CN105743529A - Method for resisting to mobile phone radio frequency interference - Google Patents
Method for resisting to mobile phone radio frequency interference Download PDFInfo
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- CN105743529A CN105743529A CN201610162119.8A CN201610162119A CN105743529A CN 105743529 A CN105743529 A CN 105743529A CN 201610162119 A CN201610162119 A CN 201610162119A CN 105743529 A CN105743529 A CN 105743529A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/38—Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
- H04B1/3827—Portable transceivers
- H04B1/3833—Hand-held transceivers
- H04B1/3838—Arrangements for reducing RF exposure to the user, e.g. by changing the shape of the transceiver while in use
Abstract
The present invention discloses a method for resisting to mobile phone radio frequency interference. The method comprises the following steps: 101. reading new data in, obtaining a difference between the new data and last valid data, and comparing the difference with a preset noise threshold; 102. storing the new data in a big signal data sequence, and obtaining a difference between the new data and data in a last big signal data sequence; 103. updating the new data into a valid data sequence, and outputting the valid data sequence; and 104. discarding the new data, outputting an original valid data sequence, and ending determination on current data. The method disclosed by the present invention can suppress a radio frequency signal from a mobile phone in a targeted manner, especially interference from a GSM radio frequency signal, can be implemented by just using software, does not increase costs, and does not affect a data refresh rate.
Description
Technical field
The invention belongs to jamproof technical field, particularly to a kind of anti-interference method for mobile phone GSM signal.
Background technology
Universal along with smart mobile phone, mobile phone interference is ubiquitous, after particularly Intelligent hardware rises, increasing hardware device needs and mobile phone come with the use of, thus the chance being interfered is also bigger.The equipment of high-acruracy survey function is had, for instance daily sphygomanometer more typically, weighing apparatus etc., mobile phone serious interference affects its certainty of measurement, it is therefore desirable to carry out the design of anti-mobile phone interference for some.
Traditional Anti-interference Design generally is directed to the Radio frequency interference of wide spectrum, and counter-measure includes hardware and software two major parts, hardware such as increases RC low pass filter, is filtered by high-frequency interferencing signal；On software, it is also adopted by increasing the methods such as low pass filter, notch filter, medium filtering, rejecting maximin.The Radio frequency interference of high frequency can be played good inhibition by above means, but above means, according to hardware approach, then easily increase cost；Adopt software approach, then may result in the refresh rate of measurement data and decline；And specific mobile phone signal is disturbed, particularly the inhibition of GSM signal disturbing is not good.Referring to accompanying drawing 1, it is shown that for Filtering Processing flow process general at present, step S001 carries out medium filtering process in step S002 after reading in new data, then carries out moving average (being equivalent to low-pass filtering) in step S003, and down-sampled after export virtual value.No matter it is medium filtering or sliding frequency filtering, relatively big for amplitude, and its filter effect of long-term interference is all very poor.
As patent application 201410206596.0 discloses a kind of anti-interference realization method with multi-radio device, including: on described mainboard, fixedly mount a metal holder vertically placed, to be separated with GPS module, WIFI module, bluetooth module, FM module, mobile communication module and NFC module by a plurality of gsm modules；Metal shell is adopted to be coated with LCD display；Described GPS module, WIFI module, bluetooth module, FM module and mobile communication module are respectively adopted independent radome and carry out shielding processing；Adopt shielding material by the catch cropping shielding processing of the NFC antenna of described NFC module Yu described mainboard；Control device by a PID and automatically control the transmitting power adjusting described GPS module, WIFI module, bluetooth module, FM module, mobile communication module, NFC module and a plurality of gsm module.This patent application is the interference problem that the method by shielding solves between multiple radio-frequency modules, and multiple shielding construction of need to sampling comprises for multiple radio-frequency modules, considerably increases the cost of hardware.
Summary of the invention
For solving the problems referred to above, the method that it is an object of the invention to provide the interference of a kind of anti-mobile phone radio frequency, the method can effectively suppress the Radio frequency interference from mobile phone, and does not increase hardware cost, does not affect the refresh rate of measurement data.
In order to realize object above, the present invention provides a kind of method that anti-mobile phone radio frequency disturbs, and it is as follows that the method comprising the steps of:
101, read in new data, and carry out asking difference process with the last valid data, difference and a default noise threshold are compared；If difference is less than or equal to this noise threshold, then this new data is valid data, jumps to step 103, and otherwise these data are not valid data；
102, new data is stored in big signal data sequence, and is undertaken asking difference process by the data of this new data and the last big signal data sequence；If this difference is less than or equal to above-mentioned noise threshold, then duration count value adds 1, otherwise time counting clear 0；As the duration threshold value N that duration count value is predetermined more than, it is determined that this new data is valid data, otherwise jumps to 104；
103, updating new data into valid data sequence, and export valid data sequence, big signal data sequence empties, duration count value clear 0, terminates the judgement to current data；
104, new data is given up, export original valid data sequence, terminate the judgement to current data.
Specifically rate-determining steps is:
Step S101: read in a new measurement data, and subtract each other with up-to-date virtual value, try to achieve difference, namely the noise of data；
Step S102: whether compare this noise less than P-P noise, if then entering step S107, otherwise enters step S104；P-P noise refers to the maximum noise value of the data sequence of measurement；
Step S103: judge that new data is not temporarily valid data, therefore send into big signal data sequence；
Step S104: undertaken asking difference to process by the new data of big signal data sequence and time new data, compare difference and the relation of noise threshold P-P noise；If this difference is less than P-P noise, then big signal stabilization duration count value LSNum is added 1, otherwise LSNum=0；
Step S105: judge that whether LSNum is more than default duration count threshold N；If so, step S107 is then jumped to；Otherwise continue step S106；
Step S106: do not update valid data sequence, jump to S108；
Step S107: judge that new data is as valid data, by its more newly entering valid data sequence；Big signal data sequence is emptied, duration count value LSNum clear 0；Jump to step S108；
Step S108: Conventional processing steps, carries out medium filtering process to valid data sequence；
Step S109: carry out moving average and down-sampled process；
Step S110: the valid data after output processing；When previous new data is disposed, enter next record new data and process circulation.
The present invention is by above-mentioned method, it is achieved anti-mobile phone radio frequency disturbs, it is possible to suppresses targetedly from mobile phone radio frequency signal, the interference of special GSM radiofrequency signal, and can realize only by software, does not increase cost, do not affect Refresh Data rate.
Accompanying drawing explanation
Fig. 1 is the flow chart that prior art is implemented.
Fig. 2 is the control flow chart that the present invention implements.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein is only in order to explain the present invention, is not intended to limit the present invention.
Refer to shown in Fig. 2, the method for this anti-mobile phone radio frequency interference is primarily with respect to whether new data is that valid data judge, if valid data, then exports these data as up-to-date measured value；Otherwise give up, retain last data as current measurement value.
Concrete rate-determining steps is:
Step S101: read in a new measurement data, and subtract each other with up-to-date virtual value, try to achieve difference, namely the noise of data.
Step S102: whether compare this noise less than P-P noise.If then entering step S107, otherwise enter step S104；P-P noise refers to the maximum noise value of the data sequence of measurement, it is considered that be 6.6 times of effective noise value RMS noise, and time actually used, P-P noise can take the value that 6.6 times of RMS noises of a ratio are bigger.P-P noise is a default noise threshold relevant according to measurement data sequence self attributes in a word.When this value sets too much, the effect of the anti-mobile phone radio frequency interference of whole method can decline；If but this value is made too small, it is likely that lose useful data.
Step S103: judge that new data is not temporarily valid data, therefore send into big signal data sequence.
Step S104: undertaken asking difference to process by the new data of big signal data sequence and time new data, compare difference and the relation of noise threshold P-P noise；If this difference is less than P-P noise, then big signal stabilization duration count value LSNum is added 1, otherwise LSNum=0.
Step S105: judge that whether LSNum is more than default duration count threshold N；If so, step S107 is then jumped to；Otherwise continue step S106.
Step S106: do not update valid data sequence, jump to S108.
Step S107: judge that new data is as valid data, by its more newly entering valid data sequence；Big signal data sequence is emptied, duration count value LSNum clear 0；Jump to step S108.
Step S108: Conventional processing steps, carries out medium filtering process to valid data sequence.
Step S109: carry out moving average and down-sampled process.
Step S110: the valid data after output processing；When previous new data is disposed, enter next record new data and process circulation.
The method of the present invention, just can realize the interference of anti-mobile phone radio frequency, it is possible to suppress targetedly, from mobile phone radio frequency signal, the interference of special GSM radiofrequency signal, not increase cost, do not affect Refresh Data rate only by software.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all any amendment, equivalent replacement and improvement etc. made within the spirit and principles in the present invention, should be included within protection scope of the present invention.
Claims (2)
1. a method for anti-mobile phone radio frequency interference, it is as follows that the method comprising the steps of:
101, read in new data, and carry out asking difference process with the last valid data, difference and a default noise threshold are compared；If difference is less than or equal to this noise threshold, then this new data is valid data, jumps to step 103, and otherwise these data are not valid data；
102, new data is stored in big signal data sequence, and is undertaken asking difference process by the data of this new data and the last big signal data sequence；If this difference is less than or equal to above-mentioned noise threshold, then duration count value adds 1, otherwise time counting clear 0；As the duration threshold value N that duration count value is predetermined more than, it is determined that this new data is valid data, otherwise jumps to 104；
103, updating new data into valid data sequence, and export valid data sequence, big signal data sequence empties, duration count value clear 0, terminates the judgement to current data；
104, new data is given up, export original valid data sequence, terminate the judgement to current data.
2. the method for anti-mobile phone radio frequency as claimed in claim 1 interference, it is characterised in that the method specifically rate-determining steps is:
Step S101: read in a new measurement data, and subtract each other with up-to-date virtual value, try to achieve difference, namely the noise of data；
Step S102: whether compare this noise less than P-P noise, if then entering step S107, otherwise enters step S104；P-P noise refers to the maximum noise value of the data sequence of measurement；
Step S103: judge that new data is not temporarily valid data, therefore send into big signal data sequence；
Step S104: undertaken asking difference to process by the new data of big signal data sequence and time new data, compare difference and the relation of noise threshold P-P noise；If this difference is less than P-P noise, then big signal stabilization duration count value LSNum is added 1, otherwise LSNum=0；
Step S105: judge that whether LSNum is more than default duration count threshold N；If so, step S107 is then jumped to；Otherwise continue step S106；
Step S106: do not update valid data sequence, jump to S108；
Step S107: judge that new data is as valid data, by its more newly entering valid data sequence；Big signal data sequence is emptied, duration count value LSNum clear 0；Jump to step S108；
Step S108: Conventional processing steps, carries out medium filtering process to valid data sequence；
Step S109: carry out moving average and down-sampled process；
Step S110: the valid data after output processing；When previous new data is disposed, enter next record new data and process circulation.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5440597A (en) * | 1993-11-23 | 1995-08-08 | Nokia Mobile Phones Ltd. | Double dwell maximum likelihood acquisition system with continuous decision making for CDMA and direct spread spectrum system |
| US20040174943A1 (en) * | 2002-01-02 | 2004-09-09 | Sirf Technology, Inc. | Narrowband noise mitigation in location-determining signal processing |
| CN103475428A (en) * | 2012-06-07 | 2013-12-25 | 陕西汉唐惠通通讯设备有限公司 | Processing method for preventing mobile phone signal interference in infrared human body detection |
| CN103685091A (en) * | 2012-08-28 | 2014-03-26 | 英特尔移动通信有限责任公司 | Interference and noise estimation of communications channel |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5440597A (en) * | 1993-11-23 | 1995-08-08 | Nokia Mobile Phones Ltd. | Double dwell maximum likelihood acquisition system with continuous decision making for CDMA and direct spread spectrum system |
| US20040174943A1 (en) * | 2002-01-02 | 2004-09-09 | Sirf Technology, Inc. | Narrowband noise mitigation in location-determining signal processing |
| CN103475428A (en) * | 2012-06-07 | 2013-12-25 | 陕西汉唐惠通通讯设备有限公司 | Processing method for preventing mobile phone signal interference in infrared human body detection |
| CN103685091A (en) * | 2012-08-28 | 2014-03-26 | 英特尔移动通信有限责任公司 | Interference and noise estimation of communications channel |
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