CN105959246B - Anti-interference method - Google Patents

Anti-interference method Download PDF

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CN105959246B
CN105959246B CN201610255526.3A CN201610255526A CN105959246B CN 105959246 B CN105959246 B CN 105959246B CN 201610255526 A CN201610255526 A CN 201610255526A CN 105959246 B CN105959246 B CN 105959246B
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CN105959246A (en
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陆犇
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JUSHRI TECHNOLOGIES Inc
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2655—Synchronisation arrangements
    • H04L27/2689—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation
    • H04L27/2691—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation involving interference determination or cancellation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/10—Dynamic resource partitioning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA

Abstract

The invention provides an anti-interference method, which is characterized in that based on the frequency division characteristic of an OFDM technology adopted by a TD-LTE system, an optimal judgment threshold value of a signal is firstly obtained; and then, judging whether the frequency domain subcarrier corresponding to the signal received by the receiving end of the TD-LTE system has interference by using the optimal judgment threshold value, if so, reallocating the signal carried on the interfered subcarrier to the non-interference subcarrier, namely reallocating non-interference spectrum resources, thereby avoiding the interference during signal transmission, improving the reliability of signal transmission and achieving the aim of resisting the interference.

Description

Anti-interference method
Technical Field
The invention relates to the technical field of information, in particular to an anti-interference method.
Background
With the continuous deep application of the TD-LTE broadband wireless communication technology in the special fields of smart grids, national defense, military and the like, the electromagnetic environment faced by the broadband wireless communication private network becomes more and more complex. In the civil field, due to the fact that a large number of different communication systems are widely used, frequency spectrum resources are short, the electromagnetic environment is complex, and the like are caused. In the military field, current communication jamming devices are commonly employed with high power, programmable and the ability to simultaneously jam multiple targets. The solid-state power amplifier which adopts a plurality of receivers, a plurality of exciters and high-power transistors is matched with a high-gain antenna, can simultaneously monitor and interfere a plurality of radiation sources in a wide frequency range, and can effectively interfere conventional communication and frequency modulation communication of high frequency, very high frequency and ultrahigh frequency. In order to ensure that each node in the communication system can reliably transmit information at any place and any time and exert the maximum communication efficiency, the broadband wireless communication private network must have the persistent viability.
In order to ensure reliable communication in future practical application scenarios, new electromagnetic environment rapid sensing technology and anti-interference technology must be developed to cope with complex and variable electromagnetic environments and interference means. Meanwhile, a broadband wireless communication system is required to carry out integrated design on spectrum sensing and multi-level anti-interference technologies, so that the pertinence and real-time performance of communication anti-interference can be guaranteed, and information can be reliably and efficiently transmitted in a complex electromagnetic environment. Therefore, the development of an anti-interference technology based on spectrum sensing is an urgent need of the current broadband wireless private network communication, can ensure the reliability and effectiveness of the private network communication in a complex electromagnetic environment, and is a key and core of the future broadband wireless private network communication.
The existing spread spectrum interference technology mainly comprises two modes of direct spread spectrum and frequency hopping, when in actual application, spread spectrum parameters are required to be generated in advance and distributed to each communication node besides the spread spectrum bandwidth, and communication can be carried out only after the synchronization of a transmitting side and a receiving side is established. In addition, the technical personnel in the field also adopt the adaptive antenna technology to give the direction difference between signals and interference, and achieve the purpose of anti-interference by adjusting antenna parameters, but the technical difficulty still exists in realizing the adaptive antenna in HF/VHF/UHF frequency band.
In summary, the existing conventional anti-interference method lacks pertinence and effectiveness to the TD-LTE system, and is difficult to meet the requirement of anti-interference of the TD-LTE system.
Disclosure of Invention
The invention aims to provide an anti-interference method to solve the problem that the existing anti-interference method is lack of pertinence and effectiveness when applied to a TD-LTE system.
In order to solve the above technical problem, the present invention provides an anti-interference method, where the anti-interference method includes:
acquiring an optimal decision threshold value of a signal;
and judging whether interference exists on the frequency domain subcarrier corresponding to the signal received by the receiving end of the TD-LTE system by using the optimal judgment threshold value, and if so, reallocating the signal carried on the interfered subcarrier to the non-interference subcarrier.
Optionally, in the anti-interference method, the step of obtaining the optimal decision threshold value of the signal is as follows:
constructing a binary detection model of an AWGN channel and setting an initial decision threshold value;
acquiring a false alarm probability and a detection probability based on the binary detection model and the initial decision threshold, wherein the false alarm probability is the probability that the average power of signals in the AWGN channel is greater than the initial decision threshold when the AWGN channel is idle, and the detection probability is the probability that the average power of the signals in the AWGN channel is greater than the initial decision threshold when the AWGN channel is occupied by a user;
acquiring compromise probability for increasing detection probability and inhibiting virtual probability acquisition, and taking average power of a signal reversely deduced according to the compromise probability as an optimal decision threshold.
Optionally, in the anti-jamming method, the binary detection model of the AWGN channel is:
Figure BDA0000972417830000031
wherein H0Indicating that the channel is free and not occupied by a user, H1Indicating that the channel is occupied by users, r (t) indicating signals received by the channel, x (t) indicating useful signals, and n (t) indicating noise signals.
Optionally, in the anti-interference method, the following formula is used to obtain the false alarm probability:
Figure BDA0000972417830000032
wherein, PFIndicating false alarm probability, VT' denotes an initial decision threshold, H0Indicating that the channel is free and not occupied by a user, V0Represents the average power of the signal in the AWGN channel when the AWGN channel is idle,
Figure BDA0000972417830000033
t represents a period, n (T) represents a noise signal,
Figure BDA0000972417830000034
h＝2Wt-i，
Figure BDA0000972417830000035
w denotes the bandwidth and n denotes the number of AWGN channels.
Optionally, in the anti-interference method, an expression of the false alarm probability under the AWGN channel is as follows:
Figure BDA0000972417830000036
wherein, PFRepresenting the false alarm probability, Γ (a, b) is an incomplete gamma function, a ═ WT,
Figure BDA0000972417830000037
V'Tdenotes the initial decision threshold, W denotes the bandwidth, and T denotes the period.
Optionally, in the anti-interference method, the following formula is used to obtain the detection probability:
Figure BDA0000972417830000038
wherein, PDIndicates the probability of detection, VT' denotes an initial decision threshold, H1Indicating that the channel is occupied by a user, V1Indicating the average power of the signal when the channel is occupied by a user,
Figure BDA0000972417830000039
Figure BDA00009724178300000310
N0represents the bilateral power spectral density of the signal,
Figure BDA00009724178300000311
Figure BDA0000972417830000041
t represents the period, x (T) represents the useful signal,
Figure BDA0000972417830000042
h＝2Wt-i，
Figure BDA0000972417830000043
x represents the number of AWGN channels.
Optionally, in the anti-interference method, an expression of the detection probability under the AWGN channel is as follows:
Figure BDA0000972417830000044
wherein, PDIndicates the probability of detection, Qu(a, b) is a generalized Marcum function, u ═ TW,
Figure BDA0000972417830000045
w denotes the bandwidth, VTRepresenting an initial decision threshold, T representing a period,
Figure BDA0000972417830000046
x represents the number of AWGN channels, N0Representing the bilateral power spectral density of the signal.
Optionally, in the anti-interference method, the criterion for determining whether there is interference on the frequency domain subcarrier corresponding to the signal received by the receiving end of the TD-LTE system by using the optimal decision threshold value is as follows:
if the average signal power of the signals received by the receiving end of the TD-LTE system is larger than the optimal judgment threshold value, whether interference exists on frequency domain subcarriers corresponding to the signals received by the receiving end of the TD-LTE system or not is judged;
and if the average signal power of the signals received by the receiving end of the TD-LTE system is less than or equal to the optimal judgment threshold value, no interference exists on the frequency domain subcarrier corresponding to the signals received by the receiving end of the TD-LTE system.
Optionally, in the anti-interference method, a process of reallocating a signal carried on an interfered subcarrier to an interference-free subcarrier includes the following steps:
allocating no modulation symbol to the interfered subcarrier;
and modulating and mapping the signals on the interfered subcarriers to the non-interfered subcarriers.
In the anti-interference method provided by the invention, based on the frequency division characteristic of the OFDM technology adopted by the TD-LTE system, the optimal judgment threshold value of a signal is firstly obtained; and then, judging whether the frequency domain subcarrier corresponding to the signal received by the receiving end of the TD-LTE system has interference by using the optimal judgment threshold value, if so, reallocating the signal carried on the interfered subcarrier to the non-interference subcarrier, namely reallocating non-interference spectrum resources, thereby avoiding the interference during signal transmission, improving the reliability of signal transmission and achieving the aim of resisting the interference.
Drawings
FIG. 1 is a flow chart of an anti-jamming method according to an embodiment of the present invention;
fig. 2 is a flow chart of obtaining an optimal decision threshold value for a signal in an embodiment of the invention.
Detailed Description
The anti-interference method proposed by the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. Advantages and features of the present invention will become apparent from the following description and from the claims. It is to be noted that the drawings are in a very simplified form and are not to precise scale, which is merely for the purpose of facilitating and distinctly claiming the embodiments of the present invention.
Referring to fig. 1, it is a flowchart of an anti-interference method according to the present invention, as shown in fig. 1, the anti-interference method includes:
firstly, step S1 is executed to obtain an optimal decision threshold value of the signal;
next, step S2 is executed to determine whether there is interference on the frequency domain subcarrier corresponding to the signal received by the receiving end of the TD-LTE system by using the optimal decision threshold value, and if there is interference, reallocate the signal carried on the interfered subcarrier to the non-interfering subcarrier.
Referring to fig. 2, step S1 is described in detail, and specifically, the step of obtaining the optimal decision threshold value of the signal includes the following steps:
s10: constructing a binary detection model of an AWGN channel and setting an initial decision threshold value; the initial decision threshold is set artificially, and the accuracy of the initial decision threshold is to be determined, that is, the initial decision threshold is not necessarily the optimal decision threshold;
s11: acquiring a false alarm probability and a detection probability based on the binary detection model and the initial decision threshold, wherein the false alarm probability is the probability that the average power of signals in the AWGN channel is greater than the initial decision threshold when the AWGN channel is idle, and the detection probability is the probability that the average power of the signals in the AWGN channel is greater than the initial decision threshold when the AWGN channel is occupied by a user;
s12: acquiring compromise probability for increasing detection probability and inhibiting virtual probability acquisition, and taking average power of a signal reversely deduced according to the compromise probability as an optimal decision threshold.
Further, the binary detection model of the AWGN channel is:
Figure BDA0000972417830000061
wherein H0Indicating that the channel is free and not occupied by a user, H1Indicating that the channel is occupied by users, r (t) indicating the signal received by the channel, x (t) indicating the useful signal (i.e. the deterministic signal), and n (t) indicating the noise signal.
The energy detector does not need the prior knowledge of a main user signal, only needs to know the Gaussian white noise power in the background, receives the Gaussian white noise power through the band-pass filter, calculates the energy of the received signal, and judges whether the signal has interference or not according to a set threshold value. Therefore, the set threshold value directly influences the judgment accuracy of the judgment structure. In this embodiment, the optimal decision threshold finally obtained by the binary detection model based on the AWGN channel needs to satisfy: at H0At the moment, the average power of the signals obtained by the detection of the energy detector is smaller than the optimal decision threshold value; at H1And at the moment, the average power of the signals detected by the energy detector is greater than the optimal decision threshold value.
In this embodiment, the following formula is used to obtain the false alarm probability:
Figure BDA0000972417830000062
wherein, PFIndicating false alarm probability, VT' denotes an initial decision threshold, H0Indicating that the channel is idleAnd no user occupation, V0Represents the average power of the signal in the AWGN channel when the AWGN channel is idle,
Figure BDA0000972417830000063
t represents a period, n (T) represents a noise signal,
Figure BDA0000972417830000064
h＝2Wt-i，
Figure BDA0000972417830000065
w denotes the bandwidth and n denotes the number of AWGN channels.
Based on the analysis of equation (1), the expression for the false alarm probability under AWGN channel is given as follows:
Figure BDA0000972417830000071
wherein, PFRepresenting the false alarm probability, Γ (a, b) is an incomplete gamma function, a ═ WT,
Figure BDA0000972417830000072
V'Tdenotes the initial decision threshold, W denotes the bandwidth, and T denotes the period.
In this embodiment, the following formula is adopted to obtain the detection probability:
Figure BDA0000972417830000073
wherein, PDIndicates the probability of detection, VT' denotes an initial decision threshold, H1Indicating that the channel is occupied by a user, V1Indicating the average power of the signal when the channel is occupied by a user,
Figure BDA0000972417830000074
Figure BDA0000972417830000075
N0represents the bilateral power spectral density of the signal,
Figure BDA0000972417830000076
Figure BDA0000972417830000077
t represents the period, x (T) represents the useful signal,
Figure BDA0000972417830000078
h＝2Wt-i，
Figure BDA0000972417830000079
x represents the number of AWGN channels.
Based on the analysis of equation (3), the detection probability under the AWGN channel is expressed as follows:
Figure BDA00009724178300000710
wherein, PDIndicates the probability of detection, Qu(a, b) is a generalized Marcum function, u ═ TW,
Figure BDA00009724178300000711
w denotes the bandwidth, VTRepresenting an initial decision threshold, T representing a period,
Figure BDA00009724178300000712
x represents the number of AWGN channels, N0Representing the bilateral power spectral density of the signal.
Based on the analysis of the formula (2) and the formula (4), the false alarm probability P is obtainedFMeanwhile, the larger the detection probability with a large signal-to-noise ratio, that is, the smaller the loss probability, indicates that the signal-to-noise ratio of the sensing node has an important influence on the detection performance. When the SNR is not changed, with the false alarm probability PFIncrease of (2), detection probability PDBut for cognitive users the false alarm probability should be suppressed while increasing the detection probability. A compromise needs to be found between the two, which is to find the optimal decision threshold value for energy perception.
The invention considers the method for improving the energy detection efficiency on the energy detector and simultaneously considers the condition that the detection signal is simultaneously influenced by shadow and multipath fading, focuses on the spectrum sensing with noise and interference, considers the relationship between the coordination among a plurality of sensing users CR (cognitive radio) and the sensing complexity of a single CR from the compromise angle, and can reduce the uncertainty and improve the detection rate through the coordination among adjacent CR nodes because the uncertainty of the noise and the interference becomes the important limit in influencing the robustness detection of the main user.
Preferably, the decision criterion for deciding whether there is interference on the frequency domain subcarrier corresponding to the signal received by the receiving end of the TD-LTE system by using the optimal decision threshold value is as follows:
if the average signal power of the signals received by the receiving end of the TD-LTE system is larger than the optimal judgment threshold value, whether interference exists on frequency domain subcarriers corresponding to the signals received by the receiving end of the TD-LTE system or not is judged;
and if the average signal power of the signals received by the receiving end of the TD-LTE system is less than or equal to the optimal judgment threshold value, no interference exists on the frequency domain subcarrier corresponding to the signals received by the receiving end of the TD-LTE system.
Under the interference environment, a plurality of interference signals are narrow-band signals, and for the narrow-band interference, the inherent frequency division characteristics of TD-LTE can be utilized, and the result of frequency spectrum sensing is combined, so that the interference-free frequency spectrum resources are redistributed, the interference subcarrier frequency points are avoided during transmission, and the transmission reliability and the anti-interference capability of the system are improved. Specifically, the TD-LTE system first divides the whole frequency band resource into several sub-frequency bands. And then determining an interfered sub-band and an available sub-band according to the strength and the bandwidth of the interference signal, and then allocating the available sub-band to each user through a scheduling technology of frequency domain sub-carriers, thereby avoiding the sub-band which is interfered. In other words,
after judging whether the signal in the channel has interference based on the optimal judgment threshold, transmitting the subcarrier corresponding to the interfered signal to a transmitting terminal carrier controller through a feedback channel, setting the modulated data on the corresponding subcarrier to zero, and detecting the interfered subcarrier through an OFDM signal spectrum. That is, the sending end of the TD-LTE system sends OFDM signals according to the interfered subcarriers notified by the receiving feedback channel, modulates and maps the signals to be sent to the subcarriers that are not interfered, and does not allocate modulation symbols to the interfered subcarriers.
In summary, in the anti-interference method provided by the present invention, based on the frequency division characteristic of the OFDM technology adopted by the TD-LTE system, the optimal decision threshold of the signal is obtained first; and then, judging whether the frequency domain subcarrier corresponding to the signal received by the receiving end of the TD-LTE system has interference by using the optimal judgment threshold value, if so, reallocating the signal carried on the interfered subcarrier to the non-interference subcarrier, namely reallocating non-interference spectrum resources, thereby avoiding the interference during signal transmission, improving the reliability of signal transmission and achieving the aim of resisting the interference.
The above description is only for the purpose of describing the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention, and any variations and modifications made by those skilled in the art based on the above disclosure are within the scope of the appended claims.

Claims (8)

1. An interference rejection method, comprising:
acquiring an optimal decision threshold value of a signal;
judging whether interference exists on a frequency domain subcarrier corresponding to a signal received by a receiving end of the TD-LTE system by using the optimal judgment threshold value, and if the interference exists, reallocating a signal carried on the interfered subcarrier to an interference-free subcarrier;
the step of obtaining the optimal decision threshold value of the signal is as follows:
constructing a binary detection model of an AWGN channel and setting an initial decision threshold value;
acquiring a false alarm probability and a detection probability based on the binary detection model and the initial decision threshold, wherein the false alarm probability is the probability that the average power of signals in the AWGN channel is greater than the initial decision threshold when the AWGN channel is idle, and the detection probability is the probability that the average power of the signals in the AWGN channel is greater than the initial decision threshold when the AWGN channel is occupied by a user;
acquiring compromise probability for increasing detection probability and inhibiting virtual probability acquisition, and taking average power of a signal reversely deduced according to the compromise probability as an optimal decision threshold.
2. The interference rejection method of claim 1, wherein said binary detection model for AWGN channel is:
Figure FDA0002240287850000011
wherein H0Indicating that the channel is free and not occupied by a user, H1Indicating that the channel is occupied by users, r (t) indicating signals received by the channel, x (t) indicating useful signals, and n (t) indicating noise signals.
3. The interference rejection method of claim 2 wherein said obtaining a false alarm probability uses the following equation:
Figure FDA0002240287850000012
wherein, PFIndicating false alarm probability, VT' denotes an initial decision threshold, H0Indicating that the channel is free and not occupied by a user, V0Represents the average power of the signal in the AWGN channel when the AWGN channel is idle,
Figure FDA0002240287850000021
t represents a period, n (T) represents a noise signal,
Figure FDA0002240287850000022
h＝2Wt-i，
Figure FDA0002240287850000023
w denotes the bandwidth, N denotes the number of AWGN channels, N0Representing the bilateral power spectral density of the signal.
4. The interference rejection method of claim 3, wherein the probability of false alarm for AWGN channels is expressed as follows:
Figure FDA0002240287850000024
wherein, PFRepresenting the false alarm probability, Γ (a, b) is an incomplete gamma function, a ═ WT,
Figure FDA0002240287850000025
V'Tdenotes the initial decision threshold, W denotes the bandwidth, and T denotes the period.
5. The interference rejection method according to claim 2, wherein the detection probability is obtained using the following equation:
Figure FDA0002240287850000026
wherein, PDDenotes the detection probability, V'TRepresents the initial decision threshold, H1Indicating that the channel is occupied by a user, V1Indicating the average power of the signal when the channel is occupied by a user,
Figure FDA0002240287850000027
Figure FDA0002240287850000028
N0represents the bilateral power spectral density of the signal,
Figure FDA0002240287850000029
Figure FDA00022402878500000210
t represents the period, x (T) represents the useful signal,
Figure FDA00022402878500000211
h＝2Wt-i，
Figure FDA00022402878500000212
x represents the number of AWGN channels.
6. The method of combating interference of claim 5, wherein the probability of detection under an AWGN channel is expressed as follows:
Figure FDA0002240287850000031
wherein, PDIndicates the probability of detection, Qu(a, b) is a generalized Marcum function,
Figure FDA0002240287850000032
w represents Bandwidth, V'TRepresenting an initial decision threshold, T representing a period,
Figure FDA0002240287850000033
x represents the number of AWGN channels, N0Representing the bilateral power spectral density of the signal.
7. The anti-interference method according to claim 1, wherein the decision criterion for deciding whether there is interference on the frequency domain subcarrier corresponding to the signal received by the receiving end of the TD-LTE system using the optimal decision threshold value is as follows:
if the average signal power of the signals received by the receiving end of the TD-LTE system is greater than the optimal judgment threshold value, interference exists on frequency domain subcarriers corresponding to the signals received by the receiving end of the TD-LTE system;
and if the average signal power of the signals received by the receiving end of the TD-LTE system is less than or equal to the optimal judgment threshold value, no interference exists on the frequency domain subcarrier corresponding to the signals received by the receiving end of the TD-LTE system.
8. A method for combating interference according to claim 1, wherein the process of reallocating signals carried on the interfered sub-carriers to non-interfering sub-carriers comprises the steps of:
allocating no modulation symbol to the interfered subcarrier;
and modulating and mapping the signals on the interfered subcarriers to the non-interfered subcarriers.
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