CN109581275A - The underwater DOA estimation method of two dimension and device based on non-circular signal and three-dimensional orthogonal battle array - Google Patents

The underwater DOA estimation method of two dimension and device based on non-circular signal and three-dimensional orthogonal battle array Download PDF

Info

Publication number
CN109581275A
CN109581275A CN201811525200.3A CN201811525200A CN109581275A CN 109581275 A CN109581275 A CN 109581275A CN 201811525200 A CN201811525200 A CN 201811525200A CN 109581275 A CN109581275 A CN 109581275A
Authority
CN
China
Prior art keywords
linear array
array
signal
matrix
circular
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
CN201811525200.3A
Other languages
Chinese (zh)
Other versions
CN109581275B (en
Inventor
宁更新
姜伸接
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.)
South China University of Technology SCUT
Original Assignee
South China University of Technology SCUT
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 South China University of Technology SCUT filed Critical South China University of Technology SCUT
Priority to CN201811525200.3A priority Critical patent/CN109581275B/en
Publication of CN109581275A publication Critical patent/CN109581275A/en
Application granted granted Critical
Publication of CN109581275B publication Critical patent/CN109581275B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S3/00Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received

Landscapes

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

Abstract

The invention discloses a kind of underwater DOA estimation method of two dimension based on non-circular signal and three-dimensional orthogonal battle array and devices, the estimation device has chosen three-dimensional orthogonal uniform array in structure, the data that this array passes through subarray in three dimensions of reception, the unrelated arrival direction estimation of the velocity of sound can be finally obtained, it efficiently solves the problems, such as that velocity of sound deviation bring estimated accuracy declines, can achieve the purpose for promoting estimation performance.In addition to overcoming the problems, such as signal rapid decay in Underwater Acoustic Environment, the estimation device is by the way that non-circular signal to be applied in underwater DOA estimation, using the NC-ESPRIT algorithm based on non-circular signal, to promote estimation performance.To sum up, which combines the advantages of non-circular signal, while using three-dimensional orthogonal array, has carried out the unrelated optimization of the velocity of sound according to underwater environment, estimated accuracy is high, has stronger practicability.

Description

The underwater DOA estimation method of two dimension and device based on non-circular signal and three-dimensional orthogonal battle array
Technical field
The present invention relates to the technical fields of target positioning, and in particular to a kind of two based on non-circular signal and three-dimensional orthogonal battle array Tie up underwater DOA estimation method and device.
Background technique
Array signal process technique is widely used in various fields, and one of basic problem of array signal processing It is spacing wave Mutual coupling (DOA estimation).And underwater DOA estimation then refers to that placing sensor array in the water surface utilizes battle array Column signal processing technique carrys out the method for carrying out orientation estimation to underwater object.
Underwater DOA estimation using sound wave as transmitting carrier, due to acoustic signals under water environmental dissemination when, underwater acoustic channel In various barriers and rugged seabed caused by sound scattering act on, result in the sharp-decay of signal.Thus may be used See, the signal decaying of underwater acoustic channel limits application of the underwater acoustic channel in telecommunication.In addition to Underwater Acoustic Environment causes signal Rapid decay, another problem that underwater DOA estimation faces is exactly that the velocity of sound influences.The principle of DOA algorithm for estimating is to utilize battle array Column receive the directional information of the wave path-difference estimation space signal between signal.Due to the underwater environments such as river and ocean complexity and not Stablize, the speed of sound wave changes with position and time, and the estimated accuracy of underwater DOA algorithm is greatly affected.It is underwater at present DOA estimation method generally assumes that the velocity of sound is known fixed amount, this will affect the precision of wave path-difference.When real velocity of sound deviates in advance Therefore setting speed, estimated accuracy will reduce.
It is important as one using the DOA algorithm for estimating based on non-circular signal in order to improve underwater DOA algorithm for estimating performance Research direction.It is used in signal estimation in the feature that the pseudocovariance matrix of non-circular signal is not zero, is equivalent to virtual extended battle array Column, can significantly improve estimation performance.The increase of non-circular signal-virtual array element is but also algorithm can handle more than battle array simultaneously The information source number of column number has broad application prospects in complicated Underwater Acoustic Environment.
Array used by arrival direction estimation method at present is mostly L-type array, circle battle array and this kind of planar array of rectangular array Column.Planar array can obtain relatively good estimation effect in normal condition, but be used to lose when the underwater environment of sonic velocity change Certain estimated accuracy.
Summary of the invention
The purpose of the present invention is to solve drawbacks described above in the prior art, provide a kind of based on non-circular signal and three-dimensional The underwater DOA estimation method of the two dimension of orthogonal matrix and device, this method pass through the reception signal to sub-line battle array uniform in three dimensions It is handled, this factor of the velocity of sound is eliminated in two-dimentional DOA Mutual coupling, to eliminate underwater velocity of sound uncertainty to mesh Mark the influence of positioning accuracy.Emitted and received simultaneously because having chosen non-circular signal, significantly improves estimation performance.
The first purpose of this invention can be reached by adopting the following technical scheme that:
A kind of underwater DOA estimation method of two dimension based on non-circular signal and three-dimensional orthogonal battle array, the estimation method include:
S1, the array signal model for establishing the orthogonal linear array of cross, the array signal model are a cross cross line The combination of battle array and vertical linear array 3, the orthogonal linear array of the cross are made of linear array 1 and linear array 2, wherein linear array 1 is arranged in coordinate It is in x-axis, linear array 2 is arranged in coordinate system y-axis, and vertical linear array 3 is arranged in coordinate system z-axis, and linear array 1 and linear array 2 all respectively have 2M-1 reception array element, vertical linear array 3 have M reception array element, and the average headway between all adjacent array elements is d, by center frequency Rate is f, and non-circular rate is ρ, and the non-circular signal of 0 ρ≤1 < is as transmitting signal, while non-circular signal meets narrowband condition, i.e., when non- When circle signal delay is much smaller than inverse bandwidth, delayed-action, which is equivalent to, makes baseband signal generate a phase shift, with coordinate origin For reference point, it is assumed that submarine target total number is K, and the azimuth and the elevation angle of k-th target are expressed as θkAnd φk, θk∈ [0, π],The angle of target and coordinate system x-axis and y-axis distinguishes α simultaneouslykAnd βk, number of snapshots L, linear array 1 and linear array 2 connect It receives data matrix and is expressed as X and Y:
X=AxS+Nx (1)
Y=AyS+Ny (2)
Wherein S is the source signal matrix of K × L dimension, AxAnd AyIt is (2M-1) × K dimension guiding vector matrix, NxAnd NyIt is The noise matrix of (2M-1) × L dimension;
S2, the array signal model for establishing vertical linear array 3, vertical linear array 3 have M reception array element, the reception of vertical linear array 3 Data matrix can be expressed as Z:
Z=AzS+Nz (3)
Wherein AzIt is M × K dimension guiding vector matrix, NzIt is the noise matrix of M × L dimension;
S3, the corresponding information containing the velocity of sound of linear array 1, linear array 2 and vertical linear array 3 is found out using the DOA algorithm based on non-circular signal Feature value parameter uk、vkAnd wk, k=1,2 ..., K;
S4, three groups of feature value parameter u are carried out using subspace projection angle matched pair techniquek,vkAnd wk, k=1,2 ..., K's matches It is right;
S5, the estimating two-dimensional direction-of-arrival solution for solving target, i.e., for k, k=1,2 ..., the azimuth angle theta of K targetkWith Elevation angle φkEstimated value.
Further, in the step S1,
There is S=Φ S according to the non-circular characteristic of transmitting signalR, wherein SRFor the real part of source signal,For the non-circular phase for emitting signal, formula (1) and formula (2) are write At
X=AxΦSR+Nx (4)
Y=AyΦSR+Ny (5)
Since the non-circular signal echo of array received is also simultaneously narrow band signal, using the point of rotation as origin, guiding vector square Battle array Ax、AyExpression formula be written as:
Ax=[ax11) ax22) … axKK)] (6)
Ay=[ay11) ay22) … ayKK)] (7)
For k-th of target, then have
axkk)=[aX ,-M+1kk) … aX, -1kk) aX, 0kk) aX, 1kk) … aX, M-1kk)]T
(8)
aykk)=[aY ,-M+1kk) … aY, -1kk) aY, 0kk) aY, 1kk) … aY, M-1kk)]T
(9)
According to the angled relationships of linear array 1, linear array 2 and reference axis, angle [alpha], expression formula of the β about azimuth and the elevation angle are obtained
Therefore it obtains
Wherein λkFor the wavelength of sound wave, i.e. spacing d between the adjacent array element of even linear array two is less than the half of acoustic signals Wavelength, and speed v of the sound wave on detective path is unknown, therefore taking v is the minimum value in its range to determine λkValue.
Further, in the step S2,
According to the non-circular characteristic of transmitting signal, formula (3) is write as
Z=AzΦSR+Nz (13)
Since the non-circular signal echo of array received is also simultaneously narrow band signal, using the point of rotation as origin, AzExpression formula It is written as:
Az=[az11) az22) … azKK)] (14)
For k-th of target, then have
azkk)=[aZ, 0kk) … aZ, M-1kk)]T (15)
Further, in the step S3,
It is reconstructed for linear array 1 and receives signal array Wx:
Wherein J is a row switching matrix,
Construct WxCovariance matrix Rw, it is expressed as
Wherein RsIt is source signal real part SRCovariance matrix,It is the variance of noise component(s), I2MFor (4M-2) × (4M- 2) unit matrix.
To covariance matrix RwEigenvalues Decomposition is carried out, signal subspace matrix is obtainedBecause of signal subspace UsWith Bx Relationship have: span { Us}=span { Bx, therefore there are a non-singular matrix T to make UsT=Bx, define matrix T1= [0(M-1)×1 IM-1]T2=[IM-1 0(M-1)×1] and row switching matrixO is (M- in formula 1) × M dimension null matrix,
Covariance matrix RwEstimated valueIt is obtained by sampling
Wherein L is number of snapshots,
BuildingAnd feature decomposition is carried out again, obtain orthogonal matrix:
Obtain characteristic parameter uk, k=1,2 ... K;
Linear array 2 and the corresponding characteristic parameter v of vertical linear array 3 can similarly be obtainedkAnd wk:
Further, the step S4 process is as follows:
Structural matrix Q=[X first1,Y1,Z]T=AS+NQ, NQNoise matrix, X are tieed up for corresponding 3M × L1For X (M, 2M-1) row data, Y1For (M, 2M-1) row data of Y, guiding vector matrix A is by Ax1, Ay1And AzIt constitutes
A=[Ax1,Ay1,Az]T (24)
Wherein, Ax1For Ax(M, 2M-1) row, Ay1For Ay(M, 2M-1) row;
Obtain the covariance matrix R of QQHave:
RQ=QQH (25)
To RQEigenvalues Decomposition is carried out, corresponding noise subspace U is obtainedNQ, since guiding vector matrix and noise are empty Between there are orthogonality relations i.e.: AH·UNQ=o and construction cost function F
Construct guiding vector a (θii)=[u, v, w]T, wherein u, v, w are the vectors that K × 1 is tieed up, and respectively three groups special Value indicative parameter uk,vkAnd wkA kind of permutation and combination, be combined into K altogether3Guiding vector is organized, wherein the K group of cost function maximum value Corresponding combination is the combination of parameter successful matching.
Further, the step S5 process is as follows:
For k-th of target, azimuth angle theta is found outkWith elevation angle φkEstimated value, according to linear array 1, linear array 2 and vertical line Reception signal X, Y and the Z of battle array 3, and the corresponding parameter u of three sub- linear arrays is found out respectively using one-dimensional NC-ESPRIT algorithmk,vkWith wk, k=1,2 ..., K obtain azimuth angle thetakWith elevation angle φkEstimation:
Second object of the present invention can be reached by adopting the following technical scheme that:
A kind of underwater DOA estimation device of two dimension based on non-circular signal and three-dimensional orthogonal battle array, the estimation device include Data processing is connected to the control module transmitting module, receiving module, output mould with control module and respectively with data processing Block and power module, wherein the data processing and control module include sequentially connected A/D converter, D/A converter and Processor,
The transmitting module includes sequentially connected power amplifier, impedance matching circuit and ultrasonic wave transmitting probe, It is connected by D/A converter with processor, the non-circular signal specified according to the instruction issue that processor issues;
The receiving module uses the array signal model of the orthogonal linear array of cross, and the array signal model is one The combination of cross orthogonal linear array and vertical linear array 3, the orthogonal linear array of the cross are made of linear array 1 and linear array 2, wherein linear array 1 It is arranged in coordinate system x-axis, linear array 2 is arranged in coordinate system y-axis, and vertical linear array 3 is arranged in coordinate system z-axis, linear array 1 and line Battle array 2 all respectively has 2M-1 reception array element, and vertical linear array 3 has M reception array element, and the average headway between all adjacent array elements is d;
The output module includes USB interface and display, the number that will be disposed in data processing and control module According to being output to external device (ED) by USB interface or display is shown;
The power module respectively with data processing and control module, transmitting module, receiving module and output module phase Connect and is powered.
Further, the linear array 1, linear array 2 and vertical linear array 3 are connected by the fixation bracket of plastic material.
The present invention has the following advantages and effects with respect to the prior art:
1, the present invention is based on the NC-ESPRIT algorithms of non-circular signal to be applied to the underwater Mutual coupling of two dimension, sufficiently benefit With the non-circular characteristic of signal, the effect for being equivalent to array aperture extension can be obtained, so that underwater DOA estimated result is more smart Really.Moreover, the increase of Virtual array is but also estimation method of the present invention can be estimated more under conditions of identical array number More information source numbers.
2, compared with using traditional underwater two-dimension DOA algorithm, invention applies three-dimensional orthogonal uniform arrays, pass through 3 Angular relationship between a subarray and direction of arrival angle has eliminated this variable of the velocity of sound, so that last operation result and the velocity of sound It is unrelated, velocity of sound deviation is eliminated, so that the accuracy of estimation is higher, the more advantage when unknown velocity of sound environment carries out DOA estimation.
3, apparatus of the present invention are improved in traditional measuring device, use three-dimensional orthogonal even linear array feasibility By force, installation is simple.In addition to this, the continuous improvement of modern processors calculation processing ability, this makes place used in the present invention The integrated level for managing the chips such as device is high, and computing capability is strong, to ensure that feasibility of the invention.
Detailed description of the invention
Fig. 1 is the hardware configuration module map of apparatus of the present invention;
Fig. 2 is the reception array element Yu processor connection schematic diagram of three subarrays in apparatus of the present invention;
Fig. 3 is the array element arrangement figure of three-dimensional orthogonal even linear array in apparatus of the present invention;
Fig. 4 is three-dimensional orthogonal uniform line array and object module schematic diagram in apparatus of the present invention;
Fig. 5 is the receipt signal model of uniform sub-line battle array in x-axis;
Fig. 6 is the underwater DOA estimation method flow chart of the two dimension based on non-circular signal and three-dimensional orthogonal battle array disclosed by the invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Embodiment one
The present embodiment proposes a kind of underwater Mutual coupling of the two dimension based on non-circular signal and the uniform battle array of three-dimensional orthogonal Method is handled by the reception signal to sub-line battle array uniform in three dimensions, is eliminated in two-dimentional DOA Mutual coupling This factor of the velocity of sound, to eliminate influence of the underwater velocity of sound uncertainty to target location accuracy.Simultaneously because having chosen non-circular Signal is emitted and is received, and estimation performance is significantly improved.
As shown in Fig. 6, in the present embodiment based on non-circular signal and three-dimensional orthogonal even linear array unknown velocity of sound environment into Row underwater two-dimension DOA estimation method the following steps are included:
S1, the array signal model for establishing the orthogonal linear array of cross.Three-dimensional orthogonal linear array as shown in Figure 4 is placed, can be seen Work is the combination of a cross orthogonal linear array and vertical linear array 3, and the sub-line battle array of the orthogonal linear array of cross is set to linear array 1 and linear array 2, wherein linear array 1 is arranged in coordinate system x-axis, and linear array 2 is arranged in coordinate system y-axis, and vertical linear array 3 is arranged in coordinate system z-axis On.Linear array 1 and linear array 2 all respectively have 2M-1 reception array element, and vertical linear array 3 has M reception array element, between all adjacent array elements Average headway is d.Centre frequency is f, and non-circular rate is the non-circular signal of ρ (0 ρ≤1 <) as transmitting signal, and synchronous signal meets Narrowband condition, i.e., when signal delay is much smaller than inverse bandwidth, delayed-action, which is equivalent to, makes baseband signal generate a phase shift.With Coordinate origin is reference point, it is assumed that submarine target total number is K, and the azimuth and the elevation angle of k-th target are represented by θkWith φkk∈ [0, π],), while the angle of target and coordinate system x-axis and y-axis distinguishes αkAnd βk.Number of snapshots are L, line The reception data matrix of battle array 1 and linear array 2 can be expressed as X and Y:
X=AxS+Nx (1)
Y=AyS+Ny (2)
Wherein S is the source signal matrix of K × L dimension, AxAnd AyIt is (2M-1) × K dimension guiding vector matrix, NxAnd NyIt is The noise matrix of (2M-1) × L dimension;
Transmitting signal meets narrowband condition, i.e., when signal delay is much smaller than inverse bandwidth, delayed-action, which is equivalent to, makes base Band signal generates a phase shift;
There is S=Φ S according to the non-circular characteristic of transmitting signalR, wherein SRFor the real part of source signal,For the non-circular phase for emitting signal, formula (1) and formula (2) are write At
X=AxΦSR+Nx (3)
Y=AyΦSR+Ny (4)
Since the non-circular signal echo of array received is also simultaneously narrow band signal, using the point of rotation as origin, 2 guiding vectors The expression formula of matrix is written as:
Ax=[ax11) ax22) … axKK)] (5)
Ay=[ay11) ay22) … ayKK)] (6)
For k-th of target, then have
axkk)=[aX ,-M+1kk) … aX, -1kk) aX, 0kk) aX, 1kk) … aX, M-1kk)]T
(7)
aykk)=[aY ,-M+1kk) … aY, -1kk) aY, 0kk) aY, 1kk) … aY, M-1kk)]T
(8)
According to the angled relationships of linear array 1, linear array 2 and reference axis, angle [alpha], expression formula of the β about azimuth and the elevation angle are obtained
Therefore available
Wherein λkFor the wavelength of sound wave, i.e. spacing d between the adjacent array element of even linear array two is less than the half of acoustic signals Wavelength.And speed v of the sound wave on detective path is unknown, therefore taking v is the minimum value in its range to determine λkValue.
S2, the array signal model for establishing vertical linear array.As shown in figure 4, vertical linear array 3 hasMA reception array element, vertical line The reception data matrix of battle array 3 can be expressed as Z:
Z=AzS+Nz (12)
AzIt is M × K dimension guiding vector matrix, NzIt is the noise matrix of M × L dimension.It, will according to the non-circular characteristic of transmitting signal Formula (12) is write as
Z=AzΦSR+Nz (13)
Since the non-circular signal echo of array received is also simultaneously narrow band signal, using the point of rotation as origin, AzExpression formula It is written as:
Az=[az11) az22) … azKK)] (14)
For k-th of target, then have
azkk)=[aZ, 0kk) … aZ, M-1kk)]T (15)
S3, the corresponding information containing the velocity of sound of linear array 1, linear array 2 and vertical linear array 3 is found out using the DOA algorithm based on non-circular signal Feature value parameter uk、vkAnd wk, k=1,2 ..., K;By taking linear array 1 as an example, it can reconstruct and receive signal array Wx:
Wherein J is a row switching matrix,
Construct WxCovariance matrix Rw, it is expressed as
Wherein RsIt is source signal real part SRCovariance matrix,It is the variance of noise component(s), I2MFor (4M-2) × (4M- 2) unit matrix.
To covariance matrix RwEigenvalues Decomposition is carried out, signal subspace matrix is obtainedBecause of signal subspace UsWith BxRelationship have: span { Us}=span { Bx, therefore there are a non-singular matrix T to make UsT=Bx, define matrix T1= [0(M-1)×1 IM-1]T2=[IM-1 0(M-1)×1] and row switching matrixO is (M- in formula 1) × M dimension null matrix.
In actual conditions, covariance matrix RwEstimated valueIt is obtained by sampling
Wherein L is number of snapshots,
BuildingAnd feature decomposition is carried out again, obtain orthogonal matrix:
Obtain characteristic parameter uk, k=1,2 ... K;Linear array 2 and the corresponding characteristic parameter v of vertical linear array 3 can similarly be obtainedkWith wk:
S4, by three groups of feature value parameter (i.e. uk,vkAnd wk, k=1,2 ..., K) carry out parameter pairing;In order to realize three-dimensional Three groups of parameter (i.e. u of arrayk,vkAnd wk, k=1,2 ..., K) successful pairing, the present embodiment, which uses, a kind of is based on subspace 3 parameters of projection angle are matched, the array configuration proposed suitable for the present embodiment;Structural matrix Q=[X first1,Y1,Z]T= A·S+NQ(X1For (M, 2M-1) row data of X, Y1For (M, 2M-1) the row data of Y), wherein NQNoise is tieed up for corresponding 3M × L Matrix, guiding vector matrix A is by Ax1(Ax(M, 2M-1) row), Ay1(Ay(M, 2M-1) row) and AzIt constitutes
A=[Ax1,Ay1,Az]T (24)
Obtain the covariance matrix R of QQHave:
RQ=QQH (25)
To RQEigenvalues Decomposition is carried out, corresponding noise subspace U is obtainedNQ, since guiding vector matrix and noise are empty Between there are orthogonality relations i.e.: AH·UNQ=o andCost function F can be constructed
Construct guiding vector a (θii)=[u, v, w]T, wherein u, v, w are the vectors that K × 1 is tieed up, and respectively three groups special Value indicative parameter uk,vkAnd wkA kind of permutation and combination, K can be combined into altogether3Guiding vector is organized, wherein cost function maximum value The corresponding combination of K group be parameter successful matching combination.
S5, the estimating two-dimensional direction-of-arrival solution for solving target, i.e., for k, k=1,2 ..., the azimuth angle theta of K targetkWith Elevation angle φkEstimated value.For k-th of target, azimuth angle theta is found outkWith elevation angle φkEstimated value.According to connecing for three sub- linear arrays The collection of letters X, Y and Z, and the corresponding parameter u of three sub- linear arrays is found out respectively using one-dimensional NC-ESPRIT algorithmk,vkAnd wk, k= 1,2,…,K.Therefore available azimuth angle thetakWith elevation angle φkEstimation:
Embodiment two
Present embodiment discloses a kind of underwater one-dimensional DOA estimations based on non-circular signal and three-dimensional orthogonal even linear array to fill It sets, the estimation device includes data processing and control module, transmitting module, receiving module, output module and power module, Specific structure is as depicted in figs. 1 and 2.
Data processing and control module are made of a pair of of multichannel A/D, D/A converter and a processor, are whole devices Core, other all modules are all connected directly with it.It can control transmitting module, specify transmitting module transmitting Signal;The signal come can be transmitted through to receiving module simultaneously to handle, algorithm through the invention calculates direction of arrival angle, Then output module is transmitted the result to.
Receiving module includes 3 array ultrasonic probes put with proportional spacing.Attached drawing 2 is array apparatus connection figure, As shown, linear array 1, linear array 2 and vertical linear array 3 link together.
Transmitting module is made of sequentially connected power amplifier, impedance matching circuit and ultrasonic wave transmitting probe, is passed through D/A converter is connected with processor, the specified signal of the instruction issue that can be issued according to processor.
Output module is made of a USB interface and a display, and with data processing and control module and power supply Module is connected.It is capable of providing human-computer interaction, and the data handled well in data processing and control module are exported by USB interface It shows to external device (ED) or over the display.
Power module is connected with data processing with control module, transmitting module, receiving module and output module respectively goes forward side by side Row power supply.
Receiving module use the orthogonal linear array of cross array signal model, the array signal model be a cross just The combination of intersection battle array and vertical linear array 3, the orthogonal linear array of the cross are made of linear array 1 and linear array 2, wherein linear array 1 is arranged in In coordinate system x-axis, linear array 2 is arranged in coordinate system y-axis, and vertical linear array 3 is arranged in coordinate system z-axis, and linear array 1 and linear array 2 are all Respectively there is 2M-1 reception array element, vertical linear array 3 has M reception array element, and the average headway between all adjacent array elements is d.
Because receiving module can be placed in water, fixed bracket uses plastic material to increase buoyancy.
The main working process of apparatus of the present invention is as follows: according to the signal parameter for wanting transmitting during actual measurement, passing through Data processing parameter corresponding with control module input makes processor generate corresponding digital signal, after then being converted by D/A It is transmitted to transmitting module, ultrasonic wave transmitting probe can generate the signal needed and be emitted.Receiving array in receiving module It receives and is converted into it after digital signal by A/D after the reflected signal of target sound source to be sent to processor, then locate It manages device and result is calculated according to underwater DOA estimation method.Calculated result is transmitted to output mould by final data processing and control module Result is transmitted to external equipment by USB interface or is shown by display by block, output module.Power module is all Other module for power supply.
Embodiment three
The present embodiment specifically discloses a kind of underwater one-dimensional DOA estimation dress based on non-circular signal and three-dimensional orthogonal even linear array It sets, including data processing and control module, transmitting module, receiving module, output module and power module.Data processing and control Module can realize that (such as: the dsp chip of TI company's T MS320VC5509A model) this dsp chip can realize A/D with dsp chip The function of conversion and D/A conversion, and can be realized the calculating of final direction of arrival;3 uniform arrays assemble as shown in Figure 3;Hair It penetrates module and uses a ultrasonic wave transmitting probe;Output module uses a USB interface and a LCD display.Fig. 1 is this The hardware configuration module map of invention described device.
Groundwork step of the invention is specific as follows:
Step T1, specific device is connected by Fig. 2, wherein the element number of array in the linear array 1 and linear array 2 in receiving module is fixed It is 15, the element number of array in vertical linear array 3 is set to 8.Linear array 1, linear array 2 and vertical linear array 3 are even linear arrays.At data Reason sends with control module and instructs, control ultrasound emission probe transmitting ultrasonic signal s (t), and it is 20 ° that transmitting signal, which is initial phase, The bpsk signal of non-circular rate ρ=1, the frequency of signal are fs=10kHz, pulse length 5ms;Velocity of sound range is substantially in seawater 1430m/s-1550m/s, then taking the minimum velocity of sound is 1430m/s, can find out a length of 7.15cm of minimum half-wave.Any two adjacent lines The distance between battle array is necessarily less than 7.15cm, and array element spacing can be arbitrarily chosen in the case where meeting this restrictive condition, so setting The average headway of 2 adjacent array element is 5cm in linear array, i.e. first array element and the last one array element is separated by 35cm.It puts under water A target sound source is set, the two-dimentional incident angle for being incident on three-dimensional orthogonal uniform array is (60 °, 45 °).
Step T2, the target sound source signal received to ultrasonic reception probe linear array samples;Even linear array 1 receives Signal be x1(t),x2(t),…,x15(t), 2 received signal of even linear array is y1(t),y2(t),…,y15(t), uniform line 3 received signals of battle array are z1(t),z2(t),…,z8(t).Sampling receives 200 times altogether, and the signal received is passed to data Processing is analyzed and processed with control module.
Step T3, analysis processing step of the signal in processing module is specific as follows:
1) receipt signal matrix X, Y and Z of 3 even linear arrays are obtained respectively according to the signal that receives, then with being based on The one-dimensional NC-ESPRIT algorithm of non-circular signal finds out corresponding parameter uk、vkAnd wk, k=1,2 ..., K.
2) the parameter u found out is utilizedk、vkAnd wk, k=1,2 ..., K carry out the pairing of 3 groups of parameters.Most according to cost function Big value principle, to parameter uk、vkAnd wk, k=1,2 ..., K carry out full combination traversal, each combination all according to cost function into Row compares, the combination corresponding for maximum K value, the as combination of successful matching.
3) the estimating two-dimensional direction-of-arrival solution for solving target finds out target angle θ that is, for k-th of targetkEstimation Value.Using the parameter of successful matching, according to formula (27) find out respectively total K two dimensional angle (azimuth angle theta and Elevation angle φ), and this result estimated is stored.
Step T4, the final estimated result after average value will be acquired and send output module to, it is defeated to make it through USB interface It to external device (ED) or is shown on LCD display out.According to the method and apparatus that this patent proposes, target state estimator result is (58.86 °, 45.21 °), have reached expected precision, have illustrated that estimated result is correct, the method for the present invention and device are feasible.
In conclusion above-described embodiment is to overcome the problems, such as signal rapid decay in Underwater Acoustic Environment, by by non-circular letter It number is applied in underwater DOA estimation, using the NC-ESPRIT algorithm based on non-circular signal, to promote estimation performance.It is above-mentioned simultaneously Embodiment uses a three-dimensional orthogonal even linear array as receiving array, root to eliminate estimated bias caused by velocity of sound influence Underwater DOA is further improved using the arrival direction estimation expression formula unrelated with the velocity of sound according to the angular relationship between linear array Estimated accuracy.The advantages of present invention incorporates non-circular signals has carried out sound using three-dimensional orthogonal even linear array in conjunction with underwater environment The unrelated optimization of speed, estimated accuracy is high, has stronger practicability.
The above embodiment is a preferred embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment Limitation, other any changes, modifications, substitutions, combinations, simplifications made without departing from the spirit and principles of the present invention, It should be equivalent substitute mode, be included within the scope of the present invention.

Claims (8)

1. a kind of underwater DOA estimation method of two dimension based on non-circular signal and three-dimensional orthogonal battle array, which is characterized in that the estimation Method includes:
S1, the array signal model for establishing the orthogonal linear array of cross, the array signal model be the orthogonal linear array of a cross and The combination of vertical linear array 3, the orthogonal linear array of the cross are made of linear array 1 and linear array 2, wherein linear array 1 is arranged in coordinate system x On axis, linear array 2 is arranged in coordinate systemyOn axis, vertical linear array 3 is arranged in coordinate system z-axis, and linear array 1 and linear array 2 all respectively have 2M-1 A reception array element, vertical linear array 3 haveMA reception array element, the average headway between all adjacent array elements ared, it is by centre frequencyf, Non-circular rate is ρ, and the non-circular signal of 0 ρ≤1 < is as transmitting signal, while non-circular signal meets narrowband condition, i.e., when non-circular signal When delay is much smaller than inverse bandwidth, delayed-action, which is equivalent to, makes baseband signal generate a phase shift, is reference with coordinate origin Point, it is assumed that submarine target total number is K, and the azimuth and the elevation angle of k-th target are expressed as θkAnd φk, θk∈ [0, π],Target and coordinate system simultaneouslyxAxis and the angle of y-axis distinguish αkAnd βk, number of snapshots L, linear array 1 and linear array 2 connect It receives data matrix and is expressed as X and Y:
X=AxS+Nx (1)
Y=AyS+Ny (2)
Wherein S is the source signal matrix of K × L dimension, AxAnd AyIt is (2M-1) × K dimension guiding vector matrix, NxAnd NyIt is (2M- 1) × L dimension noise matrix;
S2, the array signal model for establishing vertical linear array 3, vertical linear array 3 haveMA reception array element, the reception data of vertical linear array 3 Matrix can be expressed as Z:
Z=AzS+Nz (3)
AzIt is M × K dimension guiding vector matrix, NzIt is the noise matrix of M × L dimension;
S3, the spy that the corresponding information containing the velocity of sound of linear array 1, linear array 2 and vertical linear array 3 is found out using the DOA algorithm based on non-circular signal Value indicative parameter uk、vkAnd wk, k=1,2 ..., K;
S4, three groups of feature value parameter u are carried out using subspace projection angle matched pair techniquek,vkAnd wk, k=1,2 ..., the pairing of K;
S5, the estimating two-dimensional direction-of-arrival solution for solving target, i.e., for kth, k=1, the azimuth angle theta of 2 ..., K targetkWith face upward Angle φkEstimated value.
2. the underwater DOA estimation method of the two dimension according to claim 1 based on non-circular signal and three-dimensional orthogonal battle array, feature It is, in the step S1,
There is S=Φ S according to the non-circular characteristic of transmitting signalR, wherein SRFor the real part of source signal, For the non-circular phase for emitting signal, formula (1) and formula (2) are write At
X=AxΦSR+Nx (4)
Y=AyΦSR+Ny (5)
Since the non-circular signal echo of array received is also simultaneously narrow band signal, using the point of rotation as origin, guiding vector matrix Ax、 AyExpression formula be written as:
Ax=[ax11) ax22)…axKK)] (6)
Ay=[ay11) ay22)…ayKK)] (7)
For k-th of target, then have
axkk)=[aX ,-M+1kk)…aX, -1kk) aX, 0kk) aX, 1kk)…aX, M-1k, φk)]T(8)
aykk)=[aY ,-M+1kk)…aY, -1kk)aY, 0kk)aY, 1kk)…aY, M-1kk)]T (9)
According to the angled relationships of linear array 1, linear array 2 and reference axis, angle [alpha], expression formula of the β about azimuth and the elevation angle are obtained
Therefore it obtains
Wherein λkFor the half-wavelength that the wavelength of sound wave, i.e. spacing d between the adjacent array element of even linear array two are less than acoustic signals, And speed v of the sound wave on detective path is unknown, therefore taking v is the minimum value in its range to determine λkValue.
3. the underwater DOA estimation method of the two dimension according to claim 2 based on non-circular signal and three-dimensional orthogonal battle array, feature It is, in the step S2,
According to the non-circular characteristic of transmitting signal, formula (3) is write as
Z=AzΦSR+Nz (13)
Since the non-circular signal echo of array received is also simultaneously narrow band signal, using the point of rotation as origin, AzExpression formula be written as:
Az=[az11) az22)…azKK)] (14)
For k-th of target, then have
azkk)=[aZ, 0kk)…aZ, M-1kk)]T (15)
4. the underwater DOA estimation method of the two dimension according to claim 3 based on non-circular signal and three-dimensional orthogonal battle array, feature It is, in the step S3,
It is reconstructed for linear array 1 and receives signal array Wx:
Wherein J is a row switching matrix,
Construct WxCovariance matrix Rw, it is expressed as
Wherein RsIt is source signal real part SRCovariance matrix,It is the variance of noise component(s), I2MFor (4M-2) × (4M-2's) Unit matrix;
To covariance matrix RwEigenvalues Decomposition is carried out, signal subspace matrix is obtainedBecause of signal subspace UsWith BxPass System has: span { Us}=span { Bx, therefore there are a non-singular matrix T to make UsT=Bx, define matrix T1=[0(M-1)×1 IM-1]T2=[IM-1 0(M-1)×1] and row switching matrixO is (M-1) × M dimension in formula Null matrix,
Covariance matrix RwEstimated valueIt is obtained by sampling
Wherein L is number of snapshots,
BuildingAnd feature decomposition is carried out again, obtain orthogonal matrix:
Obtain characteristic parameter uk, k=1,2 ... K;
Linear array 2 and the corresponding characteristic parameter v of vertical linear array 3 can similarly be obtainedkAnd wk:
5. the underwater DOA estimation method of the two dimension according to claim 4 based on non-circular signal and three-dimensional orthogonal battle array, feature It is, the step S4 process is as follows:
Structural matrix Q=[X first1,Y1,Z]T=AS+NQ, NQNoise matrix, X are tieed up for corresponding 3M × L1For (M, the 2M- of X 1) row data, Y1For (M, 2M-1) row data of Y, guiding vector matrix A is by Ax1, Ay1And AzIt constitutes
A=[Ax1,Ay1,Az]T (24)
Wherein, Ax1For Ax(M, 2M-1) row, Ay1For Ay(M, 2M-1) row;
Obtain the covariance matrix R of QQHave:
RQ=QQH (25)
To RQEigenvalues Decomposition is carried out, corresponding noise subspace U is obtainedNQ, since guiding vector matrix is deposited with noise subspace Orthogonality relation i.e.: AH·UNQ=o andConstruct cost function F
Construct guiding vector a (θii)=[u, v, w]T, wherein u, v, w are the vector that K × 1 is tieed up, respectively three groups of characteristic values Parameter uk,vkAnd wkA kind of permutation and combination, be combined into K altogether3Group guiding vector, wherein the K group institute of cost function maximum value is right The combination answered is the combination of parameter successful matching.
6. the underwater DOA estimation method of the two dimension according to claim 5 based on non-circular signal and three-dimensional orthogonal battle array, feature It is, the step S5 process is as follows:
For k-th of target, azimuth angle theta is found outkWith elevation angle φkEstimated value, according to linear array 1, linear array 2 and vertical linear array 3 Signal X, Y and Z are received, and finds out the corresponding parameter u of three sub- linear arrays respectively using one-dimensional NC-ESPRIT algorithmk,vkAnd wk,k =1,2 ..., K obtain azimuth angle thetakWith elevation angle φkEstimation:
7. a kind of underwater DOA estimation device of two dimension based on non-circular signal and three-dimensional orthogonal battle array, which is characterized in that the estimation Device includes data processing and control module and is connected to the control module transmitting module with data processing respectively, receives mould Block, output module and power module, wherein the data processing and control module includes sequentially connected A/D converter, D/ A converter and processor,
The transmitting module includes sequentially connected power amplifier, impedance matching circuit and ultrasonic wave transmitting probe, is passed through D/A converter is connected with processor, the non-circular signal specified according to the instruction issue that processor issues;
The receiving module uses the array signal model of the orthogonal linear array of cross, and the array signal model is a cross The combination of orthogonal linear array and vertical linear array 3, the orthogonal linear array of the cross are made of linear array 1 and linear array 2, wherein linear array 1 is arranged In in coordinate system x-axis, linear array 2 is arranged in coordinate system y-axis, and vertical linear array 3 is arranged in coordinate system z-axis, linear array 1 and linear array 2 All respectively there is 2M-1 reception array element, vertical linear array 3 has M reception array element, and the average headway between all adjacent array elements is d;
The output module includes USB interface and display, and the data being disposed in data processing and control module are led to Cross that USB interface is output to external device (ED) or display is shown;
The power module is connected simultaneously with data processing with control module, transmitting module, receiving module and output module respectively It is powered.
8. the underwater DOA estimation device of the two dimension according to claim 7 based on non-circular signal and three-dimensional orthogonal battle array, feature It is, the linear array 1, linear array 2 and vertical linear array 3 are connected by the fixation bracket of plastic material.
CN201811525200.3A 2018-12-13 2018-12-13 Two-dimensional underwater DOA estimation method and device based on non-circular signal and three-dimensional orthogonal array Active CN109581275B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811525200.3A CN109581275B (en) 2018-12-13 2018-12-13 Two-dimensional underwater DOA estimation method and device based on non-circular signal and three-dimensional orthogonal array

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811525200.3A CN109581275B (en) 2018-12-13 2018-12-13 Two-dimensional underwater DOA estimation method and device based on non-circular signal and three-dimensional orthogonal array

Publications (2)

Publication Number Publication Date
CN109581275A true CN109581275A (en) 2019-04-05
CN109581275B CN109581275B (en) 2023-09-29

Family

ID=65928527

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811525200.3A Active CN109581275B (en) 2018-12-13 2018-12-13 Two-dimensional underwater DOA estimation method and device based on non-circular signal and three-dimensional orthogonal array

Country Status (1)

Country Link
CN (1) CN109581275B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110297209A (en) * 2019-04-08 2019-10-01 华南理工大学 A kind of estimating two-dimensional direction-of-arrival method based on parallel relatively prime array space-time corner
CN111273219A (en) * 2020-02-17 2020-06-12 华南理工大学 One-dimensional underwater direction of arrival estimation method based on circular and non-circular mixed signals
CN111366891A (en) * 2020-03-23 2020-07-03 电子科技大学 Pseudo covariance matrix-based uniform circular array single snapshot direction finding method
CN113296049A (en) * 2021-04-28 2021-08-24 南京航空航天大学 Conjugate amplification DOA estimation method of non-circular signals in co-prime array pulse environment
CN113504504A (en) * 2021-06-04 2021-10-15 华南理工大学 Underwater high-precision one-dimensional DOA estimation method

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080231505A1 (en) * 2007-03-23 2008-09-25 Weiqing Zhu Method of Source Number Estimation and Its Application in Method of Direction of Arrival Estimation
US20110050500A1 (en) * 2009-09-01 2011-03-03 Fujitsu Limited Method of estimating direction of arrival and apparatus thereof
KR101426862B1 (en) * 2013-03-19 2014-08-07 국방과학연구소 3 Dimension Array Antenna System and Altitude Angle Estimation Method thereof
CN105607033A (en) * 2016-03-07 2016-05-25 华南理工大学 Orthogonal uniform linear array-based underwater direction-of-arrival (DOA) estimation method and system
CN106500820A (en) * 2016-10-13 2017-03-15 华南理工大学 A kind of sonic velocity measurement method and device for estimating two-dimensional direction-of-arrival
CN106908754A (en) * 2017-02-22 2017-06-30 西安电子科技大学 L-type acoustic vector-sensor array row ESPRIT decorrelation LMS method for parameter estimation
CN107037393A (en) * 2017-05-19 2017-08-11 西安电子科技大学 Not rounded signal wave based on nested array reaches bearing estimate method
CN107942284A (en) * 2017-10-31 2018-04-20 华南理工大学 Underwater Wave arrival direction estimating method and device based on two-dimensional quadrature Nonuniform Linear Array
CN108008348A (en) * 2017-11-16 2018-05-08 华南理工大学 Underwater Wave arrival direction estimating method and device based on adjustable angle even linear array
CN108414967A (en) * 2018-04-11 2018-08-17 华南理工大学 Based on L gusts of underwater two-dimension Wave arrival direction estimating method and device of angle adjustable double
CN108519576A (en) * 2018-03-21 2018-09-11 华南理工大学 Underwater Wave arrival direction estimating method based on the adjustable Nonuniform Linear Array of angle and device
CN108535682A (en) * 2018-06-15 2018-09-14 华南理工大学 It is a kind of based on rotating non-homogeneous double L gusts of underwater two-dimension DOA estimation method and device

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080231505A1 (en) * 2007-03-23 2008-09-25 Weiqing Zhu Method of Source Number Estimation and Its Application in Method of Direction of Arrival Estimation
US20110050500A1 (en) * 2009-09-01 2011-03-03 Fujitsu Limited Method of estimating direction of arrival and apparatus thereof
KR101426862B1 (en) * 2013-03-19 2014-08-07 국방과학연구소 3 Dimension Array Antenna System and Altitude Angle Estimation Method thereof
CN105607033A (en) * 2016-03-07 2016-05-25 华南理工大学 Orthogonal uniform linear array-based underwater direction-of-arrival (DOA) estimation method and system
CN106500820A (en) * 2016-10-13 2017-03-15 华南理工大学 A kind of sonic velocity measurement method and device for estimating two-dimensional direction-of-arrival
CN106908754A (en) * 2017-02-22 2017-06-30 西安电子科技大学 L-type acoustic vector-sensor array row ESPRIT decorrelation LMS method for parameter estimation
CN107037393A (en) * 2017-05-19 2017-08-11 西安电子科技大学 Not rounded signal wave based on nested array reaches bearing estimate method
CN107942284A (en) * 2017-10-31 2018-04-20 华南理工大学 Underwater Wave arrival direction estimating method and device based on two-dimensional quadrature Nonuniform Linear Array
CN108008348A (en) * 2017-11-16 2018-05-08 华南理工大学 Underwater Wave arrival direction estimating method and device based on adjustable angle even linear array
CN108519576A (en) * 2018-03-21 2018-09-11 华南理工大学 Underwater Wave arrival direction estimating method based on the adjustable Nonuniform Linear Array of angle and device
CN108414967A (en) * 2018-04-11 2018-08-17 华南理工大学 Based on L gusts of underwater two-dimension Wave arrival direction estimating method and device of angle adjustable double
CN108535682A (en) * 2018-06-15 2018-09-14 华南理工大学 It is a kind of based on rotating non-homogeneous double L gusts of underwater two-dimension DOA estimation method and device

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
GENGXIN NING等: "A velocity independent MUSIC algorithm for DOA estimation", 《2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC)》, pages 1 - 4 *
HAN CHEN等: "Real-Valued ESPRIT for two-dimensional DOA estimation of noncircular signals for acoustic vector sensor array", 《2015 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)》, pages 2153 - 2156 *
陈华: "窄带阵列信号的二维测向技术研究", 《中国博士学位论文全文数据库信息科技辑(月刊)》, no. 5, pages 136 - 5 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110297209A (en) * 2019-04-08 2019-10-01 华南理工大学 A kind of estimating two-dimensional direction-of-arrival method based on parallel relatively prime array space-time corner
CN111273219A (en) * 2020-02-17 2020-06-12 华南理工大学 One-dimensional underwater direction of arrival estimation method based on circular and non-circular mixed signals
CN111273219B (en) * 2020-02-17 2023-04-21 华南理工大学 One-dimensional underwater arrival direction estimation method based on round and non-round mixed signals
CN111366891A (en) * 2020-03-23 2020-07-03 电子科技大学 Pseudo covariance matrix-based uniform circular array single snapshot direction finding method
CN111366891B (en) * 2020-03-23 2022-03-29 电子科技大学 Pseudo covariance matrix-based uniform circular array single snapshot direction finding method
CN113296049A (en) * 2021-04-28 2021-08-24 南京航空航天大学 Conjugate amplification DOA estimation method of non-circular signals in co-prime array pulse environment
CN113296049B (en) * 2021-04-28 2024-02-20 南京航空航天大学 Conjugate augmented DOA estimation method for non-circular signals in intersubstance array pulse environment
CN113504504A (en) * 2021-06-04 2021-10-15 华南理工大学 Underwater high-precision one-dimensional DOA estimation method
CN113504504B (en) * 2021-06-04 2023-06-20 华南理工大学 Underwater high-precision one-dimensional DOA estimation method

Also Published As

Publication number Publication date
CN109581275B (en) 2023-09-29

Similar Documents

Publication Publication Date Title
CN109581275A (en) The underwater DOA estimation method of two dimension and device based on non-circular signal and three-dimensional orthogonal battle array
Hawkes et al. Effects of sensor placement on acoustic vector-sensor array performance
CN104181505B (en) A kind of multi-target underwater acoustic positioning method and system based on near-field sources localization algorithm
CN106950529B (en) Acoustic vector near field sources ESPRIT and MUSIC method for parameter estimation
Gassmann et al. Three-dimensional tracking of Cuvier's beaked whales' echolocation sounds using nested hydrophone arrays
CN104007414B (en) Estimating two-dimensional direction-of-arrival method and estimator based on planar array
CN105607033A (en) Orthogonal uniform linear array-based underwater direction-of-arrival (DOA) estimation method and system
CN110109053A (en) Quick DOA estimation method under a kind of unknown velocity of sound environment
CN108845325A (en) Towed linear-array sonar submatrix error misfits estimation method
CN106249225B (en) Sparse circle acoustic vector-sensor array column quaternary number ESPRIT method for parameter estimation
CN108089155A (en) Single hydrophone sound source Passive Location under a kind of abyssal environment
CN106249196B (en) Three-component acoustic vector sensors thinned array quaternary number ambiguity solution method
CN109597021B (en) Direction-of-arrival estimation method and device
CN104931929B (en) Linear array comprehensive sound velocity compensation-based near-field direction of arrival estimation method and device
CN109521392A (en) Underwater one-dimensional DOA estimation method and device based on non-circular signal and L-type linear array
CN108414967A (en) Based on L gusts of underwater two-dimension Wave arrival direction estimating method and device of angle adjustable double
CN107942284A (en) Underwater Wave arrival direction estimating method and device based on two-dimensional quadrature Nonuniform Linear Array
CN103454616A (en) Method for estimating orientation of cross type velocity gradient hydrophone
CN109407048A (en) Underwater DOA estimation method and device based on non-circular signal and the adjustable battle array of angle
CN109884580A (en) Underwater one-dimensional DOA estimation method and device
JP6207817B2 (en) Underwater position-related information acquisition system
CN109581274A (en) The underwater DOA estimation method of non-circular signal and device based on angle adjustable three-dimensional battle array
CN209640473U (en) The underwater DOA estimation device of two dimension based on non-circular signal and three-dimensional orthogonal battle array
Urazghildiiev et al. Maximum likelihood estimators and Cramér–Rao bound for estimating azimuth and elevation angles using compact arrays
CN111381212A (en) Virtual ultrashort baseline positioning method based on subarray division

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