CN113740873A - Gaussian convolution-based marine laser radar rapid simulation method - Google Patents

Gaussian convolution-based marine laser radar rapid simulation method Download PDF

Info

Publication number
CN113740873A
CN113740873A CN202111009955.XA CN202111009955A CN113740873A CN 113740873 A CN113740873 A CN 113740873A CN 202111009955 A CN202111009955 A CN 202111009955A CN 113740873 A CN113740873 A CN 113740873A
Authority
CN
China
Prior art keywords
scattering
phase function
laser radar
calculating
water body
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
CN202111009955.XA
Other languages
Chinese (zh)
Other versions
CN113740873B (en
Inventor
陈鹏
张镇华
毛志华
王天愚
袁大鹏
谢丛霜
钟纯怿
钱政
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.)
Second Institute of Oceanography MNR
Original Assignee
Second Institute of Oceanography MNR
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 Second Institute of Oceanography MNR filed Critical Second Institute of Oceanography MNR
Priority to CN202111009955.XA priority Critical patent/CN113740873B/en
Publication of CN113740873A publication Critical patent/CN113740873A/en
Application granted granted Critical
Publication of CN113740873B publication Critical patent/CN113740873B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

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
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88Lidar systems specially adapted for specific applications
    • 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
    • G01S7/48Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
    • G01S7/497Means for monitoring or calibrating

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Electromagnetism (AREA)
  • Optical Radar Systems And Details Thereof (AREA)

Abstract

The invention belongs to the technical field of marine laser radar remote sensing detection, and particularly relates to a Gaussian convolution-based marine laser radar rapid simulation method. The method calculates the mean square angle according to the scattering phase function of the water body
Figure 910046DEST_PATH_IMAGE001
Calculating forward peak of scattering phase function
Figure 786735DEST_PATH_IMAGE002
Calculating the intensity of the single-scattered signal
Figure 671514DEST_PATH_IMAGE003
Calculating the ratio of multiple scattering to single scattering
Figure 865DEST_PATH_IMAGE004
Calculating multiple scattering signalsStrength of
Figure 262082DEST_PATH_IMAGE005
Calculating the total intensity of laser echo signal
Figure 930960DEST_PATH_IMAGE006
. According to the method, the multiple scattering signals of the laser in the water body can be quickly simulated according to the convolution of the Gaussian laser beam and the Gaussian phase function.

Description

Gaussian convolution-based marine laser radar rapid simulation method
Technical Field
The invention belongs to the technical field of marine laser radar remote sensing detection, and particularly relates to a Gaussian convolution-based marine laser radar rapid simulation method.
Background
The ocean laser radar is widely applied to ocean exploration, but at present, a simplified single-scattering laser radar equation is used for inversion of water body parameters, and multiple scattering of laser in a water body propagation process is ignored. Due to the influence of multiple scattering, the laser radar echo signal is often stronger than the signal of single scattering, which brings errors to the inversion of the signal. The design of the marine laser radar system and the inversion of the echo signals need accurate simulation of multiple scattering as a basis.
At present, Monte Carlo models are mostly adopted for simulating multiple scattering of laser radars, but the models are large in calculation amount and long in time consumption. According to the method, an analytic model is provided according to convolution of Gaussian laser beams and Gaussian scattering phase functions of the water body, and multiple scattering signals of the laser in the water body can be rapidly calculated.
Disclosure of Invention
The invention aims to obtain multiple scattering signals of laser in a water body, and provides a Gaussian convolution-based marine laser radar rapid simulation method.
The purpose of the invention is realized by the following technical scheme:
a fast simulation method of an ocean laser radar based on Gaussian convolution comprises the following steps:
step 1: calculating mean square angle according to water body scattering phase function
Figure BDA0003238555740000011
Step 2: mean square angle obtained according to step 1
Figure BDA0003238555740000012
Calculating a forward peak gamma of a scattering phase function;
and step 3: calculating the intensity P of the single-scattered signal1(z);
And 4, step 4: mean square angle obtained by step 1
Figure BDA0003238555740000021
The forward peak gamma of the scattering phase function obtained in the step 2 and the intensity P of the single scattering signal obtained in the step 31(z) calculating the multiple scatter to single scatter ratio rn
And 5: according to the ratio of multiple scattering to single scattering rnCalculating multiple scattering signal intensity Pn(z);
Step 6: from the multiple scattered signal intensity Pn(z) calculating the total intensity P of the laser echo signalt(z)。
Preferably, the mean square angle calculated according to the scattering phase function of the water body in the step 1
Figure BDA0003238555740000022
Comprises the following steps:
Figure BDA0003238555740000023
wherein p istrue(0) Is the scattering phase function of the water body when the scattering angle is 0.
Preferably, the step of2, the forward peak gamma of the scattering phase function is:
Figure BDA0003238555740000024
preferably, the single-scattered signal intensity in step 3 is P1(z):
Figure BDA0003238555740000025
Wherein eta is the detection efficiency of the receiver; p0Is the laser energy; a is the receiving area of the detector; o is a geometric overlap factor, TOIs the receiver optical transmittance; t isaAtmospheric permeability; t issIs the sea surface transmittance; v is the speed of light; h is the height of the laser radar; Δ t is the laser pulse width; n is the refractive index of seawater; z is the depth of the seawater; p is a radical ofπ(z)/4 pi is a 180-degree scattering phase function of the water body; (z) is the water scattering coefficient; c (z') is the attenuation coefficient of the water body.
Preferably, the multiple scattering to single scattering ratio r of step 4nComprises the following steps:
Figure BDA0003238555740000026
where ρ istReceiving the field angle for the laser radar; theta0Is the laser beam divergence angle.
Preferably, the multiple scattered signal strength P of step 5n(z) is: pn(z)=P1(z)rn
Preferably, the total intensity P of the laser echo signal in step 6t(z) is: pt(z)=∑n=1Pn(z)。
Preferably, the scattering phase function is any water body scattering phase function.
The invention has the beneficial effects that: the method is based on Gaussian convolution, can quickly calculate multiple scattering signals of the laser in the water body, and can be suitable for any scattering phase function and non-uniform water bodies.
Drawings
FIG. 1 is a flow chart of the present method;
FIG. 2 is the multiple scattered signal intensity of example 1;
FIG. 3 is the multiple scattered signal intensity of example 2;
FIG. 4 is the multiple scattered signal intensity of example 3;
fig. 5 is the multiple scattered signal intensity of example 4.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments, and the objects and effects of the present invention will become more apparent, and the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiments of the present invention are implemented in the same way, differing only in the parameters of the lidar system used.
The method adopts typical laser radar system parameters as embodiment 1, and the laser energy is P010mJ, receiving area A1.76 m2The superposition factor O is 1, the laser radar height is 300m, the receiving telescope field angle FOV is 10mrad, the responsivity is 0.18, and the receiver optical transmittance is ToTypical environmental parameters sea water refractive index n is 1.33, sea table transmittance T is 0.9s=0.95,b=0.037m-1,c=0.151m-1The water body phase function adopts a Henyey-Greenstein phase function ptrue(0)=339.4。
The specific implementation mode of the invention is as follows:
step 1: calculating mean square angle according to water body scattering phase function
Figure BDA0003238555740000031
Step 1, calculating the mean square angle according to the scattering phase function of the water body
Figure BDA0003238555740000032
Comprises the following steps:
Figure BDA0003238555740000033
wherein p istrue(0) Calculated for the scattering phase function of the water body when the scattering angle is 0
Figure BDA0003238555740000034
Step 2: mean square angle obtained according to step 1
Figure BDA0003238555740000041
Calculating a forward peak gamma of a scattering phase function;
the forward peak gamma of the scattering phase function in the step 2 is as follows:
Figure BDA0003238555740000042
calculated γ is 0.5.
And step 3: calculating the intensity P of the single-scattered signal1(z);
The intensity of the single scattering signal in step 3 is P1(z):
Figure BDA0003238555740000043
Wherein eta is the detection efficiency of the receiver; p0Is the laser energy; a is the receiving area of the detector; o is a geometric overlap factor, TOIs the receiver optical transmittance; t isaAtmospheric permeability; t issIs the sea surface transmittance; v is the speed of light; h is the height of the laser radar; Δ t is the laser pulse width; n is the refractive index of seawater; z is the depth of the seawater; p is a radical ofπ(z)/4 pi is a 180-degree scattering phase function of the water body; (z) is the water scattering coefficient; c (z') is the attenuation coefficient of the water body.
And 4, step 4: mean square angle obtained by step 1
Figure BDA0003238555740000044
The forward peak gamma of the scattering phase function obtained in the step 2 and the intensity P of the single scattering signal obtained in the step 31(z) calculating the multiple scatter to single scatter ratio rn
Multiple scattering to single scattering ratio r as described in step 4nComprises the following steps:
Figure BDA0003238555740000045
where ρ istReceiving the field angle for the laser radar; theta0Is the laser beam divergence angle.
And 5: according to the ratio of multiple scattering to single scattering rnCalculating multiple scattering signal intensity Pn(z);
The multiple scattering signal intensity in step 5 is:
Pn(z)=P1(z)rn
step 6: from the multiple scattered signal intensity Pn(z) calculating the total intensity P of the laser echo signalt(z);
The total intensity of the laser echo signals in the step 6 is as follows:
Pt(z)=∑n=1Pn(z)。
figure 2 shows the multiple scatter and total signal intensity of example 1. As can be seen from fig. 2, the intensity of the echo signal is mainly single scattering when the laser enters the water body. But the multiple scatter signal increases gradually with increasing depth.
The laser radar system parameters used in example 2 were: laser energy of P010mJ, receiving area A1.76 m2The superposition factor O is 1, the laser radar height is 300m, the receiving telescope field angle FOV is 10mrad, the responsivity is 0.18, and the receiver optical transmittance is To0.9, refractive index n of seawater 1.33, and surface transmittance Ts0.95, and adopting a water body parameter b of 0.219m-1,c=0.398m-1The water body phase function adopts a Henyey-Greenstein phase functionptrue(0)=339.4。
The multiple scattered signal intensity and the total signal intensity of example 2 are shown in fig. 3. As can be seen from fig. 3, as the turbidity of the water body increases, the multiple scattering signal in the seawater increases greatly, and the echo signal is mainly multiple scattering. However, the increase of the turbidity of the water body can cause the total attenuation of the water body to be larger, so that the speed of the total echo signal attenuation along with the depth also becomes faster, and the penetration depth of the laser in the water body is also reduced.
The laser radar system parameters used in example 3 were: laser energy of P010mJ, receiving area A1.76 m2The superposition factor O is 1, the laser radar height is H300 m, the receiving telescope field angle FOV is 0.1mrad, the responsivity is eta 0.18, and the receiver optical transmittance is To0.9, refractive index n of seawater 1.33, and surface transmittance Ts0.95, and adopting a water body parameter b of 0.219m-1,c=0.398m-1The water body phase function adopts a Henyey-Greenstein phase function ptrue(0)=339.4。
The multiple scattered signal intensity and the total signal intensity of example 3 are shown in fig. 4. As can be seen from fig. 4, the total signal almost coincides with the single-scattered signal, which shows that in the case of a very small field angle, the laser light is scattered beyond the field angle of the receiver, resulting in the received echo signal being dominated by the single scattering.
The laser radar system parameters used in example 4 were: laser energy of P010mJ, receiving area A1.76 m2The superposition factor O is 1, the laser radar height is 300m, the receiving telescope field angle FOV is 10mrad, the responsivity is 0.18, and the receiver optical transmittance is To0.9, refractive index n of seawater 1.33, and surface transmittance Ts0.95, and adopting a water body parameter b of 0.219m-1,c=0.398m-1The water body phase function adopts a Fournier-Forand phase function ptrue(0)=165.7。
The multiple scattered signal intensity and the total signal intensity of example 4 are shown in fig. 5. As can be seen from fig. 5, different water phase functions lead to different results when other parameters are consistent. The water multiple scattering under the Fournier-Forand phase function is reduced, resulting in a reduction of the total echo signal. In the laser radar simulation process, a proper scattering phase function is selected according to a specific water body environment.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and although the invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the form and details of the embodiments may be made and equivalents may be substituted for elements thereof. All modifications, equivalents and the like which come within the spirit and principle of the invention are intended to be included within the scope of the invention.

Claims (8)

1. A fast simulation method of an ocean laser radar based on Gaussian convolution is characterized by comprising the following steps:
step 1: calculating mean square angle according to water body scattering phase function
Figure FDA0003238555730000011
Step 2: mean square angle obtained according to step 1
Figure FDA0003238555730000012
Calculating a forward peak gamma of a scattering phase function;
and step 3: calculating the intensity P of the single-scattered signal1(z);
And 4, step 4: mean square angle obtained by step 1
Figure FDA0003238555730000013
The forward peak gamma of the scattering phase function obtained in the step 2 and the intensity P of the single scattering signal obtained in the step 31(z) calculating the multiple scatter to single scatter ratio rn
And 5: according to the ratio of multiple scattering to single scattering rnCalculating multiple scattering signal intensity Pn(z);
Step 6: from the multiple scattered signal intensity Pn(z) calculating the total intensity P of the laser echo signalt(z)。
2. The Gaussian convolution-based marine laser radar rapid simulation method according to claim 1, wherein the mean square angle calculated according to the scattering phase function of the water body in the step 1
Figure FDA0003238555730000014
Comprises the following steps:
Figure FDA0003238555730000015
wherein p istrue(0) Is the scattering phase function of the water body when the scattering angle is 0.
3. The method for rapidly simulating marine laser radar based on Gaussian convolution according to claim 1, wherein the forward peak γ of the scattering phase function in step 2 is:
Figure FDA0003238555730000016
4. the Gaussian convolution-based marine laser radar rapid simulation method according to claim 1, wherein the single scattering signal strength in step 3 is P1(z):
Figure FDA0003238555730000017
Wherein eta is the detection efficiency of the receiver; p0Is the laser energy; a is the receiving area of the detector; o is a geometric overlap factor, TOIs the receiver optical transmittance; t isaAtmospheric permeability; t issFor passing through the sea surfaceThe rate of passing; v is the speed of light; h is the height of the laser radar; Δ t is the laser pulse width; n is the refractive index of seawater; z is the depth of the seawater; p is a radical ofπ(z)/4 pi is a 180-degree scattering phase function of the water body; (z) is the water scattering coefficient; c (z') is the attenuation coefficient of the water body.
5. The Gaussian convolution-based marine lidar fast simulation method according to claim 1, wherein the multiple scattering to single scattering ratio r in step 4 isnComprises the following steps:
Figure FDA0003238555730000021
where ρ istReceiving the field angle for the laser radar; theta0Is the laser beam divergence angle.
6. The Gaussian convolution-based marine laser radar rapid simulation method according to claim 1, wherein the multiple scattering signal intensity P in the step 5n(z) is:
Pn(z)=P1(z)rn
7. the Gaussian convolution-based marine laser radar rapid simulation method according to claim 1, wherein the total laser echo signal intensity P in the step 6t(z) is:
Pt(z)=∑n=1Pn(z)。
8. the Gaussian convolution-based marine laser radar rapid simulation method according to claim 1, wherein the scattering phase function is any water body scattering phase function.
CN202111009955.XA 2021-08-31 2021-08-31 Ocean laser radar rapid simulation method based on Gaussian convolution Active CN113740873B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111009955.XA CN113740873B (en) 2021-08-31 2021-08-31 Ocean laser radar rapid simulation method based on Gaussian convolution

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111009955.XA CN113740873B (en) 2021-08-31 2021-08-31 Ocean laser radar rapid simulation method based on Gaussian convolution

Publications (2)

Publication Number Publication Date
CN113740873A true CN113740873A (en) 2021-12-03
CN113740873B CN113740873B (en) 2024-05-28

Family

ID=78734081

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111009955.XA Active CN113740873B (en) 2021-08-31 2021-08-31 Ocean laser radar rapid simulation method based on Gaussian convolution

Country Status (1)

Country Link
CN (1) CN113740873B (en)

Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6100976A (en) * 1998-09-21 2000-08-08 The Board Of Regents For Oklahoma State University Method and apparatus for fiber optic multiple scattering suppression
EP1085346A1 (en) * 1999-09-19 2001-03-21 Deutsches Zentrum für Luft- und Raumfahrt e.V. Method for determining the distance of objects, atmospheric particles and the like using Lidar- or Laserradar signals
US20040130702A1 (en) * 2001-02-09 2004-07-08 Jupp David L Lidar system and method
US20070242269A1 (en) * 2004-03-06 2007-10-18 Michael Trainer Methods and apparatus for determining characteristics of particles
CN105372641A (en) * 2015-12-23 2016-03-02 国家海洋局第一海洋研究所 Laser radar water body echo signal simulation method
CN105842698A (en) * 2016-05-18 2016-08-10 西安电子科技大学 Fast simulation method of high resolution SAR image
CN106526611A (en) * 2016-10-31 2017-03-22 鲁东大学 Method for measuring ocean inherent optical parameter by using laser radar system
CN107831485A (en) * 2017-10-19 2018-03-23 中国科学院海洋研究所 The method of the multiple water body optical signature parameters of the more visual field laser radar detections of boat-carrying
CN107976686A (en) * 2017-10-26 2018-05-01 浙江大学 A kind of more field angle oceanographic lidars and its field angle selection method
US20180188358A1 (en) * 2017-01-05 2018-07-05 Innovusion Ireland Limited METHOD AND SYSTEM FOR ENCODING AND DECODING LiDAR
CN109995427A (en) * 2019-03-25 2019-07-09 西安电子科技大学 A kind of Monte Carlo simulation method of underwater uplink laser communication
CN110568449A (en) * 2019-10-14 2019-12-13 自然资源部第二海洋研究所 Wind-borne rough sea surface laser reflection and transmission matrix calculation method
CN111971606A (en) * 2018-01-25 2020-11-20 意大利学院科技基金会 Time-resolved imaging method with high spatial resolution
CN111965608A (en) * 2020-07-16 2020-11-20 自然资源部第二海洋研究所 Satellite-borne marine laser radar detection capability evaluation method based on water body chlorophyll concentration
CN112731341A (en) * 2020-11-20 2021-04-30 自然资源部第二海洋研究所 Dual-wavelength high spectral resolution laser radar system based on two-stage virtual image phase array
CN113011074A (en) * 2020-12-30 2021-06-22 南京先进激光技术研究院 Channel characteristic modeling method for underwater wireless optical communication system, electronic equipment and storage medium
CN113029342A (en) * 2021-04-02 2021-06-25 西北工业大学 Bidirectional reflection theory-based simulation method for polarized light reflected by underwater target
CN113219496A (en) * 2021-03-18 2021-08-06 杭州电子科技大学 Spaceborne laser radar detection system for ocean atmospheric parameters

Patent Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6100976A (en) * 1998-09-21 2000-08-08 The Board Of Regents For Oklahoma State University Method and apparatus for fiber optic multiple scattering suppression
EP1085346A1 (en) * 1999-09-19 2001-03-21 Deutsches Zentrum für Luft- und Raumfahrt e.V. Method for determining the distance of objects, atmospheric particles and the like using Lidar- or Laserradar signals
US20040130702A1 (en) * 2001-02-09 2004-07-08 Jupp David L Lidar system and method
US20070242269A1 (en) * 2004-03-06 2007-10-18 Michael Trainer Methods and apparatus for determining characteristics of particles
CN105372641A (en) * 2015-12-23 2016-03-02 国家海洋局第一海洋研究所 Laser radar water body echo signal simulation method
CN105842698A (en) * 2016-05-18 2016-08-10 西安电子科技大学 Fast simulation method of high resolution SAR image
CN106526611A (en) * 2016-10-31 2017-03-22 鲁东大学 Method for measuring ocean inherent optical parameter by using laser radar system
US20180188358A1 (en) * 2017-01-05 2018-07-05 Innovusion Ireland Limited METHOD AND SYSTEM FOR ENCODING AND DECODING LiDAR
CN107831485A (en) * 2017-10-19 2018-03-23 中国科学院海洋研究所 The method of the multiple water body optical signature parameters of the more visual field laser radar detections of boat-carrying
CN107976686A (en) * 2017-10-26 2018-05-01 浙江大学 A kind of more field angle oceanographic lidars and its field angle selection method
CN111971606A (en) * 2018-01-25 2020-11-20 意大利学院科技基金会 Time-resolved imaging method with high spatial resolution
CN109995427A (en) * 2019-03-25 2019-07-09 西安电子科技大学 A kind of Monte Carlo simulation method of underwater uplink laser communication
CN110568449A (en) * 2019-10-14 2019-12-13 自然资源部第二海洋研究所 Wind-borne rough sea surface laser reflection and transmission matrix calculation method
CN111965608A (en) * 2020-07-16 2020-11-20 自然资源部第二海洋研究所 Satellite-borne marine laser radar detection capability evaluation method based on water body chlorophyll concentration
CN112731341A (en) * 2020-11-20 2021-04-30 自然资源部第二海洋研究所 Dual-wavelength high spectral resolution laser radar system based on two-stage virtual image phase array
CN113011074A (en) * 2020-12-30 2021-06-22 南京先进激光技术研究院 Channel characteristic modeling method for underwater wireless optical communication system, electronic equipment and storage medium
CN113219496A (en) * 2021-03-18 2021-08-06 杭州电子科技大学 Spaceborne laser radar detection system for ocean atmospheric parameters
CN113029342A (en) * 2021-04-02 2021-06-25 西北工业大学 Bidirectional reflection theory-based simulation method for polarized light reflected by underwater target

Non-Patent Citations (7)

* Cited by examiner, † Cited by third party
Title
KAIPENG LI: ""A Dual-Wavelength Ocean Lidar for Vertical Profiling of Oceanic Backscatter and Attenuation"", 《REMOTE SENSING》, 31 December 2020 (2020-12-31), pages 1 - 20 *
刘志鹏: ""海洋激光雷达反演水体光学参数"", 《遥感学报》, vol. 23, no. 5, 31 May 2019 (2019-05-31), pages 944 - 952 *
崔晓宇: ""采用半解析蒙特卡洛技术模拟星载海洋激光雷达回波信号的软件"", 《红外与激光工程》, vol. 49, no. 2, 29 February 2020 (2020-02-29), pages 1 - 7 *
徐沛拓: ""海洋激光雷达多次散射回波信号建模与分析"", 《遥感学报》, vol. 24, no. 2, 29 February 2020 (2020-02-29), pages 142 - 149 *
李晓龙: ""海洋激光雷达水体光学特性参数反演模型对比及分析"", 《光学学报》, vol. 37, no. 10, 31 October 2017 (2017-10-31), pages 1 - 7 *
王磊: ""蓝绿激光水下成像系统的探测灵敏度分析"", 《红外与激光工程》, vol. 41, no. 1, 31 January 2012 (2012-01-31), pages 79 - 85 *
罗双: ""辐射传输计算中散射相函数截断近似方法对比分析"", 《光学学报》, vol. 37, no. 2, 28 February 2017 (2017-02-28), pages 1 - 7 *

Also Published As

Publication number Publication date
CN113740873B (en) 2024-05-28

Similar Documents

Publication Publication Date Title
CN110095784B (en) Ocean-low atmosphere laser transmission modeling method under influence of complex environment
CN110207695B (en) Non-speed auxiliary single beacon positioning method suitable for deep-sea AUV
CN106500671B (en) Method for determining sea water depth by decomposing laser radar waveform based on LM algorithm
CN110568449B (en) Wind-borne rough sea surface laser reflection and transmission matrix calculation method
CN107831485A (en) The method of the multiple water body optical signature parameters of the more visual field laser radar detections of boat-carrying
US11237258B1 (en) Method for optimization of a parametric array shallow profile difference frequency conversion performance
CN107976686A (en) A kind of more field angle oceanographic lidars and its field angle selection method
CN113671443A (en) Deep sea target positioning method of underwater acoustic sensor network based on grazing angle sound ray correction
CN110135299B (en) Single-waveband blue-green laser waveform analysis method and system for shallow water sounding
CN103969694A (en) Water target wake detection method based on laser backward scattering doppler frequency shift
CN110376572B (en) Underwater detection depth simulation device for airborne laser radar
CN101464522B (en) Subaqueous target wake detection system and method based on laser wave front change
CN116609758B (en) Extraction method for airborne laser sounding waveform during travel
Li et al. Long baseline acoustic localization based on track-before-detect in complex underwater environments
CN113740873A (en) Gaussian convolution-based marine laser radar rapid simulation method
RU2313802C1 (en) Mode of measuring distance to a controlled object
CN101533105B (en) Detection system and detection method for aquatic dynamic target trail based on laser facula drift
CN112434467B (en) Underwater rotator target low-target-strength appearance design method
CN112415495B (en) Submarine reverberation signal simulation method
Jiang et al. The research on simulation of seabed reverberation model based on multi-beam sounding system
CN114791992B (en) Deep sea target forward scattering sound field calculation method based on ray theory
CN118094964A (en) Vector Monte Carlo simulation method based on turbulent phase screen underwater polarized light transmission
Zhang et al. Numerical simulation of backscattered echo signal of lidar in near field of water
Zong et al. Research on Laser Dual-Mode Fusion Detection Method of Ship Wake Bubbles
Hu et al. A method of sound propagation loss calculation based on Gaussian beams

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