CN107359867A - A kind of sef-adapting filter - Google Patents
A kind of sef-adapting filter Download PDFInfo
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- CN107359867A CN107359867A CN201710539226.2A CN201710539226A CN107359867A CN 107359867 A CN107359867 A CN 107359867A CN 201710539226 A CN201710539226 A CN 201710539226A CN 107359867 A CN107359867 A CN 107359867A
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
- H03H21/00—Adaptive networks
- H03H21/0012—Digital adaptive filters
- H03H21/0043—Adaptive algorithms
Abstract
The invention discloses a kind of sef-adapting filter and method, its wave filter includes data input module, filtration module, parameter update module and control module；Data input module, filtration module, parameter update module and control module are connected on signal bus；Data input module has the data-interface for being used for receiving external data, and data input module and parameter update module are respectively provided with the clock interface for incoming clock signal；Data input module is used to gathering and storing the data received；Filtration module is used to carry out convolutional calculation to the data of storage, realizes adaptive-filtering；Parameter update module is used for after each filtering terminates the renewal for carrying out filter factor；Control module is used for the beginning or stopping for controlling adaptive-filtering process；The present invention uses digital circuit sef-adapting filter, can be very good to solve the problems, such as to realize that the adaptive-filtering cycle is long and power consumption is big using software.
Description
Technical field
The invention belongs to technical field of integrated circuits, more particularly, to a kind of sef-adapting filter.
Background technology
The manifestation mode of signal often has uncertainty, and all signals are attained by with relatively good filtering in order to reach
Effect, there has been proposed the concept of adaptive-filtering.The sixties, the U.S. B.Windrow and Hoff first proposed main application
In the adaptive filter algorithm of Stochastic signal processing, so as to establish the development of sef-adapting filter.So-called sef-adapting filter,
The results such as the acquired filter parameter of previous moment are utilized, the filter parameter of current moment are automatically regulated, to adapt to letter
Number with noise is unknown or the statistical property that changes over time, so as to realize optimal filter.
Adaptive Signal Processing is mainly that research structure is variable or adjustable system, and it can pass through itself and extraneous ring
Border is contacted to improve itself performance to signal transacting.Usual this kind of system is the nonlinear system of time-varying, can be fitted automatically
The environment of induction signal transmission and requirement, without the structure and practical intelligence for knowing signal in detail, without careful design processing system
Itself.The nonlinear characteristic of Adaptable System is mainly the adjustment for realizing inherent parameters to different signal environments by system Lai really
Fixed.The time-varying characteristics of Adaptable System are mainly to be determined by its automated response or adaptive learning process, when adaptive
When answering the process to terminate no longer to carry out with system, there is a kind of Adaptable System to turn into linear system, and referred to as linear adaption system
System, this kind of system are easy to design and be easy to Mathematical treatment, and practical application is extensive.The application field of Adaptive Signal Processing includes logical
Letter, radar, sonar, seismology, navigation system, biomedicine and Industry Control etc..
During existing sef-adapting filter is realized, due to being related to substantial amounts of loop iteration, in disappearing for time
It is all bigger in consumption and in the consumption of power.
The content of the invention
For the disadvantages described above or Improvement requirement of prior art, the invention provides a kind of sef-adapting filter, its purpose
It is the processing speed for improving sef-adapting filter, reduces the resource shared by its implementation process.
To achieve the above object, according to one aspect of the present invention, there is provided a kind of sef-adapting filter, including data are defeated
Enter module, filtration module, parameter update module and control module；
Wherein, data input module, filtration module, parameter update module and control module are connected on signal bus；
Data input module has the data-interface for being used for receiving external data, and data input module and parameter update module are respectively provided with use
In the clock interface of incoming clock signal；
Wherein, data input module is used to gathering and storing the data received；Filtration module is used for the data to storage
Convolutional calculation is carried out, realizes adaptive-filtering；Parameter update module is used to carry out filter factor more after each filtering terminates
Newly；Control module is used to control the beginning of adaptive-filtering process, stopped.
Preferably, there is built-in SRAM to store what is received for above-mentioned sef-adapting filter, its data input module
Data；In the control module by the way of finite state machine；If the data amount check of collection is N, state machine cycles operation N
It is secondary, to reduce the time of State Transferring, it can effectively reduce power consumption and the operation time of sef-adapting filter.
Preferably, above-mentioned sef-adapting filter, by data input module according to default value order and valued space
The value from SRAM (Static Random Access Memory, static RAM), by the data x (n) of taking-up
The filter factor w (n) set with parameter update module is according to formula xT(n) × w (n) is multiplied, by the filtering data of acquisition that is multiplied
It is stored in SRAM memory space.
Preferably, above-mentioned sef-adapting filter, using 1024 × 8 SRAM, to realize 8 rank filter modes.
Preferably, above-mentioned sef-adapting filter, the acquisition of each filtering data need 10 clock cycle, and therein 9
The individual clock cycle is used for fetch evidence and computing, and 1 cycle carries out data storage.
It is another aspect of this invention to provide that a kind of method of adaptive-filtering is provided based on above-mentioned sef-adapting filter,
Comprise the following steps：
S01, by the data storage received and Data expansion is carried out, to prevent stop signal data during filtering operation
There is boundary effect；
S02, data are taken out from data space according to default value length and carry out convolution algorithm with filter factor,
Obtained data are stored in the address space in data space since 0；
S03, by the use of the difference of ideal signal and a convolution signal as references object, filter factor w (n) is carried out more
Newly；
S04, by compare convolution number t and collection data volume N whether terminate to judge once completely to filter, work as t
Then terminate more than N, otherwise into step S02.
In general, by the contemplated above technical scheme of the present invention compared with prior art, due to that can obtain down
Row beneficial effect：
Sef-adapting filter provided by the invention does not need the filter factor of known fixed, can be by certainly in filtering
Learn to obtain the renewal of filter factor, reach good filter effect；The present invention is realized adaptive using the method for digital circuit
Wave filter is answered, in the control module by the way of finite state machine, reduces the time of State Transferring, then add hardware circuit sheet
The characteristics of body, it can effectively reduce power consumption and the operation time of sef-adapting filter.
Brief description of the drawings
Fig. 1 is the functional block diagram of the hardware circuit for the sef-adapting filter that embodiment provides；
Fig. 2 is the principle schematic for the sef-adapting filter that embodiment provides；
Fig. 3 is the flow chart for the adaptive filter method that embodiment provides.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.As long as in addition, technical characteristic involved in each embodiment of invention described below
Conflict can is not formed each other to be mutually combined.
Sef-adapting filter provided by the invention, the sef-adapting filter using digital circuit, is solved well
Existing adaptive-filtering is long and the problem of power consumption is big using software performance period.
The sef-adapting filter that embodiment provides, its system block diagram is as shown in figure 1, including data input module, filtering mould
Block, parameter update module and control module；Wherein, data input module, filtration module, parameter update module and control mould
Block is connected on signal bus；Data input module, which has, is used to receiving the data-interface of external data, data input module and
Parameter update module is respectively provided with the clock interface for incoming clock signal；
Wherein, data input module is used to gathering and storing the data received；
Filtration module is used to carry out convolutional calculation to the data of storage, realizes adaptive-filtering；
Parameter update module is used for after each filtering terminates the renewal for carrying out filter factor；
Control module is used to control the beginning of adaptive-filtering process, stopped；
In the present embodiment, the data received are stored in the SRAM of one 1024 × 8 built in data input module；Controlling
In molding block by the way of finite state machine, the data for starting collection are N, then state machine cycles operation n times, to reduce state
The time of conversion, it can effectively reduce power consumption and the operation time of sef-adapting filter.
The principle for the sef-adapting filter that the present embodiment provides by data input module according to default as shown in Fig. 2 taken
Value order and valued space value from SRAM；In the present embodiment, 8 data are once taken, the filtering system with parameter update module
It is multiplied after number is corresponding, obtains filtering data and be stored in corresponding SRAM memory space.
It is the flow for the method that this sef-adapting filter provided based on embodiment realizes adaptive-filtering shown in Fig. 3
Figure, this method specifically comprise the following steps：
S01, be sef-adapting filter the data initialization stage；Initial data is deposited by way of writing SRAM first
Storage in sram, is prepared for follow-up adaptive-filtering；According to the demand of reality, N number of original data are stored in；
S02, carry out Data expansion to storing initial data in sram, to prevent stop signal data filtering operation mistake
Occurs boundary effect in journey；Specific method be the read-write in appropriate address space is carried out to SRAM come complete data forward backward
Extension；
S03, carry out convolution algorithm；Because embodiment provides the sef-adapting filter of 8 ranks, each filtering data
Acquisition is all with being obtained after the corresponding convolution algorithm of filter factor progress by 8 initial data；Concrete implementation method is
Once access section is 0~7, and address is updated after data are taken and ensures that the address space that takes next time is 1~8, with
This analogizes；And ensure that take out data is alignd with corresponding filter factor using the count modes counted, and carry out convolution fortune
Calculate, obtained data are stored in the address space since 0；
The filter factor of adaptive-filtering is updated after the completion of S04, each convolution algorithm；Specifically utilize preferable letter
Number with the difference of a convolution signal as references object, filter factor is updated according to the following formula：
Wherein, d (n) is ideal signal, and x (n) is the initial data taken out, and u is step factor, and w (n) is previous filtering
Coefficient, w (n+1) are the filter factors after renewal, and e (n) is references object.
S05, by by convolution number t and collection data volume N relatively whether terminate to judge once completely to filter, when
T then terminates more than N, otherwise into step S03.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, all any modification, equivalent and improvement made within the spirit and principles of the invention etc., all should be included
Within protection scope of the present invention.
Claims (6)
- A kind of 1. sef-adapting filter, it is characterised in that including data input module, filtration module, parameter update module and Control module；The data input module, filtration module, parameter update module and control module are connected on signal bus；Data are defeated Entering module has the data-interface for being used for receiving external data, and data input module and parameter update module are respectively provided with for accessing The clock interface of clock signal；The data input module is used to gathering and storing the data received；Filtration module is used to roll up the data of storage Product calculates；Parameter update module is used for after each filtering terminates the renewal for carrying out filter factor；Control module is used to control certainly The beginning or stopping of adaptive filtering process.
- 2. sef-adapting filter as claimed in claim 1, it is characterised in that the data input module has built-in SRAM To store the data received；In the control module by the way of finite state machine, if the data amount check of collection is N, shape State machine circular flow n times, to reduce the time of State Transferring.
- 3. sef-adapting filter as claimed in claim 1 or 2, it is characterised in that taken by data input module according to default Value order and valued space value from SRAM, the filter factor w (n) that the data x (n) of taking-up and parameter update module are set According to formula xT(n) × w (n) is multiplied, and will be multiplied in the filtering data deposit SRAM obtained memory space.
- 4. sef-adapting filter as claimed in claim 3, it is characterised in that using 1024 × 8 SRAM, to realize that 8 ranks are filtered Ripple device pattern.
- 5. sef-adapting filter as claimed in claim 4, it is characterised in that the acquisition of each filtering data needs 10 clocks Cycle, 9 clock cycle therein are used for fetch evidence and computing, and 1 cycle carries out data storage.
- A kind of 6. method of adaptive-filtering, it is characterised in that comprise the following steps：S01, by the data storage received and Data expansion is carried out, occurred to prevent stop signal data during filtering operation Boundary effect；S02, data are taken out from data space according to default value length and carry out convolution algorithm with filter factor, will Address space in the data deposit data space arrived since 0；S03, by the use of the difference of ideal signal and a convolution signal as references object, filter factor w (n) is updated；S04, by compare convolution number t and collection data volume N whether terminate to judge once completely to filter, when t is more than N Then terminate, otherwise into step S02.
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Citations (4)
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| US20120284318A1 (en) * | 2011-05-02 | 2012-11-08 | Saankhya Labs Private Limited | Digital Filter Implementation for Exploiting Statistical Properties of Signal and Coefficients |
| CN103399304A (en) * | 2013-07-22 | 2013-11-20 | 西安电子科技大学 | Field programmable gate array (FPGA) implementation equipment and method for self-adaptive clutter suppression of external radiation source radar |
| CN104038181A (en) * | 2014-06-05 | 2014-09-10 | 北京航空航天大学 | Self-adapting filter construction method based on NLMS algorithm |
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2017
- 2017-07-04 CN CN201710539226.2A patent/CN107359867A/en active Pending
Patent Citations (4)
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| CN101494774A (en) * | 2008-01-23 | 2009-07-29 | 厦门华侨电子股份有限公司 | Non-compression high definition video signal wireless transmission method based on wavelet conversion characteristics |
| US20120284318A1 (en) * | 2011-05-02 | 2012-11-08 | Saankhya Labs Private Limited | Digital Filter Implementation for Exploiting Statistical Properties of Signal and Coefficients |
| CN103399304A (en) * | 2013-07-22 | 2013-11-20 | 西安电子科技大学 | Field programmable gate array (FPGA) implementation equipment and method for self-adaptive clutter suppression of external radiation source radar |
| CN104038181A (en) * | 2014-06-05 | 2014-09-10 | 北京航空航天大学 | Self-adapting filter construction method based on NLMS algorithm |
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Application publication date: 20171117 |