional method is constrained by hardware condition, can reduce hardware constraints using software implementation technology, simplify azimuth dimension sampled point,
Equivalent, Fast Fourier Transform data Variable sampling, frequency domain information control of coordinate points position approximation etc. becomes this technology most feature
Content.The actual use range of radar, which is extended, by this method progress orientation interpolation and solves radar conventional video shows
Show the constraint condition by hardware.
The orientation interpolation method shown herein for identification by radar echoes is set to give a kind of adaptable orientation interpolation
Software approach, when radar is not able to satisfy the abundant sampling condition in orientation, scene still can be preferably presented in plan-position display pattern
Information.Rang ring is innovatively divided near region, middle area and three kinds of far field situation, by interpolation processing or extracts processing satisfaction
Azimuth sample requirement on different distance ring, wherein middle area's rang ring sampling matching does not need interpolation processing, near region rang ring then
Since orientation sampled point excessively takes extraction to handle, far field rang ring owes the state of adopting since sampling number is in, and passes through interpolation
Sampling number can be supplemented.Radar video orientation interpolation technique flow chart is divided into radar data sampling pretreatment, data sectional
Processing, multidomain treat-ment and neighbouring sampled point angle approaching choose four key steps of processing, and Fig. 1 is corresponding for orientation interpolation technique
Flow chart.
3.1 establish the corresponding relationship of pixel and sampled point
According to coordinate transformation relationθp=atan (Y/X) calculate pixel (X, Y) with
Sampled point (R, θp) corresponding relationship, and formed storage respective distances ring radius value data form；Physical memory regions only retain
A quarter region, Fig. 2 are the corresponding radius value figure of different display pixels.
Count the pixel number S on different distance ringR, according to N=round (log2(SR)) quantizing pixel number, i.e., it is subsequent
To pixel number S when display processingRAccording to 2NPoint interpolation.Fig. 3 is interpolation points schematic diagram on different distance ring.
3.2 orientation interpolation radar returns show process flow
Radar pulse repetition frequency (PRF) and antenna rotation rate (n) are obtained according to radar system parameters first, is respectively corresponded
Radar pulse emission rate and scanner rotating rate calculate radar asorbing paint individual pen along the sampling number in orientation according to following formula.
3.3 display pixel areas divide
Radar sampling region division is near region, middle area and three, far field region by lower surface treatment:
Compare rang ring quantification treatment points and scan the umber of pulse to be formed with individual pen, if meeting N < round (log2
(SA)), divide the display pixel point on respective distance ring near region；
If meeting N=round (log2(SA)), then the display pixel point on respective distance ring divides middle area into；
If meeting N=round (log2(SA)), then the display pixel point on respective distance ring divides far field into.Fig. 4 is radar
It shows block plan, is successively near region, middle area and far field from inside to outside.
3.4 display pixel area classification processings
Viewing area is handled respectively according to different sections, and the down-sampled elimination redundancy near region shows data, and Variable sampling is not done in middle area
Processing, far field rise sample interpolation processing display data.
Near region disappear redundancy processing
The sampled point of display pixel respective distances is subjected to time-frequency conversion (Fast Fourier Transform, FFT), frequency-region signal
Using the low-pass filtering treatment of 3.6 selected parts types, retain 2 in frequency domainNrPoint, it is (inverse that back side matching points carry out video inverse transformation
Fast Fourier Transform, IFFT)；Data are according to 3.5 sections adjacent to the close selection display pixel point of sampled point angle after extraction.
Middle area's display processing
Without time-frequency conversion and inversion process, the direct sampled point of radar is as the subsequent alternative point of display；Radar is straight
Sampled data is connect according to 3.5 sections adjacent to the close selection display pixel point of sampled point angle.
Far field interpolation processing
The sampled point of display pixel respective distances is subjected to time-frequency conversion (Fast Fourier Transform, FFT), frequency-region signal
It is first filtered using the high-cut filter of 3.6 type selectings, high fdrequency component zero padding value is formed 2NrPoint frequency-region signal, then orientation matches
Point carries out video inverse transformation (inverse Fast Fourier Transform, IFFT)；Fig. 5 is the FFT point number curve used on different radii and phase
The table answered.Data are according to 3.5 sections adjacent to the close selection display pixel point of sampled point angle after interpolation.
3.5 adjacent to the close choosing method of sampled point angle
Neighbouring sampled point selection is handled, and is chosen neighbour's candidate point at pixel according to angular relationship and is shown.It introduces empty
Quasi- bearing swing amount, the corresponding sampled point of Iterative matching pixel are allowed to error angle minimum, the corresponding display sampled point of pixel
Gray value.
Fig. 6 is the flow chart that neighbouring sampled point angle approaching chooses processing technique.
3.5.1 sampled point sorts respectively with pixel
Sampled point and pixel are arranged successively according to distance resolution by rang ring radius is ascending；
Radar sampling point (R, θ are arranged in anglep), by the point on different distance ring along θpAscending is counterclockwise suitable
Sequence arranges, here angle, θpValue range be 0 ° -360 ° (are free of 360 °), angular dimension is identical between sampled point, is expressed as
Δθ；
Display pixel point divides the different distance ring for 1 at interval along radius, arranges pixel (X, Y) in rang ring, number
Putting in order for strong point (X, Y) is descending for X, and Y is ascending；
3.5.2 matched pixel point
Initialization process: from initial display pixel point (X0, 0) start, look for θpAs t at the time of closest to 00Initial samples
Point (R, θp(t0)) matching, angle, θdI.e. as the angle rotational difference of two coordinates, θd=θp(t0)；
Lower display pixel point (X, the Y) polar coordinates of recursive calculation are (R, θ (t1)) matched sampled point, pixel meets X
=Rcos θ (t1), Y=Rsin θ (t1)。
Mark { Rcos θd, Rsin θd, cos Δ θ, sin Δ θ } and it is history triangle value set, history delta value is followed in inside
Constantly updated in ring until start new radius, above formula calculated and obtain by history triangle value set and X, Y.
More new historical triangle set forms new history triangle set { Rcos (θd+ Δ θ), Rsin (θd+ Δ θ), cos Δ
θ, sin Δ θ }, more new formula is Rcos (θd+ Δ θ)=Rcos θdcosΔθ-RsinθdSin Δ θ, Rsin (θd+ Δ θ)=
RsinθdcosΔθ+RcosθdsinΔθ.Calculate (R2cos(θ(t1)-θd), R2sin(θ(t1)-θd)), calculation formula is as follows
R2cos(θ(t1)-θd)=Rcos (θ (t1))Rcos(θd)+Rsin(θ(t1))Rsin(θd),
R2sin(θ(t1)-θd)=Rsin (θ (t1))Rcos(θd)-Rcos(θ(t1))Rsin(θd)。
Calculate whether sequentially sampled point matches display pixel point (R2cos(θ(t1)-θdΔ θ),
R2sin(θ(t1)-θdΔ θ)), calculation formula is
R2cos(θ(t1)-θdΔ θ)=Rcos (θ (t1))Rcos(θd+Δθ)
+Rsin(θ(t1))Rsin(θd+Δθ)
R2sin(θ(t1)-θdΔ θ)=Rsin (θ (t1))Rcos(θd+Δθ)
-Rcos(θ(t1))Rsin(θd+Δθ)
Same processing step calculates following radar sampling point (R, θd+ n Δ θ) and the current matching relationship for showing point, it updates
History delta value collection is { cos Δ θ, sin Δ θ, Rcos (θd+ n Δ θ), Rsin (θd+nΔθ)}。
(R is calculated by delta value collection2Cos(θ(t1)-θd- n Δ θ), R2sin(θ(t1)-θd- n Δ θ)), calculation formula is as follows
R2Cos(θ(t1)-θd- n Δ θ)=Rcos (θ (t1))Rcos(θd+nΔθ)
+Rsin(θ(t1))Rsin(θd+nΔθ)
R2sin(θ(t1)-θd- n Δ θ)=Rsin (θ (t1))Rcos(θd+nΔθ)
-Rcos(θ(t1))Rsin(θd+nΔθ)
Until current value R2sin(θ(t1)-θd- n Δ θ) meet R2sin(θ(t1)-θd- n Δ θ)≤0 condition, into matching
Condition judgement；
Matching judgment processing
Calculate abs (R2sin(θ(t1)-θd- n Δ θ)) and abs (R2sin(θ(t1)-θd(n-1) Δ θ)) value is lesser
As a result it is used as final result, corresponding sampled point respectively corresponds (R, θd+ n Δ θ), (R, θd+ (n-1) Δ θ), it is updated to correspond to
The history delta value of point.
Subsequent cycle calculating is carried out, the correspondence sampled point of coordinate (X, Y) is obtained, starting sample value is set to last time selection
Sampled point；
If current sampling point meets R2The condition of sin≤0 then directly chooses currently the only point；Otherwise continue 3.5.2 into
The matching primitives of the next sampled point of row.
3.5.3 lower outer ring pixel matching
Restart to calculate history triangle value set, the corresponding points for then starting lower Radius calculate.
The neighbouring close choosing method of sampled point angle optimizes calculating process, and calculating process with additive, based on multiplication,
Using part constant sine value sin Δ θ and cosine value cos Δ θ, data space can be reduced.
The processing of 3.6 filter type selectings
Running parameter is arranged for controlling image displaying quality in filter when being used by user.Filter selection is divided into filter
Wave device type, two class control parameter of filter bandwidht control parameter.
Filter type is set as three classes: truncation Gauss mode filter, triangle filter, rectangular filter；Truncation is high
This mode filter and triangular filter are divided into the parametric form of three kinds of setting bandwidth:-three dB bandwidth, -30dB bandwidth and -60dB band
It is three kinds wide；Fig. 7 and Fig. 8 is truncation gauss low frequency filter and truncation Gauss high-cut filter.
This paper presents a kind of orientation interpolation method shown for identification by radar echoes, this method has following technology
Feature:
1. pixel is divided near region, middle area and three, far field region according to sampled point and pixel characteristic distributions；
2. being all made of 2 in each subregionNrPoint carries out fast Flourier and inverse fast Flourier processing technique, is suitble to number letter
The processing of number software implementation；
3. devising truncation Gauss mode filter forms low-pass filter and high-cut filter, the low pass filtered for signal
Wave and high resistant inhibit；
4. devising neighbouring sampled point angle approaching chooses processing technique, handled for interpolation point selection.
Claims (2)
1. a kind of orientation interpolation method shown for identification by radar echoes, characterized in that it comprises the following steps:
Step 1: establishing the corresponding relationship of pixel and sampled point
According to coordinate transformation relationθp=atan (Y/X) calculates pixel (X, Y) and sampled point
(R,θp) corresponding relationship, and formed storage respective distances ring radius value data form；
Count the pixel number S on different distance ringR, according to N=round (log2(SR)) quantizing pixel number, i.e., at subsequent display
To pixel number S when reasonRAccording to 2NPoint interpolation；
Step 2: being shown to orientation interpolation radar return
Radar pulse repetition frequency and antenna rotation rate are obtained according to radar system parameters, calculates radar asorbing paint list according to following formula
Enclose the sampling number along orientation:
Wherein, PRF is radar pulse repetition frequency, and n is antenna rotation rate；
Step 3: display pixel area divides
The corresponding display pixel area in radar sampling region is divided near region, middle area and three, far field region:
Compare rang ring quantification treatment points and scan the umber of pulse to be formed with individual pen, if meeting N < round (log2(SA)), by phase
The display pixel point on rang ring is answered to divide near region into；
If meeting N=round (log2(SA)), then the display pixel point on respective distance ring divides middle area into；
If meeting N > round (log2(SA)), then the display pixel point on respective distance ring divides far field into, wherein N is；round
(log2(SA)) be,
Step 4: display pixel area classification processing
The down-sampled elimination redundancy near region shows data, and Variable sampling processing is not done in middle area, and far field rises sample interpolation processing display data.
2. a kind of orientation interpolation method shown for identification by radar echoes according to claim 1, which is characterized in that institute
Four display pixel area classification processing of the step of stating, specific processing are
A. near region disappear redundancy processing
The sampled point of display pixel respective distances is subjected to time-frequency conversion (Fast Fourier Transform, FFT), frequency-region signal is using low
Pass filter processing, retains 2 in frequency domainNrPoint, back side matching points carry out video inverse transformation, i.e., against Fast Fourier Transform,
IFFT；The neighbouring close selection display pixel point of sampled point angle of data after extraction；
B. middle area's display processing
Without time-frequency conversion and inversion process, the direct sampled point of radar is as the subsequent alternative point of display；Radar is directly adopted
The neighbouring close selection display pixel point of sampled point angle of sample data.
C. far field interpolation processing
The sampled point of display pixel respective distances is subjected to time-frequency conversion, i.e. Fast Fourier Transform, FFT, frequency-region signal is first adopted
It is filtered with the high-cut filter of 3.6 type selectings, high fdrequency component zero padding value is formed 2NrPoint frequency-region signal, then orientation match point carries out
Video inverse transformation, i.e., against Fast Fourier Transform, IFFT；Pass through the FFT point number curve used on different radii and corresponding table
Lattice, the neighbouring close selection display pixel point of sampled point angle of data after interpolation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811290044.7A CN109444827B (en) | 2018-10-31 | 2018-10-31 | Direction interpolation method for radar video echo display |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811290044.7A CN109444827B (en) | 2018-10-31 | 2018-10-31 | Direction interpolation method for radar video echo display |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109444827A true CN109444827A (en) | 2019-03-08 |
| CN109444827B CN109444827B (en) | 2023-05-30 |
Family
ID=65550077
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811290044.7A Active CN109444827B (en) | 2018-10-31 | 2018-10-31 | Direction interpolation method for radar video echo display |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109444827B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2067375A (en) * | 1980-01-09 | 1981-07-22 | Marconi Co Ltd | Improvements in or relating to radars |
| EP1542033A1 (en) * | 2003-12-09 | 2005-06-15 | Oerlikon Contraves Ag | Method for displaying images of a surveillance space |
| CN103376442A (en) * | 2012-04-27 | 2013-10-30 | 古野电气株式会社 | Device and method for displaying information |
| CN104360324A (en) * | 2014-10-31 | 2015-02-18 | 中国电子科技集团公司第二十八研究所 | Clutter map partitioning method based on image processing |
| US20150123835A1 (en) * | 2012-05-17 | 2015-05-07 | Deep Imaging Technologies Inc. | System and Method Using Near and Far Field ULF and ELF Interferometry Synthetic Aperture Radar for Subsurface Imaging |
| CN104914429A (en) * | 2015-05-19 | 2015-09-16 | 西安电子科技大学 | Target indication radar system capable of adaptively selecting waveform according to target distance |
-
2018
- 2018-10-31 CN CN201811290044.7A patent/CN109444827B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2067375A (en) * | 1980-01-09 | 1981-07-22 | Marconi Co Ltd | Improvements in or relating to radars |
| EP1542033A1 (en) * | 2003-12-09 | 2005-06-15 | Oerlikon Contraves Ag | Method for displaying images of a surveillance space |
| CN103376442A (en) * | 2012-04-27 | 2013-10-30 | 古野电气株式会社 | Device and method for displaying information |
| US20150123835A1 (en) * | 2012-05-17 | 2015-05-07 | Deep Imaging Technologies Inc. | System and Method Using Near and Far Field ULF and ELF Interferometry Synthetic Aperture Radar for Subsurface Imaging |
| CN104360324A (en) * | 2014-10-31 | 2015-02-18 | 中国电子科技集团公司第二十八研究所 | Clutter map partitioning method based on image processing |
| CN104914429A (en) * | 2015-05-19 | 2015-09-16 | 西安电子科技大学 | Target indication radar system capable of adaptively selecting waveform according to target distance |
Non-Patent Citations (1)
| Title |
|---|
| 毕红葵等: "光栅扫描雷达显示系统关键技术问题解决方案", 《系统工程与电子技术》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109444827B (en) | 2023-05-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106918807B (en) | A kind of Targets Dots condensing method of radar return data | |
| CN110988818B (en) | Cheating interference template generation method for countermeasure network based on condition generation formula | |
| CN107301661A (en) | High-resolution remote sensing image method for registering based on edge point feature | |
| CN106324597B (en) | The translational compensation and imaging method of big corner ISAR radar based on PFA | |
| CN108919249B (en) | Radar target distance joint estimation method based on two-dimensional local interpolation | |
| CN109116352B (en) | Circular scanning ISAR mode ship super-resolution imaging method | |
| CN108961255B (en) | Sea-land noise scene segmentation method based on phase linearity and power | |
| CN108562879A (en) | Shipborne radar CFAR detection method based on FPGA | |
| CN110046619A (en) | The full-automatic shoal of fish detection method of unmanned fish finding ship and system, unmanned fish finding ship and storage medium | |
| CN111781595A (en) | Complex maneuvering group target imaging method based on matching search and Doppler ambiguity resolution | |
| CN110929598B (en) | Unmanned aerial vehicle-mounted SAR image matching method based on contour features | |
| CN113837924B (en) | Water shoreline detection method based on unmanned ship sensing system | |
| CN113466863B (en) | SAR ship target resolution imaging method | |
| CN109444827A (en) | A kind of orientation interpolation method shown for identification by radar echoes | |
| CN112363144B (en) | Ring-scan radar distance ambiguity and azimuth ambiguity identification method | |
| CN108594196B (en) | Method and device for extracting parameters of target scattering center | |
| CN109345583B (en) | SAR target image geometric dimension estimation method based on OMP | |
| CN115407282B (en) | SAR active deception jamming detection method based on interference phase under short base line | |
| CN116559905A (en) | Undistorted three-dimensional image reconstruction method for moving target of bistatic SAR sea surface ship | |
| CN116542885A (en) | Infrared ship trail image enhancement method | |
| CN115601278A (en) | High-precision motion error compensation method based on sub-image registration | |
| CN105551013B (en) | SAR image sequence method for registering based on motion platform parameter | |
| CN105223571B (en) | The ISAR imaging method significantly paid attention to based on weighting L1 optimization with vision | |
| CN113406634A (en) | Time domain phase matching-based ISAR (inverse synthetic aperture radar) three-dimensional imaging method for space high-speed spinning target | |
| He et al. | Research on Solid Rate Filtering Technique based on Inverse Distance Weighted Interpolation of Navigation Radar |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |