CN114826326B - Pulse interference suppression method, device, equipment and storage medium - Google Patents

Pulse interference suppression method, device, equipment and storage medium Download PDF

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CN114826326B
CN114826326B CN202210436611.5A CN202210436611A CN114826326B CN 114826326 B CN114826326 B CN 114826326B CN 202210436611 A CN202210436611 A CN 202210436611A CN 114826326 B CN114826326 B CN 114826326B
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gain
signal
communication data
gain adjustment
sampling point
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CN114826326A (en
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陶连慧
林宏炽
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Datang State Investment Information Technology Co ltd
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Datang State Investment Information Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B3/00Line transmission systems
    • H04B3/02Details
    • H04B3/32Reducing cross-talk, e.g. by compensating
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B3/00Line transmission systems
    • H04B3/54Systems for transmission via power distribution lines
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B3/00Line transmission systems
    • H04B3/54Systems for transmission via power distribution lines
    • H04B3/542Systems for transmission via power distribution lines the information being in digital form
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2647Arrangements specific to the receiver only

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Power Engineering (AREA)
  • Noise Elimination (AREA)

Abstract

The invention provides a pulse interference suppression method, a device, equipment and a storage medium, wherein the pulse interference suppression method comprises the following steps: s1, acquiring communication data; s2, calculating control parameters of the communication data, wherein the control parameters comprise average power and position parameters; s3, performing gain judgment and sample number estimation according to the control parameters; and S4, if the gain judgment result is yes, performing analog AGC gain adjustment on the communication data according to the difference value of the average power and the saturation target gain, and performing digital DGC gain adjustment on the signal after the analog AGC gain adjustment according to the sampling point number estimated by the sampling point number so as to inhibit the pulse interference signal. The technical effect of the embodiment of the application is that the design is reasonable, the rapid saturation of pulse interference can be realized, the signal is prevented from being saturated, and the aim of pulse suppression is fulfilled.

Description

Pulse interference suppression method, device, equipment and storage medium
Technical Field
The invention belongs to the technical field of power communication, and particularly relates to a pulse interference suppression method, device, equipment and storage medium of a PLC (programmable logic controller) system based on OFDM (orthogonal frequency division multiplexing).
Background
In the field of power communication, power line carrier communication schemes based on OFDM (OrthogonalFrequency Division Multiplexing, i.e. orthogonal frequency division multiplexing technology) such as G3-PLC, green-PHY and broadband power line carrier communication (Broadband Power Line Carrier, BPLC) are proposed. The power line carrier communication technology can directly utilize the existing power line to carry out data transmission without rewiring, and has the advantages of simple and quick networking, low cost, wide application range and information security guarantee. The PLC communication technology based on OFDM is widely applied to the scenes of smart grid meter reading systems, energy Internet, smart home, industrial data acquisition and the like. The PLC communication technology based on OFDM, such as G3-PLC, green-PHY, BPLC, etc., adopts burst communication system of ad hoc network. For synchronous communication system, each data frame is tracked to obtain accurate physical frame head only according to fixed time slot proportion and physical frame interval after first synchronization, and then processes such as channel estimation, equalization, demodulation and decoding of data are performed.
However, in the burst communication system of the ad hoc network, when each node receives each frame, it is first necessary to acquire a physical frame header by detecting, not by tracking. In the field of power communication, due to the specificity of the actual power environment, there are a large number of periodic impulse noise asynchronous with the power frequency, random impulse noise, periodic impulse noise synchronous with the power frequency, and the like. The impulse noise mainly originates from the use of various electrical equipment in the power environment. The existence of pulse interference seriously affects the acquisition of data frame synchronization, the demodulation and decoding performance of the data frame, and finally the success rate and reliability of system communication.
In order to inhibit impulse interference, the following methods are mainly adopted at present:
the first method is to estimate and track the time of pulse interference, determine the time starting point and width of pulse interference, eliminate the pulse interference part in the received signal and suppress the impact of pulse interference on the whole signal. This type of method is only applicable to the ideal case as shown in fig. 1, or where the pulse width is substantially fixed and the period of time that occurs is also substantially fixed. However, in a practical environment, the time origin and the width of the impulse interference are difficult to estimate due to the randomness of occurrence. On the one hand, the time of the impulse disturbance is relatively short and occurs randomly, which requires calculation and comparison (e.g., power, amplitude, etc.) of each data point in real time and determination of whether it is an impulse; on the other hand, the impulse disturbance has a tailing shape due to the influence of the reception filter characteristic of the reception apparatus, and the amplitude is not constant as shown in fig. 2. Therefore, this method has a great difficulty in implementation, and pulse interference cannot be effectively suppressed.
The second method is to perform pulse interference detection according to the periodic characteristics of the pulse interference. That is, after the pulse interference is detected, the threshold of the signal gain is adjusted, the received signal is amplified, and the influence of the pulse interference is suppressed by a saturation mode. In practice, the threshold for the gain of the signal is difficult to determine and the effect on the signal is unpredictable. Moreover, for OFDM systems, the signals in the frequency domain are aggregated within an effective bandwidth, and are distributed over the entire time domain. If the time domain amplitude is too high, it will cause saturation of the frequency domain signal, which for higher order modulation (e.g. 16qm,64 qam) directly results in demodulation and decoding failure. Therefore, this method has a great difficulty in implementation, and pulse interference cannot be effectively suppressed.
Therefore, the current method for suppressing the pulse interference has higher implementation difficulty and is not easy to effectively suppress the pulse interference.
Disclosure of Invention
The invention aims at solving at least one of the technical problems existing in the prior art and provides a new technical scheme of a pulse interference suppression method, a device, equipment and a storage medium.
According to a first aspect of an embodiment of the present application, there is provided a method for suppressing impulse interference, including:
s1, acquiring communication data;
s2, calculating control parameters of the communication data, wherein the control parameters comprise average power and position parameters;
s3, performing gain judgment and sampling point estimation according to the control parameters;
and S4, if the gain judgment result is yes, performing analog AGC gain adjustment on the communication data according to the difference value of the average power and the saturation target gain, and performing digital DGC gain adjustment on the signal after the analog AGC gain adjustment according to the sampling point number num_sample estimated by the sampling point number so as to inhibit the pulse interference signal.
Optionally, acquiring the communication data includes:
and acquiring the digital signal corresponding to the analog signal after the analog gain adjustment, and taking the digital signal as communication data.
Optionally, calculating the control parameter of the communication data includes:
acquiring continuously received communication data, and calculating the average power value of m sampling points by taking the m sampling points as units; taking m x n sampling points and calculating n average values;
wherein P (k) represents an average value of absolute values of kth packets, and r (k, i) represents a signal sequence of communication data received by the kth group;
obtaining the maximum Pmax of P (k) 1 And recording the corresponding index k0, and at the same time, obtaining P (k 0-1), P (k0+1);
under the condition of excluding P (k 0-1), P (k 0), P (k0+1), the maximum value Pmax of P (k) is selected 2 And recording a corresponding index k1; further, under the condition that P (k 1-1), P (k 1), P (k1+1) are excluded, the maximum value Pmax of P (k) is selected again 3 And recording a corresponding index k2;
calculating to obtain the average power:
optionally, m represents a sampling point number corresponding to one microsecond, and n represents a sampling point number corresponding to at least ten microsecond.
Optionally, performing gain decision and sampling point estimation according to the control parameter includes:
the Pavg is converted into a log value PowerLog0, wherein PowerLog 0=10xlog (Pavg) is compared with a saturation target gain TargetGain0, and the gain judgment result is as follows:
if Abs (PowerLog 0-TargetGain 0) > Thr0, the gain decision results in that the gain adjustment value is PowerLog0-TargetGain0; otherwise, the result of the gain decision is no.
Alternatively, thr0 is less than or equal to 1dB.
Optionally, performing gain decision and sampling point estimation according to the control parameter further includes:
the position difference between every two of k0, k1, k2 is calculated as follows:
k01 =abs (k 0-k 1), k02=abs (k 0-k 2) and k12=abs (k 1-k 2), if less than 4 occurs in k01, k02, k12, the number of samples estimated from the number of samples is at least 4*m.
Optionally, performing digital DGC gain adjustment on the signal after the analog AGC gain adjustment according to the number of sample points estimate includes:
the average amplitude is calculated for the num_sample samples received as follows:
wherein rdgc (i-j) represents the historical reception of the digital sample signal from the instant i of AGC gain adjustment;
and carrying out amplitude adjustment on the signal subjected to the analog AGC gain adjustment according to the difference value between the Pdgc and the unsaturated target gain TargetGain 1.
According to a second aspect of embodiments of the present application, there is provided a pulse interference suppression apparatus, including:
a data acquisition module configured to acquire communication data;
a power estimation module configured to calculate control parameters of the communication data;
the gain judgment and sampling point estimation module is configured to carry out gain judgment and sampling point estimation according to the control parameters;
and the gain adjustment module is configured to perform analog AGC gain adjustment on the communication data according to the difference value of the average power and the saturation target gain if the gain judgment result is yes, and perform digital DGC gain adjustment on the signal after the analog AGC gain adjustment according to the sampling point number num_sample estimated by the sampling point number.
According to a third aspect of embodiments of the present application, there is provided an electronic device, including:
one or more processors;
and a storage unit configured to store one or more programs that, when executed by the one or more processors, enable the one or more processors to implement the pulse interference suppression method according to the above.
According to a fourth aspect of embodiments of the present application, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, is capable of implementing a method of impulse interference suppression according to the above.
One technical effect of the embodiment of the application is that:
in the embodiment of the application, the control parameters of the communication data are calculated, and gain judgment and sampling point number estimation are carried out according to the control parameters. If the gain judgment result is yes, performing analog AGC gain adjustment on the communication data according to the difference value of the average power and the saturation target gain, and performing digital DGC gain adjustment on the signal after the analog AGC gain adjustment according to the sampling point number estimated by the sampling point number so as to inhibit the pulse interference signal. Therefore, the impulse interference signal can be accurately restrained, and the restraining effect is good.
In addition, the method ensures that the undisturbed signal and the pulse interference are contained in the data calculated by the analog AGC gain through the two-stage gain control mode of the analog AGC gain adjustment and the digital DGC gain adjustment, realizes the rapid saturation of the pulse interference, avoids the saturation of the signal and achieves the aim of pulse suppression; moreover, the sampling points estimated by the sampling points are adopted to carry out digital DGC gain adjustment on the signal after the analog AGC gain adjustment, so that the estimation of a pulse interference starting point and a pulse width is avoided, the implementation complexity of a receiver is reduced, and the influence of the pulse interference false alarm on the demodulation performance of the received signal can be avoided; further, the useful signal can be quickly adjusted to the demodulation amplitude.
Drawings
FIG. 1 is a diagram showing the characteristics of impulse interference in the prior art;
FIG. 2 is a diagram showing the characteristics of impulse interference in the prior art in actual operation;
FIG. 3 is a flow chart of a method for impulse interference suppression according to an embodiment of the invention;
FIG. 4 is a schematic diagram of an apparatus for suppressing impulse interference according to an embodiment of the present invention
Drawing of the figure
Detailed Description
Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present application unless it is specifically stated otherwise.
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functionality throughout. The embodiments described below by referring to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
As shown in fig. 3 and fig. 4, according to a first aspect of an embodiment of the present application, there is provided a method for suppressing impulse interference, including:
s1, acquiring communication data;
s2, calculating control parameters of the communication data, wherein the control parameters comprise average power and position parameters;
s3, performing gain judgment and sampling point estimation according to the control parameters;
and S4, if the gain judgment result is yes, performing analog AGC gain adjustment on the communication data according to the difference value of the average power and the saturation target gain, and performing digital DGC gain adjustment on the signal after the analog AGC gain adjustment according to the sampling point number num_sample estimated by the sampling point number so as to inhibit the pulse interference signal.
In the embodiment of the application, the control parameters of the communication data are calculated, and gain judgment and sampling point number estimation are carried out according to the control parameters. If the gain judgment result is yes, performing analog AGC gain adjustment on the communication data according to the difference value of the average power and the saturation target gain, and performing digital DGC gain adjustment on the signal after the analog AGC gain adjustment according to the sampling point number estimated by the sampling point number so as to inhibit the pulse interference signal. Therefore, the impulse interference signal can be accurately restrained, and the restraining effect is good.
In addition, the method ensures that the undisturbed signal and the pulse interference are contained in the data calculated by the analog AGC gain through the two-stage gain control mode of the analog AGC gain adjustment and the digital DGC gain adjustment, realizes the rapid saturation of the pulse interference, avoids the saturation of the signal and achieves the aim of pulse suppression; moreover, the sampling points estimated by the sampling points are adopted to carry out digital DGC gain adjustment on the signal after the analog AGC gain adjustment, so that the estimation of a pulse interference starting point and a pulse width is avoided, the implementation complexity of a receiver is reduced, and the influence of the pulse interference false alarm on the demodulation performance of the received signal can be avoided; further, the useful signal can be quickly adjusted to the demodulation amplitude.
The main idea of OFDM as a high-speed communication technology is to divide a specified communication bandwidth into a plurality of sub-channels, each sub-channel is adjusted by using one carrier, and a frequency domain interval is not required between carriers, so that a plurality of carriers are transmitted in parallel. OFDM, as a key physical layer technology, is widely used in the fields of wireless communication, digital audio broadcasting, and the like. OFDM has the following advantages as a physical layer key technology:
1. because the data is distributed to different carriers for transmission, the system can adaptively select the carrier with good condition for data transmission according to the channel condition on the carrier, and the transmission effectiveness, reliability and transmission rate are improved.
2. Because the data are loaded on different carriers, the peak value and the zero point between adjacent carriers are overlapped, and the system can utilize the frequency spectrum resource to the maximum extent, thereby improving the frequency spectrum utilization rate.
3. Since OFDM utilizes cyclic prefix, inter-symbol interference can be effectively suppressed.
Therefore, the pulse interference suppression method of the PLC system based on the OFDM can accurately suppress the pulse interference signal based on the advantages of the PLC system based on the OFDM, and has a good suppression effect.
Optionally, acquiring the communication data includes:
and acquiring the digital signal corresponding to the analog signal after the analog gain adjustment, and taking the digital signal as communication data.
In the embodiment, the analog signal is subjected to analog gain adjustment and converted into the digital signal, so that the digital signal is sampled, the accuracy of gain judgment is ensured, and the accuracy of sampling point number estimation is also ensured, so that the suppression of the pulse of the communication data can be realized, and the communication signal is better protected.
Optionally, calculating the control parameter of the communication data includes:
acquiring continuously received communication data, and calculating the average power value of m sampling points by taking the m sampling points as units; taking m x n sampling points and calculating n average values;
wherein P (k) represents an average value of absolute values of kth packets, and r (k, i) represents a signal sequence of communication data received by the kth group;
obtaining the maximum Pmax of P (k) 1 And recording the corresponding index k0, and at the same time, obtaining P (k 0-1), P (k0+1);
under the condition of excluding P (k 0-1), P (k 0), P (k0+1), the maximum value Pmax of P (k) is selected 2 And recording a corresponding index k1; further, in excluding P (k 1-1), P (k 1), and P (k1+1)Under the condition, the maximum value Pmax of P (k) is selected again 3 And recording a corresponding index k2;
calculating to obtain the average power:
in the above embodiment, the calculation result of the average power is more accurate, and the calculation mode is very simple. And also helps to achieve calculation of the average power of the communication data.
It should be noted that, when the communication data does not have impulse interference, the value of P (k) is relatively close; when there is impulse interference in the communication data, a maximum value Pmax must occur 1 Much larger than the average of the other groups. Considering that the trailing of the pulse in the actual environment and that the data segment corresponding to k0 is not necessarily from the start point of the pulse, other data segments except k0 are also affected by the pulse, and therefore, it is necessary to determine the average power corresponding to the data segments (k 0-1, k0+1) before and after k 0. Considering the randomness of the pulse, besides the pulse interference existing in the k0 corresponding data segment, other segments may also exist in the pulse interference, so that judgment needs to be performed on other data segments, namely, judgment is performed on the k1 corresponding data segment and judgment is performed on the k2 corresponding data segment. P (k 0), P (k0+/-1), P (k 1), P (k1+/-1), P (k 2) and P (k2+/-1) are removed, and then average power is calculated, so that the accuracy is high, the method is suitable for different communication data, and the application range is wide.
Optionally, m represents a sampling point number corresponding to one microsecond, and n represents a sampling point number corresponding to at least ten microsecond.
In the above embodiment, for the power environment, the width of the pulse interference is generally in the microsecond level, and m represents the number of sampling points corresponding to one microsecond. Meanwhile, for the power environment, the width of pulse interference is generally in the order of microseconds, and n at least needs to collect both interfered and undisturbed signals, so n represents the number of sampling points corresponding to at least ten microseconds. This enables the values of m and n to be very suitable for the characteristics of the power environment, facilitating a more accurate calculation of the average power from the appropriate number of sampling points.
It should be noted that Pavg is transmitted to the gain decision and sampling point number estimation module as a parameter of the current receiving gain decision. By combining the Pavg with the gain decision and the sample point estimation module, the impulse interference can be saturated as much as possible while the undisturbed signal is retained.
And transmitting K0, K1 and K2 to a gain judgment and sampling point number estimation module for calculating the number of samples required by the power calculation of the digital DGC gain module for the next frame or the next receiving opening. The number of samples is calculated to ensure that the digital DGC gain module contains the disturbed signal and the undisturbed signal as much as possible while avoiding fluctuations in the DGC adjustment when calculating the average power.
Optionally, performing gain decision and sampling point estimation according to the control parameter includes:
the Pavg is converted into a log value PowerLog0, wherein PowerLog 0=10xlog (Pavg) is compared with a saturation target gain TargetGain0, and the gain judgment result is as follows:
if Abs (PowerLog 0-TargetGain 0) > Thr0, the gain decision results in that the gain adjustment value is PowerLog0-TargetGain0; otherwise, the result of the gain decision is no.
In the above embodiment, in order to saturate the impulse interference as much as possible while retaining the undisturbed signal, the saturation target gain needs to be set to a value close to saturation. For example, a 10-bit ADC, the saturation target gain TargetGain0 may be set to be around 48dB, and the reserved 12dB may provide a margin for the later modules of the digital DGC gain adjustment. If the first stage module after the analog AGC gain adjustment is a digital DGC gain module, or the digital scaling of the first stage module after the analog AGC gain adjustment can support data processing close to saturation, the margin can be kept smaller, which helps to ensure the accuracy of gain decision and helps to better saturate the pulses of communication data.
In the embodiment of the present application, there is no particular requirement for the setting of Thr 0. Only the influence of the adjustment fluctuations on the signal has to be considered. The smaller Thr0, the more frequent the adjustment, potentially leading to larger fluctuations. The larger Thr0, the slower the adjustment may result in a longer time to settle on the target gain. Therefore, thr0 is selected to be smaller, which is advantageous in reducing the influence of fluctuations on the signal and also in reducing the time for the signal to settle to the target gain.
Alternatively, thr0 is less than or equal to 1dB, for example, thr0=1 dB. This enables a relatively block stabilization of the signal to the target gain, which not only better disturbs the pulses, but also better protects the signal.
Optionally, performing gain decision and sampling point estimation according to the control parameter further includes:
the position difference between every two of k0, k1, k2 is calculated as follows:
k01 =abs (k 0-k 1), k02=abs (k 0-k 2) and k12=abs (k 1-k 2), if less than 4 occurs in k01, k02, k12, the number of samples estimated from the number of samples is at least 4*m.
In the above embodiment, if k01 < 4, it is explained that k0, k0±1, k1, k1±1 are the next groups and may be affected by impulse interference.
If k02 < 4, it is stated that k0, k0.+ -. 1, k2, k2.+ -. 1 are the next group and are all likely to be affected by impulse disturbances.
If k12 < 4, it is stated that k1, k1+ -1, k2, k2+ -1 are the next group and are all likely to be affected by impulse disturbances.
If k01 < 8, it is stated that k0, k0.+ -. 1, k1, k1.+ -. 1 are not immediately adjacent groups, and that there may be groups between the two groups that are not affected by impulse interference.
If k02 < 8, it is stated that k0, k0.+ -. 1, k2, k2.+ -. 1 are not immediately adjacent groups, and that there may be groups between the two groups that are not affected by impulse interference.
If k12 < 8, it is stated that k1, k 1.+ -. 1, k2, k 2.+ -. 1 are not immediately adjacent groups, and that there may be groups between the two groups that are not affected by impulse interference.
Similarly, the farther apart the two groups are, the higher the likelihood that there will be a signal between them that is not disturbed by the impulse. Thus, if a situation of less than 4 is found between k01, k02, k12, the number of sampling points of the sampling point estimation is at least 4*m, which helps to ensure the accuracy of the digital DGC gain adjustment.
Optionally, performing digital DGC gain adjustment on the signal after the analog AGC gain adjustment according to the number of sample points estimate includes:
the average amplitude is calculated for the num_sample samples received as follows:
wherein rdgc (i-j) represents the historical reception of the digital sample signal from the instant i of AGC gain adjustment;
and carrying out amplitude adjustment on the signal subjected to the analog AGC gain adjustment according to the difference value between the Pdgc and the unsaturated target gain TargetGain 1.
It should be noted that num_sample adopts the value obtained by the gain decision and sampling point estimation module, which is the previous frame, or the previous reception, or the separate calculation.
In the above embodiment, targetGain1 is the unsaturated target gain, and is determined by scaling of data processing by a post-processing module of the digital DGC gain module, or by system scaling. Generally, considering the effect of FFT time-frequency conversion, the setting will be performed according to the width of the ADC converter, and for example 10bit ADC,TargetGain1 may be set to 7 bits, i.e. 128. The amplitude adjustment is performed by rdgc (i) ×targetgain 1/Pdgc. This enables amplitude adjustment of the signal after analog AGC gain adjustment, with a good adjustment effect.
In addition, the signal after the digital DGC gain adjustment is further input to a subsequent module.
According to a second aspect of embodiments of the present application, there is provided a pulse interference suppression apparatus, including:
a data acquisition module configured to acquire communication data; the data acquisition module may be an analog front end, and the analog front end performs gain adjustment on the analog signal according to the gain decision result, and generates a digital signal through conversion of the ADC converter. At this time, if there is impulse interference, the impulse interference has undergone saturation processing, and the signal is not saturated;
a power estimation module configured to calculate control parameters of the communication data;
the gain judgment and sampling point estimation module is configured to carry out gain judgment and sampling point estimation according to the control parameters;
and the gain adjustment module is configured to perform analog AGC gain adjustment on the communication data according to the difference value of the average power and the saturation target gain if the gain judgment result is yes, and perform digital DGC gain adjustment on the signal after the analog AGC gain adjustment according to the sampling point number num_sample estimated by the sampling point number.
In the embodiment, the pulse interference suppression device has reasonable structural design, can realize rapid saturation of pulse interference, avoids saturation of signals and achieves the aim of pulse suppression.
According to a third aspect of embodiments of the present application, there is provided an electronic device, including:
one or more processors;
and a storage unit configured to store one or more programs that, when executed by the one or more processors, enable the one or more processors to implement the pulse interference suppression method according to the above.
In the embodiment, the electronic equipment can realize rapid saturation of pulse interference, avoid saturation of signals and achieve the aim of pulse suppression.
According to a fourth aspect of embodiments of the present application, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, is capable of implementing a method of impulse interference suppression according to the above.
In the embodiment, the rapid saturation of pulse interference can be realized, the signal is prevented from being saturated, and the aim of pulse suppression is fulfilled.
The computer readable medium may be any apparatus, device, or system of the present invention or may exist alone.
The computer readable storage medium may be a tangible device that retains and stores instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer-readable storage medium may also include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein, specific examples of which include, but are not limited to, electromagnetic signals, optical signals, or any suitable combination thereof.
The computer readable program instructions may be downloaded from a computer readable storage medium to the respective computing/processing device or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer program instructions for carrying out operations of the present invention may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for computer readable program instructions, which can execute the computer readable program instructions.
Various aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are all equivalent.
It is to be understood that the above embodiments are merely illustrative of the application of the principles of the present invention, but not in limitation thereof. Various modifications and improvements may be made by those skilled in the art without departing from the spirit and substance of the invention, and are also considered to be within the scope of the invention.

Claims (8)

1. A method of impulse interference suppression, comprising:
s1, acquiring communication data, including:
acquiring a digital signal corresponding to the analog signal after analog gain adjustment, and taking the digital signal as communication data;
s2, calculating control parameters of the communication data, wherein the control parameters comprise average power and position parameters;
s3, performing gain judgment and sampling point estimation according to the control parameters, including:
the Pavg is converted into a log value PowerLog0, wherein PowerLog 0=10xlog (Pavg) is compared with a saturation target gain TargetGain0, and the gain judgment result is as follows:
if Abs (PowerLog 0-TargetGain 0) > Thr0 and Thr0 is less than or equal to 1dB, the gain judgment result is that the gain adjustment value is PowerLog0-TargetGain0; otherwise, the result of the gain judgment is no;
and S4, if the gain judgment result is yes, performing analog AGC gain adjustment on the communication data according to the difference value of the average power and the saturation target gain, and performing digital DGC gain adjustment on the signal after the analog AGC gain adjustment according to the sampling point number num_sample estimated by the sampling point number so as to inhibit the pulse interference signal.
2. The method of impulse interference suppression according to claim 1, wherein calculating control parameters of the communication data comprises:
acquiring continuously received communication data, and calculating the average power value of m sampling points by taking the m sampling points as units; taking m x n sampling points and calculating n average values;
wherein P (k) represents an average value of absolute values of kth packets, and r (k, i) represents a signal sequence of communication data received by the kth group;
obtaining the maximum Pmax of P (k) 1 And recording the corresponding index k0, and at the same time, obtaining P (k 0-1), P (k0+1);
under the condition of excluding P (k 0-1), P (k 0), P (k0+1), the maximum value Pmax of P (k) is selected 2 And recording a corresponding index k1; further, under the condition that P (k 1-1), P (k 1), P (k1+1) are excluded, the maximum value Pmax of P (k) is selected again 3 And recording a corresponding index k2;
calculating to obtain the average power:
3. the method of claim 2, wherein m represents a number of samples corresponding to one microsecond, and n represents a number of samples corresponding to at least ten microsecond.
4. The method of impulse interference suppression according to claim 1, wherein making gain decisions and sample point number estimates based on the control parameters further comprises:
the position difference between every two of k0, k1, k2 is calculated as follows:
k01 =abs (k 0-k 1), k02=abs (k 0-k 2) and k12=abs (k 1-k 2), if less than 4 occurs in k01, k02, k12, the number of samples estimated from the number of samples is at least 4*m.
5. The method of impulse interference suppression according to claim 1, characterized in that,
the step of performing digital DGC gain adjustment on the signal after the analog AGC gain adjustment according to the number of the sampling points comprises the following steps:
the average amplitude is calculated for the num_sample samples received as follows:
wherein rdgc (i-j) represents the historical reception of the digital sample signal from the instant i of AGC gain adjustment;
and carrying out amplitude adjustment on the signal subjected to the analog AGC gain adjustment according to the difference value between the Pdgc and the unsaturated target gain TargetGain 1.
6. A pulse interference suppression apparatus, comprising:
a data acquisition module configured to acquire communication data;
the acquiring communication data includes:
acquiring a digital signal corresponding to the analog signal after analog gain adjustment, and taking the digital signal as communication data;
a power estimation module configured to calculate control parameters of the communication data;
the gain judgment and sampling point estimation module is configured to carry out gain judgment and sampling point estimation according to the control parameters;
the step of carrying out gain judgment and sampling point estimation according to the control parameters comprises the following steps:
the Pavg is converted into a log value PowerLog0, wherein PowerLog 0=10xlog (Pavg) is compared with a saturation target gain TargetGain0, and the gain judgment result is as follows:
if Abs (PowerLog 0-TargetGain 0) > Thr0 and Thr0 is less than or equal to 1dB, the gain judgment result is that the gain adjustment value is PowerLog0-TargetGain0; otherwise, the result of the gain judgment is no;
and the gain adjustment module is configured to perform analog AGC gain adjustment on the communication data according to the difference value of the average power and the saturation target gain if the gain judgment result is yes, and perform digital DGC gain adjustment on the signal after the analog AGC gain adjustment according to the sampling point number num_sample estimated by the sampling point number.
7. An electronic device, comprising:
one or more processors;
a storage unit for storing one or more programs, which when executed by the one or more processors, enable the one or more processors to implement the impulse interference suppression method according to any one of claims 1 to 5.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that,
the computer program being capable of implementing a method of impulse interference suppression according to any one of claims 1 to 5 when executed by a processor.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102811190A (en) * 2011-05-31 2012-12-05 上海明波通信技术股份有限公司 Suppression method for single-frequency interference in OFDM (Orthogonal Frequency Division Multiplexing) communication system
CN103703683A (en) * 2011-07-08 2014-04-02 日本电气株式会社 Reception device, and gain control method
CN104821837A (en) * 2015-04-27 2015-08-05 西安空间无线电技术研究所 Frequency hopping anti-interference system for MF-TDMA system
CN108649999A (en) * 2018-07-06 2018-10-12 北京智芯微电子科技有限公司 The detection device and detection method of OFDM electric line communication systems narrowband interference

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8605836B2 (en) * 2005-03-11 2013-12-10 Qualcomm Incorporated Automatic gain control for a wireless receiver

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102811190A (en) * 2011-05-31 2012-12-05 上海明波通信技术股份有限公司 Suppression method for single-frequency interference in OFDM (Orthogonal Frequency Division Multiplexing) communication system
CN103703683A (en) * 2011-07-08 2014-04-02 日本电气株式会社 Reception device, and gain control method
CN104821837A (en) * 2015-04-27 2015-08-05 西安空间无线电技术研究所 Frequency hopping anti-interference system for MF-TDMA system
CN108649999A (en) * 2018-07-06 2018-10-12 北京智芯微电子科技有限公司 The detection device and detection method of OFDM electric line communication systems narrowband interference

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