CN111796793A - Speaker system identification method and device, storage medium and communication terminal - Google Patents
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Abstract
The invention provides a speaker system identification method and device, a storage medium and a communication terminal. The method comprises the following steps: providing the amplified excitation signal to a loudspeaker system to be tested; actually measuring voltage signals at two ends of the loudspeaker system and current signals flowing through the loudspeaker system; inputting the voltage signal and the current signal to a first speaker model and a second speaker model; predicting a state of the speaker system based on the first speaker model; obtaining linear parameters and non-linear parameters of the loudspeaker system based on the second loudspeaker model; determining whether to feed the linear parameters and the nonlinear parameters back to the first speaker model to update the first speaker model according to an error condition; predicting a state of the speaker system based on the first speaker model. The invention adopts a double-model structure, and can avoid the problems of excitation control failure or faults and the like caused by unreasonable parameter estimation.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of electroacoustic transduction, in particular to a loudspeaker system identification method and device, a storage medium and a communication terminal.
[ background of the invention ]
The loudspeaker is used as an electroacoustic device in the field of electronic equipment, and along with the development of the electronic equipment industry, the loudspeaker is increasingly widely applied and the product performance is continuously improved. Loudspeaker parameter measurements are the basis for identifying the electro-acoustic transduction behavior of a loudspeaker system and also have important implications for loudspeaker design, manufacture and quality control.
The existing speaker system identification method mainly includes: the loudspeaker system model has no function of measuring the nonlinear parameters of the loudspeaker, but in practical application, the loudspeaker system mostly works under a large signal condition, and the linear loudspeaker system model cannot correctly reflect the performance of the loudspeaker during working. Secondly, the estimation of the nonlinear parameters is not accurate and reasonable enough.
Therefore, there is a need to provide a new speaker system identification method to solve the above-mentioned technical problems in the prior art.
[ summary of the invention ]
The invention aims to provide a loudspeaker system identification method and device with reasonable parameter estimation and high accuracy, and also provides a storage medium and a communication terminal capable of realizing the loudspeaker system identification method.
The technical scheme of the invention is as follows:
a speaker system identification method, comprising:
providing the amplified excitation signal to a loudspeaker system to be tested;
actually measuring voltage signals at two ends of the loudspeaker system and current signals flowing through the loudspeaker system;
inputting the voltage signal and the current signal to a first speaker model and a second speaker model;
obtaining linear parameters and non-linear parameters of the loudspeaker system based on the second loudspeaker model;
predicting a state of the speaker system based on the second speaker model;
calculating a predicted current signal according to the actually measured voltage signal and the current signal, and calculating an error condition between the actually measured current signal and the predicted current signal;
determining whether to feed back the linear parameters and the non-linear parameters to the first speaker model to update the first speaker model according to the error condition;
predicting a state of the speaker system based on the first speaker model.
A speaker system identification device comprising:
the power amplification part is used for providing the amplified excitation signal to a loudspeaker system to be tested;
the acquisition part is used for actually measuring voltage signals at two ends of the loudspeaker system and current signals flowing through the loudspeaker system and inputting the voltage signals and the current signals to the first loudspeaker model and the second loudspeaker model;
an error monitoring unit for calculating a predicted current signal from the measured voltage signal and the measured current signal, and calculating an error between the measured current signal and the predicted current signal; and
a second speaker model for obtaining linear and nonlinear parameters of the speaker system and predicting a state of the speaker system;
an update control section for determining whether to feed back the linear parameter and the nonlinear parameter to the first speaker model to update the first speaker model according to the error condition;
a first speaker model for predicting a state of the speaker system.
A storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to execute the speaker system recognition method.
A communication terminal comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the speaker system identification method.
The invention has the beneficial effects that: due to the adoption of the technical scheme, the loudspeaker system identification method and the device, the storage medium and the communication terminal provided by the invention have the function of measuring the linear parameters and the nonlinear parameters of the loudspeaker, and can correctly reflect the performance of the loudspeaker in working. By adopting the dual-model structure of the first loudspeaker model and the second loudspeaker model, the relative independence of the loudspeaker models influencing excitation control in the parameter estimation and state prediction processes can be ensured, and further the problems of excitation control failure or faults and the like caused by unreasonable parameter estimation are avoided. Whether the loudspeaker model is updated or not is determined according to the error condition, and the influence of the test error on the loudspeaker model is favorably reduced.
[ description of the drawings ]
FIG. 1 is a flow chart of a speaker system identification method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a speaker system identification method according to an embodiment of the present invention;
FIG. 3 is a block diagram of a speaker system identification device according to an embodiment of the present invention;
fig. 4 is a block diagram of a communication terminal according to an embodiment of the present invention.
Fig. 5A, 5B, 5C, 5D, and 5E are updated values and optimal values of the linear parameter, the nonlinear parameter, and a part of the intermediate variables obtained by using the speaker system recognition method according to the present invention, for example, with respect to a music signal.
Fig. 6A, 6B, and 6C are graphs of nonlinear parameters estimated by using the speaker system identification method of the present invention, for example, using music signals, which are Bl-displacement curves, Kms-displacement curves, and Rms-velocity curves, respectively.
[ detailed description ] embodiments
The invention is further described with reference to the following figures and embodiments.
In one embodiment, referring to fig. 1, the method may include:
and step S2, providing the amplified excitation signal to the loudspeaker system to be tested. The excitation signal may be amplified by a power amplifier and then input to a speaker system under test.
And step S4, measuring voltage signals at two ends of the loudspeaker system and current signals flowing through the loudspeaker system. The voltage signal is the actual measurement voltage in both ends of speaker system under the excitation signal effect, can adopt voltage acquisition part to carry out the actual measurement and gather, voltage detection part can be voltage sensor, current signal is the actual measurement electric current of speaker system under the excitation signal effect, can adopt current acquisition part to carry out the actual measurement and gather, current detection part can be current sensor.
Step S6, the voltage signal and the current signal are input to a first speaker model and a second speaker model. The first loudspeaker model and the second loudspeaker model are loudspeaker models capable of describing the loudspeaker system under small signal conditions and large signal conditions, and both linear parameters and nonlinear parameters capable of characterizing transfer characteristics between the loudspeaker system input and output can be modeled simultaneously.
Step S8, linear parameters and non-linear parameters of the loudspeaker system are obtained based on the second loudspeaker model.
Step S10, predicting a state of the speaker system based on the second speaker model. The state of the speaker system may include a diaphragm displacement of the speaker system, a diaphragm velocity of the speaker system, a voice coil current of the speaker system, other speaker system state parameters, and the like.
Step S12, calculating a predicted current signal according to the measured voltage signal and the measured current signal, and calculating an error between the measured current signal and the predicted current signal.
Step S14, determining whether to feed back the linear parameters and the non-linear parameters to the first speaker model to update the first speaker model according to the error condition.
Step S16, predicting a state of the speaker system based on the first speaker model. And if the loudspeaker state predicted based on the linear parameters and the nonlinear parameters updated by the second loudspeaker model is in a problem, for example, the obtained current error is not less than the preset threshold value, the linear parameters and the nonlinear parameters obtained by the second loudspeaker model are not updated to the first loudspeaker model.
In one embodiment, referring to fig. 2, the method may further include the following step before step S2: step S1, receiving an input audio signal and generating said excitation signal controlled by said first loudspeaker model. The audio signal may be a music signal, a speech signal, other audio signals, etc. The input audio signal may be received by an excitation control section, which may be a distortion compensator, a speaker protector, a linear response equalizer, or the like, that may control the excitation signal to obtain a desired speaker response without changing the speaker configuration, and generate the excitation signal. If the excitation control unit is a loudspeaker protector such as a displacement protector or a temperature protector, the linear parameters and the nonlinear parameters are updated relatively frequently, and if the excitation control unit is a distortion compensator, it is pre-calculated whether the compensation voltage is too large according to the newly updated linear parameters and nonlinear parameters.
In one embodiment, the linearity parameter may include a voice coil inductance L of the speaker systemeVoice coil DC resistance ReForce factor linear term bl0Linear term of stiffness coefficient k0Damping coefficient linear term r0And equivalent vibrating mass mt(ii) a The non-linearity parameters may comprise a total force factor bl (x), a total stiffness coefficient K of the loudspeaker systemms(x) And total damping coefficient Rms(v) And is characterized by the following polynomial:
Bl(xp(t))＝bl0+bl1(xp(t))；
Kms(xp(t))＝k0+k1(xp(t))；
Rms(v(t))＝r0+r1(v(t))；
wherein x isp(t) represents the loudspeakerA diaphragm displacement of the loudspeaker system, v (t) representing a diaphragm velocity of the loudspeaker system,
n represents the order of each polynomial, bl1、k1、r1The coefficients of the terms in the polynomials are respectively, i is a natural number and takes the values of 1, 2, … and n.
In one embodiment, the voltage models of the first and second speaker models may be:
the mechanical models of the first and second speaker models may be:
wherein u iseRepresenting a voltage signal, R, across the loudspeaker systemeRepresenting the voice coil DC resistance, L, of the loudspeaker systemeRepresenting the voice coil inductance of the loudspeaker system, x representing the diaphragm displacement of the loudspeaker system, mtRepresenting equivalent vibrating mass, Rms(v) Expressing the total damping coefficient, Kms(x) The overall stiffness coefficient is indicated.
In one embodiment, the predicted current signal may be expressed as:
ip(t)＝1/Re(um(t)-Bl(xp(t))v(t)-Ledi(t))。
the current error between the measured current signal and the predicted current signal may be expressed as:
e(t)＝im(t)-ip(t)。
wherein ip(t) represents the predicted current signal, im(t) is represented byCurrent signal, R, at both ends of the loudspeaker systemeRepresenting the direct current resistance u of the voice coil of the loudspeaker systemm(t) represents the measured voltage signal, xp(t) represents a diaphragm displacement of the loudspeaker system, v (t) represents a diaphragm velocity of the loudspeaker system, bl (x) represents a total force factor of the loudspeaker system.
In one embodiment, the step of determining whether to feed back the linearity parameters and the non-linearity parameters to the first speaker model to update the first speaker model according to the error condition may comprise: updating the linear parameters and the non-linear parameters to the first speaker model if the current error is less than a preset threshold. And under the condition that the current error is not smaller than the preset threshold value, not updating the linear parameters and the nonlinear parameters to the first loudspeaker model. The preset threshold is usually the minimum allowable error value, for example, 5%, and further, when the current error is greater than a specified threshold, the linear parameter and the non-linear parameter are initially reset, and the specified threshold is usually the maximum allowable error value, for example, 10%.
In one embodiment, the state of the speaker system may include: diaphragm displacement x of loudspeaker systemp(n), diaphragm velocity v (n), voice coil driving force fp(n) of (a). The state of the loudspeaker system may be predicted by including the steps of:
the required intermediate variables are calculated from the linearity parameters of the loudspeaker system and, in particular,
di(n)＝0.8038fs(im(n)-im(n-2))-0.5358di(n-1)-0.0718di(n-2；
wherein, the damping coefficient linear term r0Linear term of stiffness coefficient k0And equivalent vibrating mass mtAre all the linearity parameters of the loudspeaker system, fsRepresenting the sampling rate, ζ, ω, of the loudspeaker systemz、a1、a2、σx、σvRepresenting an intermediate variable.
Further, an intermediate state quantity is obtained from the above intermediate variable, and, specifically,
xp(n)＝σxfp(n-1)-a1xp(n-1)-a2xp(n-2)；
fp(n)＝Bl(xp(n))im(n)-k1(xp(n))xp(n)-r1(v(n))v(n)；
v(n)＝σv(fp(n)-fp(n-2))-a1v(n-1)-a2v(n-2)。
in one embodiment, the linear parameter and the non-linear parameter may be obtained by any one of the following methods: firstly, acquiring the nonlinear parameters in an off-line state, and acquiring the linear parameters in an on-line state; secondly, acquiring one part of the nonlinear parameters in an off-line state, and acquiring the other parts of the linear parameters and the nonlinear parameters in an on-line state. The identification of the loudspeaker system in the off-line state can realize the acquisition of ideal nonlinear parameters, and the identification of the additional loudspeaker system in the on-line state can carry out self-adaptive correction according to the error between the parameters acquired in the off-line state and the actual loudspeaker parameters, thereby compensating the loudspeaker parameter change caused by heating and aging.
Wherein, the linear parameters and the nonlinear parameters are solved by a least mean square error method, and the specific vector is represented as: p ═ Plin，Pnonlin]Wherein P islinIs a vector representation, P, of said linear parametersnonlinIs a vector representation of the non-linear parameter;
because the loudspeaker model is an IIR system, the estimation of the linear parameters is solved under the condition of meeting stability constraint, and further the phenomenon of model divergence can be prevented. The vector of linear parameters is represented as:
Plin＝[Re，Le，bi0，mt，a1，a2]T；
FIG. 5A, FIG. 5B, FIG. 5C, FIG. 5D and FIG. 5E show the updated values and the optimal values of the linear parameter and the nonlinear parameter, respectively, the DC resistance R of the voice coil, using the speaker system identification method of the present invention, for music signals as an exampleeUpdate value change and optimum value change of relative time, and total stiffness coefficient Kms(x) Update value change and optimum value change with respect to time, intermediate variable a1，a2Change of update value and optimum value of relative time, and total damping coefficient Rms(v) The update value change with respect to time and the optimum value change.
The vector of the non-linear parameters is represented as:
Pnonlin＝[b1，b2，b3，b4，k1，k2，k3，k4，r1，r2]T；
wherein, muT(n) denotes the adaptation step size, e (n) denotes the current error,
is used for expressing the derivative of the current error to the linear parameter,
The adaptive step size can be adjusted according to the error between the measured current and the predicted current signal, the error between the measured voltage and the predicted voltage signal and the error between the measured diaphragm speed and the predicted diaphragm speed of the loudspeaker system under the boundary constraint of a given fixed step size. Referring to fig. 6A, fig. 6B and fig. 6C, the non-linear parameter curves estimated by using the speaker system identification method of the present invention, including the curve of the total force factor bl (x) corresponding to the diaphragm displacement of the speaker system and the total stiffness coefficient K, are respectively shown by using music signals as an examplems(x) Curve corresponding to loudspeaker diaphragm displacement and total damping coefficient Rms(v) Corresponding to the curve of the diaphragm velocity of the loudspeaker system.
The present invention also provides a speaker system identification apparatus, as shown in fig. 3, in an embodiment, the apparatus may include: the device comprises a power amplification part, a collection part, a first loudspeaker model, a second loudspeaker model, an error monitoring part and an updating control part. The power amplification part is used for providing the amplified excitation signal to a loudspeaker system to be tested. The acquisition part is used for actually measuring voltage signals at two ends of the loudspeaker system and current signals flowing through the loudspeaker system and inputting the voltage signals and the current signals to the first loudspeaker model and the second loudspeaker model. The first speaker model is used to predict a state of the speaker system. The second speaker model is used for acquiring linear parameters and nonlinear parameters of the speaker system and predicting a state of the speaker system, and specifically, may include a linear parameter estimation section for acquiring linear parameters and a nonlinear parameter estimation section for acquiring nonlinear parameters. The error monitoring unit is configured to calculate a predicted current signal from the measured voltage signal and the measured current signal, and calculate an error between the measured current signal and the predicted current signal. The update control part is used for determining whether to feed back the linear parameters and the nonlinear parameters to the first loudspeaker model according to the error condition so as to update the first loudspeaker model. The error monitoring unit and the update control unit are connected to the acquisition unit, the first speaker model, and the second speaker model, respectively.
Referring to fig. 3, in one embodiment, the apparatus may further include an excitation control part for receiving an input audio signal and generating the excitation signal controlled by the first speaker model.
The present invention further provides a storage medium, in one embodiment, the storage medium stores a computer program, and when the computer program is executed by a processor, the processor is enabled to execute the speaker system identification method according to any one of the above embodiments.
The present invention further provides a communication terminal, referring to fig. 4, in an embodiment, the communication terminal includes a memory and a processor, the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the speaker system identification method according to any of the above embodiments.
While the foregoing is directed to embodiments of the present invention, it will be understood by those skilled in the art that various changes may be made without departing from the spirit and scope of the invention.
Claims (11)
1. A speaker system identification method, the method comprising:
providing the amplified excitation signal to a loudspeaker system to be tested;
actually measuring voltage signals at two ends of the loudspeaker system and current signals flowing through the loudspeaker system;
inputting the voltage signal and the current signal to a first speaker model and a second speaker model;
obtaining linear parameters and non-linear parameters of the loudspeaker system based on the second loudspeaker model;
predicting a state of the speaker system based on the second speaker model;
calculating a predicted current signal according to the actually measured voltage signal and the current signal, and calculating an error condition between the actually measured current signal and the predicted current signal;
determining whether to feed back the linear parameters and the non-linear parameters to the first speaker model to update the first speaker model according to the error condition;
predicting a state of the speaker system based on the first speaker model.
2. The speaker system identification method of claim 1, wherein the method further comprises: receiving an input audio signal and generating the excitation signal controlled by the first loudspeaker model.
3. The speaker system recognition method according to claim 1,
the linearity parameter comprises a voice coil inductance L of the loudspeaker systemeVoice coil DC resistance ReForce factor linear term bl0Linear term of stiffness coefficient k0Damping coefficient linear term r0And equivalent vibrating mass mt；
The non-linear parameters comprise a total force factor Bl (x) and a total stiffness coefficient K of the loudspeaker systemms(x) And total damping coefficient Rms(v) And is characterized by the following polynomial:
Bl(xp(t))＝bl0+bl1(xp(t))；
Kms(xp(t))＝k0+k1(xp(t))；
Rms(v(t))＝r0+r1(v(t))；
wherein x isp(t) represents a diaphragm displacement of the loudspeaker system, v (t) represents a diaphragm velocity of the loudspeaker system,
n represents the order of each polynomial, bl1、k1、r1The coefficients of the terms in the polynomials are respectively, and l is a natural number and takes the values of 1, 2, … and n.
4. The speaker system recognition method according to claim 1,
the voltage models of the first speaker model and the second speaker model are:
the mechanical models of the first speaker model and the second speaker model are:
wherein u iseRepresenting a voltage signal, R, across the loudspeaker systemeRepresenting the voice coil DC resistance, L, of the loudspeaker systemeRepresenting the voice coil inductance of the loudspeaker system, x representing the diaphragm displacement of the loudspeaker system, mtRepresenting equivalent vibrating mass, Rms(v) Expressing the total damping coefficient, Kms(x) The overall stiffness coefficient is indicated.
5. The speaker system recognition method according to claim 4,
the predicted current signal is represented as:
ip(t)＝1/Re(um(t)-Bl(xp(t))v(t)-Ledi(t))；
the current error between the measured current signal and the predicted current signal is expressed as:
e(t)＝im(t)-ip(t)；
wherein ip(t) represents the predicted current signal, im(t) represents the measured Current Signal, ReRepresenting the direct current resistance u of the voice coil of the loudspeaker systemm(t) represents a voltage signal, x, across the loudspeaker systemp(t) represents a diaphragm displacement of the loudspeaker system, v (t) represents a diaphragm velocity of the loudspeaker system, bl (x) represents a total force factor of the loudspeaker system.
6. The speaker system identification method of claim 5, wherein the step of determining whether to feed back the linear parameter and the non-linear parameter to the first speaker model to update the first speaker model according to the error condition comprises:
updating the linear parameters and the non-linear parameters to the first speaker model when the current error is less than a preset threshold;
and under the condition that the current error is not smaller than the preset threshold value, not updating the linear parameters and the nonlinear parameters to the first loudspeaker model.
7. The speaker system identification method according to claim 1, wherein the linear parameters and the non-linear parameters are obtained in any one of the following manners:
firstly, acquiring the nonlinear parameters in an off-line state, and acquiring the linear parameters in an on-line state;
secondly, acquiring one part of the nonlinear parameters in an off-line state, and acquiring the other parts of the linear parameters and the nonlinear parameters in an on-line state.
8. A speaker system identification apparatus, the apparatus comprising:
the power amplification part is used for providing the amplified excitation signal to a loudspeaker system to be tested;
the acquisition part is used for actually measuring voltage signals at two ends of the loudspeaker system and current signals flowing through the loudspeaker system and inputting the voltage signals and the current signals to the first loudspeaker model and the second loudspeaker model;
an error monitoring unit for calculating a predicted current signal from the measured voltage signal and the measured current signal, and calculating an error between the measured current signal and the predicted current signal; and
a second speaker model for obtaining linear and nonlinear parameters of the speaker system and predicting a state of the speaker system;
an update control section for determining whether to feed back the linear parameter and the nonlinear parameter to the first speaker model to update the first speaker model according to the error condition;
a first speaker model for predicting a state of the speaker system.
9. The speaker system identification device of claim 8 wherein the device further comprises:
an excitation control section for receiving an input audio signal and generating the excitation signal controlled by the first speaker model.
10. A storage medium having stored thereon a computer program, which, when executed by a processor, causes the processor to execute a speaker system recognition method according to any one of claims 1 to 7.
11. A communication terminal, comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the speaker system recognition method according to any one of claims 1 to 7.
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| CN112804626A (en) * | 2020-12-30 | 2021-05-14 | 武汉市聚芯微电子有限责任公司 | Method and system for dynamically controlling amplitude of loudspeaker and mobile terminal |
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