CN110865333A - Single-beacon passive acoustic positioning method for underwater glider under influence of ocean currents - Google Patents

Single-beacon passive acoustic positioning method for underwater glider under influence of ocean currents Download PDF

Info

Publication number
CN110865333A
CN110865333A CN201911134764.9A CN201911134764A CN110865333A CN 110865333 A CN110865333 A CN 110865333A CN 201911134764 A CN201911134764 A CN 201911134764A CN 110865333 A CN110865333 A CN 110865333A
Authority
CN
China
Prior art keywords
glider
beacon
time
signal
underwater
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
CN201911134764.9A
Other languages
Chinese (zh)
Other versions
CN110865333B (en
Inventor
徐文
蒋丞
李建龙
陈惠芳
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.)
Zhejiang University ZJU
Original Assignee
Zhejiang University ZJU
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 Zhejiang University ZJU filed Critical Zhejiang University ZJU
Priority to CN201911134764.9A priority Critical patent/CN110865333B/en
Publication of CN110865333A publication Critical patent/CN110865333A/en
Application granted granted Critical
Publication of CN110865333B publication Critical patent/CN110865333B/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
    • G01S5/00Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G01S5/0257Hybrid positioning
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/005Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 with correlation of navigation data from several sources, e.g. map or contour matching
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20Instruments for performing navigational calculations
    • G01C21/203Specially adapted for sailing ships
    • 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
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42Determining position
    • G01S19/45Determining position by combining measurements of signals from the satellite radio beacon positioning system with a supplementary measurement

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)

Abstract

The invention discloses a single-beacon passive acoustic positioning method of an underwater glider under the influence of ocean currents, which can provide positioning information for the glider only by a single beacon. The method does not need time synchronization between the glider and the sound source and does not need the glider to send an active signal, can greatly improve the positioning performance of the underwater glider under the influence of ocean currents, and has the characteristics of low power consumption, simplicity in implementation, large improvement range of positioning precision and the like.

Description

Single-beacon passive acoustic positioning method for underwater glider under influence of ocean currents
Technical Field
The invention belongs to the field of underwater vehicle positioning, and particularly relates to a single-beacon passive acoustic positioning method for an underwater glider under the influence of ocean currents.
Background
As people's demand for modern ocean development and ocean exploration has increased, more and more underwater vehicles are designed to observe the ocean environment. An Underwater unmanned glider (hereinafter referred to as an Underwater glider) integrates technologies such as sensing, communication, navigation, control, energy, propulsion and the like, and is a relatively mature Underwater unmanned vehicle in ocean observation at present.
The underwater glider can be used for carrying various sensors to acquire environmental data in a marine three-dimensional space, such as salinity, temperature, depth, ocean current, dissolved oxygen concentration, sound field and the like. In order to obtain accurate environmental data, the underwater glider generally needs to accurately estimate the position of the underwater glider, and common methods for underwater positioning include an underwater navigation technology based on inertial navigation equipment, a dead reckoning technology based on an attitude sensor, various baseline positioning technologies based on sonar equipment, and the like.
Because inertial navigation devices are expensive and bulky and consume significant power, underwater gliders are generally not considered portable. The acoustic-based baseline positioning technology requires that strict time synchronization is maintained between the receiving device at the end to be positioned and the signal transmitting device on the baseline, or the receiving device at the end to be positioned needs to respond to the signal transmitted by the signal transmitting device to obtain the round-trip signal propagation time. The application of baseline positioning techniques to underwater gliders is also difficult because time synchronization requires expensive devices such as atomic clocks, and the launch of active signals can greatly shorten the endurance time of underwater gliders. The dead reckoning technology based on the attitude sensor has the characteristics of low cost, convenient application and the like, and is the most widely applied glider underwater positioning technology at present. However, since the underwater glider is influenced by the ocean current during underwater operation, and the underwater sailing time is long and the speed is slow, the positioning error of the dead reckoning technology is accumulated continuously, so that the estimated position of the underwater glider has a large deviation from the actual position, and especially when the speed of the ocean current is comparable to that of the underwater glider, the position estimation can be disabled. Meanwhile, the existing underwater positioning method generally carries out autonomous positioning only according to information such as a motion model of the underwater glider, the distance between the underwater glider and a beacon and the like, and the interference of ocean currents on the positioning performance of the underwater glider is not considered, so that the performance of the methods is reduced or even loses efficacy in practical application.
Disclosure of Invention
The invention aims to provide a single-beacon passive acoustic positioning method of an underwater glider under the influence of ocean currents, aiming at the defects of the prior art. The invention does not need time synchronization and active signal transmission, can realize the requirements of low cost and low power consumption, and greatly improves the positioning performance of the underwater glider.
The purpose of the invention is realized by the following technical scheme: a single-beacon passive acoustic positioning method for an underwater glider under the influence of ocean currents comprises the following steps:
(1) transmitting a beacon locating signal, comprising the sub-steps of:
(1.1) after the beacon is deployed, setting the sending period of the positioning signal
Figure BDA0002279294940000021
Entering a waiting sending stage;
(1.2) when the positioning signal is sent each time, the beacon acquires the current position of the beacon
Figure BDA0002279294940000022
And transmission time
Figure BDA0002279294940000023
(1.3) transmitting the circular algorithm signal and the current position of the beacon obtained in the step (1.2)
Figure BDA0002279294940000024
And local time
Figure BDA0002279294940000025
Packaging, broadcasting through a transducer, and enabling the beacon to enter a waiting state again after broadcasting is finished;
(2) deploying a glider, obtaining the initial position of the glider on the water surface through a GPS and setting the ocean current speed
Figure BDA0002279294940000026
Initial value and error covariance matrix Pk(ii) a The glider continuously monitors the positioning signal, and the signal arrival time is extracted through signal processing
Figure BDA0002279294940000027
Angle of arrival theta of signalkBeacon transmission time
Figure BDA0002279294940000028
And beacon location
Figure BDA0002279294940000029
The following two cases are included:
(2.1) the estimation step of the position of the glider when the positioning signal is effective is as follows:
first, the actual arrival time period difference Δ t is calculated by the following equationk
Figure BDA00022792949400000210
Wherein the transmission period of the positioning signal is determined by
Figure BDA00022792949400000211
Obtaining;
Figure BDA00022792949400000212
the signal arrival time at time k-1; and obtaining a measurement vector d byk
Figure BDA00022792949400000213
Obtaining estimated state of glider by the following formula
Figure BDA00022792949400000214
Figure BDA00022792949400000215
Wherein,
Figure BDA00022792949400000216
in order to estimate the position of the glider,
Figure BDA00022792949400000217
the estimated ocean current velocity direction component is obtained; fk-1And Lk-1Respectively a state transition matrix and a control mapping matrix; v. ofk-1Two-dimensional plane velocity of relative water flow at time k-1 αk-1Is an orientation angle; x is the number ofk-1Is the glider state at time k-1;
the model arrival time period difference Δ t is calculated by the following formulak′:
Figure BDA00022792949400000218
Wherein,
Figure BDA00022792949400000219
Figure BDA00022792949400000220
is the depth of the glider at time k, r, measured by its own sensorkA distance vector representing the pointing of the beacon location from the estimated position of the glider with depth; | · | is a modulo operation; c is the speed of sound propagation in water;
calculating the model signal arrival angle theta by the following formulak′:
Figure BDA0002279294940000031
Figure BDA0002279294940000032
Wherein, gkIs the attitude vector of the glider at time k, phikIs the pitch angle of the glider;
establishing a measurement model hkThe following were used:
Figure BDA0002279294940000033
according to the measurement model hkEstimating the underwater position of the glider by adopting an extended Kalman filter to obtain the state of the glider
Figure BDA0002279294940000034
And updating the error covariance matrix Pk
(2.2) the estimation step of the position of the glider when the positioning signal is temporarily absent is as follows:
position of glider
Figure BDA0002279294940000035
Obtained by the following formula:
Figure BDA0002279294940000036
wherein,
Figure BDA0002279294940000037
for the most recent valid estimation of the water flow velocity,
Figure BDA0002279294940000038
the k and k-1 times differ by T seconds for the last estimated glider position.
Further, the error covariance matrix PkIn (1), the element related to ocean current is set to 0.12The position-related elements are set as
Figure BDA0002279294940000039
Wherein v is(l)The average speed of the glider is 0.5 knots.
Further, the glider state x at time k-1 in said step (2.1)k-1The initial state of the glider is the initial position of the glider in the first underwater positioning, and the initial position and the ocean current speed of the glider in the step (2)
Figure BDA00022792949400000310
And (4) initial value composition.
Further, the underwater position of the glider is estimated by adopting an extended Kalman filter to obtain the state of the glider
Figure BDA00022792949400000311
And updating the error covariance matrix PkThe method specifically comprises the following steps:
Pk|k-1=Fk-1Pk-1Fk-1 T+Qk-1
Figure BDA0002279294940000041
Figure BDA0002279294940000042
Pk=[I-KkHk]Pk|k-1
wherein, Pk|k-1The estimated error covariance matrix is obtained; qk-1Is process noise; kkIs the Kalman gain;
Figure BDA0002279294940000043
for the final estimated position of the glider,
Figure BDA0002279294940000044
is the final estimated ocean current velocity direction component; hkIs hkA jacobian matrix of; rkTo observe the noise matrix.
Further, the two-dimensional plane velocity v of the relative water flow at the time k-1k-1Calculated by the following formula:
Figure BDA0002279294940000045
wherein,
Figure BDA0002279294940000046
is a glider atDepth at time k, phik-1The pitch angle at time k-1.
Further, the speed of the ocean current in the step (2)
Figure BDA0002279294940000047
The initial value is set according to the priori knowledge of the ocean current, otherwise, the initial value is set to [ 00 ]]。
The invention has the beneficial effects that:
(1) the invention provides a positioning algorithm for an underwater glider under the influence of ocean currents, the position of the glider is estimated by combining the arrival time cycle difference and the arrival angle of a signal with extended Kalman filtering, and the positioning performance of the underwater glider can be greatly improved;
(2) the method estimates the position and the ocean current, compensates the position of the glider through the estimated ocean current, and improves the positioning performance of the glider under the influence of the ocean current;
(3) the algorithm of the invention does not need the glider to send signals, and does not need time synchronization between the beacon and the glider, and has the advantages of low power consumption and simple implementation;
(4) the beacon can be carried on any water surface or underwater platform, such as a water surface ship, a drilling platform, a buoy, a wave glider, a UUV, a submarine and the like;
(5) the sending period of the beacon positioning signal is variable;
(6) the method is used for processing the condition of the glider when the acoustic positioning signal is temporarily absent, so that the glider still has certain self-positioning performance under the condition of no effective acoustic positioning signal;
(7) the beacon can transmit data with the underwater glider in a single direction, and has certain communication capacity.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1 is a flowchart of a passive acoustic positioning method for an underwater glider without time synchronization according to an embodiment of the present invention;
fig. 2 is a beacon operation flow diagram provided by an embodiment of the present invention;
FIG. 3 is a diagram of simulation results provided by an embodiment of the present invention; wherein, (a) is a simulated scene graph; (b) a graph of the corresponding positioning error over time; (c) an ocean current estimation result graph is obtained;
FIG. 4 is a flow chart of data processing for calculating signal angle of arrival and signal inter-arrival time difference according to an embodiment of the present invention;
fig. 5 is a diagram of a positioning signal frame structure according to an embodiment of the present invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present invention. It will be understood by those skilled in the art that the present invention may be practiced without some of these specific details. In some instances, methods, means, elements well known to those skilled in the art have not been described in detail so as not to obscure the present invention.
Example 1
The embodiment of the invention provides a passive acoustic positioning method flow of an underwater glider under the influence of ocean currents, and the passive acoustic positioning method flow is shown in figure 1. The glider positions itself based on the difference in the arrival time periods of the received positioning signals and the angle of arrival (DOA) of the signals. The method comprises the following steps.
Step S1: deployment of glider, initialization of parameters
After the glider is deployed, the position of the glider is corrected by the GPS on the sea surface. And after the glider starts to sail underwater, continuously monitoring the signals and judging whether the positioning signals are received. Upon initialization, the ocean current velocity may be determined without prior knowledge of the ocean current
Figure BDA0002279294940000061
Initial value is set to [ 00%]If the priori knowledge is available, the speed of the ocean current can be determined
Figure BDA0002279294940000062
The initial values are set to corresponding values. Error covariance matrix P at initializationkWherein the position-related element is based on a signaling interval
Figure BDA0002279294940000063
And typical velocity v of glider(l)Is arranged as
Figure BDA0002279294940000064
The ocean current related element is set to 0.12
Step S2: glider received signal processing step
A glider received signal processing step for analyzing and extracting the signal when the glider receives the signalTaking out signal arrival times
Figure BDA0002279294940000065
Angle of arrival theta of signalkBeacon transmission time
Figure BDA0002279294940000066
And beacon location
Figure BDA0002279294940000067
The specific process, as shown in fig. 4, includes the following steps:
a. the received signals of the hydrophones are correlated and filtered with a Cyclic Algorithm (CAN) signal having good autocorrelation pre-stored in the glider. Recording the received signal sequence as sr(t) the signal sequence of the local signal at the Doppler shift f is sl(t, f), then in a given Doppler search space f ∈ [ f [ [ f ]low,fhigh]And the temporal search space T e [0, T ∈s]Maximum value of whole search space obtained by searching
Figure BDA0002279294940000068
b. Finding the maximum output a that meets the signal detection thresholdmaxThe time of occurrence is taken as the arrival time of the k-time signal
Figure BDA0002279294940000069
c. Then, the hydrophone array is subjected to beam forming to estimate the arrival angle of the signal
Figure BDA00022792949400000610
Wherein v isH(φ) is the array response vector, φ is the orientation angle of the array response.
d. Decoding the signal to obtain information about the beacon transmission time
Figure BDA00022792949400000611
And beacon location
Figure BDA00022792949400000612
The data of (1).
Step S3-1: estimation step of glider position when positioning signal is effective
Firstly, estimating the two-dimensional plane speed of the current glider relative to water flow by using a sensor of the glider, estimating the speed by using the change of the depth and the value of the pitch angle in a period of time T, and recording the depth of the glider measured at the moment k by using the sensor of the glider as
Figure BDA00022792949400000613
The pitch angle at the time k-1 is phik-1And if the difference between the k time and the k-1 time is T seconds, the calculation method of the two-dimensional plane speed of the k-1 time relative to the water flow is as follows:
Figure BDA00022792949400000614
after obtaining the relative water flow velocity, the embodiment passes the signal arrival time measured in step S2
Figure BDA00022792949400000615
And a known signaling interval
Figure BDA00022792949400000616
Calculating the time period difference of arrival Δ tk
Figure BDA00022792949400000617
Will be Δ tkAnd angle of arrival thetakForming a column vector form to obtain a measurement vector d at the momentkSpecifically, the following are shown:
Figure BDA0002279294940000071
the state transition model of the glider is as follows:
Figure BDA0002279294940000072
wherein v isk-1The two-dimensional plane velocity of the relative water flow at the moment k-1;
Figure BDA0002279294940000073
in order to be in a state of a glider,
Figure BDA0002279294940000074
in order to be the position of the glider,
Figure BDA0002279294940000075
is the speed of ocean current
Figure BDA0002279294940000076
A directional component of (a); fk-1And Lk-1α for a state transition matrix and a control mapping matrix, respectivelyk-1Is an orientation angle; qk-1Is process noise;
the model arrival time period difference Δ t is calculated by the following formulak′:
Figure BDA0002279294940000077
Wherein,
Figure BDA0002279294940000078
is an estimated position of the glider, rkA distance vector representing the direction of a beacon from a glider estimated position with depth; | · | is a modulo operation; c is the speed of sound propagation in water;
calculating the model signal arrival angle theta by the following formulak′:
Figure BDA0002279294940000079
Figure BDA00022792949400000710
Wherein, gkIs the attitude vector of the glider at time k,φkis the pitch angle of the glider;
establishing a measurement model hkThe following were used:
Figure BDA00022792949400000711
combining the estimated state transition model with the measurement model, the final state of the glider
Figure BDA00022792949400000712
And (3) updating the state through extended Kalman filtering:
a. predicting the estimated position of glider and the estimated ocean current by the following formula
Figure BDA0002279294940000081
Figure BDA0002279294940000082
b. The predicted covariance P is then corrected byk|k-1And (3) calculating:
Pk|k-1=Fk-1Pk-1Fk-1 T+Qk-1(10)
c. the kalman gain was calculated by the following formula:
Figure BDA0002279294940000083
wherein HkIs hkIn which R iskTo observe the noise matrix;
d. the error covariance matrix is calculated by the following equation in preparation for the next position estimate:
Pk=[I-KkHk]Pk|k-1(13)
e. the final estimated value of the position of the glider and the ocean current speed is obtained by the following two formulas
Figure BDA0002279294940000084
Figure BDA0002279294940000085
Wherein,
Figure BDA0002279294940000086
for the final estimated position of the glider,
Figure BDA0002279294940000087
is the direction component of the final estimated ocean current velocity.
Step S3-2: estimating the position of the glider when the acoustic positioning signal is temporarily absent:
in step 2-2 of this embodiment, the estimation step of the position of the glider when the acoustic positioning signal is temporarily absent or invalid enters the step if the signal sending time is not reached, the signal-to-noise ratio of the received signal is too low, the signal cannot be restored after the signal passes through the channel, and the like. First, the speed v of the glider relative to the water flow is calculatedk-1Reuse of the last estimated ocean current velocity
Figure BDA0002279294940000088
The current position is estimated by equation (1).
Figure BDA0002279294940000089
Wherein,
Figure BDA00022792949400000810
the k and k-1 times differ by T seconds for the last estimated glider position.
Fig. 3 shows a simulated scenario (fig. 3a), corresponding positioning error variation with time (fig. 3b), and ocean current estimation (fig. 3c) results according to an embodiment of the present invention. In the simulation, the beacon sails to the north and the east on the water surface, the ocean current is 40 degrees to the west of the north, and the glider sails to the south, but the actual direction is 77 degrees to the west of the north after being influenced by the ocean current. The error of the traditional dead reckoning method increases along with the increase of time, but through the process of the embodiment of the invention, the positioning accuracy of the glider at the final moment is improved by 94% compared with the traditional dead reckoning method, the average positioning error is not more than 100 meters, the positioning performance is greatly improved, and simultaneously at the final moment, the ocean currents in different directions estimated by the method are consistent with the actual situation.
Example 2
An embodiment of the present invention provides a procedure for sending a beacon positioning signal, as shown in fig. 2. In the embodiment, the beacon periodically broadcasts the positioning signal, and the beacon can be carried on any water surface or underwater platform, such as a water surface ship, a drilling platform, a buoy, a wave glider, a UUV, a submarine and the like. The method comprises the following steps:
step S1: beacon initialization procedure
The beacon sets the sending period of the positioning signal after deployment
Figure BDA0002279294940000091
Signal bandwidth and the like, and entering a waiting-to-send stage.
Step S2: step for obtaining current beacon position and beacon sending time
At the signal sending time, the beacon acquires the current position of the beacon
Figure BDA0002279294940000092
And beacon transmission time
Figure BDA0002279294940000093
Step S3: signal packing and broadcasting
The beacon position and beacon time obtained in step S2 of the CAN signal having a good autocorrelation are packaged and broadcast by the transducer, and the beacon enters the waiting state again after the broadcast is completed.
Example 3
Fig. 5 shows a frame structure of a positioning signal according to an embodiment of the present invention. The signal frame is composed of CAN signal with good autocorrelation and beacon position when transmitting
Figure BDA0002279294940000094
And transmission time
Figure BDA0002279294940000095
And (4) forming.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (6)

1. A single-beacon passive acoustic positioning method for an underwater glider under the influence of ocean currents is characterized by comprising the following steps:
(1) transmitting a beacon locating signal, comprising the sub-steps of:
(1.1) after the beacon is deployed, setting the sending period of the positioning signal
Figure FDA0002279294930000011
Entering a waiting sending phase.
(1.2) when the positioning signal is sent each time, the beacon acquires the current position of the beacon
Figure FDA0002279294930000012
And transmission time
Figure FDA0002279294930000013
(1.3) the signal of the cyclic algorithm and the signal obtained in the step (1.2)Indicating the current position
Figure FDA0002279294930000014
And transmission time
Figure FDA0002279294930000015
And packaging and broadcasting through the transducer, and after the broadcasting is finished, the beacon enters a waiting state again.
(2) Deploying a glider, obtaining the initial position of the glider on the water surface through a GPS and setting the ocean current speed
Figure FDA0002279294930000016
Initial value and error covariance matrix PkEtc.; the glider continuously monitors the positioning signal, and the signal arrival time is extracted through signal processing
Figure FDA0002279294930000017
Angle of arrival theta of signalkBeacon transmission time
Figure FDA0002279294930000018
And beacon location
Figure FDA0002279294930000019
Etc., including the following two cases:
(2.1) the estimation step of the position of the glider when the positioning signal is effective is as follows:
first, the actual arrival time period difference Δ t is calculated by the following equationk
Figure FDA00022792949300000110
Wherein the transmission period of the positioning signal is determined by
Figure FDA00022792949300000111
Obtaining;
Figure FDA00022792949300000112
the signal arrival time at time k-1; and obtaining a measurement vector d byk
Figure FDA00022792949300000113
Obtaining estimated state of glider by the following formula
Figure FDA00022792949300000114
Figure FDA00022792949300000115
Wherein,
Figure FDA00022792949300000116
in order to estimate the position of the glider,
Figure FDA00022792949300000117
the estimated ocean current velocity direction component is obtained; fk-1And Lk-1Respectively a state transition matrix and a control mapping matrix; v. ofk-1Two-dimensional plane velocity of relative water flow at time k-1 αk-1Is an orientation angle; x is the number ofk-1Is the glider state at time k-1;
the model arrival time period difference Δ t is calculated by the following formulak′:
Figure FDA0002279294930000021
Wherein,
Figure FDA0002279294930000022
Figure FDA0002279294930000023
is the depth of the glider at time k, r, measured by its own sensorkRepresenting gliders from band depthEstimating a distance vector of the position pointing to the beacon position; | · | is a modulo operation; c is the speed of sound propagation in water;
calculating the model signal arrival angle theta by the following formulak′:
Figure FDA0002279294930000024
Figure FDA0002279294930000025
Wherein, gkIs the attitude vector of the glider at time k, phikIs the pitch angle of the glider;
establishing a measurement model hkThe following were used:
Figure FDA0002279294930000026
according to the measurement model hkEstimating the underwater position of the glider by adopting an extended Kalman filter to obtain the state of the glider
Figure FDA0002279294930000027
And updating the error covariance matrix Pk
(2.2) the estimation step of the position of the glider when the positioning signal is temporarily absent is as follows:
position of glider
Figure FDA0002279294930000028
Obtained by the following formula:
Figure FDA0002279294930000029
wherein,
Figure FDA00022792949300000210
for the most recent valid estimation of the water flow velocity,
Figure FDA00022792949300000211
the k and k-1 times differ by T seconds for the last estimated glider position.
2. The method of claim 1, wherein the error covariance matrix P is a single beacon passive acoustic location of an underwater glider under the influence of ocean currentskIn (1), the element related to ocean current is set to 0.12The position-related elements are set as
Figure FDA00022792949300000212
Wherein v is(l)The average speed of the glider is 0.5 knots.
3. The method for single beacon passive acoustic location of an underwater glider under the influence of ocean currents as claimed in claim 1, wherein in step (2.1) the glider state x at time k-1k-1The initial state of the glider is the initial position of the glider in the first underwater positioning, and the initial position and the ocean current speed of the glider in the step (2)
Figure FDA0002279294930000031
And (4) initial value composition.
4. The method of claim 1, wherein the estimation of the underwater position of the glider using the extended kalman filter yields the glider state
Figure FDA0002279294930000032
And updating the error covariance matrix PkThe method specifically comprises the following steps:
Pk|k-1=Fk-1Pk-1Fk-1 T+Qk-1
Figure FDA0002279294930000033
Figure FDA0002279294930000034
Pk=[I-KkHk]Pk|k-1
wherein, Pk|k-1The estimated error covariance matrix is obtained; qk-1Is process noise; kkIs the Kalman gain;
Figure FDA0002279294930000035
for the final estimated position of the glider,
Figure FDA0002279294930000036
is the final estimated ocean current velocity direction component; hkIs hkA jacobian matrix of; rkTo observe the noise matrix.
5. The method for single-beacon passive acoustic positioning of an underwater glider under the influence of ocean currents as claimed in claim 1, wherein the two-dimensional plane velocity v of the relative current at time k-1 isk-1Calculated by the following formula:
Figure FDA0002279294930000037
wherein,
Figure FDA0002279294930000038
is the depth of the glider at time k, phik-1The pitch angle at time k-1.
6. The single beacon passive acoustic positioning method of underwater gliders under the influence of ocean currents as claimed in claim 1, wherein the ocean current velocity in step (2)
Figure FDA0002279294930000039
The initial value is set according to the priori knowledge of the ocean current, otherwise, the initial value is set to [ 00 ]]。
CN201911134764.9A 2019-11-19 2019-11-19 Single-beacon passive acoustic positioning method for underwater glider under influence of ocean currents Active CN110865333B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911134764.9A CN110865333B (en) 2019-11-19 2019-11-19 Single-beacon passive acoustic positioning method for underwater glider under influence of ocean currents

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911134764.9A CN110865333B (en) 2019-11-19 2019-11-19 Single-beacon passive acoustic positioning method for underwater glider under influence of ocean currents

Publications (2)

Publication Number Publication Date
CN110865333A true CN110865333A (en) 2020-03-06
CN110865333B CN110865333B (en) 2021-08-24

Family

ID=69654945

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911134764.9A Active CN110865333B (en) 2019-11-19 2019-11-19 Single-beacon passive acoustic positioning method for underwater glider under influence of ocean currents

Country Status (1)

Country Link
CN (1) CN110865333B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111578944A (en) * 2020-05-22 2020-08-25 浙江大学 Underwater glider positioning system and method based on single beacon
CN112285652A (en) * 2020-10-28 2021-01-29 浙江大学 Underwater glider positioning method utilizing single beacon virtual arrival time difference
CN112947068A (en) * 2021-01-27 2021-06-11 浙江大学 Integrated acoustic positioning and tracking control method for autonomous underwater vehicle

Citations (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3660808A (en) * 1962-08-24 1972-05-02 Du Pont Assembly for recognizing underwater acoustic signals
US4995101A (en) * 1989-09-19 1991-02-19 Gte Government Systems Corporation Secure two-way communications with submerged submarines
US6424914B1 (en) * 2000-12-26 2002-07-23 American Gnc Corporation Fully-coupled vehicle positioning method and system thereof
CN102818567A (en) * 2012-08-08 2012-12-12 浙江大学 AUV (autonomous underwater vehicle) integrated navigation method integrating Kalman filtering and particle filtering
CN102879764A (en) * 2012-10-16 2013-01-16 浙江大学 Underwater sound source direction estimating method
CN102999050A (en) * 2012-12-13 2013-03-27 哈尔滨工程大学 Automatic obstacle avoidance method for intelligent underwater robots
CN103033186A (en) * 2012-12-30 2013-04-10 东南大学 High-precision integrated navigation positioning method for underwater glider
CN104180804A (en) * 2014-09-11 2014-12-03 东南大学 Single reference node underwater vehicle integrated navigation method based on underwater information network
US20160011326A1 (en) * 2008-08-11 2016-01-14 Airmar Technology Corporation Multi-Function Broadband Phased-Array Software Defined Sonar System And Method
KR101597224B1 (en) * 2014-10-01 2016-02-26 홍익대학교 산학협력단 Ocean acoustic ranging system and method using look-up table
EP3026458A1 (en) * 2014-11-26 2016-06-01 Maritime Radar Systems Limited A system for monitoring a maritime environment
CN105652264A (en) * 2016-01-05 2016-06-08 东南大学 High-order cumulant-based method for multi-path propagation and separation of acoustic signals
KR101643967B1 (en) * 2015-03-17 2016-08-11 홍익대학교 산학협력단 System and method for extracting ocean disasters position
CN105929386A (en) * 2016-04-14 2016-09-07 东南大学 Wave arrival estimation method based on high-order accumulated amount
CN107272005A (en) * 2017-05-27 2017-10-20 西北工业大学 The active positioning method of time delay and angle of arrival is reached based on target echo under reliable acoustic path
CN107656243A (en) * 2017-08-25 2018-02-02 天津大学 Combine DOA/TOA oceans multi-path environment localization method in inhomogeneous medium
CN108303715A (en) * 2017-12-19 2018-07-20 浙江大学 Underwater mobile node passive location method based on ″Beidou″ beacon and its system
CN109253726A (en) * 2018-06-22 2019-01-22 东南大学 A kind of underwater glider navigation positioning system and floating accuracy correcting method
CN109283511A (en) * 2018-09-01 2019-01-29 哈尔滨工程大学 A kind of wide covering multi-beam reception basic matrix calibration method
CN109814069A (en) * 2019-01-22 2019-05-28 浙江大学 A kind of underwater mobile node passive location method and its system based on single localizer beacon
CN109884730A (en) * 2019-04-12 2019-06-14 哈尔滨工程大学 A kind of virtual array passive detection method based on deep-sea underwater gliding machine platform
CN110057365A (en) * 2019-05-05 2019-07-26 哈尔滨工程大学 A kind of depth AUV dive localization method latent greatly
US20190250244A1 (en) * 2018-02-09 2019-08-15 South China University Of Technology Underwater source node positioning method
CN110146895A (en) * 2019-05-16 2019-08-20 浙江大学 Sound speed profile inversion method based on inversion type multi-beam echometer

Patent Citations (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3660808A (en) * 1962-08-24 1972-05-02 Du Pont Assembly for recognizing underwater acoustic signals
US4995101A (en) * 1989-09-19 1991-02-19 Gte Government Systems Corporation Secure two-way communications with submerged submarines
US6424914B1 (en) * 2000-12-26 2002-07-23 American Gnc Corporation Fully-coupled vehicle positioning method and system thereof
US20160011326A1 (en) * 2008-08-11 2016-01-14 Airmar Technology Corporation Multi-Function Broadband Phased-Array Software Defined Sonar System And Method
CN102818567A (en) * 2012-08-08 2012-12-12 浙江大学 AUV (autonomous underwater vehicle) integrated navigation method integrating Kalman filtering and particle filtering
CN102879764A (en) * 2012-10-16 2013-01-16 浙江大学 Underwater sound source direction estimating method
CN102999050A (en) * 2012-12-13 2013-03-27 哈尔滨工程大学 Automatic obstacle avoidance method for intelligent underwater robots
CN103033186A (en) * 2012-12-30 2013-04-10 东南大学 High-precision integrated navigation positioning method for underwater glider
CN104180804A (en) * 2014-09-11 2014-12-03 东南大学 Single reference node underwater vehicle integrated navigation method based on underwater information network
KR101597224B1 (en) * 2014-10-01 2016-02-26 홍익대학교 산학협력단 Ocean acoustic ranging system and method using look-up table
EP3026458A1 (en) * 2014-11-26 2016-06-01 Maritime Radar Systems Limited A system for monitoring a maritime environment
KR101643967B1 (en) * 2015-03-17 2016-08-11 홍익대학교 산학협력단 System and method for extracting ocean disasters position
CN105652264A (en) * 2016-01-05 2016-06-08 东南大学 High-order cumulant-based method for multi-path propagation and separation of acoustic signals
CN105929386A (en) * 2016-04-14 2016-09-07 东南大学 Wave arrival estimation method based on high-order accumulated amount
CN107272005A (en) * 2017-05-27 2017-10-20 西北工业大学 The active positioning method of time delay and angle of arrival is reached based on target echo under reliable acoustic path
CN107656243A (en) * 2017-08-25 2018-02-02 天津大学 Combine DOA/TOA oceans multi-path environment localization method in inhomogeneous medium
CN108303715A (en) * 2017-12-19 2018-07-20 浙江大学 Underwater mobile node passive location method based on ″Beidou″ beacon and its system
US20190250244A1 (en) * 2018-02-09 2019-08-15 South China University Of Technology Underwater source node positioning method
CN109253726A (en) * 2018-06-22 2019-01-22 东南大学 A kind of underwater glider navigation positioning system and floating accuracy correcting method
CN109283511A (en) * 2018-09-01 2019-01-29 哈尔滨工程大学 A kind of wide covering multi-beam reception basic matrix calibration method
CN109814069A (en) * 2019-01-22 2019-05-28 浙江大学 A kind of underwater mobile node passive location method and its system based on single localizer beacon
CN109884730A (en) * 2019-04-12 2019-06-14 哈尔滨工程大学 A kind of virtual array passive detection method based on deep-sea underwater gliding machine platform
CN110057365A (en) * 2019-05-05 2019-07-26 哈尔滨工程大学 A kind of depth AUV dive localization method latent greatly
CN110146895A (en) * 2019-05-16 2019-08-20 浙江大学 Sound speed profile inversion method based on inversion type multi-beam echometer

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
S. BYUN, S. KIM, P. LEE, Y. LIM AND W. SEONG: "Underwater acoustic positioning in dense multipath channels using a 2-D wideband sparse array", 《OCEANS 2011 IEEE - SPAIN, 2011》 *
Y. ZHANG, H. CHEN, W. XU, T. C. YANG AND J. HUANG: "Spatiotemporal Tracking of Ocean Current Field With Distributed Acoustic Sensor Network", 《 IEEE JOURNAL OF OCEANIC ENGINEERING》 *
Y. ZHANG, J. HUANG, H. ZHAO AND W. XU: "Kalman tracking of ocean current field based on distributed sensor network", 《2014 OCEANS - ST. JOHN"S, 2014》 *
刘明雍: "一种基于无迹卡尔曼滤波的UUV协同定位方法", 《鱼雷技术》 *
张博: "基于粒子滤波的AUV组合导航方法", 《机器人》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111578944A (en) * 2020-05-22 2020-08-25 浙江大学 Underwater glider positioning system and method based on single beacon
CN111578944B (en) * 2020-05-22 2021-12-21 浙江大学 Underwater glider positioning method based on single beacon
CN112285652A (en) * 2020-10-28 2021-01-29 浙江大学 Underwater glider positioning method utilizing single beacon virtual arrival time difference
CN112947068A (en) * 2021-01-27 2021-06-11 浙江大学 Integrated acoustic positioning and tracking control method for autonomous underwater vehicle
CN112947068B (en) * 2021-01-27 2022-08-23 浙江大学 Integrated acoustic positioning and tracking control method for autonomous underwater vehicle

Also Published As

Publication number Publication date
CN110865333B (en) 2021-08-24

Similar Documents

Publication Publication Date Title
Rypkema et al. One-way travel-time inverted ultra-short baseline localization for low-cost autonomous underwater vehicles
CN109737956B (en) SINS/USBL phase difference tight combination navigation positioning method based on double transponders
US20190204430A1 (en) Submerged Vehicle Localization System and Method
CN110865333B (en) Single-beacon passive acoustic positioning method for underwater glider under influence of ocean currents
US5894450A (en) Mobile underwater arrays
CN106767793A (en) A kind of AUV underwater navigation localization methods based on SINS/USBL tight integrations
JP4968827B2 (en) Underwater positioning system and underwater positioning method
CN110703203A (en) Underwater pulsed sound positioning system based on multi-acoustic wave glider
CN107748352B (en) Ultra-short baseline device and positioning method suitable for shallow water positioning
CN110703202B (en) Underwater pulsed sound positioning system based on multi-acoustic wave glider and unmanned surface vehicle
CN111578944B (en) Underwater glider positioning method based on single beacon
CN101907711A (en) Simultaneous detecting and positioning method for autonomous underwater robot
CN110727282B (en) AUV docking method and device and underwater docking system
CN109814069A (en) A kind of underwater mobile node passive location method and its system based on single localizer beacon
CN110389318B (en) Underwater mobile platform positioning system and method based on three-dimensional six-element array
Bresciani et al. Cooperative ASV/AUV system exploiting active acoustic localization
CN104280024B (en) Device and method for integrated navigation of deepwater robot
Shatara et al. An efficient, time-of-flight-based underwater acoustic ranging system for small robotic fish
CN110333369B (en) UUV DVL speed measurement system based on water surface GPS correction and self-adaptive denoising method
Stanway Dead reckoning through the water column with an acoustic Doppler current profiler: Field experiences
CN112285652B (en) Underwater glider positioning method utilizing single beacon virtual arrival time difference
CN115390012B (en) Multi-transponder coordinate measuring method, device and system for HOV (Hov) accurate positioning
Quraishi et al. Easily deployable underwater acoustic navigation system for multi-vehicle environmental sampling applications
CN110501694B (en) Underwater node passive motion speed estimation method based on Doppler frequency shift estimation
Zhang et al. An underwater navigation system based on multi-orthogonal signals and its lake trial

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