CN115842568B - Interference-free communication method and narrow-band wireless communication chip - Google Patents
Interference-free communication method and narrow-band wireless communication chip Download PDFInfo
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Abstract
The invention belongs to the technical field of information communication, and provides a de-interference communication method and a narrow-band wireless communication chip. The method comprises the following steps: receiving a signal to be processed, and preprocessing the signal to be processed to obtain a digital signal corresponding to the signal to be processed; performing spectrum analysis on the digital signal to determine a signal bandwidth between a maximum signal frequency value and a minimum signal frequency value after spectrum analysis; based on the determined signal bandwidth, performing broadband noise interference judgment and in-band noise interference judgment to perform interference elimination processing; and outputting the signal subjected to interference removal processing. The invention can realize the effective identification of broadband noise interference and in-band spurious interference, can adopt frequency hopping anti-interference aiming at broadband noise, and has the advantages of simple engineering realization and lower complexity; the method can adopt refined filtering aiming at narrow-band interference such as in-band spurious and the like, and has the advantages of simple engineering realization and no influence on signal reception.
Description
Technical Field
The invention relates to the technical field of information communication, in particular to a de-interference communication method and a narrow-band wireless communication chip.
Background
The construction of the emergency rescue capability for strengthening normalization is an objective requirement for coping with natural disasters, and the development of intelligent emergency rescue equipment is an important way for improving rescue efficiency and guaranteeing life safety of rescue workers and trapped workers in rescue of major natural disasters and artificial accidents.
The intelligent emergency rescue equipment mainly comprises a plurality of types of space-based, air-based, land, wearing and the like, and the equipment is transmitted through wireless communication to form an air-space-ground integrated emergency rescue system. The intelligent emergency rescue equipment has the characteristics of intelligence, digitization, precision and the like by intelligently enabling the traditional emergency rescue equipment, and provides information guidance for emergency rescue actions by collecting information of victims and utilizing a wireless transmission network for positioning and tracking, so that the time of emergency rescue is greatly shortened, and the requirements of 'quick, accurate and efficient' of the emergency rescue actions are further met.
Although intelligent emergency rescue equipment has the advantage of quick and efficient rescue, there are still some problems or disadvantages:
(1) The environment electromagnetic signals used by the intelligent emergency rescue equipment are complex, and various intentional and unintentional external electromagnetic interferences are filled. The influence of broadband noise interference is most prominent, the bandwidth of the interference signal is wider and is close to or the same as the frequency of a received signal, the signal strength is very high, and the normal reception of the distress signal is seriously influenced;
(2) The intelligent emergency rescue terminal based on wireless transmission is highly integrated, various electromagnetic interferences are generated in the equipment due to electromagnetic leakage equivalent, wherein the generated in-band spurious is most typical, and the receiving performance of the system is also seriously affected;
(3) The current anti-interference measures are realized by adding anti-interference modules, the modules are generally complex, the volume and the power consumption of the original equipment are increased, and the continuous working time and the portability of the equipment are affected.
Therefore, it is necessary to provide a method of interference-free communication to solve the above-mentioned problems.
Disclosure of Invention
The invention aims to provide a de-interference communication method and a narrow-band wireless communication chip, which are used for solving the technical problems that broadband noise interference, in-band noise interference, signal receiving problems caused by in-band noise interference cannot be removed, and the size, power consumption and the like of original equipment can be increased by additionally arranging an anti-interference module for anti-interference treatment. The technical problems to be solved by the invention are realized by the following technical scheme.
The first aspect of the present invention proposes a method for interference-free communication, comprising: receiving a signal to be processed, and preprocessing the signal to be processed to obtain a digital signal corresponding to the signal to be processed; performing spectrum analysis on the digital signal to determine a signal bandwidth between a maximum signal frequency value and a minimum signal frequency value after spectrum analysis; based on the determined signal bandwidth, performing broadband noise interference judgment and in-band noise interference judgment to perform interference elimination processing; and outputting the signal subjected to interference removal processing.
According to an alternative embodiment, the performing spectrum analysis on the digital signal to determine a signal bandwidth between a maximum signal frequency and a minimum signal frequency after spectrum analysis includes:
carrying out window FFT processing on the digital signal to obtain a frequency domain signal of the digital signal, and obtaining the following power spectrum function of the frequency domain signal:
wherein P (k) is a power spectrum function of a digital signal, the unit is W/Hz, and k is a positive integer; n is the number of sampling points for FFT (fast Fourier transform) processing;
a frequency domain signal which is a digital signal, the unit is V, and the expression is
Wherein k is a positive integer from i to N; the digital signal is a digital signal which is discrete in time and quantized in amplitude, and n is a positive integer; n is the sampling point number for fast Fourier transformation;
the unit is Hz; i is positive integerThe number j is a complex symbol; s is sampling time, and the unit is s;
and calculating the signal bandwidth between the signal frequency maximum value and the signal frequency minimum value of the frequency domain signal based on the power spectrum function.
According to an alternative embodiment, wideband noise interference judgment is performed on the frequency domain signal after spectrum analysis to determine whether wideband noise interference exists; and under the condition that broadband noise interference judgment is carried out and the fact that broadband noise interference does not exist is determined, carrying out in-band noise interference judgment on the frequency domain signal after spectrum analysis so as to determine whether in-band spurious interference exists.
According to an alternative embodiment, the determining whether wideband noise interference exists includes: comparing the calculated signal bandwidth with a preset threshold, wherein when the signal bandwidth is larger than or equal to a first preset threshold, broadband noise interference is determined to exist; and when the signal bandwidth is smaller than a first preset threshold value, determining that broadband noise interference does not exist.
According to an alternative embodiment, in case it is determined that wideband noise interference is present, the frequency of the digital signal is changed by means of a frequency hopping process to remove signal interference.
According to an alternative embodiment, the determining the in-band noise interference of the frequency domain signal after the spectrum analysis to determine whether there is in-band spurious interference includes:
the power spectral entropy H of the frequency domain signal is calculated using the following expression:
wherein H is the power spectrum entropy of the frequency domain signal;
wherein p (k) is a power spectrum function of a digital signal, the unit is W/Hz, and k is a positive integer; n is the number of sampling points for FFT (fast Fourier transform) processing;
and comparing the calculated power spectrum entropy H with a second preset threshold value to determine whether in-band spurious interference exists.
According to an alternative embodiment, when the power spectrum entropy H is greater than or equal to the second preset threshold, determining that in-band spurious interference exists; and when the power spectrum entropy H is smaller than the second preset threshold value, determining that no in-band spurious interference exists.
According to an alternative embodiment, when it is determined that in-band spurious interference exists, narrowband filtering processing is performed; and when it is determined that the in-band spurious interference does not exist, entering a step of outputting a signal.
According to an alternative embodiment, the preprocessing the signal to be processed includes: and amplifying the signal to be processed by adopting a low-noise amplifier, processing for improving second-order harmonic waves, and outputting quantized digital signals through AD conversion.
A second aspect of the present invention provides a narrowband wireless communication chip comprising:
the first chip is used for receiving a signal to be processed and preprocessing the signal to be processed; the second chip is packaged with the first chip and is used for carrying out spectrum analysis and interference judgment on the preprocessed signal to be processed; and the narrowband wireless communication chip adopts the communication method of the first aspect of the invention to carry out signal transmission.
The invention has the beneficial effects that:
compared with the prior art, the interference elimination communication method can accurately determine broadband noise interference and in-band noise interference by carrying out interference identification judgment on the digital signals after spectrum analysis, can accurately remove the broadband noise interference and the in-band noise interference, can adopt frequency hopping anti-interference aiming at the broadband noise, has the advantages of simple engineering realization and lower complexity, can adopt fine filtering aiming at narrow-band interference such as in-band spurious and the like, has the advantages of simple engineering realization and no influence on signal reception, and can effectively avoid the signal transmission problem caused by the broadband noise interference and the in-band noise interference.
In addition, by repeatedly performing the determination of the wideband noise interference to determine the wideband noise interference, the wideband noise interference can be more accurately identified and determined, and the wideband noise interference can be more accurately removed, so that the signal transmission problem caused by the wideband noise interference can be effectively avoided.
In addition, the method of the invention has wide application, can be realized on the basis of a chip or in the chip, can greatly reduce the size, weight and power consumption of equipment needing to remove interference communication, and can realize higher quality signal transmission while realizing more convenient size of the equipment.
Drawings
FIG. 1 is a flow chart of steps of an example of a method of de-interference communication of the present invention;
FIG. 2 is a flow chart of an embodiment of a method of de-interference communication according to the present invention;
FIG. 3 is a flow chart of another embodiment of the method of de-interference communication of the present invention;
FIG. 4 is a flow chart of steps of another example of a method of de-interference communication of the present invention;
FIG. 5 is a schematic diagram of an example of a signal time domain waveform in the absence of noise interference;
FIG. 6 is a schematic diagram of an example of a received signal waveform in the presence of wideband noise interference and in-band spurious interference;
FIG. 7 is a schematic diagram of an example of signal waveforms after noise interference removal using the communication method of the present invention;
fig. 8 is a schematic structural view of another example of a narrowband wireless communication chip according to the invention.
Detailed Description
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
In view of the above problems, the present invention provides a method for interference-free communication, which can accurately determine wideband noise interference and in-band noise interference by performing interference identification judgment on a digital signal after spectrum analysis, can accurately remove wideband noise interference and in-band noise interference, can use frequency hopping to resist interference for wideband noise, has the advantages of simple engineering implementation and lower complexity, can use refined filtering for narrowband interference such as in-band spurious, has the advantages of simple engineering implementation and no influence on signal reception, and can effectively avoid signal transmission problems caused by wideband noise interference and in-band noise interference.
The following describes the present invention in detail with reference to fig. 1 to 7.
Fig. 1 is a flow chart of steps of an example of a method of interference-free communication of the present invention.
The communication method of the present invention will be specifically described below with reference to fig. 1 in conjunction with an example.
First, in step S101, a signal to be processed is received, and the signal to be processed is preprocessed, so as to obtain a digital signal corresponding to the signal to be processed.
In an alternative embodiment, the signal to be processed is received, for example using a narrowband wireless communication chip, and is preprocessed. Specifically, for a received signal to be processed (for example, a radio frequency signal), the signal to be processed is amplified by a low noise amplifier, then a second harmonic is improved by differential conversion, then an in-phase quadrature signal is output after being changed to an intermediate frequency, and then a digital signal which is discrete in time and quantized in amplitude is output by AD conversion (i.e., analog-to-digital conversion) for the next processing.
Specifically, the signal to be processed is, for example, a linear frequency hopping signal, and is expressed using the following expression:
wherein s (t) is a linear frequency hopping signal;
is the envelope of the signal, T is the pulse width, and the unit is us; />
Is the frequency modulation slope; b is the signal bandwidth in Hz,>
is the carrier frequency of the signal, in Hz.
It should be noted that the foregoing is merely illustrative of the present invention and is not to be construed as limiting thereof.
Next, in step S102, spectrum analysis is performed on the digital signal to determine a signal bandwidth between a maximum signal frequency value and a minimum signal frequency value after the spectrum analysis.
The digital signal obtained by the processing in step S102 is subjected to spectrum analysis. The received signal is subjected to spectral analysis, for example, using a chip (i.e., MCU chip) integrated with a control unit, wherein the chip has an FFT function integrated therein.
Specifically, the digital signal is subjected to windowed FFT (fast fourier transform) processing, so as to obtain a frequency domain signal of the digital signal, and the following power spectrum function (also simply referred to as a power spectrum) of the frequency domain signal is obtained:
wherein P (k) is a power spectrum function of a digital signal, the unit is W/Hz, and k is a positive integer; n is the number of sampling points for FFT (fast Fourier transform) processing;
the frequency domain signal is a digital signal, the unit is V, and the expression is as follows:
wherein k is a positive integer from i to N;
the digital signal is a digital signal which is discrete in time and quantized in amplitude, and n is a positive integer; n is the sampling point number for fast Fourier transformation; />
The unit is Hz; i is a positive integer, j is a complex symbol; s is the sampling time, in s.
And calculating a signal bandwidth between a signal frequency maximum value and a signal frequency minimum value of the frequency domain signal based on the power spectrum function, and using the signal bandwidth as a judgment parameter to determine noise interference.
Specifically, according to the power spectrum function, calculating the signal bandwidth of the frequency domain signal corresponding to the digital signal, specifically by calculating the difference between the maximum amplitude of the signal and the abscissa (frequency value) corresponding to the minimum amplitude of the signal, namely the signal bandwidth
。
It should be noted that the foregoing is merely illustrative of the present invention and is not to be construed as limiting thereof.
Next, in step S103, wideband noise interference determination and in-band noise interference determination are performed based on the determined signal bandwidth to perform interference cancellation processing.
Specifically, wideband noise interference judgment and in-band noise interference judgment are performed on the digital signal after spectrum analysis to determine to perform interference elimination processing.
In an alternative embodiment, as shown in fig. 2, the wideband noise interference determination and the in-band noise interference determination are not performed simultaneously on the digital signal after the spectrum analysis to determine whether noise interference exists.
Specifically, in the case where wideband noise interference determination is made and it is determined that wideband noise interference (also referred to as wideband interference) is not present, in-band noise interference determination is made on the digital signal after spectrum analysis to determine whether in-band spurious interference is present.
First, determining whether broadband noise interference exists, and calculating the signal bandwidth B of the signal to be processed s And comparing the broadband noise interference with a preset threshold value to determine whether broadband noise interference exists.
When the signal bandwidth is greater than or equal to a first preset threshold value, determining that the signal bandwidth existsWideband noise interference. Namely when B s ≥B 0 The noise interference is considered to be wideband noise interference. And when the signal bandwidth is less than a first preset threshold, B s <B 0 It is determined that wideband noise interference is not present.
The first preset threshold B 0 According to the actual situation, can also be according to 0.1 xf 0 Determining f 0 Is the carrier frequency of the signal, in Hz.
Accordingly, in the case where it is determined that wideband noise interference exists, for example, by performing a frequency hopping process or the like, specifically by changing the frequency of signal transmission, the frequency of the signal to be processed (here, the frequency domain signal) is changed to remove the signal interference.
The digital signal after spectrum analysis is subjected to broadband noise interference judgment, frequency hopping anti-interference can be adopted aiming at broadband noise, the method has the advantages of simplicity in engineering realization and lower complexity, broadband noise interference can be accurately determined, the broadband noise interference can be accurately removed, and further the signal transmission problem caused by the broadband noise interference can be effectively avoided.
In the case where it is determined that wideband noise interference is not present (i.e., in the case where wideband noise interference determination is made and it is determined that wideband noise interference is not present), an in-band noise interference determination is made to determine whether in-band spurious interference is present.
Specifically, in-band noise interference judgment is performed on the frequency domain signal after spectrum analysis to determine whether in-band spurious interference exists.
The power spectral entropy H of the frequency domain signal is calculated using the following expression:
wherein H is the power spectrum entropy of the frequency domain signal;
wherein p (k) is a power spectrum function of the digital signal, the unit is W/Hz, and k is positiveAn integer; n is the number of sampling points for FFT (fast fourier transform) processing.
The calculated power spectral entropy H is compared with a second preset threshold to determine if in-band spurious interference (i.e., in-band spurious noise interference) is present. Wherein the second preset threshold H 0 Is a threshold value determined according to actual conditions.
In an embodiment, when the power spectrum entropy H is greater than or equal to the second preset threshold H 0 Time (H is more than or equal to H) 0 ) Determining that in-band spurious interference exists;
in another embodiment, when the power spectral entropy H is less than the second preset threshold H 0 Time (i.e. H<H 0 ) It is determined that no in-band spurious interference is present. In the case where it is determined that there is no in-band spurious interference, the process proceeds directly to the next processing procedure (i.e., the step of outputting a signal), that is, step S104.
And for removing the in-band spurious interference, when the in-band spurious interference is determined to exist, carrying out narrow-band filtering processing, and removing the in-band spurious interference through the narrow-band filtering processing.
After the in-band spurious interference is removed, the next processing procedure is entered, step S104.
The digital signal after spectrum analysis is subjected to in-band noise interference judgment, fine filtering can be adopted for narrow-band interference such as in-band spurious, the method has the advantages of being simple in engineering realization and not affecting signal reception, in-band spurious noise interference can be accurately determined, in-band spurious noise interference can be accurately removed, and further the signal transmission problem caused by in-band spurious noise interference can be effectively avoided.
In another alternative embodiment, as shown in fig. 3, wideband noise interference determination and in-band noise interference determination are performed on the digital signal after spectrum analysis to determine whether noise interference exists.
In case it is determined that there is no wideband noise disturbance and no in-band spurious noise disturbance (i.e., in case of no noise disturbance), the process proceeds directly to the next process (i.e., step S104: step of signal output).
And removing the broadband noise interference by frequency hopping under the condition that the broadband noise interference is determined to exist.
In the case that it is determined that in-band spurious interference exists, the in-band spurious interference is removed by a narrowband filtering process.
Note that, in the example of fig. 3, the wideband noise interference determination and the in-band noise interference determination, and the interference cancellation processing corresponding to the wideband noise interference and the in-band noise interference are substantially the same as those in the example shown in fig. 2, and therefore, description of the same portions is omitted. In other embodiments, only the digital signal after the spectrum analysis may be subjected to the second interference determination to determine whether the in-band spurious interference exists. Alternatively, only the spectrum-analyzed digital signal (here, the frequency domain signal) is subjected to a first interference judgment to determine whether wideband noise interference exists. The foregoing is illustrative only and is not to be construed as limiting the invention.
Next, in step S104, the signal subjected to the interference cancellation processing is output.
Specifically, a signal from which wideband noise interference and in-band spurious noise interference are removed is output.
In one embodiment, the interference-removed signal is subjected to IFFT processing before being output.
Optionally, filtering processing and IFFT processing are also performed on the signals before the signals are output, so that more accurate and interference-free signals can be obtained.
In another example, as shown in fig. 4, the communication method further includes repeatedly performing step S201 of determining wideband noise interference.
The steps S101, S102, S103, and S104 in fig. 4 are substantially the same as those of the steps S101, S102, S103, and S104 in fig. 1, and therefore, the description of the same parts is omitted.
In step S201, the determination of the wideband noise disturbance is repeatedly performed to determine the wideband noise disturbance.
Specifically, wideband noise interference is determined for the first time and frequency hopping is performedIn the case where the broadband noise interference is still determined after the processing, the determination of the broadband noise interference is repeatedly performed. Specific repeating of frequency modulated signal bandwidth B s With a set broadband noise interference threshold B 0 Compare until signal bandwidth B s Less than a first preset threshold B 0 Until that point.
By repeatedly performing the determination of the wideband noise interference to determine the wideband noise interference, the wideband noise interference can be more accurately identified and determined, and the wideband noise interference can be more accurately removed, so that the signal transmission problem caused by the wideband noise interference can be effectively avoided.
It should be noted that the foregoing is merely illustrative of the present invention and is not to be construed as limiting thereof.
The anti-interference effect or the interference removal effect of the present invention will be described below with reference to fig. 5, 6 and 7.
Fig. 5 is a schematic diagram of an example of a signal time domain waveform in the absence of noise interference. Fig. 6 is a schematic diagram of an example of a received signal waveform in the presence of wideband noise interference and in-band spurious interference. Fig. 7 is a schematic diagram showing an example of signal waveforms after noise interference is removed by adopting the communication method of the present invention.
Specifically, the following parameters are inputted as initial input parameters, and the signal waveform without noise removal in fig. 6 is obtained, and the signal waveform without noise removal in fig. 7 is obtained: the carrier frequency of the signal is 6MHz, the bandwidth is 1MHz, the bandwidth of the interference signal is 4MHz, and the carrier frequency of the interference signal is 6.02MHz. As can be seen from fig. 6 and 7, the signal waveform (such as the signal waveform shown in fig. 7) after noise interference removal according to the present invention has a significantly improved signal-to-interference ratio, i.e., significantly reduced interference signal component, compared to the signal waveform of fig. 6. Therefore, the interference-free communication method can effectively remove broadband noise interference and in-band noise interference (or in-band spurious noise interference) and can effectively avoid the signal transmission problem caused by the broadband noise interference.
It is noted that the above-described figures are only schematic illustrations of processes involved in a method according to an exemplary embodiment of the invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Compared with the prior art, the interference elimination communication method can accurately determine broadband noise interference and in-band noise interference by carrying out interference identification judgment on the digital signals after spectrum analysis, can adopt frequency hopping anti-interference aiming at broadband noise, has the advantages of simple engineering realization and lower complexity, can adopt refined filtering aiming at narrowband interference such as in-band spurious and the like, has the advantages of simple engineering realization and no influence on signal receiving, and can effectively avoid the signal transmission problem caused by the broadband noise interference and the in-band noise interference.
In addition, by repeatedly performing the determination of the wideband noise interference to determine the wideband noise interference, the wideband noise interference can be more accurately identified and determined, and the wideband noise interference can be more accurately removed, so that the signal transmission problem caused by the wideband noise interference can be effectively avoided.
The following are chip embodiments of the present invention that may be used to perform method embodiments of the present invention. For details not disclosed in the embodiments of the present invention, please refer to the method embodiments of the present invention.
Fig. 8 is a schematic structural view of another example of a narrowband wireless communication chip according to the invention.
As shown in fig. 8, a second aspect of the present invention provides a narrowband wireless communication chip including: the first chip is used for receiving a signal to be processed and preprocessing the signal to be processed; and the second chip is packaged with the first chip and is used for carrying out spectrum analysis and interference judgment on the preprocessed signal to be processed.
In this embodiment, the first chip is a wireless communication chip, the second chip is an MCU chip, and the second chip is integrated with a micro control unit.
Optionally, the first chip and the second chip are packaged together in a SIP manner to obtain the narrowband wireless communication chip of the present invention, for example, the chip is an intelligent internet of things chip.
Specifically, the first chip is configured to perform preprocessing of receiving a signal to be processed (i.e., corresponding to step S101 in the method of the first aspect of the present invention), for example, the first chip is a low-power wireless transceiver chip, and has a LoRa modulation mode, for example, a SX1278 radio frequency chip.
Further, the second chip has a larger core, which can provide a stronger computing power and a reliable memory unit, and is particularly selected from STM32F103C8T6 chips. The second chip is, for example, an MCU chip, and the second chip is used to perform step S102 and step S103 in the method of the first aspect of the present invention. Specifically, the pre-processed signal to be processed (i.e. digital signal) is subjected to spectrum analysis, specifically, the quantized digital signal is called by an FFT function integrated in the MCU chip
And carrying out window FFT processing to obtain a frequency domain signal of the digital signal, and obtaining the following power spectrum function (also called as power spectrum for short) of the frequency domain signal.
And calculating the signal bandwidth of the frequency domain signal corresponding to the digital signal according to the power spectrum function, and specifically calculating the difference between the maximum amplitude of the signal and the abscissa (frequency value) corresponding to the minimum amplitude of the signal to obtain the signal bandwidth. And carrying out broadband noise interference judgment and in-band noise interference judgment according to the calculated signal bandwidth. And carrying out interference elimination processing based on the determined noise interference to obtain interference elimination communication capability.
Specifically, the narrowband wireless communication chip adopts the communication method of the first aspect of the invention to carry out signal transmission.
Therefore, the narrowband wireless communication chip has high-quality interference-free communication capability, is widely applied, and is particularly suitable for emergency rescue equipment.
In this embodiment, since the communication method adopted by the chip is the same as that described in the first aspect of the present invention, the description of the same parts is omitted.
It should be noted that the foregoing detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present application. As used herein, the singular is intended to include the plural unless the context clearly indicates otherwise. Furthermore, it will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, steps, operations, devices, components, and/or groups thereof.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or otherwise described herein.
Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Spatially relative terms, such as "above … …," "above … …," "upper surface at … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial location relative to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as "above" or "over" other devices or structures would then be oriented "below" or "beneath" the other devices or structures. Thus, the exemplary term "above … …" may include both orientations of "above … …" and "below … …". The device may also be positioned in other different ways, such as rotated 90 degrees or at other orientations, and the spatially relative descriptors used herein interpreted accordingly.
In the above detailed description, reference is made to the accompanying drawings, which form a part hereof. In the drawings, like numerals typically identify like components unless context indicates otherwise. The illustrated embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be utilized, and other changes may be made, without departing from the spirit or scope of the subject matter presented herein.
The exemplary embodiments of the present invention have been particularly shown and described above. It is to be understood that this invention is not limited to the precise arrangements, instrumentalities and instrumentalities described herein; on the contrary, the invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (8)
1. A method of de-interference communication, comprising:
a first chip is used for receiving a signal to be processed, and the signal to be processed is preprocessed to obtain a digital signal corresponding to the signal to be processed;
performing spectrum analysis on the digital signal by using a second chip to determine a signal bandwidth between a maximum signal frequency value and a minimum signal frequency value after spectrum analysis, wherein the method specifically comprises the steps of performing windowing FFT processing on the digital signal to obtain a frequency domain signal of the digital signal, and obtaining the following power spectrum function of the frequency domain signal:
calculating a signal bandwidth between a signal frequency maximum value and a signal frequency minimum value of the frequency domain signal based on the power spectrum function; packaged with the first chip;
the second chip uses the determined signal bandwidth as a judgment parameter to perform broadband noise interference judgment and in-band noise interference judgment, and specifically comprises the following steps: performing broadband noise interference judgment on the frequency domain signal subjected to the spectrum analysis to determine whether broadband noise interference exists; under the condition that broadband noise interference judgment is carried out and the fact that broadband noise interference does not exist is determined, carrying out in-band noise interference judgment on the frequency domain signal after spectrum analysis so as to determine whether in-band stray interference exists or not, and carrying out interference elimination processing;
and outputting the signal subjected to interference removal processing.
2. The method of de-interference communication according to claim 1, wherein said determining whether wideband noise interference is present comprises:
comparing the calculated signal bandwidth with a preset threshold, wherein,
when the signal bandwidth is larger than or equal to a first preset threshold value, determining that broadband noise interference exists;
and when the signal bandwidth is smaller than a first preset threshold value, determining that broadband noise interference does not exist.
3. The method of de-interference communication according to claim 1, wherein,
in case it is determined that wideband noise interference exists, the frequency of the digital signal is changed by means of frequency hopping processing to remove signal interference.
4. The method of claim 1, wherein the determining the in-band noise interference of the spectrum-analyzed frequency domain signal to determine whether in-band spurious interference exists comprises:
the power spectral entropy H of the frequency domain signal is calculated using the following expression:
and comparing the calculated power spectrum entropy H with a second preset threshold value to determine whether in-band spurious interference exists.
5. The method of de-interference communication according to claim 4, wherein,
when the power spectrum entropy H is larger than or equal to the second preset threshold value, determining that in-band stray interference exists;
and when the power spectrum entropy H is smaller than the second preset threshold value, determining that no in-band spurious interference exists.
6. The method of de-interference communication according to claim 5, wherein,
when the in-band spurious interference is determined to exist, carrying out narrow-band filtering processing;
and when it is determined that the in-band spurious interference does not exist, entering a step of outputting a signal.
7. The method of claim 1, wherein the preprocessing the signal to be processed comprises:
and amplifying the signal to be processed by adopting a low-noise amplifier, processing for improving second-order harmonic waves, and outputting quantized digital signals through AD conversion.
8. A narrowband wireless communication chip, the narrowband wireless communication chip comprising:
the first chip is used for receiving a signal to be processed and preprocessing the signal to be processed;
the second chip is packaged with the first chip and is used for carrying out spectrum analysis and interference judgment on the preprocessed signal to be processed, and the second chip calculates the signal bandwidth between the signal frequency maximum value and the signal frequency minimum value of the frequency domain signal of the signal to be processed after spectrum analysis based on the power spectrum function; the second chip uses the calculated signal bandwidth as a judgment parameter to perform broadband noise interference judgment and in-band noise interference judgment, and specifically comprises the following steps: performing broadband noise interference judgment on the frequency domain signal subjected to the spectrum analysis to determine whether broadband noise interference exists; under the condition that broadband noise interference judgment is carried out and the fact that broadband noise interference does not exist is determined, carrying out in-band noise interference judgment on the frequency domain signal after spectrum analysis so as to determine whether in-band stray interference exists or not, and carrying out interference elimination processing; and
the narrowband wireless communication chip performs signal transmission using the communication method according to any one of claims 1 to 7.
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