CN109709562A - A kind of target resolution data processing method of detection sonar - Google Patents

A kind of target resolution data processing method of detection sonar Download PDF

Info

Publication number
CN109709562A
CN109709562A CN201811338439.XA CN201811338439A CN109709562A CN 109709562 A CN109709562 A CN 109709562A CN 201811338439 A CN201811338439 A CN 201811338439A CN 109709562 A CN109709562 A CN 109709562A
Authority
CN
China
Prior art keywords
sonar
signal
target
processing method
follows
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
CN201811338439.XA
Other languages
Chinese (zh)
Other versions
CN109709562B (en
Inventor
邓磊磊
赵勰
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.)
China Shipbuilding Industry Corp 75 0 Test Ground
Original Assignee
China Shipbuilding Industry Corp 75 0 Test Ground
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 China Shipbuilding Industry Corp 75 0 Test Ground filed Critical China Shipbuilding Industry Corp 75 0 Test Ground
Priority to CN201811338439.XA priority Critical patent/CN109709562B/en
Publication of CN109709562A publication Critical patent/CN109709562A/en
Application granted granted Critical
Publication of CN109709562B publication Critical patent/CN109709562B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/30Assessment of water resources

Landscapes

  • Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)

Abstract

The present invention provides a kind of targets of detection sonar to differentiate data processing method.This method makes beam angle become narrower in the case where not changing the working frequency and battle array scale of habitata sonar using signal processing technology, improves the picture quality and target resolution capability of sonar.Mainly realized by following four step: first is that involution, by receiving, the phase difference between the frequency of signal and array element is double;Second is that high-pass filtering, selects radio-frequency component and filters out DC component;Third is that Hilbert is converted, real signal is transformed into analytic signal;Fourth is that phase shift Wave beam forming, carries out wave beam output to the array signal after change.The present invention is suitable for detection and identification of the image sonar to ocean bottom target, so that beam angle of the sonar battle array under fixed working frequency and battle array scale becomes narrower, to improve the picture quality or resolving power of sonar.

Description

A kind of target resolution data processing method of detection sonar
Technical field
The present invention relates to the technical field of signal processing, the target for particularly relating to a kind of detection sonar is differentiated at data Reason method.
Background technique
Image sonar depends primarily on the working frequency and battle array scale of sonar to the detection performance of ocean bottom target, work Frequency is higher, battle array scale is bigger, then the scanning beam of sonar is narrower, and target echo structure is finer, the quality of sonar image Also higher, target discrimination is stronger.However, being influenced by acoustic propagation decaying and installation dimension limitation etc., working frequency and battle array Scale cannot be unlimited increase.
In working frequency and the timing of battle array scale one, gust natural directive property it is substantially stationary, seabed beam scanning is divided Distinguish that power (being determined by beam angle) also determines that.To improve wave beam resolving power, scanning beam width is made to narrow or improve work Working frequency or increase battle array scale.If improving working frequency, acoustic propagation attenuation losses will be increased, reduce the operating distance of sonar; If increasing battle array scale, it will installation and marine use to battle array are made troubles, and working frequency or increase usually will not be directly improved Battle array scale is differentiated to improve wave beam.
It is, of course, also possible to which the wave beam for being improved sonar using the method for array signal processing is differentiated, Wave beam forming is such as weighted Method and Virtual array Beamforming Method.However, although weighting Beamforming Method can improve wave beam to a certain extent Resolving power, as Dolph-Chebyshev is weighted, but its wave beam narrow so that entire space side-lobes grade raising, and wave beam Improvement ability is very limited.The wave beam of Virtual array Beamforming Method differentiates improvement ability, with Virtual array number and each void The building precision of matroid metadata is directly related, and Virtual array number is more, Virtual array data building precision are higher, then should The achievable scanning beam of method is narrower, and wave beam resolution capability is stronger.However, under ocean application environment complicated and changeable, it is empty Quasi- array element number and data building precision are to contradiction, and Virtual array number increases the drop that will lead to data building precision It is low, while increasing the complexity of data building, therefore, the improvement of Virtual array Beamforming Method wave beam resolution capability is equally non- It is often limited.
Summary of the invention
The present invention provides a kind of targets of detection sonar to differentiate data processing method, in order to solve habitata sonar The problem of target is differentiated.
In order to solve the above-mentioned technical problem, the present invention adopts the following technical scheme:
A kind of target resolution data processing method of detection sonar, in the working frequency and battle array for not changing habitata sonar In the case where scale, beam angle is set to become narrower using signal processing method, specifically includes the following steps:
Step 1, involution, by multiplier by detection sonar basic matrix reception signal frequency and array element between phase Difference is double;
Step 2, high-pass filtering retain the radio-frequency component generated after involution and filter out its DC component;
Step 3, Hilbert transformation, is converted into analytic signal for real signal by Hilbert method;
Step 4, phase shift Wave beam forming carry out phase difference compensation to analytic signal, complete the wave beam output of target.
Wherein, the calculation method of the involution are as follows: assuming that the working frequency of the reception signal of sonar transducer array is f0, involution fortune Output after calculation are as follows:
In formula, x (t) is the reception signal of sonar transducer array,For initial phase, X (t) is involution output.
Preferably, the calculation method of the high-pass filtering are as follows:
Y (t)=X (t) * h (t)
In formula, h (t) is the impulse response sequence of high-pass filter, and y (t) is that array element signals pass through filtered output.
Preferably, the calculation method of the Hilbert transformation are as follows: real signal makes its negative frequency by Hilbert converter Ingredient does+90 ° of phase shifts, and positive frequency component does -90 ° of phase shifts, analytic signal z (t) expression formula that real signal y (t) is formed are as follows:
In formula,It is converted for the Hilbert of real signal y (t), is defined as:
Wherein, the calculation method of the phase shift Wave beam forming are as follows: if the reception signal form of sonar transducer array is pure-tone pulse, Target echo signal is then detected using phase shift Beam-former and exports target image;The analytic signal z (t) of each array element passes through The output of phase shift Beam-former are as follows:
In formula,It is expressed as making the maximum of wave beam to deviate a certain angle of normal direction, each array element channel is necessary The phase size of compensation;wiFor the weighting coefficient of array element.
The invention has the benefit that the present invention provides a kind of targets of detection sonar to differentiate data processing method, In the case where the working frequency and the battle array scale that do not change habitata sonar, become beam angle more using signal processing technology It is narrow, improve the picture quality and target resolution capability of sonar.Mainly realized by following four step: first is that involution, it will The phase difference received between the frequency and array element of signal is double;Second is that high-pass filtering, selects radio-frequency component and filters out DC component; Third is that Hilbert is converted, real signal is transformed into analytic signal;Fourth is that phase shift Wave beam forming, to the array signal after change into The output of traveling wave beam.The present invention is suitable for detection and identification of the image sonar to ocean bottom target, so that sonar battle array is in fixation Beam angle under working frequency and battle array scale becomes narrower, to improve the picture quality or resolving power of sonar.
Detailed description of the invention
Fig. 1 is that a kind of target of detection sonar provided by the invention differentiates data processing method flow chart;
Fig. 2 is the output figure that conventional beamformer and Dolph-Chebyshev weight Wave beam forming;
Fig. 3 is conventional beamformer and handles the output figure that postwave beam is formed by involution etc..
Specific embodiment
With reference to the attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete Ground description, it is clear that the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this hair Bright embodiment, those of ordinary skill in the art's every other implementation obtained without creative labor Example, belongs to protection scope of the present invention.
Referring to Fig.1, the embodiment of the invention provides a kind of targets of detection sonar to differentiate data processing method, is not changing In the case where the working frequency and battle array scale of habitata sonar, so that beam angle is become narrower using signal processing method, has Body the following steps are included:
Step 1, involution, by multiplier by detection sonar basic matrix reception signal frequency and array element between phase Difference is double;The calculation method of involution are as follows: assuming that the working frequency of the reception signal of sonar transducer array is f0, output after multiplication operations Are as follows:
In formula, x (t) is the reception signal of sonar transducer array,For initial phase, X (t) is involution output.
Step 2, high-pass filtering retain the radio-frequency component generated after involution and filter out its DC component;The high-pass filtering Calculation method are as follows:
Y (t)=X (t) * h (t)
In formula, h (t) is the impulse response sequence of high-pass filter, and y (t) is that array element signals pass through filtered output.
Step 3, Hilbert transformation, is converted into analytic signal for real signal by Hilbert method;Hilbert transformation Calculation method are as follows: real signal makes its negative frequency component do+90 ° of phase shifts by Hilbert converter, and positive frequency component does -90 ° Phase shift, analytic signal z (t) expression formula that real signal y (t) is formed are as follows:
In formula,It is converted for the Hilbert of real signal y (t), is defined as:
Step 4, phase shift Wave beam forming carry out phase difference compensation to analytic signal, complete the wave beam output of target.
The calculation method of phase shift Wave beam forming are as follows: if the reception signal form of sonar transducer array is pure-tone pulse, use phase Beam-former is moved to detect target echo signal and export target image;The analytic signal z (t) of each array element passes through phase shift wave beam The output of shaper are as follows:
In formula,It is expressed as making the maximum of wave beam to deviate a certain angle of normal direction, each array element channel is necessary The phase size of compensation;wiFor the weighting coefficient of array element.
While involution makes doubling frequency, the phase difference between array element is also doubled, since the essence of phase shift Wave beam forming is Compensation to phase, therefore, the wave beam output essence to corresponding frequency-doubled signal are the compensation to cenotype potential difference, to realize 2 Wave beam output effect under times working frequency.
By simulation analysis of computer, the present invention is described further.Simulated conditions, sonar operating frequency are 40kHz, array element number are 33, and using half-wave long spacing, beam-scanning angles are 30 °.From figure 2 it can be seen that weighting wave Although beam formation enables to beam angle to narrow, the improvement differentiated to wave beam is very limited, and the improvement is with entire empty Between side lobe levels rise to cost, lose more than gain.
Fig. 3 simulation result shows that the Wave beam forming after involution enables to beam angle appearance significantly to narrow, i.e., to wave The improvement that beam is differentiated is obvious, but occurs graing lobe in observation space.In certain applications, some skills can be passed through Art means reject the influence of the graing lobe, such as time gated.Therefore, more demanding application is differentiated in some pairs of targets, It the use of this programme is a kind of preferable selection.
The present invention is suitable for detection and identification of the image sonar to ocean bottom target, so that sonar battle array is in fixed work Beam angle under frequency and battle array scale becomes narrower, to improve the picture quality or resolving power of sonar.
In the description of this specification, particular features, structures, materials, or characteristics can be real in any one or more Applying can be combined in any suitable manner in example or example.
Certainly, the present invention can also have other various embodiments, without deviating from the spirit and substance of the present invention, Those skilled in the art can make various corresponding changes and modifications according to the present invention, but these change and modification are all It should belong to scope of protection of the claims of the invention.

Claims (5)

1. a kind of target of detection sonar differentiates data processing method, which is characterized in that in the work for not changing habitata sonar In the case where working frequency and battle array scale, beam angle is set to become narrower using signal processing method, specifically includes the following steps:
Step 1, involution are turned over the phase difference between the frequency and array element of the reception signal of detection sonar basic matrix by multiplier Times;
Step 2, high-pass filtering retain the radio-frequency component generated after involution and filter out its DC component;
Step 3, Hilbert transformation, is converted into analytic signal for real signal by Hilbert method;
Step 4, phase shift Wave beam forming carry out phase difference compensation to analytic signal, complete the wave beam output of target.
2. the target of detection sonar according to claim 1 differentiates data processing method, which is characterized in that the involution Calculation method are as follows: assuming that the working frequency of the reception signal of sonar transducer array is f0, output after multiplication operations are as follows:
In formula, x (t) is the reception signal of sonar transducer array,For initial phase, X (t) is involution output.
3. the target of detection sonar according to claim 1 differentiates data processing method, which is characterized in that the high pass filter The calculation method of wave are as follows:
Y (t)=X (t) * h (t)
In formula, h (t) is the impulse response sequence of high-pass filter, and y (t) is that array element signals pass through filtered output.
4. the target of detection sonar according to claim 3 differentiates data processing method, which is characterized in that described The calculation method of Hilbert transformation are as follows: real signal makes its negative frequency component do+90 ° of phase shifts by Hilbert converter, positive frequency Rate ingredient does -90 ° of phase shifts, analytic signal z (t) expression formula that real signal y (t) is formed are as follows:
In formula,It is converted for the Hilbert of real signal y (t), is defined as:
5. the target of detection sonar according to claim 3 differentiates data processing method, which is characterized in that the phase shift wave Beam formed calculation method are as follows: if the reception signal form of sonar transducer array be pure-tone pulse, using phase shift Beam-former come Detection target echo signal simultaneously exports target image;The analytic signal z (t) of each array element passes through the output of phase shift Beam-former Are as follows:
In formula,It is expressed as making the maximum of wave beam to deviate a certain angle of normal direction, each array element channel must be compensated for Phase size;wiFor the weighting coefficient of array element.
CN201811338439.XA 2018-11-08 2018-11-08 Target resolution data processing method of detection sonar Active CN109709562B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811338439.XA CN109709562B (en) 2018-11-08 2018-11-08 Target resolution data processing method of detection sonar

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811338439.XA CN109709562B (en) 2018-11-08 2018-11-08 Target resolution data processing method of detection sonar

Publications (2)

Publication Number Publication Date
CN109709562A true CN109709562A (en) 2019-05-03
CN109709562B CN109709562B (en) 2023-08-29

Family

ID=66254331

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811338439.XA Active CN109709562B (en) 2018-11-08 2018-11-08 Target resolution data processing method of detection sonar

Country Status (1)

Country Link
CN (1) CN109709562B (en)

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5043951A (en) * 1990-08-01 1991-08-27 Westinghouse Electric Corp. Apparatus for reduction of side lobes in a beam pattern of an array
CN1146112A (en) * 1995-04-19 1997-03-26 三星电子株式会社 Phase detecting method and phase tracking loop circuit of digital vestigial sideband modulation communication device
JPH10186025A (en) * 1996-12-25 1998-07-14 Mitsubishi Electric Corp Fm-cw radar
CN101915921A (en) * 2010-08-25 2010-12-15 上海慧昌智能交通***有限公司 Double-beam four-antenna microwave traffic information detection radar and information detection method
CN104880703A (en) * 2014-02-27 2015-09-02 中国科学院声学研究所 Side-scan sonar target detection reverberation suppressing technologies
CN105680856A (en) * 2014-12-09 2016-06-15 联发科技股份有限公司 Signal processing circuit and method
CN106772401A (en) * 2016-12-23 2017-05-31 浙江大学 Number of fish school method of estimation based on probability hypothesis density particle filter algorithm
CN106850076A (en) * 2017-03-27 2017-06-13 吉林大学 Digit phase generation carrier demodulation method and the device of a kind of use AFE(analog front end)
JP2018100887A (en) * 2016-12-20 2018-06-28 株式会社東芝 Radar system and radar signal processing method thereof
CN108240857A (en) * 2016-12-27 2018-07-03 中国船舶重工集团公司七五○试验场 A kind of spherical shape directive property pressure hydrophone
CN108471324A (en) * 2017-02-23 2018-08-31 索尼公司 Electronic equipment, communication device and signal processing method

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4204281A (en) * 1959-03-24 1980-05-20 Julius Hagemann Signal processing system for underwater transducer
EP0199571A1 (en) * 1985-04-20 1986-10-29 Peter Travis Gough Continuous transmission synthetic aperture sonar
CN101504458B (en) * 2009-03-10 2011-07-20 中国船舶重工集团公司第七一五研究所 Phase filtering based beam forming method
JP2011179896A (en) * 2010-02-26 2011-09-15 Nec Corp Beam combining device, beam combining method, and cylindrical array receiving system
CN102393520B (en) * 2011-09-26 2013-07-31 哈尔滨工程大学 Sonar moving target imaging method based on target echo Doppler characteristics
CN103584886B (en) * 2013-11-20 2015-07-15 无锡祥生医学影像有限责任公司 Self-adaption apodization method based on phase coherent information
CN106680825B (en) * 2016-12-05 2019-06-04 中国科学院声学研究所 A kind of acoustic array imaging system and method

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5043951A (en) * 1990-08-01 1991-08-27 Westinghouse Electric Corp. Apparatus for reduction of side lobes in a beam pattern of an array
CN1146112A (en) * 1995-04-19 1997-03-26 三星电子株式会社 Phase detecting method and phase tracking loop circuit of digital vestigial sideband modulation communication device
JPH10186025A (en) * 1996-12-25 1998-07-14 Mitsubishi Electric Corp Fm-cw radar
CN101915921A (en) * 2010-08-25 2010-12-15 上海慧昌智能交通***有限公司 Double-beam four-antenna microwave traffic information detection radar and information detection method
CN104880703A (en) * 2014-02-27 2015-09-02 中国科学院声学研究所 Side-scan sonar target detection reverberation suppressing technologies
CN105680856A (en) * 2014-12-09 2016-06-15 联发科技股份有限公司 Signal processing circuit and method
JP2018100887A (en) * 2016-12-20 2018-06-28 株式会社東芝 Radar system and radar signal processing method thereof
CN106772401A (en) * 2016-12-23 2017-05-31 浙江大学 Number of fish school method of estimation based on probability hypothesis density particle filter algorithm
CN108240857A (en) * 2016-12-27 2018-07-03 中国船舶重工集团公司七五○试验场 A kind of spherical shape directive property pressure hydrophone
CN108471324A (en) * 2017-02-23 2018-08-31 索尼公司 Electronic equipment, communication device and signal processing method
CN106850076A (en) * 2017-03-27 2017-06-13 吉林大学 Digit phase generation carrier demodulation method and the device of a kind of use AFE(analog front end)

Non-Patent Citations (13)

* Cited by examiner, † Cited by third party
Title
KONSTANTIN STATNIKOV: "160-GHz to 1-THz Multi-Color Active Imaging With a Lens-Coupled SiGe HBT Chip-Set", 《IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES》 *
KONSTANTIN STATNIKOV: "160-GHz to 1-THz Multi-Color Active Imaging With a Lens-Coupled SiGe HBT Chip-Set", 《IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES》, vol. 63, no. 2, 28 February 2015 (2015-02-28), pages 520 - 532, XP011572331, DOI: 10.1109/TMTT.2014.2385777 *
周志娟: "相移波束形成的FPGA实现", 《中国优秀硕士学位论文全文数据库信息科技辑》 *
周志娟: "相移波束形成的FPGA实现", 《中国优秀硕士学位论文全文数据库信息科技辑》, 15 May 2012 (2012-05-15), pages 6 - 7 *
姚爱红: "单矢量传感器倍频窄波束技术研究", 《哈尔滨工程大学学报》 *
姚爱红: "单矢量传感器倍频窄波束技术研究", 《哈尔滨工程大学学报》, vol. 25, no. 1, 28 February 2004 (2004-02-28), pages 50 - 52 *
李永安等: "《模拟电子技术基础》", 31 March 2018, pages: 304 *
王燕等: "超短基线水声定位***相位差解模糊算法研究", 《电子学报》 *
王燕等: "超短基线水声定位***相位差解模糊算法研究", 《电子学报》, no. 11, 15 November 2017 (2017-11-15), pages 221 - 228 *
胡晓峰等: "甚宽频信号波束形成方法", 《科技资讯》 *
胡晓峰等: "甚宽频信号波束形成方法", 《科技资讯》, no. 05, 13 February 2009 (2009-02-13), pages 45 - 46 *
赵勰: "压电陶瓷球形换能器耐电压与抗拉极限辐射声功率研究", 《声学技术》 *
赵勰: "压电陶瓷球形换能器耐电压与抗拉极限辐射声功率研究", 《声学技术》, no. 01, 15 February 2018 (2018-02-15), pages 96 - 99 *

Also Published As

Publication number Publication date
CN109709562B (en) 2023-08-29

Similar Documents

Publication Publication Date Title
Synnevåg et al. A low-complexity data-dependent beamformer
CN110063749B (en) Ultrasonic measurement device, ultrasonic imaging device, and ultrasonic measurement method
CN102393520B (en) Sonar moving target imaging method based on target echo Doppler characteristics
EP3548920A1 (en) Methods and systems for filtering ultrasound image clutter
CN107205722A (en) The fundamental wave harmonic frequency ultrasound diagnosing image of broadband mixing
CN104422931A (en) Ultrasonic measurement apparatus, ultrasonic imaging apparatus, and ultrasonic measurement method
CN108761394A (en) A kind of high-resolution low sidelobe based on space-time processing deconvolutes Power estimation method
CN110196421B (en) Dense MIMO sonar self-adaptive beam forming detection method
CN108132466A (en) Three-D imaging method and system are regarded under a kind of airborne array antenna
CN104765033B (en) Method using distance side lobe in cross-correlation function suppression step frequency imaging
CN108761433B (en) High-resolution imaging method using MIMO sonar difference array processing
CN108680907A (en) A kind of compressed sensing MIMO radar disturbance restraining method based on observing matrix
CN105652272B (en) High-resolution imaging method is tieed up using the distance of signal discrete frequency component
CN111239747B (en) Sonar high-resolution low-sidelobe two-dimensional imaging method based on deconvolution
CN109709562A (en) A kind of target resolution data processing method of detection sonar
WO2018099867A1 (en) Methods and systems for filtering ultrasound image clutter
CN108169732A (en) A kind of transform domain Beamforming Method based on extension aperture sonar
CN110196428B (en) MIMO sonar high-resolution three-dimensional foresight imaging method
EP3596493B1 (en) Methods and systems for filtering ultrasound image clutter
Hergum et al. Parallel beamforming using synthetic transmit beams [biomedical ultrasound imaging]
CN108845298B (en) Adaptive beam forming method based on clutter mapping
JP2014020907A (en) Underwater detection device, underwater detection method and program
Dalton et al. Simulating elastic targets for sonar algorithm development
CN110609271B (en) Beam sidelobe suppression method based on spatial apodization
Holfort et al. High resolution ultrasound imaging using adaptive beamforming with reduced number of active elements

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