CN112235052B - Far-field sound wave communication method and device based on microphone array - Google Patents

Far-field sound wave communication method and device based on microphone array Download PDF

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CN112235052B
CN112235052B CN201910583621.XA CN201910583621A CN112235052B CN 112235052 B CN112235052 B CN 112235052B CN 201910583621 A CN201910583621 A CN 201910583621A CN 112235052 B CN112235052 B CN 112235052B
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wave communication
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microphone array
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CN112235052A (en
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陈孝良
栾天祥
冯大航
常乐
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Beijing SoundAI Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B11/00—Transmission systems employing sonic, ultrasonic or infrasonic waves
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0216—Noise filtering characterised by the method used for estimating noise
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0216—Noise filtering characterised by the method used for estimating noise
    • G10L21/0232—Processing in the frequency domain
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0216—Noise filtering characterised by the method used for estimating noise
    • G10L2021/02161—Number of inputs available containing the signal or the noise to be suppressed
    • G10L2021/02166—Microphone arrays; Beamforming

Abstract

The disclosure provides a far-field sound wave communication method and a far-field sound wave communication device based on a microphone array, wherein the method comprises the following steps: step A: the sending end receives the audio signal, carries out audio coding on the audio signal, and sends the audio signal to the receiving end after carrying out spatial coding; and B: the receiving end decodes the received audio signal to obtain the weight vector of the instantaneous wave beam. The microphone array based far-field sound wave communication is realized, and the microphone array based far-field sound wave communication has the advantages of noise resistance, interference resistance, high safety and the like.

Description

Far-field sound wave communication method and device based on microphone array
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a far-field acoustic wave communication method and apparatus based on a microphone array.
Background
With the use of the acoustic wave communication becoming more and more extensive, the hardware support of the acoustic wave communication is very extensive, and has extremely high versatility. Because the transmission medium of the sound wave communication is air, the volume of the equipment, the distance of the communication and the ambient noise can be all influence factors in the use of the sound wave communication, and the application of the sound wave communication is also limited.
At present, sound wave communication is mostly applied to the use scene of ultra-close range audio signal transmission, only control information with low speed and tiny data volume can be transmitted, and the coding efficiency is low. In addition, due to lack of noise immunity, the method cannot be applied in an actual noise environment, and further cannot perform data transmission at a longer distance, so that the data transmission rate is seriously damaged, and the method is difficult to adapt to a real application scene. In addition, in the existing acoustic wave communication method, characters are usually simply encoded into numbers and then converted into single-frequency signals with corresponding frequencies, and when the signals are played, a receiving end converts the signals back to original numbers and characters according to frequency detection. The coding efficiency is low, so that the transmission rate is low, and meanwhile, the anti-noise capability and the far-field audio information transmission capability are lacked, so that the method is difficult to adapt to a real application scene.
Disclosure of Invention
Technical problem to be solved
The present disclosure provides a far field acoustic wave communication method and apparatus based on a microphone array to at least partially solve the above-mentioned technical problems.
(II) technical scheme
According to one aspect of the present disclosure, there is provided a far-field acoustic wave communication method based on a microphone array, including:
acquiring an audio signal by using a sending end, carrying out audio coding on the audio signal, and corresponding the audio signal with a digital signal to obtain the digital signal;
performing spread spectrum coding on a frequency domain on the digital signal to obtain a linear coding matrix;
and then carrying out spatial coding to obtain a spatial coding matrix.
In some embodiments of the present disclosure, the acquiring, by using the transmitting end, an audio signal, performing audio coding on the audio signal, and corresponding the audio signal to a digital signal to obtain the digital signal includes:
the audio signal is related to the digital signal and is set as a function
Figure BDA0002112701890000021
For reversible mapping of the digital signal coding s (t) and the audio signal coding x (t), i.e.
Figure BDA0002112701890000022
Where x is an audio signal and s is a digital signal.
In some embodiments of the present disclosure, performing spread spectrum coding on a digital signal in a frequency domain to obtain a linear coding matrix includes:
performing spread spectrum coding on the audio signal in a frequency domain to obtain a linear coding matrix as follows:
Fs(w，K)＝{fs，0(w，K)，…，fs，L-1(w，K)}
where L is the coding length, w is the frequency point of the sub-band, K {1, 2, … } is the sequence number of the current transmission data, and f is the band signal.
In some embodiments of the present disclosure, performing spread spectrum coding on an audio signal in a frequency domain, and obtaining a linear coding matrix further includes: and carrying out frequency domain amplification on the linear coding matrix, wherein the amplified audio frequency is as follows:
Figure BDA0002112701890000023
Figure BDA0002112701890000024
wherein the content of the first and second substances,
Figure BDA0002112701890000025
for the time domain representation of the audio encoded signal, w is a frequency point of a sub-band, K ═ 1, 2, … is a sequence number of the current transmission data, L is a timing mark, L is a coding length, H denotes a transposition of the matrix, and X is a value of the encoded signal at each time frequency point.
According to one aspect of the present disclosure, there is provided a far-field acoustic wave communication method based on a microphone array, including:
the receiving end decodes the received digital signal and establishes a frequency domain signal model;
a weight vector for the instantaneous beam is obtained.
In some embodiments of the present disclosure, the receiving end decodes the received digital signal, and establishing the frequency domain signal model includes:
the receiving end decodes the received audio signal, and the frequency domain signal model is expressed as
Figure BDA0002112701890000026
Wherein, wwRepresenting the receiver beamforming weight vector, nwRepresenting interference and additive noise introduced in the transmission.
In some embodiments of the present disclosure, the decoding, by the receiving end, the received digital signal, establishing a frequency domain signal model, and obtaining a weight vector of an instantaneous beam further includes:
solving an MMSE optimization problem to obtain an instantaneous beam weight vector;
Figure BDA0002112701890000031
P(K)＝μ-1P(K-1)-μ-1g(K)yH(K)P(K-1)
wherein, v (phi)w) Is a spatial constraint vector used to control the quality of beamforming.
In some embodiments of the present disclosure, an MMSE optimization problem is solved using iterative optimization, comprising:
defining second order statistical variables
Φ(K)＝μΦ(K-1)+y(K)yH(K)
Wherein μ represents a scalar (value range 0-1) for adjusting the optimized convergence, an
P(K)＝Φ-1(K)
Figure BDA0002112701890000032
Figure BDA0002112701890000033
P (k) is iteratively calculated as:
P(K)＝μ-1P(K-1)-μ-1g(K)yH(K)P(K-1)
meanwhile, solving an optimization problem to obtain an instantaneous beam weight vector as follows:
Figure BDA0002112701890000034
wherein P (K), Λ (K), g (K) are iterative optimization intermediate variables.
According to one aspect of the present disclosure, there is provided a far-field acoustic wave communication apparatus based on a microphone array, comprising:
and the transmitting end is used for receiving the audio signal and carrying out audio coding and spatial coding on the audio signal.
According to one aspect of the present disclosure, there is provided a far-field acoustic wave communication apparatus based on a microphone array, comprising:
the receiving end is used for decoding the received audio signal to obtain a weight vector of the instantaneous wave beam; the receiving end further includes: and the statistic optimization updating module is used for solving the MMSE optimization problem.
According to one aspect of the present disclosure, there is provided a far field acoustic wave communication device based on a microphone array, comprising:
the transmitting end is used for receiving the audio signal and carrying out audio coding and space coding on the audio signal;
the receiving end is used for decoding the audio signal sent by the sending end to obtain a weight vector of the instantaneous wave beam; the receiving end further includes: and the statistic optimization updating module is used for solving the MMSE optimization problem.
(III) advantageous effects
According to the technical scheme, the far-field sound wave communication method and device based on the microphone array have at least one or part of the following advantages:
(1) the microphone array based far-field sound wave communication is realized, and the microphone array based far-field sound wave communication has the advantages of noise resistance, interference resistance, high safety and the like.
(2) The space coding is carried out in the method, and the beam forming capability of a microphone array signal processing algorithm is effectively utilized.
(3) The method has the advantages of small limitation and strong generalization capability, and is suitable for various scenes.
Drawings
Fig. 1 is a block diagram of a far-field acoustic wave communication method based on a microphone array according to an embodiment of the present disclosure.
Fig. 2 is a block diagram of a far-field acoustic wave communication method of the transmitting end of fig. 1.
Fig. 3 is a block diagram of a far-field acoustic communication method at the receiving end of fig. 1.
Fig. 4 is a schematic diagram of the far-field acoustic wave communication device at the receiving end in fig. 1.
Detailed Description
The disclosure provides a far-field sound wave communication method and a far-field sound wave communication device based on a microphone array, wherein the method comprises the following steps: step A: the sending end receives the audio signal, carries out audio coding on the audio signal, and sends the audio signal to the receiving end after carrying out spatial coding; and B, step B: the receiving end decodes the received audio signal to obtain the weight vector of the instantaneous wave beam. The microphone array based far-field sound wave communication is realized, and the microphone array based far-field sound wave communication has the advantages of noise resistance, interference resistance, high safety and the like.
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
Certain embodiments of the present disclosure will now be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments of the disclosure are shown. Indeed, various embodiments of the disclosure may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will satisfy applicable legal requirements.
In a first exemplary embodiment of the present disclosure, a far-field acoustic wave communication method based on a microphone array is provided. Fig. 1 is a block diagram of a far-field acoustic wave communication method based on a microphone array according to an embodiment of the present disclosure. Fig. 2 is a block diagram of a far-field acoustic wave communication method of the transmitting end of fig. 1. Fig. 3 is a block diagram of a far-field acoustic communication method at the receiving end of fig. 1. As shown in fig. 1 to 3, the far-field acoustic wave communication method based on the microphone array of the present disclosure includes: step A: the sending end receives the audio signal, carries out audio coding on the audio signal, and sends the audio signal to the receiving end after carrying out spatial coding; and B: the receiving end decodes the received audio signal to obtain the weight vector of the instantaneous wave beam.
The step a specifically includes:
substep A1: the audio signal is related to the digital signal and is set as a function
Figure BDA0002112701890000051
For reversible mapping of the digital signal coding s (t) and the audio signal coding x (t), i.e.
Figure BDA0002112701890000052
Where x is an audio signal and s is a digital signal.
Substep A2: performing spread spectrum coding on the audio signal in a frequency domain to obtain a linear coding matrix as follows:
Fs(w，K)＝{fs，0(w，K)，…，fs，L-1(w，K)}
where L is a code length, w is a frequency point of a sub-band, K ═ {1, 2, … } is a sequence number of current transmission data, and f is a band signal.
Optionally, the sub-step a2 further includes: and carrying out frequency domain amplification on the linear coding matrix, wherein the amplified audio frequency is as follows:
Figure BDA0002112701890000053
Figure BDA0002112701890000061
wherein the content of the first and second substances,
Figure BDA0002112701890000062
for the time domain representation of the audio encoded signal, w is a frequency point of a sub-band, K ═ 1, 2, … is a sequence number of the current transmission data, 1 is a timing mark, L is a coding length, H denotes a transposition of the matrix, and X is a value of the encoded signal at each time frequency point.
Substep A3: performing spatial coding by setting the coding matrix as H (phi)w). Joining spatial informationThe rear receiving side can effectively enhance signals and reduce noise by using a beam forming method.
The step B specifically includes:
substep B1: the receiving end decodes the received audio signal, and the frequency domain signal model is expressed as
Figure BDA0002112701890000063
Wherein wwRepresenting the receiver beamforming weight vector, nwRepresenting interference and additive noise introduced in the transmission; h (phi)w) Is a spatial coding matrix; x is the number ofLIs the value of the coded signal at each time frequency point.
Substep B2: a weight vector for the instantaneous beam is obtained.
In a first exemplary embodiment of the present disclosure, there is also provided a microphone array-based far-field acoustic wave communication apparatus, including: a transmitting end and a receiving end. The transmitting end is used for receiving the audio signal and carrying out audio coding and space coding on the audio signal. The receiving end is used for decoding the audio signal sent by the sending end to obtain the weight vector of the instantaneous wave beam.
Certainly, the hardware structure should further include functional modules such as a power module (not shown), which can be understood by those skilled in the art, and those skilled in the art may also add corresponding functional modules according to the functional requirements, which are not described herein.
Thus, the first embodiment of the present disclosure has been described.
In a second exemplary embodiment of the present disclosure, a far-field acoustic wave communication method based on a microphone array is provided. Compared with the microphone array-based far-field sound wave communication method of the first embodiment, the present embodiment of the far-field sound wave communication method based on a microphone array is different in that: and between the sub-step B1 and the sub-step B2, the method further comprises the following steps:
substep B3: solving an MMSE optimization problem to obtain an instantaneous beam weight vector;
Figure BDA0002112701890000064
wherein, v (phi)w) Is a spatial constraint vector for controlling the quality of beamforming; y is a reception signal of the reception side, X is a reception desired signal,
Figure BDA0002112701890000071
and optimizing the vector for the beam forming of each frequency point.
To solve the problem, LCMP/LCMV and simplified MVDR/MPDR methods can be used, and in order to meet the actual operation requirements, an iterative optimization method is used in this embodiment:
defining second order statistical variables
Φ(K)＝μΦ(K-1)+y(K)yH(K)
Wherein mu represents a scalar for adjusting optimization convergence, and 0 & ltmu & lt 1; y (K) is the signal vector of the receiving party at each frequency point, yH(K) Is the transpose of y (K).
The optimization of each statistic is updated as:
P(K)＝Φ-1(K)
Figure BDA0002112701890000072
Figure BDA0002112701890000073
p (k) is iteratively calculated as:
P(K)＝μ-1P(K-1)-μ-1g(K)yH(K)P(K-1)
meanwhile, solving an optimization problem to obtain an instantaneous beam weight vector as follows:
Figure BDA0002112701890000074
wherein P (K), Λ (K), g (K) are iterative optimization intermediate variables.
At this point, beam optimization by an iterative optimization method is completed.
In a second exemplary embodiment of the present disclosure, a microphone array based far field acoustic wave communication device is also provided. As shown in fig. 4, compared with the microphone array-based far-field acoustic wave communication apparatus of the first embodiment, the microphone array-based far-field acoustic wave communication apparatus of the present embodiment is different in that: the receiving end also comprises a statistic optimization updating module which is used for solving the MMSE optimization problem.
For the purpose of brief description, any technical features that can be applied to the same in the above embodiment 1 are described herein, and the same description need not be repeated.
Thus, the second embodiment of the present disclosure has been described.
So far, the embodiments of the present disclosure have been described in detail with reference to the accompanying drawings. It is to be noted that, in the attached drawings or in the description, the implementation modes not shown or described are all the modes known by the ordinary skilled person in the field of technology, and are not described in detail. Further, the above definitions of the various elements and methods are not limited to the various specific structures, shapes or arrangements of parts mentioned in the examples, which may be easily modified or substituted by those of ordinary skill in the art.
From the above description, those skilled in the art should clearly understand that the present disclosure is based on the far-field acoustic wave communication method and apparatus of the microphone array.
In summary, the present disclosure provides a far-field acoustic communication method and device based on a microphone array, which effectively utilize the beamforming capability of the signal processing algorithm of the microphone array, and have the advantages of noise resistance, interference resistance, high security, and the like. The method can be widely applied to the field of sound wave communication, and is particularly suitable for the field of far-field sound wave communication.
Furthermore, the word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements.
In addition, unless steps are specifically described or must occur in sequence, the order of the steps is not limited to that listed above and may be changed or rearranged as desired by the desired design. The embodiments described above may be mixed and matched with each other or with other embodiments based on design and reliability considerations, i.e., technical features in different embodiments may be freely combined to form further embodiments.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, this disclosure is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the present disclosure as described herein, and any descriptions above of specific languages are provided for disclosure of enablement and best mode of the present disclosure.
The disclosure may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. Various component embodiments of the disclosure may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in the relevant apparatus according to embodiments of the present disclosure. The present disclosure may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present disclosure may be stored on a computer-readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the disclosure, various features of the disclosure are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various disclosed aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that is, the claimed disclosure requires more features than are expressly recited in each claim. Rather, as the following claims reflect, disclosed aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this disclosure.
The above-mentioned embodiments are intended to illustrate the objects, aspects and advantages of the present disclosure in further detail, and it should be understood that the above-mentioned embodiments are only illustrative of the present disclosure and are not intended to limit the present disclosure, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.

Claims (8)

1. A far-field acoustic wave communication method based on a microphone array, comprising:
acquiring an audio signal by using a sending end, carrying out audio coding on the audio signal, and corresponding the audio signal with a digital signal to obtain the digital signal;
performing spread spectrum coding on a frequency domain on the digital signal to obtain a linear coding matrix; the method for performing spread spectrum coding on a digital signal in a frequency domain to obtain a linear coding matrix includes:
performing spread spectrum coding on the audio signal in a frequency domain to obtain a linear coding matrix as follows:
Fs(w，K)＝{fs，0(w，K)，…，fs，L-1(w，K)}
wherein, L is a coding length, w is a frequency point of a sub-band, K ═ {1, 2, … } is a sequence number of current transmission data, and f is a band signal;
then carrying out spatial coding to obtain a spatial coding matrix;
the performing spread spectrum coding on the audio signal in the frequency domain to obtain a linear coding matrix further includes: and carrying out frequency domain amplification on the linear coding matrix, wherein the amplified audio frequency is as follows:
Figure FDA0003620951320000011
Figure FDA0003620951320000012
wherein the content of the first and second substances,
Figure FDA0003620951320000013
for time domain representation of the audio coding signal, w is a frequency point of a sub-band, K ═ 1, 2, … is a sequence number of current transmission data, L is a time sequence mark, L is a coding length, H denotes a transposition of the linear coding matrix, and X is a value of the coding signal at each time frequency point.
2. The far-field acoustic wave communication method according to claim 1, wherein the acquiring the audio signal by the transmitting end, performing audio coding on the audio signal, and corresponding the audio signal to the digital signal to obtain the digital signal comprises:
the audio signal is related to the digital signal and is set as a function
Figure FDA0003620951320000014
For reversible mapping of the digital signal coding s (t) and the audio signal coding x (t), i.e.
Figure FDA0003620951320000015
Where x is an audio signal and s is a digital signal.
3. A far-field acoustic wave communication method based on a microphone array, comprising:
a receiving end decodes a received digital signal as claimed in any one of claims 1 to 2, and establishes a frequency domain signal model; the receiving end decodes the received digital signal, and the establishing of the frequency domain signal model comprises the following steps:
receiving end decoding a received audio signal as claimed in any one of claims 1 to 2, the frequency domain signal model being expressed as
Figure FDA0003620951320000021
Wherein wwRepresenting the receive-side beamforming weight vector, nwRepresenting interference and additive noise introduced in the transmission; h (phi)w) Is a spatial coding matrix; x is the number ofLThe numerical values of the coded signals at all time frequency points are obtained;
a weight vector for the instantaneous beam is obtained.
4. The far-field acoustic wave communication method according to claim 3, wherein the receiving end decoding the received digital signal and establishing a frequency domain signal model and deriving a weight vector of the instantaneous beam further comprises:
solving an MMSE optimization problem to obtain an instantaneous beam weight vector;
Figure FDA0003620951320000022
P(K)＝μ-1P(K-1)-μ-1g(K)yH(K)P(K-1)
wherein, v (phi)w) Is a spatial constraint vector for controlling the quality of beamforming; y is a reception signal of the reception side, X is a reception desired signal,
Figure FDA0003620951320000023
optimizing vectors for the wave beam forming of each frequency point; y isH(K) Transpose of y (K); p (K), g (K) iteratively optimize intermediate variables; mu generationThe table is used for adjusting the scalar quantity of optimized convergence, and the value range is 0-1.
5. The far-field acoustic communication method of claim 4 wherein solving an MMSE optimization problem using iterative optimization comprises:
defining second order statistical variables
Φ(K)＝μΦ(K-1)+y(K)yH(K)
P(K)＝Φ-1(K)
Figure FDA0003620951320000031
Figure FDA0003620951320000032
P (k) is iteratively calculated as:
P(K)＝μ-1P(K-1)-μ-1g(K)yH(K)P(K-1)
meanwhile, solving an optimization problem to obtain an instantaneous beam weight vector as follows:
Figure FDA0003620951320000033
wherein Λ (K) is an iterative optimization intermediate variable.
6. A microphone array based far field acoustic wave communication device, comprising:
transmitting end for performing a microphone array based far field acoustic wave communication method according to any of claims 1 to 2.
7. A microphone array based far field acoustic wave communication device, comprising:
receiving end for performing a microphone array based far field acoustic wave communication method according to any of claims 3 to 5.
8. A microphone array based far field acoustic wave communication device, comprising:
a transmitting end for performing the microphone array based far-field acoustic wave communication method of any one of claims 1 to 2;
receiving end for performing a microphone array based far field acoustic wave communication method according to any of claims 3 to 5.
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