CN114051255B - Mobile communication signal optimization method for blind area weak area - Google Patents

Mobile communication signal optimization method for blind area weak area Download PDF

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Publication number
CN114051255B
CN114051255B CN202111346606.7A CN202111346606A CN114051255B CN 114051255 B CN114051255 B CN 114051255B CN 202111346606 A CN202111346606 A CN 202111346606A CN 114051255 B CN114051255 B CN 114051255B
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signal
base station
converter
digital
filter
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CN114051255A (en
Inventor
董天强
孙航
郝凤柱
陈思羽
张鸷
王轶群
欧新
翁敏
姚磊
赵云斌
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Guizhou Power Grid Co Ltd
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Guizhou Power Grid Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details 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
    • H04B1/02Transmitters
    • H04B1/04Circuits
    • H04B1/0475Circuits with means for limiting noise, interference or distortion
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details 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
    • H04B1/06Receivers
    • H04B1/10Means associated with receiver for limiting or suppressing noise or interference
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention discloses a mobile communication signal optimization method of a blind area weak area, which comprises the steps of sampling a base station signal and dividing the signal according to a signal power value; if the signal power value is lower than the threshold value, filtering noise in the base station signal through the adaptive filter, and then converting the denoised signal into a digital signal through the AD converter; otherwise, amplifying the base station signal through an amplifier, and then converting the amplified base station signal into a digital signal through an AD converter; dividing the frequency band of the digital signal, and inputting the divided frequency band to a DA converter for signal conversion; the invention effectively suppresses signal interference by adopting a digital filtering mode, improves the signal quality and reduces the cost.

Description

Mobile communication signal optimization method for blind area weak area
Technical Field
The invention relates to the technical field of signal optimization, in particular to a mobile communication signal optimization method for a blind area weak area.
Background
Whatever advanced wireless communication systems are, it is not possible to achieve truly seamless coverage in complex geographical environments, such as large building underground malls, tunnels, subways, airports, etc. These signal blind areas are typically not large in scope, but the need for communication still exists and even good communication coverage must be ensured, for example: when a large-scale hotel or a convention center holds a great business activity, security work cannot be efficiently executed due to too bad indoor signals, and normal operation of the activity is affected. If seamless coverage of signals cannot be achieved in the tunnel, great difficulty is brought to traffic police in duty or handling traffic accidents. Meanwhile, if the wireless signal intensity along the railway cannot meet the communication requirement, the transportation safety and the production efficiency cannot be ensured.
With the rapid development of wireless communication technology, repeater has been widely used for expanding coverage area and filling signal weak area blind area in wireless network due to its advantages of low investment, low cost, shorter construction period and better network quality. Because the receiving antennas of the repeater are often placed together (or are very close to each other), interference signals are easy to generate, if the interference signals are not effectively processed, signals after interference and expected signal superposition are sent into the power amplifier again and are amplified and forwarded, the interference signal intensity can be accumulated all the time, and finally the repeater cannot work normally, so that normal communication is hindered.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The present invention has been made in view of the above-described problems occurring in the prior art.
In order to solve the technical problems, the invention provides the following technical scheme: sampling a base station signal, and dividing the signal according to a signal power value; if the signal power value is lower than the threshold value, filtering noise in the base station signal through an adaptive filter, and then converting the denoised signal into a digital signal through an AD converter; otherwise, amplifying the base station signal through an amplifier, and then converting the amplified base station signal into a digital signal through the AD converter; the frequency band of the digital signal is divided, and the divided frequency band is input to a DA converter for signal conversion.
As a preferable scheme of the method for optimizing the mobile communication signal of the blind area weak area, the invention comprises the following steps: the dividing includes that power accumulation is carried out on each base station signal in a digital domain, the accumulated signal power value is compared with a threshold value, and if the accumulated signal power value is lower than the threshold value, the base station signal is considered to be a noise signal; and if the base station signal is higher than the threshold value, the base station signal is considered to be a normal signal.
As a preferable scheme of the method for optimizing the mobile communication signal of the blind area weak area, the invention comprises the following steps: the adaptive filter includes defining an input signal as x (n), and an output signal y (n) of the adaptive filter as:
where N is the number of base station signals, α is the filter coefficient, and η (N) is the filter weight coefficient.
As a preferable scheme of the method for optimizing the mobile communication signal of the blind area weak area, the invention comprises the following steps: the filter coefficients may be included in the set of filter coefficients,
Q xx =E{x(n)x T (n)}
P xc =G(n)
wherein Q is xx An autocorrelation matrix of x (n), P xc For the signal vector, c (n) is the desired reference signal for the output signal y (n), G (n) is the error function, and T is the transposed symbol.
As a preferable scheme of the method for optimizing the mobile communication signal of the blind area weak area, the invention comprises the following steps: the error function is expressed as:
as a preferable scheme of the method for optimizing the mobile communication signal of the blind area weak area, the invention comprises the following steps: the amplifier comprises a low noise amplifier and a power amplifier; and amplifying weak signals in the base station signals through the low-noise amplifier, and amplifying the power of the base station signals through the power amplifier.
As a preferable scheme of the method for optimizing the mobile communication signal of the blind area weak area, the invention comprises the following steps: dividing the frequency band of the digital signal comprises adding a metallized via hole on a rectangular ring near the circuit center in the Butterworth low-pass filter to design a filter, and dividing the frequency band of the digital signal by the filter; wherein, the hole spacing of the metallized via holes is set to be 0.1mm.
As a preferable scheme of the method for optimizing the mobile communication signal of the blind area weak area, the invention comprises the following steps: the DA converter comprises a 4-time interpolation filter, a numerical control oscillator and a coarse mixer; and performing three interpolation operations and two frequency mixing operations through a coarse mixer by using a 4-time interpolation filter, and then performing one fine frequency mixing operation through a numerical control oscillator to output an optimized base station signal.
The invention has the beneficial effects that: the invention effectively suppresses signal interference by adopting a digital filtering mode, improves the signal quality and reduces the cost.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is a flow chart of a method for optimizing a mobile communication signal in a blind zone weak zone according to a first embodiment of the present invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present invention have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the invention. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1
Referring to fig. 1, a first embodiment of the present invention provides a method for optimizing a mobile communication signal in a blind zone weak zone, including:
s1: and sampling the base station signal, and dividing the signal according to the signal power value.
The base station signals are sampled through the radio frequency antenna, power accumulation is carried out on each base station signal in the digital domain, and the accumulated signal power values are compared with a threshold value to divide the signals:
(1) If the signal is lower than the threshold value, the base station signal is considered as a noise signal;
(2) If the signal is higher than the threshold value, the base station signal is considered to be a normal signal.
S2: the divided different signals are processed separately.
(1) If the signal power value is lower than the threshold value, noise in the base station signal is filtered through the adaptive filter, and then the denoised signal is converted into a digital signal through the AD converter.
Defining the input signal as x (n), the output signal y (n) of the adaptive filter is:
where N is the number of base station signals, α is the filter coefficient, and η (N) is the filter weight coefficient.
Filter coefficient α:
Q xx =E{x(n)x T (n)}
P xc =G(n)
wherein Q is xx An autocorrelation matrix of x (n), P xc For the signal vector, c (n) is the desired reference signal for the output signal y (n), G (n) is the error function, and T is the transposed symbol.
The error function is expressed as:
further, the denoised signal is converted into a digital signal by the AD converter, and the AD converter of the embodiment is ADs5411, and the working principle thereof is as follows: the two analog input ends (A and AN) firstly enter the first sampling retainers TH1 and TH1 after being buffered, the values are used as the input of a first 5-bit AD converter and a second sampler TH2, the output of the AD converter drives AN 11-bit-precision DA converter, the input analog signals are subtracted from the output of the DA converter, and a residual signal is generated and sent to the TH3 sampling retainers and the output of the second analog-to-digital converter AD2, and the output of the AD2 drives 10-bit-precision DA2; the output of DA2 is subtracted from the analog residual signal in TH3 to obtain a second residual signal, and the second residual signal is sent to a third analog-to-digital converter AD3 to drive 6-bit analog-to-digital conversion; finally, the output results of the three AD converters are transmitted to a digital error correction logic together, and the final 11-bit analog-to-digital conversion result is output.
(2) Otherwise, amplifying the base station signal through an amplifier, and then converting the amplified base station signal into a digital signal through an AD converter;
the amplifier comprises a low noise amplifier and a power amplifier; the method comprises the steps of amplifying weak signals in base station signals through a low-noise amplifier, amplifying the power of the base station signals through a power amplifier, and finally converting the amplified base station signals into digital signals through an AD converter.
S3: the frequency band of the digital signal is divided, and the divided frequency band is input to a DA converter for signal conversion.
Adding a metallized via hole on a rectangular ring on one side close to the center of a circuit in the Butterworth low-pass filter to design a filter, and dividing the frequency band of the digital signal through the filter; wherein, the hole spacing of the metallized via holes is set to be 0.1mm.
The DA converter comprises a 4-time interpolation filter, a numerical control oscillator and a coarse mixer; and performing three interpolation operations and two frequency mixing operations through a coarse mixer by using a 4-time interpolation filter, and then performing one fine frequency mixing operation through a numerical control oscillator to output an optimized base station signal.
Example 2
In order to verify and explain the technical effects adopted in the method, the embodiment selects the traditional technical scheme and adopts the method to carry out comparison test, and the test results are compared by means of scientific demonstration so as to verify the true effects of the method.
The traditional technical scheme is difficult to suppress noise, can not amplify signals in a targeted manner, and has poor communication effect.
In order to verify that the method has higher noise suppression performance and signal power amplification performance compared with the traditional technical scheme, the traditional technical scheme and the method are adopted in the embodiment to respectively carry out synchronous optimization comparison on the acquired base station signals.
The base station signals are collected through the radio frequency antenna, the sampling frequency is 1KHz, and the signals are optimized through the traditional technical scheme and the method, and the results are shown in the following table.
Table 1: and optimizing the result of the base station signal.
Conventional technical proposal The method
Pre-filter power spectrum -62W/Hz -62W/Hz
Post-filter power spectrum -91W/Hz -100W/Hz
Amplitude of signal before amplification 7dB 7dB
Amplified signal amplitude 9dB 12dB
From the table, the method can effectively inhibit the noise of the base station signal, and the amplification performance is obviously improved.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.

Claims (3)

1. A mobile communication signal optimization method for a blind zone weak zone is characterized by comprising the following steps: comprising the steps of (a) a step of,
s1, sampling a base station signal, and dividing the signal according to a signal power value;
s2, (1) if the signal power value is lower than a threshold value, filtering noise in a base station signal through an adaptive filter, and then converting the denoised signal into a digital signal through an AD converter;
the adaptive filter may comprise a filter that is configured to filter,
defining the input signal as x (n), the output signal y (n) of the adaptive filter is:
wherein N is the number of base station signals, alpha is a filter coefficient, and eta (N) is a filter weight coefficient;
the filter coefficients may be included in the set of filter coefficients,
Q xx =E{x(n)x T (n)}
P xc =G(n)
wherein Q is xx An autocorrelation matrix of x (n), P xc For signal vectors, c (n) is the desired reference signal of the output signal y (n), G (n) is the error function, and T is the transposed symbol;
the error function is expressed as:
the method comprises the steps that a denoised signal is converted into a digital signal through an AD converter, wherein two analog inputs are buffered and then enter a first sampling holder TH1, a value held in the sampling holder TH1 is used as the input of a first 5-bit AD1 converter and a second sampling holder TH2, the output of the AD1 converter drives an 11-bit-precision DA1 converter, the analog signal input into the sampling holder TH2 is subtracted from the output of the DA1 converter, a residual signal is generated and sent to the sampling holder TH3 and a second analog-to-digital converter AD2, and the output of the analog-to-digital converter AD2 drives a 10-bit-precision DA2 converter;
the output of the DA2 converter is subtracted from the analog residual signal in the sampling holder TH3 to obtain a second residual signal, and the second residual signal is sent to a third analog-to-digital converter AD3 to drive 6-bit analog-to-digital conversion;
finally, the output results of the three AD converters are transmitted to a digital error correction logic together, and a final 11-bit analog-to-digital conversion result is output;
(2) Otherwise, amplifying the base station signal through an amplifier, and then converting the amplified base station signal into a digital signal through the AD converter;
s3, dividing the frequency band of the digital signal, and inputting the divided frequency band into a DA converter for signal conversion;
the DA converter comprises a 4-time interpolation filter, a numerical control oscillator and a coarse mixer;
performing three interpolation operations and two frequency mixing operations through a coarse mixer by using a 4-time interpolation filter, and then performing one fine frequency mixing operation through a numerical control oscillator to output an optimized base station signal;
the frequency bands of the divided digital signal include,
adding a metallized via hole on a rectangular ring on one side close to the center of a circuit in the Butterworth low-pass filter to design a filter, and dividing the frequency band of the digital signal through the filter;
wherein, the hole spacing of the metallized via holes is set to be 0.1mm.
2. The method for optimizing a mobile communication signal in a blind zone weak zone according to claim 1, wherein: the division may include a division of the number of the cells,
performing power accumulation on each base station signal in a digital domain, comparing the accumulated signal power value with a threshold value, and if the accumulated signal power value is lower than the threshold value, determining the base station signal as a noise signal;
and if the base station signal is higher than the threshold value, the base station signal is considered to be a normal signal.
3. The method for optimizing a mobile communication signal in a blind zone weak zone according to claim 2, wherein: the amplifier comprises a low noise amplifier and a power amplifier;
and amplifying weak signals in the base station signals through the low-noise amplifier, and amplifying the power of the base station signals through the power amplifier.
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CN108604980A (en) * 2016-03-11 2018-09-28 英特尔Ip公司 Device and method for compensating phase fluctuation
CN113422616A (en) * 2021-08-23 2021-09-21 南京志杰通信技术有限公司 Communication method and system based on filter

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JP2008199209A (en) * 2007-02-09 2008-08-28 Matsushita Electric Ind Co Ltd Radio receiving apparatus

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101547037A (en) * 2008-03-25 2009-09-30 京信通信系统(中国)有限公司 GSM digital wireless repeater and method for shutting off time slot of uplink carrier wave
CN101977426A (en) * 2010-10-26 2011-02-16 三维通信股份有限公司 Method for reducing uplink noise of GSM (Global System for Mobile Communications) digital repeater
CN103067317A (en) * 2012-12-24 2013-04-24 京信通信系统(中国)有限公司 Method, equipment and system used for carrying out noise suppression on upstream signal
CN108604980A (en) * 2016-03-11 2018-09-28 英特尔Ip公司 Device and method for compensating phase fluctuation
CN107343255A (en) * 2016-04-28 2017-11-10 欧姆龙株式会社 Interactive communication device, the system and program for possessing interactive communication device
CN113422616A (en) * 2021-08-23 2021-09-21 南京志杰通信技术有限公司 Communication method and system based on filter

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