CN106782490A - Method for processing noise and device - Google Patents
Method for processing noise and device Download PDFInfo
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- CN106782490A CN106782490A CN201710058058.5A CN201710058058A CN106782490A CN 106782490 A CN106782490 A CN 106782490A CN 201710058058 A CN201710058058 A CN 201710058058A CN 106782490 A CN106782490 A CN 106782490A
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
- G10K2210/30—Means
- G10K2210/301—Computational
- G10K2210/3028—Filtering, e.g. Kalman filters or special analogue or digital filters
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
- G10K2210/30—Means
- G10K2210/301—Computational
- G10K2210/3045—Multiple acoustic inputs, single acoustic output
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Abstract
The present invention relates to a kind of method for processing noise, methods described includes：Multiple sinusoidal reference signals are obtained, wherein, the sinusoidal reference signal is generated by sinusoidal signal generator, and the different frequency of the multiple sinusoidal reference signal correspondence；For the multiple sinusoidal reference signal, processed using multiple filtering X least mean square algorithm wave filters of parallel-connection structure, to obtain multiple reference noise signals；Secondary noise signal is obtained based on the multiple reference noise signal；Outside noise signal is eliminated using the secondary noise signal, the amplitude of the secondary noise signal is identical with the amplitude of the outside noise signal, the opposite in phase of the phase of the secondary noise signal and the outside noise signal.When frequency and the noise actual frequency of reference signal have deviation (frequency shift (FS)), it is possible to reduce influence of the frequency shift (FS) for system control effect, it is more suitable for practical application, increased the robustness of system application.
Description
Technical field
The present invention relates to technical field of information processing, relate more specifically to a kind of method for processing noise and device.
Background technology
Noise pollution is widely present in industrial production and daily life, and periodic noise therein, such as engine, pressure
The noise that the rotations such as contracting machine, fan and propeller or shuttling device are sent is also very common.Concentrated due to its noise energy and divided
Specific frequency band is distributed in, so being referred to as narrow-band noise.With the progress of electronic technology, active noise control technique is gradually sent out
Exhibition, compared to traditional passive noise control, active noise controlling has the advantages that low cost, flexibility are high.
DSP (Digital Signal are mainly used during current active noise control system Project Realization
Processing, Digital Signal Processing) processor, the advantage is that associated drives comparative maturity and chip cost is relatively low.But
Be with the raising of narrow-band noise frequency, it is necessary to audio sample rate be also required to improve, therefore amount of calculation also can accordingly increase,
The calculating speed of DSP will turn into bottleneck, so the scene that current active noise control system is applied all is low-frequency noise.
Active noise controlling is poor to the noise reduction of high-frequency noise, and in reply multi-frequency, in the case of multichannel, and amount of calculation is also at double
Increase, influence noise reduction efficacy.
General active noise controlling algorithm is FxLMS (Filtered-X LMS, filtering-X lowest mean squares) algorithm, its with
It is analysis foundation that statistics LMS (Least Mean Square, lowest mean square) is theoretical, using the wave filter of equal value with secondary channel
Reference signal is pre-processed, result is injected into LMS algorithm.Frequency and noise actual frequency of the algorithm in reference signal
When rate has deviation (frequency shift (FS)), algorithm performance influences noise reduction to there is greatly reduction, and system flexibility is poor.
Need to provide a kind of method for processing noise and device, to solve the above problems at least in part.
The content of the invention
A kind of method for processing noise of the invention and device are proposed in view of above mentioned problem, reference signal frequency with
When noise actual frequency has deviation (frequency shift (FS)), noise reduction is not influenceed, and increased the flexibility of system application.
According to an aspect of the present invention, there is provided a kind of method for processing noise, methods described includes：Obtain multiple sinusoidal references
Signal, wherein, the sinusoidal reference signal is generated by sinusoidal signal generator, and the multiple sinusoidal reference signal correspondence is different
Frequency；For the multiple sinusoidal reference signal, the multiple filtering-X least mean square algorithm wave filters using parallel-connection structure enter
Row treatment, to obtain multiple reference noise signals；Secondary noise signal is obtained based on the multiple reference noise signal；Using institute
State secondary noise signal and eliminate outside noise signal, the amplitude of the amplitude of the secondary noise signal and the outside noise signal
It is identical, the opposite in phase of the phase of the secondary noise signal and the outside noise signal.
According to another aspect of the present invention, there is provided a kind of noise processing apparatus, described device includes：Sinusoidal reference signal
Acquisition module, is configured as obtaining multiple sinusoidal reference signals, wherein, the sinusoidal reference signal is given birth to by sinusoidal signal generator
Into, and the different frequency of the multiple sinusoidal reference signal correspondence；Sinusoidal reference signal processing module, is configured as described
Multiple sinusoidal reference signals, are processed using multiple filtering-X least mean square algorithm wave filters of parallel-connection structure, many to obtain
Individual reference noise signal；Secondary noise signal acquisition module, is configured as obtaining secondary based on the multiple reference noise signal
Noise signal；Outside noise signal cancellation module, is configured to, with the secondary noise signal and eliminates outside noise signal, institute
The amplitude for stating secondary noise signal is identical with the amplitude of the outside noise signal, the phase of the secondary noise signal with it is described
The opposite in phase of outside noise signal.
Method for processing noise provided in an embodiment of the present invention and device, for each reference signal, using corresponding filter
Ripple-X least mean square algorithm wave filters are processed, and have deviation (frequency shift (FS)) in frequency and the noise actual frequency of reference signal
When, influence of the frequency shift (FS) for system control effect is reduced, the robustness of system is enhanced, it is more suitable for actual answering
With increased the flexibility of system application.
Brief description of the drawings
The embodiment of the present invention is described in more detail by with reference to accompanying drawing, of the invention above-mentioned and other purposes,
Feature and advantage will be apparent.Accompanying drawing is used for providing further understanding the embodiment of the present invention, and constitutes explanation
A part for book, is used to explain the present invention together with the embodiment of the present invention, is not construed as limiting the invention.In the accompanying drawings,
Identical reference number typically represents same parts or step.
Fig. 1 shows the theory structure schematic diagram of arrowband feedforward FxLMS algorithms；
Fig. 2 shows a kind of schematic flow sheet of method for processing noise of the embodiment of the present invention；
Fig. 3 shows the structural representation of the parallel-connection structure FxLMS algorithms of the embodiment of the present invention；
Fig. 4 shows the multiplier resources multiplexing time diagram of the embodiment of the present invention；
Fig. 5 shows a kind of schematic block diagram of noise processing apparatus of the embodiment of the present invention.
Specific embodiment
In order that obtain the object, technical solutions and advantages of the present invention becoming apparent, root is described in detail below with reference to accompanying drawings
According to example embodiment of the invention.Obviously, described embodiment is only a part of embodiment of the invention, rather than this hair
Bright whole embodiments, it should be appreciated that the present invention is not limited by example embodiment described herein.Described in the present invention
The embodiment of the present invention, those skilled in the art's all other embodiment resulting in the case where creative work is not paid
Should all fall under the scope of the present invention.
Feedforward active noise (ANC) system has two kinds of implementation methods, its source for differring primarily in that reference signal.Although
Primary noise is gathered with acoustic sensor can carry out active control as the algorithm of reference signal for broadband and narrow-band noise,
But acoustic feedback problem can have a strong impact on the stability of algorithm.In embodiments of the present invention, narrowband noise signals are carried out actively
Control, it is possible to use it is main that the non-acoustic parameter of the non-acoustic such as accelerometer, tachometer sensor collection calculates noise signal
Frequency, and then generate reference signal in internal system.
The structure of arrowband feedforward filtering-X lowest mean square (FxLMS) algorithm is as shown in Figure 1.Algorithm mainly includes reference signal
Generation, three parts of off-line identification and least mean square algorithm (LMS) adaptive-filtering of secondary sound passage.Such as institute in Fig. 1
Show, wherein W (z) represents FIR (Finite Impulse Response, there is limit for length's unit impulse response) wave filter, P (z) is represented
Primary sound passage, S (z) is represented from secondary noise digital-to-analogue conversion to microphone pick to the secondary sound passage between voice data,It is the M ranks FIR estimations of secondary sound passage S (z).Secondary sound passage can cause system unstable, lead to compensate secondary sound
The influence in road, FxLMS algorithms need the M ranks FIR for obtaining secondary sound passage S (z) to estimate
Assuming that secondary sound passage is that time-invariant system and primary noise do not exist in identification process, then can use from
The method of line identification.The off-line identification module that system is used is in Fig. 1 in dotted line frame.Secondary sound passage is obtained after stabilization
Transmission function is formula (1-1)
The effect of FxLMS algorithms is the coefficient of change FIR filter W (z) of self adaptation, it is assumed that the length of wave filter is L,
U is the step factor of algorithm, then FxLMS algorithms can be expressed as formula (1-2) (1-3) (1-4) (1-5)
E (n)=d (n)+y (n) (1-5)
In actual applications, narrow-band noise will not only include a frequency component, include that the high order of its fundamental frequency is humorous toward contact
Ripple or other energy frequency component higher.In order to solve this problem, sinusoidal signal generator can be made comprising multiple right
The frequency component answered, it is low in resources consumption advantage of this is that algorithm structure is simple.But one can be brought serious to ask simultaneously
Topic, i.e., when each frequency component gap is larger in noise, same step factor cannot make all frequencies reach optimal convergence
State, can produce vibration or not convergent situation.And when each frequency component gap is smaller, it is necessary to sef-adapting filter
Exponent number long enough can so cause the problems such as convergence rate is slow, quantization error is big to meet the high-resolution of side frequency.
Therefore, the embodiment of the present invention proposes a kind of a kind of method for processing noise for solving the above problems, and can individually process
Each frequency component, i.e., using the FxLMS algorithms of parallel-connection structure.
A kind of method for processing noise that the present invention is provided is described in detail below in conjunction with accompanying drawing, so that this area skill
Art personnel can clearly and accurately understand technical scheme.
Fig. 2 shows a kind of schematic flow sheet of method for processing noise of the embodiment of the present invention.
As shown in Fig. 2 a kind of method for processing noise may include steps of：
Step 210, obtains multiple sinusoidal reference signals, wherein, sinusoidal reference signal is generated by sinusoidal signal generator, and
The different frequency of multiple sinusoidal reference signal correspondences.
In this step, it is possible to use the non-acoustic parameter of the non-acoustic such as accelerometer, tachometer sensor collection is simultaneously counted
Noise signal main frequency is calculated, and then sinusoidal reference signal is generated in internal system.In some instances, can be by detection
The acceleration or rotating speed of noise source (for example, automobile engine), determine that primary reference signal (is made an uproar according to acceleration or rotating speed
Sound source produce noise signal) reference frequency (main frequency), it is possible to according to the reference frequency, by sinusoidal signal
Taylor series expansion is iterated calculating, you can obtain sinusoidal reference signal.
Due to the arithmetic speed of FPGA (Field-Programmable Gate Array, i.e. field programmable gate array)
Comparatively fast, in order to improve integral operation speed, in embodiments of the present invention, sinusoidal signal generator is realized in FPGA.Due to
FPGA can only in embodiments of the present invention change the calculating side of sinusoidal signal by the Form generation sinusoidal reference signal of hardware
Method.Exemplarily, using the taylor series expansion of sinusoidal signal, the numerical value of sinusoidal signal is calculated by way of iteration, is adopted
Iterative formula when with fractional fixed point position being N is iterated calculatings, wherein iterative formula such as (1-6), (1-7), (1-8) it is shown.
X (n)=C × x (n-1)-x (n-2), n >=3 (1-6)
X (0)=0, x (1)=round (0.01 × 2N) (1-7)
C=round (2 × cos (2 π f/fs)×2N) (1-8)
Wherein, fsIt is signal sampling rate, f is sinusoidal signal frequency, and round is the function that rounds up.
Further, multiple sinusoidal reference signals include the first reference signal, the second reference signal and the 3rd reference signal,
Wherein, the frequency of the second reference signal, the frequency of the 3rd reference signal are true according to the product value of reference frequency and default bias amount
It is fixed.It is if the frequency of reference signal is different from the frequency of primary noise, i.e., so-called in the practical application of arrowband ANC system
When frequency shift (FS) phenomenon occurs, system can drastically decline for the control ability of the frequency noise.In order to determine frequency shift (FS) journey
The influence for system noise control ability is spent, is imitated when herein for different frequency and different degrees of frequency shift (FS)
True analysis, as shown in table 1：
Influence of the frequency shift (FS) of table 1 to different frequency Noise measarement effect
Tab.1 The effect offequency deviation of different frequency noise
eontrol
As shown in Table 1, can be to receive when the control ability of the frequency noise of a certain frequency component reaches more than 10dB
, i.e., the side-play amount of its noise frequency is within 1%.So in order to increase robustness of the system for frequency shift (FS), it is assumed that this
The frequency of the first reference signal is f in inventive embodiments, then the frequency of the second reference signal and the 3rd reference signal can be on f
Lower skew 1%, for example, it can be 1.01f that the frequency of the second reference signal is reference frequency, the frequency of the 3rd reference signal is
0.99f。
Step 220, for multiple sinusoidal reference signals, is filtered using multiple filtering-X least mean square algorithms of parallel-connection structure
Device is processed, to obtain multiple reference noise signals.
In this step, for the sinusoidal reference signal of different frequency component, filtering-X least mean square algorithms are respectively provided with
Wave filter is processed, therefore, multiple sinusoidal reference signals are using at multiple filtering-X least mean square algorithm filter parallels
Reason.Remain to reach good noise reduction when reference signal frequency and noise signal frequencies have deviation, so as to improve calculation
The adaptability of method (or ANC system).
Exemplarily, this step can be implemented as：For sinusoidal reference signal any one described, by corresponding filter
Ripple-X least mean square algorithms wave filter carries out multiplying, to obtain reference noise signal, multiple filtering-X least mean square algorithms
The multiple reference noise signals of wave filter output.
Fig. 3 shows the structural representation of the parallel-connection structure FxLMS algorithms of the embodiment of the present invention.The pin of the embodiment of the present invention
To multiple sinusoidal reference signals, can be processed using parallel-connection structure FxLMS wave filters as indicated at 3.As shown in figure 3, pin
To any one sinusoidal reference signal, one FxLMS wave filter of correspondence exemplarily, multiplication is carried out by the FxLMS wave filters to it
Computing, for example, frequency exports reference noise letter for the sinusoidal reference signal of 0.99f after its corresponding FxLMS filter process
Number y1,i, frequency is that the sinusoidal reference signal of f exports reference noise signal y after its corresponding FxLMS filter process2,i, frequency
Rate exports reference noise signal y for the sinusoidal reference signal of 1.01f after its corresponding FxLMS filter process3,i。
By the sinusoidal reference signal for different frequency component, it is respectively provided with filtering-X least mean square algorithm wave filters and enters
The embodiment of row treatment, can remain to reach good noise reduction effect when reference signal frequency and noise signal frequencies have deviation
Really, so as to improve the adaptability of algorithm (or ANC system).
However, it is more due to filtering the multiply-add operation of-X least mean square algorithm wave filters, increase filtering-X lowest mean squares and calculate
The quantity of method wave filter, can also increase the computation burden of system.According to one embodiment of the invention, time-multiplexed side can be used
Formula solves the above problems.Illustratively, time-multiplexed (or multiplier multiplexing) can be based on, in different time scope respectively to many
The multiplying of individual filtering-X least mean square algorithm wave filters is calculated.Multiple filtering-X least mean square algorithms are realized with FPGA
As a example by the multiplying of wave filter, the work clock of FPGA is 50MHz, and the sampling clock of noise signal is 32KHz, meets system
System clock frequency is much larger than the condition of data clock rate, such that it is able to be turned using the multiplying for carrying out synchronization parallel
The method for being changed to serial computing is multiplexed to multiplier, i.e., so-called time-multiplexed.
Fig. 4 shows the multiplier resources multiplexing time diagram of the embodiment of the present invention.Assuming that there is N number of parallel exponent number to be
The wave filter of M, when the rising edge of data clock arrives, it is necessary to calculate N × M multiplication result, that is, needs N × M multiplication
Device.And if using multiplexing technology, the multiplying at different levels of each wave filter is calculated one by one, as long as meet multiplying twice when
Between interval more than multiplier output result time, then the output result of N number of multiplier serial computing is correct, for example, multiplying in Fig. 4
The time T2s of the operation time interval T1 more than the output result of multiplication (1) of method (1) and multiplication (2).Such parallelism wave filter institute
The number of multipliers of consumption will be reduced to M, greatly save multiplier resources.As shown in figure 4, with the increasing of multiplexing number
Plus, the difficulty for designing scheduler module also can accordingly increase.Because the system is to carry out multiplier to the algoritic module of same type
Multiplexing, so scheduler module can be realized using simple counter, i.e., when data effectively (start the node of multiplying)
Counting is proceeded by system clock, the multiplying of each algoritic module is carried out in different count values, while in different meters
Numerical value exports each multiplication result.
It is further illustrated, by test, the present invention is realized for example with nine parallel FxLMS wave filters, if
Resource multiplex technology is not used, and algorithm also needs to nine 128 rank FIR filters and nine in addition to secondary sound passage is recognized
64 rank LMS sef-adapting filters, need altogether 2121 multipliers.As a result of multiplexing technology, so system algorithm includes
The secondary sound passage identification module of one 128 rank, 128 rank FIR filters of output of nine input nine and one nine input nine
64 rank LMS sef-adapting filters of output, it is only necessary to 713 multipliers, compared to the multiplier that nearly 2 times have been saved before multiplexing
Resource.By taking the EP3SE260F1152C2 chips in altera corp's Stratix III series as an example, the chip only 768 multiplies
Musical instruments used in a Buddhist or Taoist mass, is such as provided without resource multiplex technology, and the chip can not work, if change making other chips, cost also will
Increase, and after using multiplier resources of the invention multiplexing (time-multiplexed) technology, the chip can just complete this work.From
And greatly reduce system cost.
Step 230, secondary noise signal is obtained based on multiple reference noise signals.
In this step, add operation can be carried out to multiple reference noise signals, to obtain secondary noise signal.
Step 240, outside noise signal, the amplitude and outside noise of secondary noise signal are eliminated using secondary noise signal
The amplitude of signal is identical, the opposite in phase of the phase of secondary noise signal and the outside noise signal.
In this step, secondary noise signal and outside noise signal can be done addition calculation, so as to eliminate the external world make an uproar
Acoustical signal, reaches the purpose of noise reduction.
According to one embodiment of the invention, filtering-X least mean square algorithms wave filter can include that FIR filter and LMS are filtered
Device, method for processing noise can also comprise the following steps：
After outside noise signal is eliminated using secondary noise signal, based on secondary noise signal and outside noise signal
Error signal is obtained, according to the frequency of error signal, error signal corresponding LMS wave filters is fed back into, so that LMS wave filters
The step factor u of FIR filter is adjusted according to equation below：
By the embodiment, the step factor of FIR filter can be adjusted according to actual conditions, to adapt to making an uproar for multi-frequency
Acoustical signal can reach optimal convergence state by the treatment of the embodiment of the present invention, so as to reach preferably noise reduction.
To sum up, using method for processing noise provided in an embodiment of the present invention, for each reference signal, using corresponding
Filtering-X least mean square algorithm wave filters are processed, and (frequency is inclined to have deviation in frequency and the noise actual frequency of reference signal
Move) when, influence of the frequency shift (FS) for system control effect is reduced, the robustness of system is enhanced, it is more suitable for reality
Using increased the flexibility of system application.
Additionally, the application of resource multiplex (multiplexing of time-multiplexed or multiplier) technology greatly reduces system for multiplication
The consumption of device resource, reduces cost of implementation.
And the embodiment of the present invention uses the stronger FPGA of computation capability as core processor, and high frequency can be made an uproar
Sound carries out active control, while the situation that amount of calculation in the case of multi-frequency, multichannel is multiplied can also be solved.
Coordinate by from different noise frequency parsers, the system can be applied to the control neck of various narrow-band noises
Domain.For example for the active control of Automobile intrinsic motivation noise, can be analyzed by Real-time Collection automobile engine signal
Automobile engine noise main frequency, and then active control is carried out to it using proposed system.
A kind of another aspect of the present invention, there is provided noise processing apparatus of the above-mentioned method for processing noise of application.Fig. 5 shows this
The schematic block diagram of a kind of noise processing apparatus of inventive embodiments, as shown in figure 5, noise processing apparatus can be included just
String reference signal acquisition module 510, sinusoidal reference signal processing module 520, secondary noise signal acquisition module 530 and the external world make an uproar
Acoustical signal cancellation module 540.And sinusoidal reference signal acquisition module 510, sinusoidal reference signal processing module 520, secondary noise
Signal acquisition module 530 and outside noise signal cancellation module 540 can be set within a processor, such as in FPGA.
Wherein, sinusoidal reference signal acquisition module 510 is configured as obtaining multiple sinusoidal reference signals, wherein, sine ginseng
Signal is examined to be generated by sinusoidal signal generator, and the different frequency of multiple sinusoidal reference signal correspondences.
Sinusoidal reference signal processing module 520 is configured as multiple sinusoidal reference signals, using many of parallel-connection structure
Individual filtering-X least mean square algorithm wave filters are processed, to obtain multiple reference noise signals.
Secondary noise signal acquisition module 530 is configured as obtaining secondary noise signal based on multiple reference noise signals.
Outside noise signal cancellation module 540 is configured to, with secondary noise signal and eliminates outside noise signal, secondary
The amplitude of noise signal is identical with the amplitude of outside noise signal, the phase of secondary noise signal and the phase of outside noise signal
Conversely.
The realization principle of modules and effect is realized in noise processing apparatus, specifically may refer to method for processing noise reality
The detailed description of example is applied, for sake of simplicity, not being described in detail in the present embodiment.
Using noise processing apparatus provided in an embodiment of the present invention, for each reference signal, using corresponding filtering-
X least mean square algorithm wave filters are processed, when the frequency of reference signal has deviation (frequency shift (FS)) with noise actual frequency,
Influence of the frequency shift (FS) for system control effect is reduced, the robustness of system is enhanced, it is more suitable for practical application, increased
The flexibility of system application is added.
Although the example embodiment by reference to Description of Drawings herein, it should be understood that above-mentioned example embodiment is merely exemplary
, and be not intended to limit the scope of the invention to this.Those of ordinary skill in the art can wherein carry out various changes
And modification, it is made without departing from the scope of the present invention and spirit.All such changes and modifications are intended to be included in appended claims
Within required the scope of the present invention.
Those of ordinary skill in the art are it is to be appreciated that the list of each example described with reference to the embodiments described herein
Unit and algorithm steps, can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
Performed with hardware or software mode, depending on the application-specific and design constraint of technical scheme.Professional and technical personnel
Described function, but this realization can be realized it is not considered that exceeding using distinct methods to each specific application
The scope of the present invention.
In several embodiments provided herein, it should be understood that disclosed apparatus and method, can be by it
Its mode is realized.For example, apparatus embodiments described above are only schematical, for example, the division of unit, is only
A kind of division of logic function, can there is other dividing mode when actually realizing, such as multiple units or component can combine or
Person is desirably integrated into another equipment, or some features can be ignored, or does not perform.
In specification mentioned herein, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be put into practice in the case of without these details.In some instances, known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this description.
Similarly, it will be appreciated that in order to simplify the present invention and help to understand one or more in each inventive aspect, exist
In to the description of exemplary embodiment of the invention, each feature of the invention be grouped together into sometimes single embodiment, figure,
Or in descriptions thereof.However, the method for the present invention should be construed to reflect following intention：It is i.e. required for protection
Application claims features more more than the feature being expressly recited in each claim.More precisely, such as corresponding power
As sharp claim reflects, its inventive point is that can use the spy of all features less than certain disclosed single embodiment
Levy to solve corresponding technical problem.Therefore, it then follows it is specific that thus claims of specific embodiment are expressly incorporated in this
Implementation method, wherein each claim are in itself as separate embodiments of the invention.
It will be understood to those skilled in the art that in addition to mutually exclusive between feature, any combinations pair can be used
All features and so disclosed any method disclosed in this specification (including adjoint claim, summary and accompanying drawing)
Or all processes or unit of equipment are combined.Unless expressly stated otherwise, this specification (including adjoint right will
Ask, make a summary and accompanying drawing) disclosed in each feature can the alternative features of or similar purpose identical, equivalent by offer replace.
Although additionally, it will be appreciated by those of skill in the art that some embodiments described herein include other embodiments
In included some features rather than further feature, but the combination of the feature of different embodiments means in of the invention
Within the scope of and form different embodiments.For example, in detail in the claims, embodiment required for protection it is one of any
Mode can use in any combination.
All parts embodiment of the invention can be realized with hardware, or be run with one or more processor
Software module realize, or with combinations thereof realize.It will be understood by those of skill in the art that can use in practice
Microprocessor or digital signal processor (DSP) are come in realizing wire suspension location device according to embodiments of the present invention
The some or all functions of some modules.The present invention is also implemented as the part for performing method as described herein
Or the program of device (for example, computer program and computer program product) of whole.It is such to realize that program of the invention
To store on a computer-readable medium, or there can be the form of one or more signal.Such signal can be from
Downloaded on internet website and obtained, or provided on carrier signal, or provided in any other form.
It should be noted that above-described embodiment the present invention will be described rather than limiting the invention, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol being located between bracket should not be configured to limitations on claims.Word "comprising" is not excluded the presence of not
Component listed in the claims or step.Word "a" or "an" before component is not excluded the presence of as multiple
Component.The present invention can come real by means of the hardware for including some different components and by means of properly programmed computer
It is existing.If in the unit claim for listing equipment for drying, several in these devices can be by same hardware branch
To embody.The use of word first, second, and third does not indicate that any order.These words can be explained and run after fame
Claim.
The above, specific embodiment only of the invention or the explanation to specific embodiment, protection of the invention
Scope is not limited thereto, any one skilled in the art the invention discloses technical scope in, can be easily
Expect change or replacement, should all be included within the scope of the present invention.Protection scope of the present invention should be with claim
Protection domain is defined.
Claims (10)
1. a kind of method for processing noise, it is characterised in that methods described includes：
Multiple sinusoidal reference signals are obtained, wherein, the sinusoidal reference signal is generated by sinusoidal signal generator, and the multiple
The different frequency of sinusoidal reference signal correspondence；
For the multiple sinusoidal reference signal, at multiple filtering-X least mean square algorithm wave filters of parallel-connection structure
Reason, to obtain multiple reference noise signals；
Secondary noise signal is obtained based on the multiple reference noise signal；
Outside noise signal, amplitude and the outside noise of the secondary noise signal are eliminated using the secondary noise signal
The amplitude of signal is identical, the opposite in phase of the phase of the secondary noise signal and the outside noise signal.
2. method for processing noise according to claim 1, it is characterised in that methods described also includes：
The non-acoustic parameter in detection noise source；
The reference frequency of the non-acoustic parameter determination primary reference signal according to the noise source, wherein, it is described primary with reference to letter
Number for noise source produce noise signal；
And,
The sinusoidal signal generator be based on the primary reference signal reference frequency, by the Taylor series to sinusoidal signal
Expansion is iterated calculating, to obtain the sinusoidal reference signal.
3. method for processing noise according to claim 2, it is characterised in that the sinusoidal signal generator is arranged on FPGA
In processor,
And calculating is iterated to the taylor series expansion of the sinusoidal signal by equation below：
X (n)=C × x (n-1)-x (n-2), n >=3；
X (0)=0, x (1)=round (0.01 × 2N)；With
C=round (2 × cos (2 π f/fs)×2N),
Wherein, fsIt is signal sampling rate, f is sinusoidal signal frequency, and round is the function that rounds up.
4. the method for processing noise according to Claims 2 or 3, it is characterised in that the multiple sinusoidal reference signal includes
First reference signal, the second reference signal and the 3rd reference signal,
Wherein, the frequency of first reference signal is the reference frequency；
The frequency of second reference signal, the frequency of the 3rd reference signal are according to the reference frequency and default bias amount
Product value determine.
5. method for processing noise according to claim 1, it is characterised in that described for the multiple sinusoidal reference letter
Number, carrying out treatment using multiple filtering-X least mean square algorithms wave filters of parallel-connection structure includes：
For sinusoidal reference signal any one described, multiplication is carried out by corresponding filtering-X least mean square algorithms wave filter
Computing, to obtain the reference noise signal,
Multiple filtering-X least mean square algorithms wave filters export multiple reference noise signals.
6. method for processing noise according to claim 1 or 5, it is characterised in that described based on the multiple reference noise
Signal obtains secondary noise signal to be included：
The multiple reference noise signal is carried out into add operation, to obtain secondary noise signal.
7. method for processing noise according to claim 5, it is characterised in that methods described also includes：
Multiplying using serial mode respectively to multiple filtering-X least mean square algorithm wave filters is calculated.
8. method for processing noise according to claim 7, it is characterised in that the use serial mode is respectively to multiple institutes
The multiplying for stating filtering-X least mean square algorithm wave filters carries out calculating and includes：
Based on time-multiplexed, the multiple filtering-X least mean square algorithm wave filters are multiplied respectively in different time scope
Method computing is calculated.
9. method for processing noise according to claim 1, it is characterised in that the filtering-X least mean square algorithm wave filters
Limit for length's unit impulse response wave filter and least mean square algorithm wave filter are included,
Methods described also includes：
After outside noise signal is eliminated using the secondary noise signal, based on the secondary noise signal and outside noise
Signal obtains error signal,
According to the frequency of the error signal, the error signal is fed back into corresponding least mean square algorithm wave filter, so that
The least mean square algorithm wave filter has the step factor of limit for length's unit impulse response wave filter according to equation below is adjusted：
10. a kind of noise processing apparatus, it is characterised in that described device includes：
Sinusoidal reference signal acquisition module, is configured as obtaining multiple sinusoidal reference signals, wherein, the sinusoidal reference signal by
Sinusoidal signal generator is generated, and the different frequency of the multiple sinusoidal reference signal correspondence；
Sinusoidal reference signal processing module, is configured as the multiple sinusoidal reference signal, using the multiple of parallel-connection structure
Filtering-X least mean square algorithm wave filters are processed, to obtain multiple reference noise signals；
Secondary noise signal acquisition module, is configured as obtaining secondary noise signal based on the multiple reference noise signal；
Outside noise signal cancellation module, is configured to, with the secondary noise signal and eliminates outside noise signal, described time
The amplitude of level noise signal is identical with the amplitude of the outside noise signal, phase and the external world of the secondary noise signal
The opposite in phase of noise signal.
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