CN105321524A - Digital feed-forward adaptive hybrid active noise control method and device - Google Patents
Digital feed-forward adaptive hybrid active noise control method and device Download PDFInfo
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- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
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- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
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- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
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Abstract
The invention is applicable to the field of noise elimination and provides a digital feed-forward adaptive hybrid active noise control method and device. The method comprises: setting a feed-forward control filter and a feedback control filter; the feed-forward control filter filtering an acquired reference signal to obtain a first control signal, and the feedback control filter filtering an acquired error signal to obtain a second control signal; the feedback control filter carrying out adaptive iteration according to the error signal acquired by an error sensor, and the feed-forward control filter carrying out adaptive iteration according to the reference signal and error signal. Through the adaptive adjustment of filter parameters and the feedback control scheme and feed-forward control scheme using a same algorithm module, system complexity is reduced.
Description
Technical field
The invention belongs to noise and eliminate field, particularly relate to a kind of digital front feedback adaptive mixing active noise control method and device.
Background technology
At present, Active noise control using produces suitable acoustical signal by rational control algolithm drived control source, for offsetting noise at error pick-up place, and then realizes the noise reduction of local space and even overall space.Get more and more people's extensive concerning because it can realize the control of low-frequency noise with lower cost.The common method of Active noise control using comprises feedforward control and FEEDBACK CONTROL, and feedforward control is applicable to the occasion that can obtain noise reference signal, and FEEDBACK CONTROL is then applicable to can only the occasion of use error sensor.For promoting the general effect of Active noise control using, the front feedback hybrid control system in conjunction with feedforward and FEEDBACK CONTROL is more and more subject to people's attention.The feature of document [S.Elliott, SignalProcessingforActiveControl, AcademicPress] labor two kinds of control methods also provides the implementation of Hybrid mode.Hybrid mode both can realize with mimic channel, also can be realized by digital signal processing chip via modulus digital-to-analog conversion.Comparatively speaking, digital scheme due to can FEEDBACK CONTROL wave filter before self-adaptative adjustment, and can select noise reduction frequency band easily, therefore possesses higher dirigibility.Before the numeral that document [S.Elliott, SignalProcessingforActiveControl, AcademicPress] provides, feedback control scheme depends on internal model control (InternalModelControl), and system complexity is higher.
Summary of the invention
The object of the embodiment of the present invention is to provide a kind of digital front feedback adaptive mixing active noise control method and device, be intended to adjust filter parameter by self-adaptation control method, feedback control scheme and the multiplexing same algoritic module of feedforward control scheme, can also reduce system complexity simultaneously.
The embodiment of the present invention is achieved in that a kind of digital front feedback adaptive mixing active noise control method, and described method comprises:
Setting feedforward control wave filter and FEEDBACK CONTROL wave filter;
Feedforward control wave filter carries out filtering to the reference signal got and obtains first via control signal, and FEEDBACK CONTROL wave filter carries out filtering to the error signal got and obtains the second tunnel control signal;
The error signal that FEEDBACK CONTROL wave filter collects according to error pick-up carries out adaptive iteration, and feedforward controller wave filter carries out adaptive iteration according to reference signal and error signal.
Further, described setting feedforward control wave filter and FEEDBACK CONTROL wave filter include: setting exponent number and setting adaptive iteration coefficient.
Further, described FEEDBACK CONTROL wave filter and feedforward control wave filter be multiplexing same algoritic module when carrying out adaptive iteration, adopts identical algorithm.
Further, described algorithm comprises: Time-Domain algorithm, frequency domain algorithm or subband algorithm.
Further, the Active noise control using scene that described method is suitable for comprises: earphone active noise control system, automobile-used active noise control system and interior space active noise control system.
Another object of the embodiment of the present invention is to provide a kind of digital front feedback adaptive mixing active noise controller, and described device comprises:
Setup unit, for setting feedforward control wave filter and FEEDBACK CONTROL wave filter;
Noise measarement unit, carry out filtering for feedforward control wave filter to the reference signal got and obtain first via control signal, FEEDBACK CONTROL wave filter carries out filtering to the error signal got and obtains the second tunnel control signal;
Adaptive unit, the error signal collected according to error pick-up for FEEDBACK CONTROL wave filter carries out adaptive iteration, and feedforward controller wave filter carries out adaptive iteration according to reference signal and error signal.
Further, described setting feedforward control wave filter and FEEDBACK CONTROL wave filter include: setting exponent number and setting adaptive iteration coefficient.
Further, described FEEDBACK CONTROL wave filter and feedforward control wave filter be multiplexing same algoritic module when carrying out adaptive iteration, adopts identical algorithm.
Further, described algorithm comprises: Time-Domain algorithm, frequency domain algorithm or subband algorithm.
Further, the Active noise control using scene that described device is suitable for comprises: earphone active noise control system, automobile-used active noise control system and interior space active noise control system.
The embodiment of the present invention, by the digital front feedback adaptive mixing active noise control method of one, adopts digital auto-adaptive control scheme, can realize the switching of control for feedforward, feedback and mixing application scenarios; Combined by front feedback adaptive system, can noise cancellation effect be promoted; Feedback control scheme extracting directly error signal carries out filtering, eliminates complicated reference signal building-up process, effectively simplifies system architecture; Feedback control scheme and feedforward control scheme are realized by same structure simultaneously, greatly reduce the complexity of whole system.
Accompanying drawing explanation
Fig. 1 is the realization flow figure of a kind of digital front feedback adaptive mixing active noise control method that first embodiment of the invention provides;
Fig. 2 is the iterative computation process flow diagram that first embodiment of the invention provides;
Fig. 3 is the iteration system process flow diagram that first embodiment of the invention provides;
Fig. 4 is the Noise measarement design sketch that first embodiment of the invention provides; And
Fig. 5 is the structural drawing of a kind of digital front feedback adaptive mixing active noise controller that second embodiment of the invention provides.
Embodiment
The present invention program is understood better in order to make those skilled in the art, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly described, obviously, described embodiment is only the embodiment of a part of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, should belong to the scope of protection of the invention.
Term " first ", " second ", " the 3rd " " 4th " etc. (if existence) in instructions of the present invention and claims and above-mentioned accompanying drawing are for distinguishing similar object, and need not be used for describing specific order or precedence.The embodiments described herein should be appreciated that the data used like this can be exchanged in the appropriate case, so that can be implemented with the order except the content except here diagram or description.In addition, term " comprises " and " having " and their any distortion, intention is to cover not exclusive comprising, such as, contain those steps or unit that the process of series of steps or unit, method, system, product or equipment is not necessarily limited to clearly list, but can comprise clearly do not list or for intrinsic other step of these processes, method, product or equipment or unit.
Below in conjunction with specific embodiment, specific implementation of the present invention is described in detail:
embodiment one:
Fig. 1 shows the realization flow of a kind of digital front feedback adaptive mixing active noise control method that first embodiment of the invention provides, and details are as follows:
In step S101, setting feedforward control wave filter and FEEDBACK CONTROL wave filter.
In specific implementation process, first need setting feedforward control wave filter and FEEDBACK CONTROL wave filter, include when setting feedforward control wave filter and FEEDBACK CONTROL wave filter, first need to set exponent number, need afterwards to set adaptive iteration coefficient.
In step s 102, feedforward control wave filter carries out filtering to the reference signal got and obtains first via control signal, and FEEDBACK CONTROL wave filter carries out filtering to the error signal got and obtains the second tunnel control signal.
In embodiments of the present invention, first feedforward control wave filter carries out filtering process to the reference signal got, first via control signal is acquired after carrying out filtering process, FEEDBACK CONTROL wave filter carries out filtering to the error signal acquired, the second tunnel control signal is acquired after carrying out filtering process, two path control signal obtains total control signal by Signal averaging, for encouraging control source to reach the object of Active control, realizes the object of the control of active noise.
In step s 103, the error signal that FEEDBACK CONTROL wave filter collects according to error pick-up carries out adaptive iteration, and feedforward controller wave filter carries out adaptive iteration according to reference signal and error signal.
In embodiments of the present invention, FEEDBACK CONTROL wave filter and feedforward control wave filter carry out adaptive iteration, the calculation process of concrete iteration is as shown in Figure 2: wherein x (n) represent feedforward active control required for reference sensor collection signal, P (z) represents the main channel transport function of reference sensor to error pick-up, S (z) represents that control source outputs to the secondary channel transport function of error pick-up
then represent the estimated result of secondary channel transport function,
can be obtained by the mode of modeling in advance.C1 (z) represents the transport function that feedforward control wave filter is corresponding, C2 (z) represents the transport function that FEEDBACK CONTROL wave filter is corresponding, y1 (n) and y2 (n) represents the output of feedforward control wave filter and FEEDBACK CONTROL wave filter respectively, the pumping signal y (n) in control source is obtained after both superposition, this signal obtains control signal ys (n) by secondary channel, r1 (n) and r2 (n) represents the filtered reference signal used required for feedforward control wave filter and FEEDBACK CONTROL filter parameter adaptive updates respectively, e (n) represents the error signal that error pick-up collects.The object of Active control allows this control signal and original noise d (n) act on exactly and obtains error signal e (n) little as far as possible afterwards.Normal clock domain FXLMS algorithm is adopted for " Adaptation ".
corresponding L rank time-domain FIR filter is designated as s (n), n=1,2,, the M1 rank time-domain FIR filter that L-1, C1 (z) are corresponding is designated as c1 (n), n=1,2 ... M1-1, the M2 rank time-domain FIR filter that C2 (z) is corresponding is designated as c2 (n), n=1,2,, M2-1.Feed-forward control signals, namely the output of feedforward control wave filter can be expressed as,
feedback control signal, namely the output of FEEDBACK CONTROL wave filter can be expressed as,
the pumping signal in control source can be expressed as, y (n)=y
1(n)+y
2n the self-adaptation adjust tactics of () feedforward control wave filter is, c
1(k)=c
1(k)-μ
1r
1(n-k) e (n) wherein μ 1 expression feedforward adaptive iteration coefficient, and the filtered reference signal that feedovers can be expressed as
the self-adaptation adjust tactics of FEEDBACK CONTROL wave filter is c
2(k) c
2(k)-μ
2r
2(n-k) e (n), wherein μ 2 represents feedback adaptive iteration coefficient, and feedback filtering reference signal can be expressed as
Because feedforward controller and feedback controller can use identical parameter update algorithm when carrying out adaptive iteration, therefore multiplexing same adaptive algorithm module can carry out adaptive iteration, wherein algorithm specifically comprises: Time-Domain algorithm, frequency domain algorithm or subband algorithm.As shown in Figure 3, this system noise sound source, control source and error pick-up all cloth are placed in a pipeline system flow of concrete iteration.The pumping signal of noise source comprises two parts.The noise signal of a concrete part to be bandwidth be 100Hz-1000Hz when implementing, this part signal is simultaneously as reference signal, it should be noted that in this embodiment and omit reference sensor, feedback hybrid control system before reference signal sends to, the noise signal of another part to be bandwidth be 400Hz-520Hz, this part signal does not send to control system.After front feedback hybrid control system collects reference signal and error signal, go out control signal for encouraging control source by the workflow management described by Fig. 2.Be wherein the Noise measarement effect of the different control strategy of contrast, the present embodiment adopts three kinds of different modes to control: (1) only opens feedforward control; (2) only FEEDBACK CONTROL is opened; (3) feedback Hybrid mode before opening.Noise measarement effect as shown in Figure 4.As can be seen from Figure 4: wherein horizontal ordinate represents frequency, unit is Hz, and ordinate represents noise level, and unit is dB, and when only opening feedforward control, 400Hz – 520Hz interval does not almost have noise reduction; When only opening FEEDBACK CONTROL, 400Hz – 520Hz has noise reduction, but the noise reduction performance of whole frequency band is not obvious; Front feedback Hybrid mode and effectively both combinations a little, achieve good noise reduction at Whole frequency band.On overall anti-acoustic capability, the noise reduction of feedforward control is 3.2dB, and the noise reduction of FEEDBACK CONTROL is 6.4dB, and front feedback Hybrid mode noise reduction then reaches 17.1dB.
Wherein it should be noted that the present embodiment only provides the typical data of duct noise suppression, and front feedback mixing control method of the present invention goes for arbitrary Active noise control using scene, other scene includes but not limited to earphone active noise control system, automobile-used active noise control system and interior space active noise control system etc.
By the way, a kind of digital front feedback adaptive mixing active noise control method, adopts digital auto-adaptive control scheme to the embodiment of the present invention, the switching that can control for feedforward, feedback and the realization of mixing application scenarios; Combined by front feedback adaptive system, can noise cancellation effect be promoted; Feedback control scheme extracting directly error signal carries out filtering, eliminates complicated reference signal building-up process, effectively simplifies system architecture; Feedback control scheme and feedforward control scheme are realized by same structure simultaneously, greatly reduce the complexity of whole system.
embodiment two:
Fig. 5 shows the structural drawing of a kind of digital front feedback adaptive mixing active noise controller that second embodiment of the invention provides, and for convenience of explanation, illustrate only the part relevant to the embodiment of the present invention.
Setup unit, for setting feedforward control wave filter and FEEDBACK CONTROL wave filter.
In specific implementation process, setup unit, for setting feedforward control wave filter and FEEDBACK CONTROL wave filter, includes when setting feedforward control wave filter and FEEDBACK CONTROL wave filter, first needs to set exponent number, needs afterwards to set adaptive iteration coefficient.
Noise measarement unit, carry out filtering for feedforward control wave filter to the reference signal got and obtain first via control signal, FEEDBACK CONTROL wave filter carries out filtering to the error signal got and obtains the second tunnel control signal.
In embodiments of the present invention, Noise measarement unit is for acquiring final control signal, first feedforward control wave filter carries out filtering process to the reference signal got, first via control signal is acquired after carrying out filtering process, FEEDBACK CONTROL wave filter carries out filtering to the error signal acquired, the second tunnel control signal is acquired after carrying out filtering process, two path control signal obtains total control signal by Signal averaging, for encouraging control source to reach the object of Active control, realize the object of the control of active noise.
Adaptive unit, the error signal collected according to error pick-up for FEEDBACK CONTROL wave filter carries out adaptive iteration, and feedforward controller wave filter carries out adaptive iteration according to reference signal and error signal.
In embodiments of the present invention, adaptive unit carries out the adaptive iteration of feedforward control wave filter and the adaptive iteration of FEEDBACK CONTROL wave filter according to the parameter information acquired, feedforward control wave filter and FEEDBACK CONTROL wave filter form front FEEDBACK CONTROL wave filter jointly, complete the adaptive iteration that digital front feedback adaptive is mixed with source control device, the error signal that wherein FEEDBACK CONTROL wave filter collects according to error pick-up carries out adaptive iteration, and feedforward controller wave filter carries out adaptive iteration according to reference signal and error signal.
By the way, a kind of digital front feedback adaptive mixing active noise controller, adopts digital auto-adaptive control scheme to the embodiment of the present invention, the switching that can control for feedforward, feedback and the realization of mixing application scenarios; Combined by front feedback adaptive system, can noise cancellation effect be promoted; Feedback control scheme extracting directly error signal carries out filtering, eliminates complicated reference signal building-up process, effectively simplifies system architecture; Feedback control scheme and feedforward control scheme are realized by same structure simultaneously, greatly reduce the complexity of whole system.
If described integrated unit using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computer read/write memory medium.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words or all or part of of this technical scheme can embody with the form of software product, this computer software product is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, ROM (read-only memory) (ROM, Read-OnlyMemory), random access memory (RAM, RandomAccessMemory), magnetic disc or CD etc. various can be program code stored medium.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a digital front feedback adaptive mixing active noise control method, it is characterized in that, described method comprises:
Setting feedforward control wave filter and FEEDBACK CONTROL wave filter;
Feedforward control wave filter carries out filtering to the reference signal got and obtains first via control signal, and FEEDBACK CONTROL wave filter carries out filtering to the error signal got and obtains the second tunnel control signal;
The error signal that FEEDBACK CONTROL wave filter collects according to error pick-up carries out adaptive iteration, and feedforward controller wave filter carries out adaptive iteration according to reference signal and error signal.
2. the method for claim 1, is characterized in that, described setting feedforward control wave filter and FEEDBACK CONTROL wave filter include: setting exponent number and setting adaptive iteration coefficient.
3. the method for claim 1, is characterized in that, described FEEDBACK CONTROL wave filter and feedforward control wave filter be multiplexing same algoritic module when carrying out adaptive iteration, adopts identical algorithm.
4. method as claimed in claim 3, it is characterized in that, described algorithm comprises: Time-Domain algorithm, frequency domain algorithm or subband algorithm.
5. the method for claim 1, is characterized in that, the Active noise control using scene that described method is suitable for comprises: earphone active noise control system, automobile-used active noise control system and interior space active noise control system.
6. a digital front feedback adaptive mixing active noise controller, it is characterized in that, described device comprises:
Setup unit, for setting feedforward control wave filter and FEEDBACK CONTROL wave filter;
Noise measarement unit, carry out filtering for feedforward control wave filter to the reference signal got and obtain first via control signal, FEEDBACK CONTROL wave filter carries out filtering to the error signal got and obtains the second tunnel control signal;
Adaptive unit, the error signal collected according to error pick-up for FEEDBACK CONTROL wave filter carries out adaptive iteration, and feedforward controller wave filter carries out adaptive iteration according to reference signal and error signal.
7. device as claimed in claim 6, it is characterized in that, described setting feedforward control wave filter and FEEDBACK CONTROL wave filter include: setting exponent number and setting adaptive iteration coefficient.
8. device as claimed in claim 6, it is characterized in that, described FEEDBACK CONTROL wave filter and feedforward control wave filter be multiplexing same algoritic module when carrying out adaptive iteration, adopts identical algorithm.
9. device as claimed in claim 8, it is characterized in that, described algorithm comprises: Time-Domain algorithm, frequency domain algorithm or subband algorithm.
10. device as claimed in claim 6, is characterized in that, the Active noise control using scene that described device is suitable for comprises: earphone active noise control system, automobile-used active noise control system and interior space active noise control system.
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