CN103592628A - Multi-sound-source positioning method based on formation of real value weight beam in spherical harmonic domain - Google Patents
Multi-sound-source positioning method based on formation of real value weight beam in spherical harmonic domain Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/18—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using ultrasonic, sonic, or infrasonic waves
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
- G01S3/80—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using ultrasonic, sonic or infrasonic waves
- G01S3/802—Systems for determining direction or deviation from predetermined direction
- G01S3/808—Systems for determining direction or deviation from predetermined direction using transducers spaced apart and measuring phase or time difference between signals therefrom, i.e. path-difference systems
- G01S3/8083—Systems for determining direction or deviation from predetermined direction using transducers spaced apart and measuring phase or time difference between signals therefrom, i.e. path-difference systems determining direction of source
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Abstract
The invention discloses a multi-sound-source positioning method based on formation of a real value weight beam in a spherical harmonic domain. The multi-sound-source positioning method comprises the steps that a sound field model that unit amplitude plane waves enter a spherical microphone array is firstly established; then a spherical harmonic domain noise source signal model is constructed; spherical harmonic domain real value beam forming is carried out on noise source signals received by the spherical microphone array to obtain the beam in the spherical harmonic domain; an MVDR beam when the gain of the spherical microphone array is the maximum is constructed, and the optimal real value weight at the time is obtained; finally, the peak point of the square of the real value weight in the spherical harmonic domain is calculated, and the dimensional orientation maximum estimated value point of sound sources is extracted. According to the multi-sound-source positioning method based on formation of the real value weight beam in the spherical harmonic domain, the optimum real value weight in the spherical harmonic domain is obtained by utilizing the formation of the MVDR beam, the defects of large calculation amount and high calculation complexity of a traditional method are overcome, the calculation amount is obviously lowered, all-dimensional estimation of a free space is met, and the sound field is sampled more sufficiently.
Description
Technical field
The present invention relates to a kind of many sound localization methods that form based on the real-valued weight wave beam in the humorous territory of ball, can be widely used in the fields such as auditory localization.Specifically based on the undistorted response of minimum variance (MVDR) wave beam, form principle, in conjunction with the conversion between He Qiuxie territory, spatial domain, the spatial domain acoustic field signal that spherical microphone array is collected is transformed into the humorous territory of ball, carrying out the real-valued weight wave beam in the humorous territory of ball forms, construct the weight design that real-valued MVDR wave beam forms, utilize lagrange's method of multipliers to try to achieve optimum real-valued weight, finally by searching for the peak value of real-valued weight square, obtain the attitude information of sound source.Compare with traditional sound localization method, what this method adopted is real-valued weight, only needs amplitude weighting, has reduced calculated amount, has reduced computation complexity, can meet the comprehensive estimation of free space, and sound field is sampled more fully.
Background technology
Auditory localization is that the acoustic field signal to collecting is analyzed and processed, and obtains the process of sound source dimensional orientation.First need to adopt microphone array to gather sound field, then the sound field information collecting is carried out to wave beam formation.
The sound source information that single microphone obtains is limited, is difficult to obtain good effect under the environment of actual complex, therefore adopts microphone array, microphone array to have wave beam flexibly and controls, the advantages such as extremely strong antijamming capability and high spatial resolution.The difference of arranging geometric configuration according to array element, can be divided into microphone array: linear microphone array, plane microphone array, spherical microphone array.Linear microphone array is simple in structure, processing is convenient, still, can only provide one dimension orientation angles information in Estimation of Spatial Spectrum.The angle that plane microphone array can provide covers, yet,
* MERGEFORMAT direction of principal axis there is no primitive, cause plane microphone array can only provide the estimation of the angle of pitch
angle cover, plane microphone array can not meet the comprehensive estimation of free space, cause plane microphone array not sample fully to sound field, and notice, spherical microphone array is compared with plane microphone array with traditional linear microphone array, spherical microphone array has the humorous orthogonality of good symmetry, rotatory and ball, meets the comprehensive estimation of free space.These characteristics make it fully obtain angle, sound bearing and angle of pitch information, can sample more fully to sound field, therefore aspect three-dimensional many auditory localizations, are having more advantage.
At present for the method that adopts wave beam to form to carry out the many auditory localizations of spherical microphone array mainly: fixed beam forms and statistics optimal beam forming.The former is that the signal that adopts fixing weights to collect spherical microphone array carries out wave beam formation, and the method adaptive ability is poor, can only carry out filtering de-noising to the signal on fixed beam, makes auditory localization have limitation, inaccuracy.With respect to the former, the latter carries out adaptive beam formation according to the direction of incoming wave signal, and this makes it have good adaptive ability, can carry out self-adaptation according to the difference of signal and regulate weights, and then obtain optimal beam.The method can strengthen the signal of specific direction, and specific direction signal is carried out to airspace filter, and then obtains the azimuth information of sound-source signal.It is to make array beams output noise variance minimum that MVDR wave beam forms, and undistorted output on the direction of observation of array, belongs to statistics optimal beam forming.Yet the sound localization method forming based on steerable beam need to carry out global search, operand is very big, is difficult to realize in reality; Secondly, existing MVDR wave beam forms, and mostly adopts complex value weight to carry out wave beam formation, and this has also increased the complexity of computing greatly; Finally, existing wave beam is formed on while carrying out global search, employing be the power spectrum of search wave beam output, before obtaining the azimuth information of sound source, need first to power spectrum, solve, increased the complexity of calculating.
Summary of the invention
The object of the invention is the deficiency existing for prior art, a kind of many sound localization methods that form based on the real-valued weight wave beam in the humorous territory of ball are proposed, the method overcomes the deficiency that classic method calculated amount is large, computation complexity is high, reduced significantly operand, can meet the comprehensive estimation of free space, sound field has been sampled more fully.
In order to achieve the above object, design of the present invention is: model unit amplitude plane wave incides the sound-field model of spherical microphone array; Then build the humorous territory of ball Noise source signal model; The Noise source signal that spherical microphone array is received carries out the real-valued wave beam in the humorous territory of ball and forms; MVDR wave beam while building spherical microphone array array gain maximum, obtains the real-valued weight of optimum now; Finally, calculate the peak point of the real-valued weight in the humorous territory of ball square, extract the dimensional orientation maximum estimated value point of sound source.
According to foregoing invention design, the technical solution used in the present invention is:
A kind of many sound localization methods that form based on the real-valued weight wave beam in the humorous territory of ball mainly comprise following step:
(1), set up spherical coordinate system, the position of spherical microphone array each array element on sphere is described, set up the sound-field model that unit amplitude plane wave incides spherical microphone array;
(2), build the humorous territory of ball Noise source signal model;
(3), Noise source signal that spherical microphone array is received carries out the real-valued wave beam in the humorous territory of ball and forms, and obtains the wave beam in the humorous territory of ball;
(4), build the MVDR wave beam of spherical microphone array array gain when maximum, utilize lagrange's method of multipliers, obtain the real-valued weight in the humorous territory of optimum ball, be designated as
;
(5), calculate the real-valued weight square in the humorous territory of ball
the peak point of * MERGEFORMAT, the position angle corresponding to maximal peak point of extracting the real-valued weight in the humorous territory of ball square, determines the dimensional orientation maximum estimated value point of sound source, is the orientation of optimum sound source.
A kind of many sound localization methods that form based on the real-valued weight wave beam in the humorous territory of ball of the present invention compared with prior art, there is following apparent advantage: the method utilizes the three dimensions characteristic of spherical microphone array to carry out sufficient comprehensive sampling to the position angle of acoustic field signal and the angle of pitch, spatial domain signal is carried out to ball Fourier transform to be transformed in the humorous territory of ball, utilize MVDR wave beam to form and obtain the optimum real-valued weight in the humorous territory of ball, adopt the humorous territory of ball optimum real-valued weight square to obtain the azimuth information of sound source, can be widely used in the fields such as auditory localization.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a kind of many sound localization methods that form based on the real-valued weight wave beam in the humorous territory of ball of the present invention;
Fig. 2 is the spherical coordinate system schematic diagram that spherical microphone array of the present invention gathers space sound field;
Fig. 3 is the schematic diagram that the real-valued weight wave beam in the humorous territory of ball of the present invention forms;
Fig. 4 is the space circle of equal altitudes of the localization method of the real-valued weight in the humorous territory of ball of the present invention square.
Embodiment
In order to understand better technical scheme of the present invention, be below described in further detail:
The flow process of this method is referring to Fig. 1, a kind of many sound localization methods that form based on the real-valued weight wave beam in the humorous territory of ball of the present invention, utilize the treatment characteristic of spherical microphone array to high-order sound field, in conjunction with real-valued weight MVDR wave beam, form principle, carry out the location of the many sound sources in space, concrete implementation step is as follows:
(1), set up spherical coordinate system, the position of spherical microphone array each array element on sphere is described, set up the sound-field model that unit amplitude plane wave incides spherical microphone array, specific as follows:
Set up spherical coordinate system, as shown in Figure 2, in figure,
point representative is distributed in radius and is
spherical microphone array on separate, isotropic array element, the number of array element is
; True origin
the centre of sphere for spherical microphone array, is positioned at sphere
the of point place
the angle of pitch of individual array element and position angle are
,
, supposing has
individual far field sound-source signal, the
the incident angle of individual far field sound-source signal is
,
, the angle of pitch of sound source
for sound-source signal incident direction and
the angle of axle,
, position angle
for from
axle arrive in the counterclockwise direction sound-source signal incident direction with
the angle of projection in plane,
, at sphere observation point
place, the
the sound-field model of the plane wave of the unit amplitude that individual microphone receives is:
Wherein,
the modal intensity of the * MERGEFORMAT ball array that is different structure, its expression formula is:
Wherein,
* MERGEFORMAT,
* MERGEFORMAT be respectively
* MERGEFORMAT rank spheric Bessel function and
rank ball Hankel function,
with
be respectively
rank spheric Bessel function and
the derivative of rank ball Hankel function, in formula (2),
for wave number,
,
for wavelength; Subscript in formula (1) "
" expression conjugation,
* MERGEFORMAT,
* MERGEFORMAT be exponent number,
,
* MERGEFORMAT;
the humorous territory of ball exponent number,
* MERGEFORMAT be spheric harmonic function, it is defined as follows:
\* MERGEFORMAT (3)
In formula (4),
for Legendre polynomial,
expression is to unknown number
's
order derivative, its expression formula is:
(2), build the humorous territory of ball Noise source signal model, it is specific as follows:
In hypothesis space, have
individual amplitude is respectively
arrowband, far field sound-source signal respectively from direction
incide spherical microphone array, the humorous territory of the ball Noise source signal that spherical microphone array receives
model be:
Wherein,
for array element receives data;
for sound-source signal;
for average is 0, variance is
additive noise, and and sound-source signal
separate;
for guiding matrix,
in element
for guiding vector, its expression formula is:
(10)
The signals and associated noises and the noise that adopt ball Fourier pair spherical microphone array to receive convert, and its expression formula is:
Wherein, in formula (11)
for the humorous territory of ball signal, in formula (12)
for the humorous territory of ball noise,
Formula (7), formula (11), formula (12) are updated to respectively in formula (6), obtain the humorous territory of ball Noise source signal model, its expression formula is:
Wherein, subscript "
" expression conjugate transpose, the
the humorous territory of the ball guiding vector of individual sound-source signal is:
(3), Noise source signal that spherical microphone array is received carries out the real-valued wave beam in the humorous territory of ball and forms, and obtains the real-valued wave beam in the humorous territory of ball, specific as follows:
As shown in Figure 3, for the real-valued wave beam in the humorous territory of ball forms schematic diagram,
the humorous territory of the ball Noise source signal receiving for spherical microphone array,
for the real-valued weight in the humorous territory of ball, in Fig. 3 "
" represent carrying out summation operation after spherical microphone array reception signal weighting,
for wave beam output,
* MERGEFORMAT,
* MERGEFORMAT be exponent number,
,
* MERGEFORMAT;
be the humorous territory of ball exponent number, the sound-source signal that spherical microphone array is received is weighted summation, obtains the wave beam in the humorous territory of ball, and its expression formula is:
\* MERGEFORMAT (16)
Formula (16) is adopted to vector expression, and its expression formula is:
\* MERGEFORMAT (17)
(4), build the MVDR wave beam of spherical microphone array array gain when maximum, try to achieve the real-valued weight in the humorous territory of ball, concrete steps are as follows:
If the output signal power of the real-valued wave beam in the humorous territory of ball is
, its expression formula is:
Wherein,
for the covariance of beamformer output signal,
the covariance matrix of the signal receiving for spherical microphone array,
for the covariance matrix of sound-source signal,
* MERGEFORMAT be the covariance matrix of array received noise, the covariance matrix expression formula of above-mentioned sound-source signal is:
In formula (19),
* MERGEFORMAT be sound-source signal power, the covariance matrix expression formula of above-mentioned array received noise is:
In formula (20),
* MERGEFORMAT be array received noise power,
* MERGEFORMAT be normalization noise covariance matrix,
If the power that the real-valued wave beam output signal-to-noise ratio in the humorous territory of ball is beamformer output signal and the ratio of noise, be designated as
, its expression formula is as follows:
Wherein,
* MERGEFORMAT be the power that MVDR wave beam forms beamformer output signal,
* MERGEFORMAT be the power that MVDR wave beam forms wave beam output noise.,
If the real-valued wave beam input signal-to-noise ratio in the humorous territory of ball is the power of wave beam input signal and the ratio of noise, be designated as
, its expression formula is as follows:
If spherical microphone array array gain is the ratio of the real-valued wave beam output signal-to-noise ratio in the humorous territory of ball and the real-valued wave beam input signal-to-noise ratio in the humorous territory of ball, be designated as
, its expression formula is:
Spherical microphone array array gain in calculating formula (23), makes it reach maximum, and wave beam output noise variance is minimum, and the undistorted output of observed ray signal, the weight design that MVDR wave beam forms, and its expression formula is:
Wherein,
for MVDR wave beam forms weight, subscript "
" representing transposition, the weight design that in employing formula (24), MVDR wave beam forms builds Lagrangian function, and its expression formula is:
Wherein,
for Lagrangian function,
for Lagrangian, the MVDR wave beam in formula (25) is formed to weight
* MERGEFORMAT differentiate, making expression formula after differentiate is zero, obtains
By formula (27), try to achieve the optimum real-valued weight expression formula in the humorous territory of ball, its expression formula is:
(28)
By formula (28) substitution
in * MERGEFORMAT, try to achieve Lagrangian, its expression formula is:
Formula (29) substitution formula (28) is tried to achieve to the real-valued weight in the humorous territory of ball, be designated as
, its expression formula is:
(5), the real-valued weight in the humorous territory of formula (30) ball step (4) Suo Shu is made to square operation, the real-valued weight square in the calculating humorous territory of ball
the peak point of * MERGEFORMAT, extract the real-valued weight square in the humorous territory of ball
the corresponding position angle of maximal peak point of * MERGEFORMAT
* MERGEFORMAT, determine the dimensional orientation maximum estimated value point of sound source, it is specific as follows:
The real-valued Weighting type in the humorous territory of ball (30) step (4) Suo Shu is made to square operation, and its calculation expression is:
In formula (31), change the incident direction of plane wave
, by the incident direction of different plane waves, in whole three dimensions interscan, obtain the mapping relations of the real-valued weight in the humorous territory of ball square to dimensional orientation, wherein make the optimum real-valued weight square in the humorous territory of ball obtain the estimation orientation that peaked point is sound source.
In above-mentioned formula (31), the humorous territory of ball real-valued weight square is the angle of pitch and the position angle in an auditory localization space
function, as shown in Figure 4, in figure, horizontal ordinate represents position angle
,
, ordinate represents the angle of pitch
,
, by the incident direction of different plane waves, whole space scanning, the energy centralization of sound source, at the place, orientation of sound source, can be good at orienting the azimuth information of sound source as can be seen from Figure 4.In Fig. 4, "
" sound bearing of representative supposition, "
" sound bearing that estimates by real-valued MVDR algorithm of representative.From Fig. 4, it can also be seen that, estimated value point is the true bearing that approaches sound source, realizes sound source effective location.
Claims (4)
1. the many sound localization methods that form based on the real-valued weight wave beam in the humorous territory of ball, is characterized in that, the method comprises the following steps:
(1), set up spherical coordinate system, the position of spherical microphone array each array element on sphere is described, set up the sound-field model that unit amplitude plane wave incides spherical microphone array;
(2), build the humorous territory of ball Noise source signal model;
(3), Noise source signal that spherical microphone array is received carries out the real-valued wave beam in the humorous territory of ball and forms, and obtains the wave beam in the humorous territory of ball;
(4), build the MVDR wave beam of spherical microphone array array gain when maximum, utilize lagrange's method of multipliers, obtain the real-valued weight in the humorous territory of optimum ball, be designated as
;
(5), calculate the real-valued weight square in the humorous territory of ball
peak point, the position angle corresponding to maximal peak point of extracting the real-valued weight in the humorous territory of ball square, determines the dimensional orientation maximum estimated value point of sound source, is the orientation of optimum sound source.
2. a kind of many sound localization methods that form based on the real-valued weight wave beam in the humorous territory of ball according to claim 1, it is characterized in that, the Noise source signal that spherical microphone array is received described in above-mentioned steps (3) carries out the real-valued wave beam in the humorous territory of ball and forms, obtain the wave beam in the humorous territory of ball, specific as follows:
If the real-valued wave beam in the humorous territory of ball forms,
the humorous territory of the ball Noise source signal receiving for spherical microphone array,
for the real-valued weight in the humorous territory of ball, in Fig. 3 "
" represent carrying out summation operation after spherical microphone array reception signal weighting,
for wave beam output,,
* MERGEFORMAT be exponent number,
,
* MERGEFORMAT;
be the humorous territory of ball exponent number, the sound-source signal that spherical microphone array is received is weighted summation, obtains the wave beam in the humorous territory of ball, and its expression formula is:
\* MERGEFORMAT (16)
Formula (16) is adopted to vector expression, and its expression formula is:
3. a kind of many sound localization methods that form based on the real-valued weight wave beam in the humorous territory of ball according to claim 2, it is characterized in that, MVDR wave beam when the structure spherical microphone array array gain described in above-mentioned steps (4) is maximum, tries to achieve the real-valued weight in the humorous territory of ball, and concrete steps are as follows:
If the output signal power of the real-valued wave beam in the humorous territory of ball is
, its expression formula is:
Wherein,
for the covariance of beamformer output signal,
the covariance matrix of the signal receiving for spherical microphone array,
for the covariance matrix of sound-source signal,
* MERGEFORMAT be the covariance matrix of array received noise, the covariance matrix expression formula of above-mentioned sound-source signal is:
(19)
In formula (19),
* MERGEFORMAT be sound-source signal power, the covariance matrix expression formula of above-mentioned array received noise is:
In formula (20),
* MERGEFORMAT be array received noise power,
* MERGEFORMAT be normalization noise covariance matrix,
If the power that the real-valued wave beam output signal-to-noise ratio in the humorous territory of ball is beamformer output signal and the ratio of noise, be designated as
, its expression formula is as follows:
Wherein,
* MERGEFORMAT be the power that MVDR wave beam forms beamformer output signal,
* MERGEFORMAT be the power that MVDR wave beam forms wave beam output noise,
If the real-valued wave beam input signal-to-noise ratio in the humorous territory of ball is the power of wave beam input signal and the ratio of noise, be designated as
, its expression formula is as follows:
If spherical microphone array array gain is the ratio of the real-valued wave beam output signal-to-noise ratio in the humorous territory of ball and the real-valued wave beam input signal-to-noise ratio in the humorous territory of ball, be designated as
, its expression formula is:
Spherical microphone array array gain in calculating formula (23), makes it reach maximum, i.e. wave beam output noise variance minimum and the undistorted output of observed ray signal, and the weight design that MVDR wave beam forms, its expression formula is:
Wherein,
for MVDR wave beam forms weight, subscript "
" representing transposition, the weight design that in employing formula (24), MVDR wave beam forms builds Lagrangian function, and its expression formula is:
Wherein,
for Lagrangian function,
for Lagrangian, the MVDR wave beam in formula (25) is formed to weight
* MERGEFORMAT differentiate, making expression formula after differentiate is zero, obtains
By formula (27), try to achieve the optimum real-valued weight expression formula in the humorous territory of ball, its expression formula is:
By formula (28) substitution
in * MERGEFORMAT, try to achieve Lagrangian, its expression formula is:
(29)
Formula (29) substitution formula (28) is tried to achieve to the real-valued weight in the humorous territory of ball, be designated as
, its expression formula is:
4. a kind of many sound localization methods that form based on the real-valued weight wave beam in the humorous territory of ball according to claim 3, is characterized in that the real-valued square operation that acts temporarily as in the humorous territory of (30) ball described in above-mentioned steps (5) calculates the real-valued weight square in the humorous territory of ball
the peak point of * MERGEFORMAT, extract the real-valued weight square in the humorous territory of ball
the corresponding position angle of maximal peak point of * MERGEFORMAT
* MERGEFORMAT, determine the dimensional orientation maximum estimated value point of sound source, it is specific as follows:
The real-valued Weighting type in the humorous territory of ball (30) step (4) Suo Shu is made to square operation, and its calculation expression is:
In formula (31), change the incident direction of plane wave
, by the incident direction of different plane waves, in whole three dimensions interscan, obtain the mapping relations of the real-valued weight in the humorous territory of ball square to dimensional orientation, wherein make the optimum real-valued weight square in the humorous territory of ball obtain the estimation orientation that peaked point is sound source.
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