CN103346844A - Intelligent noise protector - Google Patents
Intelligent noise protector Download PDFInfo
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- CN103346844A CN103346844A CN2013102607052A CN201310260705A CN103346844A CN 103346844 A CN103346844 A CN 103346844A CN 2013102607052 A CN2013102607052 A CN 2013102607052A CN 201310260705 A CN201310260705 A CN 201310260705A CN 103346844 A CN103346844 A CN 103346844A
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Abstract
An intelligent noise protector comprises an original input end, a reference input end, a front-end preprocessing module, a first synchronous AD conversion module, a second synchronous AD conversion module, a noise counteracting processing module, an output processing module and a wireless transmitter module, wherein the original input end is connected with the input end of the first synchronous AD conversion module through the front-end preprocessing module, the reference input end is connected with the input end of the second synchronous AD conversion module, the output end of the first synchronous AD conversion module and the output end of the second synchronous AD conversion module are respectively connected with the input end of the noise counteracting processing module, and the output end of the noise counteracting processing module is connected with the output processing module. The intelligent noise protector can restrain background noise, achieves noise protection, can automatically adjust parameters, changes along with actual situations, achieves optimal speech communication, and can be used for noise reduction treatment in daily life, noise protection in manufacturing industry, engine noise counteracting of a motor of a moving locomotive and speech enhancement processing for people with hearing difficulties due to the fact that the types and the parameters of a sensor of a signal input end are changed.
Description
Technical field
The present invention relates to the noise protection field, particularly a kind of intelligent noise protector.
Background technology
In daily life, the life that disturb, noise always influences us, torridity summer for example, quiet evening room air conditioner buzz; Earsplitting machine roar etc. in the workshop.Along with development of modern industry, noise source is more and more many, influences also more and more serious.Particularly in textile mills, noise source is many, and noise is big, not only influences the staff and exchanges, and is also very big to its healthy influence.
Although country is by the noise characteristic of a series of pressure criteria limit product, reduce noise intensity, solve from the source, but will carry out noise reduction work, also need take to block at the pipeline of noise, locate to implement the noise recipient measures such as protection in actual applications.Individual protection commonly used mainly contains and wears ear defenders such as earplug, earmuff, prevents sound helmet etc. in the textile mills, these measures reduce noise effect by mechanism such as isolation, absorptions, they also can also reduce useful voice intensity when background noise levels is reduced, brought difficulty to interchange, when particularly noise intensity is very big.
Summary of the invention
The object of the present invention is to provide a kind of intelligent noise protector that in textile mills, carries out not influencing again when noise is eliminated voice.
In order to achieve the above object, the technical solution used in the present invention is:
Comprise signal input part and FPGA hardware platform; Signal input part comprises original input and reference input; The FPGA hardware platform comprises the front end pretreatment module, first, second synchronous AD modular converter, noise cancellation processing module and output processing module; Original input links to each other with the input of front end pretreatment module, and the output of front end pretreatment module links to each other with the input of the first synchronous AD modular converter; Reference input adopts communication to obtain multichannel reference-input signal, and reference input links to each other with the input of the second synchronous AD modular converter; The output of the first synchronous AD modular converter links to each other with the primary signal input of noise cancellation processing module, the output of the second synchronous AD modular converter links to each other with the reference signal input of noise cancellation processing module, and the output of noise cancellation processing module links to each other with output processing module.
Described noise cancellation processing module comprises that multichannel reference signal noise cancellation module, wave beam form module and DA modular converter; The output of the first synchronous AD modular converter links to each other with the primary signal input of multichannel reference signal noise cancellation module, the output of the second synchronous AD modular converter links to each other with the reference signal input of multichannel reference signal noise cancellation module, the output of multichannel reference signal noise cancellation module links to each other with the input of DA modular converter after wave beam forms module, and the output of DA modular converter links to each other with output processing module.
Described multichannel reference signal noise cancellation module adopts multichannel NLMS cancellation algorithms to realize noise cancellation.
Described original input adopts two speech transducer to gather original input signal; The first synchronous AD modular converter is provided with two inputs and two outputs; Multichannel reference signal noise cancellation module is provided with two primary signal inputs; One of them speech transducer links to each other with a primary signal input of multichannel reference signal noise cancellation module with an output by an input of front end pretreatment module and AD modular converter successively, and another speech transducer links to each other with another primary signal input of multichannel reference signal noise cancellation module with another output by another input of front end pretreatment module and AD modular converter successively.
Described front end pretreatment module comprises that signal amplifies, frequency band equilibrium and automatic gain are controlled this three processing sections.
Also comprise for receiving a plurality of noises and launching the wireless transmitter module that makes reference input obtain multichannel reference-input signal with wireless mode.
Compared with prior art, beneficial effect of the present invention is:
The present invention has overcome in the prior art when background noise levels reduced and also useful voice intensity has also been reduced, to such an extent as to bring the problem of difficulty to interchange, by signal input part being arranged to these two parts of original input and reference input, the signal of these two part inputs is carried out the noise cancellation processing at the FPGA hardware platform, make the present invention accomplish the noise processed of textile mills and can significantly decay to specific background noise, to the almost not influence of interested voice, do not influence people and exchange normally again; Simultaneously, when background noise changed, noise cancellation processing module of the present invention can be adjusted its relevant parameter, adapted to the variation of noise background, realized same counteracting, and to almost not influence of voice, thereby the signal to noise ratio of raising output signal.
Further, noise cancellation module comprises multichannel reference signal noise cancellation module among the present invention, multichannel reference signal noise cancellation module carries out adaptive-filtering to multichannel reference-input signal, by multichannel NLMS cancellation algorithms, reach the purpose of eliminating noise, and multichannel NLMS cancellation algorithms can be regulated relevant parameter automatically, follows actual scene change, realizes best neutralization effect.
Further, original input adopts two speech transducer to form the sensing array among the present invention, forms by wave beam, improves useful voice quality.
Further, the reference input among the present invention adopts communication, receives the noise signal of being launched by wireless transmitter module, thereby obtains multichannel reference-input signal, to improve cancelling capabilities.
Further, the present invention is by type and the parameter of the transducing part of change signal input part, by revising the software parameter of processing platform, the functions such as voice enhancing that can be used for realizing the engine noise counteracting (as the counteracting of noise in the vehicles) of the noise reduction process (as the noise processed in the life staying idle at home environment) in the daily life, manufacturing noise protection (as the counteracting of noisy workshop noise), motion locomotive and suffer from dysaudia.Profile of the present invention can be designed to portable shapes such as similar earphone forms easily, conveniently uses and carries.
Description of drawings
Fig. 1 is the system construction drawing of the present invention's intelligence noise protector;
Wherein: 1 for signal input part, 2 for front end pretreatment module, 3 be the first synchronous AD modular converter, 4 for the noise cancellation processing module, 5 for multichannel reference signal noise cancellation module, 6 for wave beam form module, 7 for the DA modular converter, 8 for output processing module, 9 for original input, 10 for reference input, 11 be that the second synchronous AD modular converter, 12 is that wireless transmitter module, 13 is that noise source, 14 is speech transducer.
Embodiment
Below in conjunction with accompanying drawing the present invention is described in further detail.
Referring to Fig. 1, the present invention includes signal input part 1, FPGA hardware platform and wireless transmitter module 12; Signal input part 1 comprises original input 9 and reference input 10.Reference input 10 adopts communication, wireless transmitter module 12 is used for collection and the wireless transmission thereof of complex noise source signal, wireless transmitter module 12 is after receiving the noise that a plurality of noise sources 13 send, launch by wireless mode, the multichannel reference-input signal that is used for reference input 10 is chosen.The FPGA hardware platform comprises front end pretreatment module 2, first, second synchronous AD(modulus) modular converter 3,11, noise cancellation processing module 4 and output processing module 8; Wherein noise cancellation processing module 4 comprises that multichannel reference signal noise cancellation module 5, wave beam form module 6 and DA(digital-to-analogue) modular converter 7.Original input 9 adopts two speech transducer 14 to gather original input signal, one of them speech transducer 14 links to each other with a primary signal input of multichannel reference signal noise cancellation module 5 with an output by an input of front end pretreatment module 2 and AD modular converter 3 successively, and another speech transducer 14 links to each other with another primary signal input of multichannel reference signal noise cancellation module 5 with another output by another input of front end pretreatment module 2 and AD modular converter 3 successively.Front end pretreatment module 2 comprises signal amplification, frequency band equilibrium (anti-aliasing filter) and automatic gain control (AGC) these three processing sections.Reference input 10 links to each other with the input of the second synchronous AD modular converter 11; The output of the second synchronous AD modular converter 11 links to each other with the reference signal input of multichannel reference signal noise cancellation module 5, the output of multichannel reference signal noise cancellation module 5 links to each other with the input of DA modular converter 7 after wave beam forms module 6, and the output of DA modular converter 7 links to each other with output processing module 8.
The present invention is hardware platform with FPGA, makes up whole noise protector at FPGA.Hardware platform is an independently digital signal processing unit.In order to improve useful voice quality, adopt two speech transducer to gather original input signal at original input 9, the original input signal of gathering forms in multichannel reference signal noise cancellation module 5 and points to array, form in the module 6 at wave beam again and form wave beam, thereby improve useful voice quality.In order to improve cancelling capabilities, reference input 10 adopts communication, obtains multichannel reference-input signal, to improve cancelling capabilities.Multichannel reference-input signal comes from a plurality of noise sources 13, after being received by wireless transmitter module 12, launches by wireless mode, is received by reference input 10.Noise cancellation processing module 4 adopts multichannel reference signal noise cancellation module 5, multichannel reference signal noise cancellation module 5 adopts multichannel NLMS cancellation algorithms, make multichannel reference-input signal noise adaptive cancellation, and then form module 6 formation wave beams by wave beam.Multichannel NLMS cancellation algorithms can also be regulated parameter automatically, follows actual scene change, realizes best neutralization effect.
When the present invention is used for noise processed in textile mills, original input 9 and reference input 10 are respectively applied to gather original input signal (useful signal) and reference-input signal (noise), original input 9 adopts two speech transducer 14 to form and points to array, form by wave beam, improve useful voice quality; Wireless transmitter module 12 receives the noise that a plurality of noise sources 13 are sent, and the noise signal that obtains launched, reference input 10 adopts communications, and the noise signal that is provided by wireless transmitter module 12 is provided, thereby obtain multichannel reference-input signal, to improve cancelling capabilities.Original input signal (useful signal) and reference-input signal (noise) are used for the adaptive-filtering processing procedure of the multichannel reference-input signal of back noise cancellation processing module 4.Original input collects two original input signals (useful signal) afterwards by two speech transducer 14, two original input signals (useful signal) that will collect earlier carry out preliminary treatment respectively in front end pretreatment module 2, comprise amplification, frequency band equilibrium and three parts of automatic gain control of signal.Pretreated two signals become two digital signals by the first synchronous AD modular converter 3 with two analog signal conversion respectively.And reference input directly carries out the AD conversion by the second synchronous AD modular converter 11 after collecting reference-input signal (noise).Two original input signals (useful signal) after the conversion and the digital signal of reference-input signal (noise) are sent into noise cancellation processing module 4, after multichannel reference signal noise cancellation module 5 carries out adaptive-filtering by the NLMS cancellation algorithms to useful signal and noise, in wave beam formation module 6, form wave beam, again the beam signal that forms is sent into DA modular converter 7, convert digital signal to analog quantity, and then by output processing module 8 outputs, reach the purpose of noise cancellation.
The present invention obtains by the channel wireless radio multi to the complex noise source signal, has improved correlation; The present invention can pass through by the Intelligence Selection useful signal, can intelligence catches and does the useful signal incident orientation, and undistorted transmission useful signal suppresses background noise, realizes noise protection; And can the automatic regulating system parameter, follow actual scene change, amplitude peak reduces background noise, realizes that best neutralization effect exchanges with speech.The present invention changes type and the parameter of the transducing part of signal input part by emat sensor more, software parameter by the FPGA hardware platform is (in employed NLMS cancellation algorithms, relevant parameter is arranged, at different occasions, different parameters is set gets final product) can be used for realizing that the engine noise of the noise reduction process in the daily life, manufacturing noise protection, motion locomotive offsets, suffers from the functions such as voice enhancing of dysaudia.
Claims (6)
1. intelligent noise protector is characterized in that: comprise signal input part (1) and FPGA hardware platform; Signal input part (1) comprises original input (9) and reference input (10); The FPGA hardware platform comprises front end pretreatment module (2), first, second synchronous AD modular converter (3,11), noise cancellation processing module (4) and output processing module (8); Original input (9) links to each other with the input of front end pretreatment module (2), and the output of front end pretreatment module (2) links to each other with the input of the first synchronous AD modular converter (3); Reference input (10) adopts communication to obtain multichannel reference-input signal, and reference input (10) links to each other with the input of the second synchronous AD modular converter (11); The output of the first synchronous AD modular converter (3) links to each other with the primary signal input of noise cancellation processing module (4), the output of the second synchronous AD modular converter (11) links to each other with the reference signal input of noise cancellation processing module (4), and the output of noise cancellation processing module (4) links to each other with output processing module (8).
2. intelligent noise protector according to claim 1 is characterized in that: described noise cancellation processing module (4) comprises that multichannel reference signal noise cancellation module (5), wave beam form module (6) and DA modular converter (7); The output of the first synchronous AD modular converter (3) links to each other with the primary signal input of multichannel reference signal noise cancellation module (5), the output of the second synchronous AD modular converter (11) links to each other with the reference signal input of multichannel reference signal noise cancellation module (5), the output of multichannel reference signal noise cancellation module (5) links to each other with the input of DA modular converter (7) after wave beam forms module (6), and the output of DA modular converter (7) links to each other with output processing module (8).
3. intelligent noise protector according to claim 2 is characterized in that: described multichannel reference signal noise cancellation module (5) employing multichannel NLMS cancellation algorithms realization noise cancellation.
4. according to claim 2 or 3 described intelligent noise protectors, it is characterized in that: described original input (9) adopts two speech transducer (14) to gather original input signal; The first synchronous AD modular converter (3) is provided with two inputs and two outputs; Multichannel reference signal noise cancellation module (5) is provided with two primary signal inputs; One of them speech transducer (14) links to each other with a primary signal input of multichannel reference signal noise cancellation module (5) with an output by an input of front end pretreatment module (2) and AD modular converter (3) successively, and another speech transducer (14) links to each other with another primary signal input of multichannel reference signal noise cancellation module (5) with another output by another input of front end pretreatment module (2) and AD modular converter (3) successively.
5. according to any described intelligent noise protector among the claim 1-3, it is characterized in that: described front end pretreatment module (2) comprises that signal amplifies, frequency band equilibrium and automatic gain are controlled this three processing sections.
6. according to any described intelligent noise protector among the claim 1-3, it is characterized in that: also comprise for receiving a plurality of noises and launching the wireless transmitter module (12) that makes reference input (10) obtain multichannel reference-input signal with wireless mode.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN2849678Y (en) * | 2005-11-10 | 2006-12-20 | 昆明物理研究所 | Adaptive digital noise reducer for fast response heat releasing electric infrared detector |
| US20100020980A1 (en) * | 2008-07-22 | 2010-01-28 | Samsung Electronics Co., Ltd | Apparatus and method for removing noise |
| CN102164328A (en) * | 2010-12-29 | 2011-08-24 | 中国科学院声学研究所 | Audio input system used in home environment based on microphone array |
| CN102859591A (en) * | 2010-04-12 | 2013-01-02 | 瑞典爱立信有限公司 | Method and arrangement for noise cancellation in a speech encoder |
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- 2013-06-26 CN CN201310260705.2A patent/CN103346844B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2849678Y (en) * | 2005-11-10 | 2006-12-20 | 昆明物理研究所 | Adaptive digital noise reducer for fast response heat releasing electric infrared detector |
| US20100020980A1 (en) * | 2008-07-22 | 2010-01-28 | Samsung Electronics Co., Ltd | Apparatus and method for removing noise |
| CN102859591A (en) * | 2010-04-12 | 2013-01-02 | 瑞典爱立信有限公司 | Method and arrangement for noise cancellation in a speech encoder |
| CN102164328A (en) * | 2010-12-29 | 2011-08-24 | 中国科学院声学研究所 | Audio input system used in home environment based on microphone array |
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Effective date of registration: 20211111 Address after: 518100 No. 918, Fuqiang building, No. 1-2, district 62, hemp community, Xixiang street, Bao'an District, Shenzhen City, Guangdong Province (office space) Patentee after: Shenzhen fengri Technology Co., Ltd Address before: 710021 No. 1, University Park, Weiyang District, Xi'an City, Shaanxi Province Patentee before: Shaanxi University of science and technology |