CN110113272B - Method and device for suppressing strong narrowband interference, communication equipment and storage medium - Google Patents
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Abstract
The application relates to a method and a device for suppressing strong narrowband interference, communication equipment and a storage medium. The method comprises the following steps: performing channel estimation on the received signals based on the P reference signals to obtain P estimated channel matrixes; dividing the P estimated channel matrixes into L groups, and calculating the channel estimation energy of each group of estimated channel matrixes; determining whether each group of channels has interference at each moment according to the channel estimation energy of each group of estimation channel matrixes, and determining a local channel matrix corresponding to each group of channels at each moment based on the interference determination result and at least one group of estimation channel matrixes; and calculating strong narrowband interference signals at each moment by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and performing interference suppression on the received signals by using the strong narrowband interference signals. The method can quickly and instantaneously suppress the interference of the received signal, thereby effectively improving the decoding capability of the terminal on the received signal.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for suppressing strong narrowband interference, a communication device, and a storage medium.
Background
With the continuous development of communication technology, people have higher and higher requirements on the transmission rate of communication data, and the communication technology is upgraded from 2G to 3G and then upgraded from 3G to 4G, and nowadays, with the establishment of the third generation partnership project 3GPP to the 5G standard, the communication technology upgraded from 4G to 5G and the commercialization of 5G will be rapidly developed.
Generally, in a 4G communication system, an orthogonal frequency division multiplexing system is a relatively classic physical layer air interface transmission technology when wireless transmission is performed between a base station and a terminal, in an orthogonal frequency division multiplexing system in a dedicated communication field (for example, in a military communication field), strong narrowband interference (for example, hostile interference by an enemy) sometimes exists, when a receiver cannot timely sense the interference and instantaneously suppresses the interference, decoding failure may occur when the receiver receives data, and even communication interruption between the receiver and a sender may be caused more seriously.
Therefore, when there is interference in the received signal, how to perform fast interference suppression on the received signal to improve the decoding capability of the receiving side becomes an urgent technical problem to be solved.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a communication device and a storage medium for suppressing strong narrowband interference.
A method for suppressing strong narrowband interference, the method comprising:
performing channel estimation on the received signals based on the P reference signals to obtain P estimated channel matrixes;
dividing the P estimated channel matrixes into L groups, and calculating the channel estimation energy of each group of estimated channel matrixes;
determining whether each group of channels has interference at each moment according to the channel estimation energy of each group of estimation channel matrixes, and determining a local channel matrix corresponding to each group of channels at each moment based on the interference determination result and at least one group of estimation channel matrixes;
and calculating strong narrowband interference signals at each moment by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and performing interference suppression on the received signals by using the strong narrowband interference signals.
In one embodiment, the determining whether the channels in each group have interference at each time according to the channel estimation energy of each group of estimated channel matrices includes:
comparing the channel estimation energy of each group of estimation channel matrix by using a preset interference identification method to obtain an interference information bit value corresponding to each group of channel estimation energy;
and determining whether the interference exists in each group of channels at each moment according to the interference information bit value corresponding to the estimated energy of each group of channels.
In one embodiment, when the threshold includes an initial threshold, a first preset threshold and a second preset threshold, where the first preset threshold is greater than 0, and the second preset threshold is less than 0, the threshold comparing, by using a preset interference identification method, the channel estimation energy of each group of estimated channel matrices to obtain an interference information bit value corresponding to each group of channel estimation energy includes:
comparing the channel estimation energy of each group of estimation channel matrix with the initial threshold, the first preset threshold and the second preset threshold respectively to obtain a comparison result of each group of channels;
and obtaining the interference information bit value corresponding to the estimated energy of each group of channels according to the comparison result of each group of channels.
In one embodiment, when the threshold includes an absolute preset threshold, the threshold comparing the channel estimation energies of each group of estimated channel matrices by using a preset interference identification method to obtain an interference information bit value corresponding to each group of channel estimation energies includes:
comparing the channel estimation energy of each group of estimation channel matrix with the absolute preset threshold respectively to obtain the comparison result of each group of channels;
and obtaining the interference information bit value corresponding to the estimated energy of each group of channels according to the comparison result of each group of channels.
In one embodiment, the determining whether each group of channels has interference at each time according to the interference information bit value corresponding to each group of channel estimation energy includes:
if the interference information bit value of 0 exists at the current moment, determining that the group A channel corresponding to the interference information bit value of 0 does not have interference at the current moment, and determining that the group B channel corresponding to the interference information bit value of 1 has interference at the current moment.
In one embodiment, the determining, based on the interference determination result and at least one group of estimated channel matrices, a local channel matrix corresponding to each group of channels at each time includes:
determining a local channel matrix corresponding to the group A channel at the current moment based on an estimated channel matrix corresponding to the group A channel at the current moment and a preset forgetting factor or based on a local channel matrix when the group A channel has no interference at the latest moment;
and determining a local channel matrix when the interference does not exist in the latest moment of the B group of channels as the local channel matrix corresponding to the B group of channels at the current moment.
In one embodiment, the determining, based on the estimated channel matrix corresponding to the group a channel at the current time and a preset forgetting factor, the local channel matrix corresponding to the group a channel at the current time includes:
according to formula (1)
Determining the local channel matrix corresponding to the group A channels at the current moment
Wherein alpha is a preset forgetting factor,
an estimated channel matrix corresponding to the group a channels at the current time,
for the local channel matrix when there is no interference for the last moment of the group a channels,
the initial value of (a) is an estimated channel matrix corresponding to the group A channels at the current moment, t is the current moment, t-1 is the latest moment, k is the kth subcarrier, and S is a reference signal.
In one embodiment, the determining the local channel matrix corresponding to the group a channel at the current time based on the local channel matrix when the group a channel has no interference at the latest time includes:
and determining a local channel matrix when the A group of channels have no interference at the latest moment as the local channel matrix corresponding to the A group of channels at the current moment.
In one embodiment, the calculating the strong narrowband interference signal at each time by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels includes:
according to formula (2)
Calculating strong narrow-band interference signals at each moment
Wherein, the
An estimated channel matrix corresponding to the group B channels at the current time, the
And obtaining a local channel matrix of the group B channels at the current moment, wherein S is a reference signal, t is the current moment, and m is the mth subcarrier of the group B channels.
An apparatus for suppressing strong narrowband interference, the apparatus comprising:
the estimation module is used for carrying out channel estimation on the received signals based on the P reference signals to obtain P estimated channel matrixes;
a calculating module, configured to divide the P estimated channel matrices into L groups, and calculate channel estimation energy of each group of estimated channel matrices;
the determining module is used for determining whether each group of channels has interference at each moment according to the channel estimation energy of each group of estimation channel matrixes, and determining a local channel matrix corresponding to each group of channels at each moment based on the interference determination result and at least one group of estimation channel matrixes;
and the suppression module is used for calculating strong narrowband interference signals at each moment by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and performing interference suppression on the received signals by using the strong narrowband interference signals.
A communication device comprising a memory and a processor, the memory storing a computer program, the processor when executing the computer program implementing the steps of:
performing channel estimation on the received signals based on the P reference signals to obtain P estimated channel matrixes;
dividing the P estimated channel matrixes into L groups, and calculating the channel estimation energy of each group of estimated channel matrixes;
determining whether each group of channels has interference at each moment according to the channel estimation energy of each group of estimation channel matrixes, and determining a local channel matrix corresponding to each group of channels at each moment based on the interference determination result and at least one group of estimation channel matrixes;
and calculating strong narrowband interference signals at each moment by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and performing interference suppression on the received signals by using the strong narrowband interference signals.
A readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
performing channel estimation on the received signals based on the P reference signals to obtain P estimated channel matrixes;
dividing the P estimated channel matrixes into L groups, and calculating the channel estimation energy of each group of estimated channel matrixes;
determining whether each group of channels has interference at each moment according to the channel estimation energy of each group of estimation channel matrixes, and determining a local channel matrix corresponding to each group of channels at each moment based on the interference determination result and at least one group of estimation channel matrixes;
and calculating strong narrowband interference signals at each moment by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and performing interference suppression on the received signals by using the strong narrowband interference signals.
The method, the device, the communication equipment and the storage medium for suppressing the strong narrowband interference firstly perform channel estimation on a received signal based on P reference signals to obtain P estimated channel matrixes, then divide the P estimated channel matrixes into L groups, calculate the channel estimation energy of each group of estimated channel matrixes, then determine whether each group of channels has interference at each moment according to each group of channel estimation energy, determine a local channel matrix corresponding to each group of channels at each moment based on an interference determination result and at least one group of estimated channel matrixes, finally calculate the strong narrowband interference signal at each moment by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and perform interference suppression on the received signal by using the strong narrowband interference signal. In this embodiment, because the estimated channel matrix of each channel, the channel estimated energy of each group of channels, and the local channel matrix of each group of channels can be obtained through calculation, and whether interference information exists can be quickly judged according to the channel estimated energy, and when interference exists, the interference information can be quickly calculated by using the estimated channel matrix and the local channel matrix, that is, the interference information can be quickly sensed, so that the received signal can be quickly and instantaneously interference suppressed by using the calculated interference information within a period of time, and the decoding capability of the received signal can be effectively improved.
Drawings
Fig. 1 is a diagram of an application environment of a strong narrowband interference suppression method in an embodiment;
fig. 2 is a flow chart illustrating a method for suppressing strong narrowband interference in an embodiment;
fig. 3 is a schematic flow chart of a method for suppressing strong narrowband interference in another embodiment;
fig. 4 is a flowchart illustrating a method for suppressing strong narrowband interference in another embodiment;
fig. 5 is a flowchart illustrating a method for suppressing strong narrowband interference in another embodiment;
fig. 6 is a flowchart illustrating a method for suppressing strong narrowband interference in another embodiment;
fig. 7 is a flowchart illustrating a method for suppressing strong narrowband interference in another embodiment;
FIG. 8 is a block diagram of an apparatus for suppressing strong narrowband interference according to an embodiment;
fig. 9 is a block diagram of a strong narrowband interference suppression apparatus in another embodiment;
fig. 10 is an internal configuration diagram of a communication device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The transient suppression method for strong narrowband interference provided by the present application may be applied to a communication system as shown in fig. 1, where the communication system may be an Orthogonal Frequency Division Multiplexing (OFDM) system. The system comprises a base station 102 and a terminal 104, wherein the base station 102 and the terminal 104 can communicate with each other, the terminal 104 can be various personal computers, notebook computers, smart phones, tablet computers, computer equipment, portable wearable equipment and the like, and the specific form of the terminal 104 is not limited in the application; optionally, both the base station 102 and the terminal 104 may include transceivers, including transmitters and receivers.
It should be noted that, the present application may estimate an uplink channel, and may also estimate a downlink channel, where the uplink channel refers to a channel where a transmitter of the terminal transmits data and a receiver of the base station receives data, and the downlink channel refers to a channel where the transmitter of the base station transmits data and the receiver of the terminal receives data.
In an embodiment, as shown in fig. 2, a strong narrowband interference transient suppression method is provided, and this embodiment relates to a specific process of how a terminal performs interference suppression on a received signal based on a reference signal, which is described by taking the method as an example applied to the terminal in fig. 1, where the method includes the following steps:
s202, channel estimation is carried out on the received signals based on the P reference signals, and P estimated channel matrixes are obtained.
In this embodiment, in the OFDM system, the frequency domain includes M subcarriers altogether, the base station may uniformly insert P reference signals into the M subcarriers, and then the base station may send data including the P reference signals to the terminal through the M subcarriers, optionally, the data sent by the base station may be time domain data; wherein, the reference signal can also be called as a pilot signal, optionally, P is less than or equal to M, and M can be evenly divided by P; after receiving the time domain data with the reference signal, the terminal may perform fast fourier transform on the time domain data, and then may obtain a frequency domain signal inserted with the pilot signal, where the received signal may be represented by formula (3):
wherein,
denotes a channel matrix corresponding to a reference signal on the kth subcarrier at time t, k ranges from 1 to M, S denotes a reference signal, n0Which represents white gaussian noise, is generated,
indicating strong narrowband interference that may exist on the kth subcarrier at time t (i.e., the kth subcarrier may or may not have interference at time t). In the above formula, the value of the received signal is known, the S reference signal is also known, and n is0The value of (a) is changed too fast, the energy of the value is weak, the randomness is large, and the value is generally not considered in interference suppression, so that the above formula leaves a channel matrix of a reference signal and a strong narrowband interference signal unknown, and estimation calculation is carried out on the two signal data.
Specifically, in the case of channel estimation using a reference signal, equation (4) may be employed
To calculate to obtain an estimated channel matrix of the reference signal; in the formula, in the above-mentioned formula,
an estimated channel matrix representing the corresponding reference signal on the kth subcarrier at time t, SHWhich represents the conjugate transpose of the reference signal S, also known data, and the estimated channel matrices for P reference signals, i.e., P estimated channel matrices, can be obtained according to this formula.
In addition, by substituting the formula (3) into the formula (4), the above formula (4) can also be expanded into the form of the following formula (5):
formula (5)
It can be seen that the estimated channel matrix contains strong narrowband interference signals that may exist
Wherein,
also referred to as strong narrowband interfering signals.
S204, dividing the P estimated channel matrixes into L groups, and calculating the channel estimation energy of each group of estimated channel matrixes.
When the terminal groups the P estimated channel matrices, optionally, the P estimated channel matrices may be equally divided into L groups, or unequally divided into L groups; for the convenience of grouping statistics, the present embodiment preferably divides the groups into L groups, that is, the number of estimated channel matrices in each group is the same, optionally, L ≦ P, P may be divided by L, and P and L are both integers.
Specifically, when calculating the energy of each set of estimated channel matrices, the calculation may be performed by using equation (6), where equation (6) is
Wherein i ∈ [1, L ]]The P/L represents the number of estimated channel matrices included in each group of channels, and the | | represents the norm, and the channel estimation energy of each group of estimated channel matrices can be obtained by performing norm square summation on each estimated channel matrix in each group of channels.
S206, determining whether each group of channels has interference at each moment according to the channel estimation energy of each group of estimation channel matrixes, and determining a local channel matrix corresponding to each group of channels at each moment based on the interference determination result and at least one group of estimation channel matrixes.
In the Rayleigh channel or the Rice channel, the estimated channel matrix is in the frequency domain, the channel estimation energy of the estimated channel matrix has certain continuity and correlation, and whether strong narrowband interference exists in the received signal can be estimated by utilizing the continuity and the correlation.
It should be noted that, in the present application, the OFDM system is free of interference in the initial state, and after a certain time, strong narrowband interference is added; in addition, the local channel matrix determined by the terminal is generally the channel matrix when no interference exists.
Specifically, after calculating the channel estimation energy of each group of estimated channel matrices, the terminal may perform interference identification on each group of estimated channel energies to obtain an interference determination result, and after obtaining the interference determination result, optionally, the terminal may calculate a local channel matrix corresponding to each group of channels according to the interference determination result, a preset forgetting factor, a local channel matrix when there is no interference at the latest time, and at least one group of estimated channel matrices; optionally, the terminal may perform interference identification on each set of channel estimation energy by using a preset interference identification method. In this step, the initial value of the local channel matrix when there is no interference at the latest time is the estimated channel matrix of the current time corresponding to the group of channels, and therefore, at least one group of estimated channel matrices is required in this step.
And S208, calculating strong narrowband interference signals at each moment by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and performing interference suppression on the received signals by using the strong narrowband interference signals.
Wherein each time comprises a certain time; that is, when calculating the strong narrowband interference at each time, the terminal may calculate the strong narrowband interference at a certain time.
Specifically, after the terminal calculates the local channel matrix corresponding to each group of channels, the estimated channel matrix and the local channel matrix may be used as a difference value, the difference value may be transformed according to the above formula (5) and the like, so as to calculate the strong narrowband interference signal at each time, after the strong narrowband interference signal is obtained, the terminal may use the local channel matrix obtained above as the channel matrix in the received signal, and use the received signal and the strong narrowband interference signal calculated in this step as a difference value, so as to denoise the received signal, that is, perform interference suppression on the received signal, so that the signal obtained by demodulation is more accurate when the terminal demodulates the received signal. It should be noted that, when performing interference suppression on a received signal, the time-frequency resource is not rescheduled, and the current time-frequency resource is used for performing interference suppression.
It should be noted that, in the embodiment, when performing interference suppression, the terminal performs interference suppression on the original time-frequency resource without rescheduling the time-frequency resource, so that overhead of an air interface is not increased.
In the method for suppressing the strong narrowband interference, channel estimation is firstly carried out on a received signal based on P reference signals to obtain P estimated channel matrixes, then the P estimated channel matrixes are divided into L groups, channel estimation energy of each group of estimated channel matrixes is calculated, whether interference exists in each group of channels at each moment is determined according to the estimated energy of each group of channels, a local channel matrix corresponding to each group of channels at each moment is determined based on an interference determination result and at least one group of estimated channel matrixes, finally, the strong narrowband interference signal at each moment is calculated by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and instantaneous interference suppression is carried out on the received signal by using the strong narrowband interference signal. In this embodiment, because the estimated channel matrix of each channel, the channel estimated energy of each group of channels, and the local channel matrix of each group of channels can be obtained through calculation, and whether interference information exists can be quickly judged according to the channel estimated energy, and when interference exists, the interference information can be quickly calculated by using the estimated channel matrix and the local channel matrix, that is, the interference information can be quickly sensed, so that the received signal can be quickly and instantaneously interference suppressed by using the calculated interference information within a period of time, and the decoding capability of the received signal can be effectively improved.
In another embodiment, as shown in fig. 3, another strong narrowband interference transient suppression method is provided, where this embodiment relates to a specific process how to determine whether each group of channels has interference at each time by using the estimated energy of each group of channels, and on the basis of the foregoing embodiment, in the foregoing S206, whether each group of channels has interference at each time according to the estimated energy of each group of estimated channel matrices, the method may include the following steps:
s302, performing threshold comparison on the channel estimation energy of each group of estimation channel matrix by using a preset interference identification method to obtain an interference information bit value corresponding to each group of channel estimation energy.
The preset interference identification method may include a relative comparison method, an absolute threshold comparison method, and the like, wherein the relative comparison method includes two thresholds, which are an initial threshold, a first preset threshold and a second preset threshold, respectively, the first preset threshold is greater than 0, and the second preset threshold is less than 0; the absolute threshold comparison method comprises a threshold which is an absolute preset threshold; in addition, the bit value of the interference information bit can be represented by B, which characterizes whether interference exists in each group of channels.
Specifically, after obtaining each group of channel estimation energy, the terminal may perform threshold comparison on each group of channel estimation energy through a preset interference identification method, so as to obtain an interference information bit value corresponding to each group of channel estimation energy.
Optionally, in a possible implementation, when the threshold comparison is performed by using a relative comparison method, as shown in fig. 4, the following two steps may be included:
s402, comparing the channel estimation energy of each group of estimation channel matrix with the initial threshold, the first preset threshold and the second preset threshold respectively to obtain the comparison result of each group of channels.
And S404, obtaining the interference information bit value corresponding to the estimated energy of each group of channels according to the comparison result of each group of channels.
Specifically, after each group of channel estimation energy is obtained, the threshold comparison may be performed on each channel estimation energy by using a relative comparison method of formula (7), where formula (7) may be expressed as:
when the value of i is 1, the value of i,
when i > 1:
when B is presentiWhen the value of-1 is 0,
when B is presentiWhen the value of-1 is 1,
in the formula (7), the first and second groups,
in order to be the initial threshold value, the threshold value is set,
is a first preset threshold value, and is,
is a second preset threshold value, B is an interference information bit value, i belongs to [1, L ∈]，GiRepresenting the ith set of channel estimate energies, Gi-1Represents the i-1 th group of channel estimation energy, firstJudging whether interference exists at the starting time, such as formula (7-1); in the formula (7-2), each set of channel estimation energy needs to be simultaneously combined with the channel estimation energy
And
and comparing, and finally determining whether interference exists according to the comparison result of each group of channel estimation energy and two preset thresholds. For each group B at a certain timeiAll are determined as in the previous group Bi-1And on the premise that this is the case. For example, Bi-1When 0, when it is satisfied
When, BiIs 0; otherwise, the value is 1; b isiWhen-1 is 1, when
When, BiIs 0; otherwise it is 1.
Alternatively, in another possible implementation, when the threshold comparison is performed by using an absolute threshold comparison method, as shown in fig. 5, the following two steps may be included:
and S502, comparing the channel estimation energy of each group of estimation channel matrix with the absolute preset threshold respectively to obtain the comparison result of each group of channels.
And S504, obtaining the interference information bit value corresponding to the estimated energy of each group of channels according to the comparison result of each group of channels.
Specifically, after each group of channel estimation energy is obtained, the absolute threshold comparison method of formula (8) may be adopted to perform threshold comparison on each channel estimation energy, where formula (8) may be expressed as:
in the formula (8), GthreIs one blockComparing preset thresholds, wherein each group of channel estimation energy is respectively compared with the absolute preset threshold, when a certain group of channel estimation energy is smaller than the absolute preset threshold, the group can be determined to have no interference, and an interference information bit value can also be obtained according to the comparison result of the group; when the channel estimation energy of another group is greater than or equal to the absolute preset threshold, the interference of the other group can be determined, and meanwhile, the bit value of the interference information can be determined according to the comparison result of the other group.
The above-mentioned interference recognition set can be used
And (4) showing.
And S304, determining whether each group of channels has interference at each moment according to the interference information bit value corresponding to each group of channel estimation energy.
In this step, optionally, if there is an interference information bit value of 0 at the current time, it is determined that there is no interference in the group a channels corresponding to the interference information bit value of 0 at the current time, and it is determined that there is interference in the group B channels corresponding to the interference information bit value of 1 at the current time.
The group a without interference may be a group or a plurality of groups, and the group B with interference may be a group or a plurality of groups, and the group a and the group B with interference may be a group, and the number of the group a and the group B is not limited in this embodiment.
Specifically, according to the above S404 and S504, the bit value of the interference information can be obtained, when the bit value of the interference information is 0, it is determined that no interference exists, and when the bit value of the interference information is 1, it is determined that interference exists, and then the strong narrowband interference signal when interference exists can be calculated.
The method for suppressing strong narrowband interference provided in this embodiment first performs threshold comparison on the channel estimation energy of each group of estimation channel matrix by using a preset interference identification method to obtain an interference information bit value corresponding to each group of channel estimation energy, and then determines whether each group of channels has interference at each time according to the interference information bit value corresponding to each group of channel estimation energy. In the embodiment, since the method for determining whether interference exists in each group of channels by using the bit value of the interference information is simple and fast, whether interference exists in the received signal can be determined fast by using the method, so that when interference exists in the received signal, interference suppression can be performed fast on the received signal.
In another embodiment, as shown in fig. 6, another strong narrowband interference transient suppression method is provided, where this embodiment relates to a specific process how the terminal determines a local channel matrix corresponding to each group of channels at each time according to the interference determination result and at least one group of estimated channel matrices, and on the basis of the foregoing embodiment, the determining, in the above S206, a local channel matrix corresponding to each group of channels at each time based on the interference determination result and at least one group of estimated channel matrices may include the following steps:
s602, determining a local channel matrix corresponding to the group A channel at the current moment based on the estimated channel matrix corresponding to the group A channel at the current moment and a preset forgetting factor, or based on the local channel matrix when the group A channel has no interference at the latest moment.
In this embodiment, based on the description of the above S304, it is known that the group a channels are interference-free, that is, the group a channels have interference information bit values of 0, and the group B channels have interference, that is, the group B channels have interference information bit values of 1, and then the step of S602 may include two cases, the first case is to determine the local channel matrix corresponding to the group a channels at the current time based on the estimated channel matrix corresponding to the group a channels at the current time and a preset forgetting factor; the second is to determine the local channel matrix corresponding to the group A channel at the current time based on the local channel matrix when the group A channel has no interference at the latest time.
Optionally, the first case is a scheme that when there is interference in the group B, the local channel matrix of the group a without interference is not replaced, and the group a may store the current channel matrix by using a forgetting memory method, which may be implemented by the schemeThe method comprises the following steps: according to formula (1)
Determining the local channel matrix corresponding to the group A channels at the current moment
Wherein alpha is a preset forgetting factor,
an estimated channel matrix corresponding to the group a channels at the current time,
for the local channel matrix when there is no interference for the last moment of the group a channels,
the initial value of (a) is an estimated channel matrix corresponding to the group A channels at the current moment, t is the current moment, t-1 is the latest moment, k is the kth subcarrier, and S is a reference signal. In this step, optionally, the local channel matrix corresponding to the group a channel at the current time may be determined according to the formula (1)
The local channel matrix corresponding to the group A channels at the current moment can be determined by carrying out simplified deformation on the formula (1)
This embodiment is not limited to this.
Optionally, the second case is a scheme of replacing the local channel matrix of the group a without interference when there is interference in the group B, and the scheme may include: and determining a local channel matrix when the A group of channels have no interference at the latest moment as the local channel matrix corresponding to the A group of channels at the current moment. That is, the local channel matrix corresponding to the group a channel at the current time may be replaced with the local channel matrix corresponding to the group a channel at the latest time.
S604, determining the local channel matrix of the B group channel when the interference does not exist at the latest moment as the local channel matrix corresponding to the B group channel at the current moment.
Specifically, when it is determined that interference exists in the B group channel, the local channel matrix corresponding to the B group channel at the current time may be replaced with the local channel matrix corresponding to the B group channel when interference does not exist at the latest time.
The method for suppressing strong narrowband interference provided in this embodiment determines a local channel matrix corresponding to the group a channel at the current time based on an estimated channel matrix corresponding to the group a channel at the current time and a preset forgetting factor, or based on a local channel matrix when interference does not exist at the latest time of the group a channel, and then determines a local channel matrix when interference does not exist at the latest time of the group B channel as a local channel matrix corresponding to the group B channel at the current time, so as to obtain a local channel matrix corresponding to each group of channels at each time. In this embodiment, since the local channel matrices are all channel matrices when there is no interference, the local channel matrices of each group of channels calculated by the method may obtain a more accurate result when performing interference suppression on the received signal in the following, that is, the decoding capability of the received signal may be improved.
In another embodiment, another strong narrowband interference suppression method is provided, and how the terminal calculates a strong narrowband interference signal at each time, and performs a specific process of interference suppression on a received signal by using the calculated strong narrowband interference signal in this embodiment, on the basis of the foregoing embodiment, the calculating a strong narrowband interference signal at each time may include, by using a local channel matrix corresponding to each group of channels and an estimated channel matrix corresponding to each group of channels in the foregoing S208:
according to formula (2)
Calculating strong narrow-band interference signals at each moment
Wherein, the
An estimated channel matrix corresponding to the group B channels at the current time, the
And obtaining a local channel matrix of the group B channels at the current moment, wherein S is a reference signal, t is the current moment, and m is the mth subcarrier of the group B channels.
Specifically, when it is determined that there is interference in the B-group channels, assuming that there is interference in only one B-group, the following formula for interference existence can be obtained according to the bit values of the interference information, as shown in formula (9),
in formula (9), l is a group with interference, and a sequence number m of each channel in the group with interference can be calculated according to formula (9), where m can be represented as:
according to the sequence number m, the strong narrowband interference signal can be estimated by using the formula (2), optionally, the strong narrowband interference signal at each time can be calculated according to the formula (2), and the strong narrowband interference signal at each time can also be calculated by performing simplified deformation on the formula (2), which is not limited in this embodiment; in the present step, the first step is carried out,
also known as estimating strong narrowband interfering signals.
In the formula (2), the first and second groups,
can be calculated by the above equation (4), here a known value,
local channel matrix of group B can be used at the latest moment
Instead of, and
or according to the above S602 and S604, which are known values, so that the estimated strong narrowband interference signal can be calculated according to the formula (2); here, according to the formula (4), the above formula (2) can also be expanded as shown in the following formula (10):
in the formula (10), the first and second groups,
for strong narrowband interference estimation error, if the terminal moving speed is medium-low hourly speed, in a period of time interval (millisecond or tens of milliseconds), the multipath effect and doppler effect of the fast fading channel can be considered to be unchanged, i.e. there is strong correlation, then
Neglecting gaussian white noise n0, the estimated strong narrowband interference signal in equation (10) above can be considered as a strong narrowband interference signal.
It should be noted that, in the above S602 and S604, the process of re-fitting the channel when there is strong narrowband interference includes replacing the channel matrix of all subcarriers and replacing the channel matrix of only the channel where there is strong narrowband interference signal, the combination of the first case of the above group a and the group B belongs to the channel matrix replacing only the channel where there is strong narrowband interference signal, and the combination of the second case of the above group a and the group B belongs to the channel matrix replacing all subcarriers.
The channel matrix replacing all subcarriers described above is expressed as follows:
the channel matrix described above replacing only channels where strong narrowband interfering signals are present can be expressed as follows:
After the local channel matrixes of the P channels are obtained in S602 and S604, that is, after the channel matrixes when the P channels have no interference are obtained, if the number M of all the channels in S202 is greater than P, the fitted channel matrixes may be used for performing interpolation to obtain a full-band channel matrix, that is, a channel matrix corresponding to the M channels, so as to be used for data demodulation later.
After the channel matrix of all channels and the strong narrowband interference signal are obtained through the above calculation, the received signal can be represented by equation (11), as follows:
wherein,
d represents the signal in the actual data transmission process, and the received signal can be denoised by using the strong narrowband interference signal obtained in the above equation (10), as shown in the following equation (12):
wherein,
representing the error that occurs when a strong narrowband interferer is filtered out. After the received signal is denoised, the received signal is subjected to frequency domain equalization, and equalized data can be obtained, that is, the data sent by the base station can be demodulated.
The method for suppressing strong narrowband interference provided in this embodiment may calculate a strong narrowband interference signal at each time according to a local channel matrix corresponding to each group of channels and an estimated channel matrix corresponding to each group of channels, and may perform interference suppression, that is, denoising, on a received signal by using the strong narrowband interference signal. In this embodiment, the strong narrowband interference signal can be calculated quickly according to the formula, and the received signal is denoised by using the strong narrowband interference signal, so that the instantaneous decoding capability of the received signal can be effectively improved, and the communication quality and the communication stability can be improved.
To facilitate understanding of those skilled in the art, the following describes a method for suppressing strong narrowband interference provided by the present invention in detail, and as shown in fig. 7, the method may include:
s701, channel estimation is carried out on the received signals based on the P reference signals, and P estimated channel matrixes are obtained.
S702, dividing the P estimated channel matrixes into L groups, and calculating the channel estimation energy of each group of estimated channel matrixes.
And S703, calculating the bit value of the interference information of each group of channels based on the estimated energy of each group of channels.
S704, determine whether the bit value of the interference information of each group of channels is 0, if yes, execute S705, otherwise execute S706.
S705, it is determined that the a group channel corresponding to the interference information bit value of 0 has no interference, and a local channel matrix corresponding to the a group channel at the current time is determined based on an estimated channel matrix corresponding to the a group channel at the current time and a preset forgetting factor, or based on a local channel matrix when there is no interference at the latest time of the a group channel.
S706, determining that the B group channel corresponding to the interference information bit value of 1 has interference, and determining the local channel matrix when the B group channel has no interference at the latest moment as the local channel matrix corresponding to the B group channel at the current moment.
And S707, calculating strong narrowband interference signals at each moment by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and performing interference suppression on the received signals by using the strong narrowband interference signals.
It should be understood that although the various steps in the flow charts of fig. 2-7 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-7 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 8, there is provided a strong narrowband interference suppression apparatus, including: an estimation module 10, a calculation module 11, a determination module 12 and a suppression module 13, wherein:
an estimation module 10, configured to perform channel estimation on a received signal based on P reference signals to obtain P estimated channel matrices;
a calculating module 11, configured to divide the P estimated channel matrices into L groups, and calculate channel estimation energy of each group of estimated channel matrices;
a determining module 12, configured to determine whether each group of channels has interference at each time according to channel estimation energy of each group of estimated channel matrices, and determine, based on an interference determination result and at least one group of estimated channel matrices, a local channel matrix corresponding to each group of channels at each time;
and the suppression module 13 is configured to calculate a strong narrowband interference signal at each time by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and perform interference suppression on the received signal by using the strong narrowband interference signal.
The apparatus for suppressing strong narrowband interference provided in this embodiment may implement the method embodiments described above, and the implementation principle and the technical effect are similar, which are not described herein again.
In another embodiment, as shown in fig. 9, another strong narrowband interference suppression apparatus is provided, on the basis of the above embodiment, the determining module 12 includes a comparing unit 121 and a first determining unit 122, wherein,
a comparing unit 121, configured to perform threshold comparison on the channel estimation energy of each group of estimated channel matrices by using a preset interference identification method, so as to obtain an interference information bit value corresponding to each group of channel estimation energy;
a first determining unit 122, configured to determine whether there is interference in each group of channels at each time according to interference information bit values corresponding to the channel estimation energies in each group.
Optionally, when the threshold includes an initial threshold, a first preset threshold, and a second preset threshold, the first preset threshold is greater than 0, and the second preset threshold is smaller than 0, the comparing unit 121 is further configured to compare the channel estimation energy of each group of estimated channel matrices with the initial threshold, the first preset threshold, and the second preset threshold, respectively, to obtain a comparison result of each group of channels; and obtaining the interference information bit value corresponding to the estimated energy of each group of channels according to the comparison result of each group of channels.
Optionally, when the threshold includes an absolute preset threshold, the comparing unit 121 is further configured to compare the channel estimation energy of each group of estimated channel matrices with the absolute preset threshold, respectively, to obtain a comparison result of each group of channels; and obtaining the interference information bit value corresponding to the estimated energy of each group of channels according to the comparison result of each group of channels.
Optionally, the first determining unit 122 is further configured to determine, if an interference information bit value of 0 exists at the current time, that the group a channel corresponding to the interference information bit value of 0 does not have interference at the current time, and determine that the group B channel corresponding to the interference information bit value of 1 has interference at the current time.
In another embodiment, please continue to refer to fig. 9, the determining module 12 may include: a second determining unit 123, a third determining unit 124, wherein,
a second determining unit 123, configured to determine, based on an estimated channel matrix corresponding to the group a channel at the current time and a preset forgetting factor, or based on a local channel matrix when there is no interference in the group a channel at the latest time, a local channel matrix corresponding to the group a channel at the current time;
a third determining unit 124, configured to determine a local channel matrix when there is no interference in the last time of the B group of channels as the local channel matrix corresponding to the B group of channels at the current time.
Optionally, the second determining unit 123 is further configured to determine the second threshold value according to the formula (1)
Determining the local channel matrix corresponding to the group A channels at the current moment
Wherein alpha is a preset forgetting factor,
an estimated channel matrix corresponding to the group a channels at the current time,
for the local channel matrix when there is no interference for the last moment of the group a channels,
is initially ofAnd (3) the estimated channel matrix corresponding to the group A channels at the current moment, wherein t is the current moment, t-1 is the latest moment, k is the kth subcarrier, and S is a reference signal.
Optionally, the second determining unit 123 is further configured to determine a local channel matrix when there is no interference in the last time of the group a channels as the local channel matrix corresponding to the group a channels at the current time.
In another embodiment, the suppression module 13 is further configured to suppress the second signal according to equation (2)
Calculating strong narrow-band interference signals at each moment
Wherein, the
An estimated channel matrix corresponding to the group B channels at the current time, the
And obtaining a local channel matrix of the group B channels at the current moment, wherein S is a reference signal, t is the current moment, and m is the mth subcarrier of the group B channels.
The apparatus for suppressing strong narrowband interference provided in this embodiment may implement the method embodiments described above, and the implementation principle and the technical effect are similar, which are not described herein again.
In one embodiment, a communication device is provided, which may be a terminal or a base station, and its internal structure diagram may be as shown in fig. 10. The communication device includes a connected transceiver, processor, memory, network interface, display screen, and input means. Wherein the processor of the communication device is configured to provide computing and control capabilities. The memory of the communication device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the communication device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a method of suppressing strong narrowband interference.
Those skilled in the art will appreciate that the configuration shown in fig. 10 is a block diagram of only a portion of the configuration associated with the present application and does not constitute a limitation on the communication device to which the present application applies, and that a particular communication device may include more or less components than those shown, or combine certain components, or have a different arrangement of components.
In one embodiment, a communication device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
performing channel estimation on the received signals based on the P reference signals to obtain P estimated channel matrixes;
dividing the P estimated channel matrixes into L groups, and calculating the channel estimation energy of each group of estimated channel matrixes;
determining whether each group of channels has interference at each moment according to the channel estimation energy of each group of estimation channel matrixes, and determining a local channel matrix corresponding to each group of channels at each moment based on the interference determination result and at least one group of estimation channel matrixes;
and calculating strong narrowband interference signals at each moment by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and performing interference suppression on the received signals by using the strong narrowband interference signals.
In one embodiment, a readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, performs the steps of:
performing channel estimation on the received signals based on the P reference signals to obtain P estimated channel matrixes;
dividing the P estimated channel matrixes into L groups, and calculating the channel estimation energy of each group of estimated channel matrixes;
determining whether each group of channels has interference at each moment according to the channel estimation energy of each group of estimation channel matrixes, and determining a local channel matrix corresponding to each group of channels at each moment based on the interference determination result and at least one group of estimation channel matrixes;
and calculating strong narrowband interference signals at each moment by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and performing interference suppression on the received signals by using the strong narrowband interference signals.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (12)
1. A method for suppressing strong narrowband interference, the method comprising:
performing channel estimation on the received signals based on the P reference signals to obtain P estimated channel matrixes;
dividing the P estimated channel matrixes into L groups, and calculating the channel estimation energy of each group of estimated channel matrixes;
determining whether each group of channels has interference at each moment according to the channel estimation energy of each group of estimation channel matrixes, and determining a local channel matrix corresponding to each group of channels at each moment based on the interference determination result and at least one group of estimation channel matrixes;
and calculating strong narrowband interference signals at each moment by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and performing interference suppression on the received signals by using the strong narrowband interference signals.
2. The method of claim 1, wherein the determining whether the interference exists in each group of channels at each time according to the channel estimation energy of each group of estimated channel matrices comprises:
performing threshold comparison on the channel estimation energy of each group of estimation channel matrix by using a preset interference identification method to obtain an interference information bit value corresponding to each group of channel estimation energy;
and determining whether the interference exists in each group of channels at each moment according to the interference information bit value corresponding to the estimated energy of each group of channels.
3. The method of claim 2, wherein when the threshold includes an initial threshold, a first preset threshold and a second preset threshold, the first preset threshold is greater than 0, the second preset threshold is less than 0, and the threshold comparison is performed on the channel estimation energy of each group of estimated channel matrices by using a preset interference identification method to obtain an interference information bit value corresponding to each group of channel estimation energy, including:
comparing the channel estimation energy of each group of estimation channel matrix with the initial threshold, the first preset threshold and the second preset threshold respectively to obtain a comparison result of each group of channels;
and obtaining the interference information bit value corresponding to the estimated energy of each group of channels according to the comparison result of each group of channels.
4. The method of claim 2, wherein when the threshold includes an absolute preset threshold, the threshold comparing the channel estimation energies of each group of estimated channel matrices by using a preset interference identification method to obtain the interference information bit values corresponding to each group of channel estimation energies comprises:
comparing the channel estimation energy of each group of estimation channel matrix with the absolute preset threshold respectively to obtain the comparison result of each group of channels;
and obtaining the interference information bit value corresponding to the estimated energy of each group of channels according to the comparison result of each group of channels.
5. The method according to claim 3 or 4, wherein the determining whether the interference exists in each group of channels at each time according to the bit value of the interference information corresponding to the estimated energy of each group of channels comprises:
if the interference information bit value of 0 exists at the current moment, determining that the group A channels corresponding to the interference information bit value of 0 do not have interference at the current moment, and determining that the group B channels corresponding to the interference information bit value of 1 have interference at the current moment.
6. The method of claim 5, wherein determining the local channel matrix corresponding to each group of channels at each time based on the interference determination result and at least one group of estimated channel matrices comprises:
determining a local channel matrix corresponding to the group A channel at the current moment based on an estimated channel matrix corresponding to the group A channel at the current moment and a preset forgetting factor or based on a local channel matrix when the group A channel has no interference at the latest moment;
and determining a local channel matrix when the interference does not exist at the latest moment of the B group of channels as a local channel matrix corresponding to the B group of channels at the current moment.
7. The method according to claim 6, wherein the determining the local channel matrix corresponding to the group a channel at the current time based on the estimated channel matrix corresponding to the group a channel at the current time and a preset forgetting factor comprises:
according to formula (1)
Determining a local channel matrix corresponding to the group A channels at the current moment
Wherein, the alpha is a preset forgetting factor, and the
An estimated channel matrix corresponding to the group A channels at the current time, the
For the local channel matrix when there is no interference in the last moment of the group A channels, the
Is the estimated channel matrix corresponding to the group A channels at the current moment, t is the current moment, t-1 is the latest moment, and k is the kth subcarrierAnd the S is a reference signal.
8. The method according to claim 6 or 7, wherein the determining a local channel matrix corresponding to the group a channels at a current time based on the local channel matrix when there is no interference at a latest time of the group a channels comprises:
and determining a local channel matrix when the A group of channels have no interference at the latest moment as the local channel matrix corresponding to the A group of channels at the current moment.
9. The method according to claim 7, wherein the calculating strong narrowband interference signals at each time by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels comprises:
according to formula (2)
Calculating strong narrow-band interference signals at each moment
Wherein, the
An estimated channel matrix corresponding to the group B channels at the current time, the
And obtaining a local channel matrix of the group B channels at the current moment, wherein S is a reference signal, t is the current moment, and m is the mth subcarrier of the group B channels.
10. An apparatus for suppressing strong narrowband interference, the apparatus comprising:
the estimation module is used for carrying out channel estimation on the received signals based on the P reference signals to obtain P estimated channel matrixes;
a calculating module, configured to divide the P estimated channel matrices into L groups, and calculate channel estimation energy of each group of estimated channel matrices;
the determining module is used for determining whether each group of channels has interference at each moment according to the channel estimation energy of each group of estimation channel matrixes, and determining a local channel matrix corresponding to each group of channels at each moment based on the interference determination result and at least one group of estimation channel matrixes;
and the suppression module is used for calculating strong narrowband interference signals at each moment by using the local channel matrix corresponding to each group of channels and the estimated channel matrix corresponding to each group of channels, and performing interference suppression on the received signals by using the strong narrowband interference signals.
11. A communication device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 9 when executing the computer program.
12. A readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 9.
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