CN104375128A - Fast high maneuvering target accumulating and detecting method based on cross-correlation functions - Google Patents

Fast high maneuvering target accumulating and detecting method based on cross-correlation functions Download PDF

Info

Publication number
CN104375128A
CN104375128A CN201410624661.1A CN201410624661A CN104375128A CN 104375128 A CN104375128 A CN 104375128A CN 201410624661 A CN201410624661 A CN 201410624661A CN 104375128 A CN104375128 A CN 104375128A
Authority
CN
China
Prior art keywords
target
pulse
represent
radar
echo
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
Application number
CN201410624661.1A
Other languages
Chinese (zh)
Other versions
CN104375128B (en
Inventor
崔国龙
李小龙
姜海超
汪兵
易伟
孔令讲
杨益川
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
University of Electronic Science and Technology of China
Original Assignee
University of Electronic Science and Technology of China
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by University of Electronic Science and Technology of China filed Critical University of Electronic Science and Technology of China
Priority to CN201410624661.1A priority Critical patent/CN104375128B/en
Publication of CN104375128A publication Critical patent/CN104375128A/en
Application granted granted Critical
Publication of CN104375128B publication Critical patent/CN104375128B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41Details 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
    • G01S7/415Identification of targets based on measurements of movement associated with the target

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

The invention provides a fast high maneuvering target accumulating and detecting method based on cross-correlation functions, belongs to the technical field of radar, and relates to a target detecting method. The method can be used for efficiently processing radar detection based on multiple phase-coherence pulse echoes in a white Gaussian noise environment. At first, the cross-correlation functions of adjacent pulses of echo signals are utilized for correcting the distance movement of a target, cross-correlation operation for the second time is used for correcting the Doppler movement of the target, and finally Flourier transformation (FFT) is used for achieving effective accumulation of target energy. As all kinds of operation can be achieved by utilizing the fast Fourier transformation, the operation amount of the detecting method is greatly reduced, phase-coherence accumulation of the variable accelerated target energy can be achieved fast, the fast detection ability of the radar to the high-speed maneuvering target can be effectively improved, and the method is beneficial for engineering realization.

Description

A kind of highly maneuvering target Rapid Accumulation detection method based on cross correlation function
Technical field
The invention belongs to Radar Technology field, relate to object detection method, can be used for efficiently processing based on the detections of radar of multiple coherent pulse echo in white Gaussian noise environment.
Background technology
Along with the development of science and technology, the especially development of aeronautical technology and high-speed target, increasing maneuvering target appears at Radar Signal Detection field.As near space high hypervelocity aircraft, its flying speed up to 25 Mach, and can do varying accelerated motion, and maneuverability is extremely strong; Also have the targets such as ballistic missile, snakelike Maneuver Penetration can be done.On the other hand, stealth technology increasingly mature, makes the Radar Cross Section of the maneuvering targets such as near space vehicle sharply reduce, causes radar return very faint, reduce the detection perform of radar.
Utilize signal processing method to realize the detection to low detectivity target, means are flexible, and cost is lower, has good application prospect.Usually long time integration can be utilized to increase the energy of target, reach the requirement improving Signal-to-Noise, thus improve radar to the detectability of target.Long time integration technology, according to the phase information whether utilizing echo signal, can be divided into non-inherent accumulation (only utilizing signal amplitude information) and correlative accumulation (simultaneously utilizing amplitude and the phase information of signal) two kinds.Compared with non-inherent accumulation technology, correlative accumulation utilizes kinetic characteristic and the doppler information of target, effectively can improve the detection perform of target inband energy and radar.The key of long-time phase-coherent accumulation is just the effective superposition to target echo energy.But the high speed of target and very strong maneuverability can make target echo envelope peak appear in different range units, are called range walk effect; On the other hand when long-time phase-coherent accumulation, the acceleration of target and rate of acceleration change can cause phase of echo to change, and the Doppler frequency of target will cross over multiple doppler cells, are called that Doppler walks about effect, makes target energy disperse at frequency domain.Range walk and Doppler walk about and traditional objective accumulation detection method can be made to lose efficacy.
In existing Research Literature, the method that maneuvering target correlative accumulation under walking about for range walk and Doppler detects, mainly contain two classes: a class is the method based on keystone conversion, but these class methods need to carry out interpolation arithmetic, also need to carry out the search of doppler ambiguity multiple, calculated amount is large simultaneously; Another kind of is the method converted based on Radon, typically has Radon-FT converter technique and Radon-FRFT converter technique, and these class methods need to carry out multi-dimensional search in the kinematic parameter space (distance, speed, acceleration etc.) of target, calculate more complicated.Generally speaking, existing method all needs to carry out interpolation arithmetic or multidimensional search operation, and computing is complicated, very time-consuming; Be unfavorable for detecting in real time fast of maneuvering target.
Summary of the invention
The deficiency that the present invention is directed to background technology proposes a kind of highly maneuvering target Rapid Accumulation detection method based on cross correlation function, solve the Rapid Accumulation test problems doing the high-speed target of variable accelerated motion, the method does not need to carry out any interpolation arithmetic or search operation, thus it is little to reach calculated amount, be easy to Project Realization, be conducive to improving radar to the object of the real-time detection perform of high-speed maneuver target.
Technical scheme of the present invention is a kind of highly maneuvering target Rapid Accumulation detection method based on cross correlation function, and the method comprises the steps:
Step 1: radar return signal, and the multiple pulse echo data received are designated as m=1,2...N, wherein, represent the time needed for a pulse, t mrepresent the time needed for multiple pulse, N represents total pulse number, and the echo data received can regard a two-dimensional array as;
Step 2: paired pulses echo edge fast fourier transform is done to frequency of distance territory in direction, obtains frequency domain data z (f, the t of echo distance dimension m); Wherein f represents frequency of distance;
Step 3: note z (f, t m) at t mon direction, the 1 to the N-1 pulse data is z 1(f, t m), m=1,2...N-1; Note z (f, t m) at t mon direction, the 2 to the N number of pulse data is z 2(f, t m); Calculate radar pulse echo cross correlation function computing formula is as follows
R 1 ( t ^ , t m ) = IFT f [ z 1 ( f , t m ) z 2 * ( f , t m ) ]
Wherein, represent with frequency of distance f for variable does inverse Fourier transform (IFT), z 2 *(f, t m) represent z 2(f, t m) conjugation;
Step 4: to what obtain m=1,2...N-1, edge fast fourier transform is done in direction, obtains signal data R 1(f, t m); Then signal is calculated cross correlation function computing formula is as follows
R 2 ( t ^ , t m ) = IFT f [ R A ( f , t m ) R B * ( f , t m ) ]
Wherein, R a(f, t m) represent R 1(f, t m) along t mfront N-2 pulse data on direction, R b(f, t m) represent R 1(f, t m) along t mrear N-2 pulse data on direction; R b *(f, t m) represent R b(f, t m) conjugation;
Step 5: by the cross correlation function calculated along t mdimension does Fourier transform (FT), obtains correlative accumulation result, is designated as peak value in correlative accumulation result is the target of detection.
The present invention carries out target detection owing to utilizing the method for pulse accumulation, can effective restraint speckle, simultaneously owing to utilizing cross correlation function correction target range walk and Doppler to walk about, make signal energy to carry out coherent superposition, improve the detection perform of echo signal to noise ratio (S/N ratio) and radar.In addition, because the operation that the present invention is all can utilize Fast Fourier Transform (FFT) and Inverse Fast Fourier Transforms to realize, thus reduce the operand of detection method greatly, realize rapidly becoming the correlative accumulation accelerating target energy, effectively can improve the quick detectability of radar to high-speed maneuver target, be conducive to Project Realization.
Accompanying drawing illustrates:
Fig. 1 of the present inventionly realizes general flow chart;
Fig. 2 represents the pulse echo that radar receives;
Fig. 3 is the result after radar echo signal matched filtering;
Fig. 4 represents the cross correlation function of radar echo signal adjacent pulse result;
Fig. 5 represents the accumulation result of the inventive method.
Embodiment:
Specific implementation of the present invention is provided below in conjunction with Fig. 1.
The radar return of the high speed highly maneuvering target adopting computational science software matlab R2008a emulation to produce, target number is 1, the initial distance 200km of the relative radar of target, and target radial speed is 180m/s, and target radial acceleration is 60m/s 2, target radial rate of acceleration change is 50m/s 3, radar emission carrier frequency is 10GHz, and range resolution is 15 meters, and radar pulse repetition frequency is 200Hz, comprises 403 pulses in the correlative accumulation time, and signal to noise ratio (S/N ratio) is 4dB.
The first step: radar receives multiple pulse echo signal, as shown in Figure 2, because echo signal to noise ratio (S/N ratio) is lower, target is submerged in noise, can not highlight, be unfavorable for target detection.Result after radar echo signal matched filtering as shown in Figure 3, can be clearly seen that, the energy distribution of target, at different range units, namely there occurs range walk.
Second step: the cross correlation function calculating echoed signal adjacent pulse cross correlation function result as shown in Figure 4, can be seen from this figure, and after cross correlation function process, target energy has dropped in same range unit, and range walk is corrected.
3rd step: calculate signal adjacent pulse between cross correlation function then right do Fourier transform (FFT) along slow time dimension, obtain correlative accumulation result, as shown in Figure 5.Owing to completing range walk by cross correlation process above and Doppler walks normal moveout correction, the energy of target is able to coherent superposition, thus can highlight target, is conducive to the detection of radar to target.

Claims (1)

1., based on a highly maneuvering target Rapid Accumulation detection method for cross correlation function, the method comprises the steps:
Step 1: radar return signal, and the multiple pulse echo data received are designated as m=1,2...N, wherein, represent the time needed for a pulse, t mrepresent the time needed for multiple pulse, N represents total pulse number, and the echo data received can regard a two-dimensional array as;
Step 2: paired pulses echo edge fast fourier transform is done to frequency of distance territory in direction, obtains frequency domain data z (f, the t of echo distance dimension m); Wherein f represents frequency of distance;
Step 3: note z (f, t m) at t mon direction, the 1 to the N-1 pulse data is z 1(f, t m), m=1,2...N-1; Note z (f, t m) at t mon direction, the 2 to the N number of pulse data is z 2(f, t m); Calculate radar pulse echo cross correlation function computing formula is as follows
R 1 ( t ^ , t m ) = IFT f [ z 1 ( f , t m ) z 2 * ( f , t m ) ]
Wherein, represent with frequency of distance f for variable does inverse Fourier transform (IFT), z 2 *(f, t m) represent z 2(f, t m) conjugation;
Step 4: to what obtain m=1,2...N-1, edge fast fourier transform is done in direction, obtains signal data R 1(f, t m); Then signal is calculated cross correlation function computing formula is as follows
R 2 ( t ^ , t m ) = IFT f [ R A ( f , t m ) R B * ( f , t m ) ]
Wherein, R a(f, t m) represent R 1(f, t m) along t mfront N-2 pulse data on direction, R b(f, t m) represent R 1(f, t m) along t mrear N-2 pulse data on direction, R b *(f, t m) represent R b(f, t m) conjugation;
Step 5: by the cross correlation function calculated along t mdimension does Fourier transform (FT), obtains correlative accumulation result, is designated as peak value in correlative accumulation result is the target of detection.
CN201410624661.1A 2014-11-07 2014-11-07 Fast high maneuvering target accumulating and detecting method based on cross-correlation functions Active CN104375128B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410624661.1A CN104375128B (en) 2014-11-07 2014-11-07 Fast high maneuvering target accumulating and detecting method based on cross-correlation functions

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410624661.1A CN104375128B (en) 2014-11-07 2014-11-07 Fast high maneuvering target accumulating and detecting method based on cross-correlation functions

Publications (2)

Publication Number Publication Date
CN104375128A true CN104375128A (en) 2015-02-25
CN104375128B CN104375128B (en) 2017-02-15

Family

ID=52554161

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410624661.1A Active CN104375128B (en) 2014-11-07 2014-11-07 Fast high maneuvering target accumulating and detecting method based on cross-correlation functions

Country Status (1)

Country Link
CN (1) CN104375128B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104950295A (en) * 2015-05-05 2015-09-30 电子科技大学 High-speed maneuvering target detecting method based on correlation functions and scale changes
CN106896358A (en) * 2017-04-27 2017-06-27 电子科技大学 A kind of high-speed target phase-coherent accumulation detection method based on position rotation transformation
CN110095766A (en) * 2019-05-24 2019-08-06 西安电子科技大学 Maneuvering target coherent accumulation detection method based on non-uniform sampling technology
CN112505695A (en) * 2020-11-04 2021-03-16 中国电子科技集团公司第二十九研究所 Air maneuvering target detection method based on satellite-borne SAR system
CN112764020A (en) * 2020-02-28 2021-05-07 加特兰微电子科技(上海)有限公司 Method, device and related equipment for resolving speed ambiguity and determining moving speed of object

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103176178A (en) * 2013-02-04 2013-06-26 中国人民解放军海军航空工程学院 Radar moving target radon-fractional Fourier transform long-time phase-coherent accumulation detection method
CN103323822A (en) * 2012-08-17 2013-09-25 中国科学院电子学研究所 Method and device for estimating channel errors
US20130342380A1 (en) * 2005-04-20 2013-12-26 Accipiter Radar Technologies Inc. Low cost, high performance radar networks
CN103675759A (en) * 2013-11-27 2014-03-26 杭州电子科技大学 Modified FRFT (fractional Fourier transform) maneuvering weak target detection method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130342380A1 (en) * 2005-04-20 2013-12-26 Accipiter Radar Technologies Inc. Low cost, high performance radar networks
CN103323822A (en) * 2012-08-17 2013-09-25 中国科学院电子学研究所 Method and device for estimating channel errors
CN103176178A (en) * 2013-02-04 2013-06-26 中国人民解放军海军航空工程学院 Radar moving target radon-fractional Fourier transform long-time phase-coherent accumulation detection method
CN103675759A (en) * 2013-11-27 2014-03-26 杭州电子科技大学 Modified FRFT (fractional Fourier transform) maneuvering weak target detection method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
X.LI ET.AL: "High speed maneuvering target detection based on joint keystone transform and CP funtion", 《2014 IEEE RADAR CONFERENCE》 *
孟建 等: "噪声中相参脉冲的检测和参数提取", 《系统工程与电子技术》 *
赵海云 等: "宽带雷达微弱目标信号的积累方法", 《雷达科学与技术》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104950295A (en) * 2015-05-05 2015-09-30 电子科技大学 High-speed maneuvering target detecting method based on correlation functions and scale changes
CN106896358A (en) * 2017-04-27 2017-06-27 电子科技大学 A kind of high-speed target phase-coherent accumulation detection method based on position rotation transformation
CN110095766A (en) * 2019-05-24 2019-08-06 西安电子科技大学 Maneuvering target coherent accumulation detection method based on non-uniform sampling technology
CN110095766B (en) * 2019-05-24 2023-03-21 西安电子科技大学 Maneuvering target coherent accumulation detection method based on non-uniform resampling technology
CN112764020A (en) * 2020-02-28 2021-05-07 加特兰微电子科技(上海)有限公司 Method, device and related equipment for resolving speed ambiguity and determining moving speed of object
CN112505695A (en) * 2020-11-04 2021-03-16 中国电子科技集团公司第二十九研究所 Air maneuvering target detection method based on satellite-borne SAR system

Also Published As

Publication number Publication date
CN104375128B (en) 2017-02-15

Similar Documents

Publication Publication Date Title
CN104076351B (en) Phase-coherent accumulation detection method for high-speed high maneuvering target
CN103399310B (en) Method for detecting radar weak moving target based on PD (Phase Differentiation) RLVD (Radon-Lv Distribution)
CN106970371B (en) A kind of object detection method based on Keystone and matched filtering
CN103323829B (en) Based on the radar moving targets long-time phase-coherent accumulation detection method of Radon-fractional order ambiguity function
CN103344949B (en) Radar slightly-moving target detection method based on Radon-linear canonical ambiguity function
Chen et al. Radon-fractional ambiguity function-based detection method of low-observable maneuvering target
CN103176178B (en) Radar moving target radon-fractional Fourier transform long-time phase-coherent accumulation detection method
CN104950295A (en) High-speed maneuvering target detecting method based on correlation functions and scale changes
CN103744068B (en) The moving-target detection formation method of dual pathways Continuous Wave with frequency modulation SAR system
CN103675759B (en) A kind of motor-driven weak target detection method of Fourier Transform of Fractional Order of improvement
CN104375128B (en) Fast high maneuvering target accumulating and detecting method based on cross-correlation functions
CN108549067A (en) A kind of phase-coherent accumulation detection method being applied to three rank maneuvering targets
CN107329138B (en) Distance walking correction and coherent accumulation detection method for PD radar
CN106291524A (en) LFMCW radar detection movement human mesh calibration method based on anthropometric dummy
CN104849708B (en) High speed machine moving target parameter estimation method based on the conversion of frequency domain polynomial-phase
CN105158748A (en) High-speed target multichannel compensation focusing and TBD mixed accumulation detection method
CN103823217A (en) Bistatic MIMO radar high-speed movement target parameter estimation method based on dual-frequency transmission
CN104502898B (en) The maneuvering target method for parameter estimation that modified R FT and amendment MDCFT are combined
CN102288948B (en) High-speed platform high-speed air moving target detection method based on STAP (Spacetime Adaptive Processing)
CN105652258B (en) Multinomial draws the hypersonic object detection method of eastern multinomial Fourier transformation
CN102608587B (en) Air mobile target detection method based on nonlinear least square
CN102621536B (en) RELAX-based air multi-maneuvering target detecting and parameter estimating method
CN106597427A (en) Ultra-high-speed target detection method
CN104345301A (en) Non-adaptive clutter pre-filtering space-time two-dimensional cancellation method for airborne MIMO (Multiple-Input-Multiple-Output) radar
CN102866388A (en) Iterative computation method for self-adaptive weight number in space time adaptive processing (STAP)

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant