CN115086118A - Self-interference cancellation method and system for fast-convergence adaptive digital domain - Google Patents
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Abstract
The invention discloses a self-interference cancellation method and a self-interference cancellation system for a fast-convergence adaptive digital domain, and belongs to the technical field of communication. The implementation method of the invention comprises the following steps: transmitting a training sequence at a transmitting end, and acquiring training sequence information before receiving a signal at a receiving end; a training sequence method is adopted to preliminarily estimate a self-interference channel, and the channel parameter estimation convergence time is shortened; the self-interference channel estimated by the training sequence method is used as a channel estimation initial value, the self-interference channel is estimated in real time by adopting a self-adaptive algorithm, and the self-adaptive iteration capability of channel parameters is reserved; and reconstructing a self-interference part in the received signal according to the known transmitted signal and the current self-interference channel estimation value, subtracting the estimated self-interference signal from the received signal to obtain an expected signal, realizing self-interference cancellation in a self-adaptive digital domain with rapid convergence, and further realizing high-efficiency compensation tracking of time-varying self-interference channel parameters. The training sequence selects a ZC sequence with zero autocorrelation, so that the channel parameter estimation precision can be further improved.
Description
Technical Field
The invention relates to a self-interference cancellation method and a self-interference cancellation system for a fast-convergence adaptive digital domain, and belongs to the technical field of communication.
Background
With the development of communication technology, the total amount of communication services is increased dramatically, and under a complex network environment, different spectrum spaces need to be allocated to the uplink and downlink communication links in order to avoid interference, so that a large amount of spectrum resources are occupied, and how to improve spectrum resource utilization becomes an urgent problem to be solved.
Meanwhile, the appearance of the same-frequency full duplex technology can alleviate the problem of shortage of frequency spectrum resources, and allows the transmitting and receiving links of each communication device to work in the same frequency band, so that half of the frequency spectrum resources can be saved theoretically.
However, the same operating frequency band results in the received signal not only containing the desired received signal but also containing a self-interference signal with higher power. By estimating the self-interference channel, in combination with the known transmitted signal, the received self-interference signal can be estimated, and the desired signal can be recovered. The channel estimation algorithm is therefore a key factor that affects the speed and accuracy of the self-interference estimation. In the traditional self-interference channel estimation method, the estimation method based on the training sequence is simple in calculation, the self-interference can be estimated by needing a shorter training sequence, and the method is only suitable for the constant reference channel; the adaptive algorithm can realize the tracking of the associated channel, but the initial convergence speed is slow.
Disclosure of Invention
The invention mainly aims to provide a self-interference cancellation method and a self-interference cancellation system for a self-adaptive digital domain with rapid convergence.
The purpose of the invention is realized by the following technical scheme:
the invention discloses a self-interference cancellation method and a self-interference cancellation system for a fast convergence adaptive digital domain.A training sequence is sent at a transmitting end, and training sequence information before a signal is received is obtained at a receiving end; a training sequence method is adopted to preliminarily estimate a self-interference channel, and the channel parameter estimation convergence time is shortened; the self-interference channel estimated by the training sequence method is used as a channel estimation initial value, the self-interference channel is estimated in real time by adopting a self-adaptive algorithm, and the self-adaptive iteration capability of channel parameters is reserved; and reconstructing a self-interference part in the received signal according to the known transmitted signal and the current self-interference channel estimation value, subtracting the estimated self-interference signal from the received signal to obtain an expected signal, realizing self-interference cancellation in a self-adaptive digital domain with rapid convergence, and further realizing high-efficiency compensation tracking of time-varying self-interference channel parameters.
The invention discloses a self-interference cancellation method of a fast-convergence self-adaptive digital domain, which comprises the following steps:
the method comprises the following steps: and transmitting the training sequence at the transmitting end, and acquiring training sequence information before receiving signals at the receiving end to realize training sequence identification.
And transmitting a training sequence at a transmitting end, wherein the training sequence is positioned before each packet of data of a transmitted signal and is used for time delay estimation and channel pre-estimation, and acquiring training sequence information before receiving the signal at a receiving end to realize training sequence identification. And the time delay estimation adopts a cross-correlation mode of receiving and transmitting training sequences, and the corresponding time of the highest point of a correlation peak is taken as the end time of receiving the training sequences, so that the self-interference signal receiving and transmitting time delay estimation is realized. And channel pre-estimation is realized based on the subsequent step two.
The training sequence comprises mA sequence, a ZC (Zadoff-chu) sequence. In order to ensure accurate estimation of channel parameters, the training sequence is preferably a ZC sequence with constant envelope zero autocorrelation:
. Wherein, the first and the second end of the pipe are connected with each other,jis an imaginary unit;N c taking prime number length as sequence length;nindicates sequence number in the range of 1 toN c Natural numbers in.
Step two: and (4) for the training sequence identified in the step one, preliminarily estimating a self-interference channel by adopting a training sequence method, and shortening the channel parameter estimation convergence time.
Adopting a training sequence estimation method for the training sequence identified in the step one and combining with the received and identified training sequenceY trian And known transmitted training sequenceX trian And estimating a self-interference channel and shortening the convergence time of channel parameter estimation. The pre-estimation has low requirement on the estimation precision, can reduce the length of the training sequence as required, quickly perform rough estimation on the self-interference channel, and assist the follow-up three steps of self-adaptive estimation to finish convergence.
The training sequence estimation method can only rapidly obtain the self-interference channel characteristics at the receiving training time, for the time-varying channel, the estimated channel cannot represent the subsequent channel characteristics, the estimation deviation is easy to occur, and the estimation deviation is eliminated or reduced through the self-adaptive estimation of the subsequent step three.
The training sequence estimation method comprises an LS (least square) method and an MMSE (mean-square error) method. In order to avoid complex operation in the pre-estimation process and improve the estimation efficiency, the training sequence estimation method preferably adopts an LS method, namely, a matrix operation is adopted
And obtaining a channel preliminary estimation.
Step three: and (3) for the self-interference channel preliminarily estimated in the step (II), taking the self-interference channel estimated by the training sequence method as a channel estimation initial value, estimating the self-interference channel in real time by adopting a self-adaptive algorithm, simultaneously keeping the self-adaptive iteration capability of channel parameters, ensuring that the time-varying self-interference channel parameters are tracked in real time after the channel parameter estimation is rapidly converged, improving the self-interference cancellation efficiency of a self-adaptive digital domain, and obtaining the self-interference channel parameters.
The channel parameters are iterated in a manner of
In whichW n For the value of the current channel parameter,W n+1 for the iterated next time parameter value, the initial value of the channel parameter is preliminarily estimated by the channel in the second step
Determining; x is a known transmit vectorx n (1), x n (2)……x n (N) To in order tox n (1) Indicating that the currently known transmitted signal is,x n (2) a transmitted signal representing a preamble of data,x n (N) Is shown byN-1) Transmitting signals before data;ethe value of the error coefficient is different according to different adaptive algorithms;μthe forgetting factor is a constant and controls the convergence speed and precision of the adaptive algorithm.
The self-adaptive self-interference estimation method comprises an LMS algorithm and an RLS algorithm, and preferably adopts the LMS algorithm with lower operation complexity and higher estimation precision so as to
As error coefficients for channel parameter iteration, whereind n The received signal of the previous time instant,y n a self-interference signal estimated in a previous time instant.
Step four: and after the self-interference channel estimation in the third step is finished, sending a data signal for communication, obtaining self-interference channel parameters according to the third step, filtering the known sent data signal to recover a self-interference part in a full-duplex communication receiving signal, and reconstructing an expected signal part in the receiving signal, so that self-interference cancellation of a fast-convergence self-adaptive digital domain is realized, the quality of a subsequent demodulation signal is improved, and the precision and the efficiency of simultaneous same-frequency full-duplex channel communication are improved.
After finishing the self-interference channel estimation in the third step, sending data signals for communication, according to the self-interference channel parameters obtained in the third step, filtering the known sent data signals to recover the self-interference part in the full-duplex communication receiving signals,
whereinWFor the channel parameters converged in step three,Xis a known transmit sequence. And then reconstructing the desired signal portion of the received signal
WhereinYFor the received signal containing self-interference and an expected signal, self-interference cancellation in a self-adaptive digital domain with rapid convergence is realized, the quality of a subsequent demodulation signal is improved, and the precision and the efficiency of simultaneous same-frequency full-duplex channel communication are improved.
The invention discloses a self-interference cancellation system of a self-adaptive digital domain with rapid convergence, which is used for realizing the self-interference cancellation method of the self-adaptive digital domain with rapid convergence.
The training sequence recognition module is used for sending a training sequence at the transmitting end and acquiring training sequence information before receiving signals at the receiving end to realize training sequence recognition.
And the self-interference channel estimation module is used for preliminarily estimating the self-interference channel by adopting a training sequence method for the training sequence identified by the training sequence identification module, and shortening the channel parameter estimation convergence time.
The self-interference channel self-adaptive estimation module is used for calculating a self-adaptive error coefficient, and iterating channel parameters by using a sampling self-adaptive algorithm with an initial channel estimation value of the self-interference channel pre-estimation module as an initial value to realize accurate convergence of the channel parameters.
And the reconstruction module is used for performing tap filtering on the known sending signal according to the channel parameter value estimated by the self-interference channel self-adaptive estimation module, estimating a self-interference part in the receiving signal, and then recovering an expected signal part in the receiving signal through subtraction for signal processing.
Has the advantages that:
1. the invention discloses a self-interference cancellation method and a self-interference cancellation system for a self-adaptive digital domain with rapid convergence, which adopt a self-adaptive algorithm to estimate a self-interference channel in real time, adopt a training sequence auxiliary estimation method to shorten the channel parameter estimation convergence time, simultaneously reserve the channel parameter self-adaptive iteration capability, realize self-interference cancellation of the self-adaptive digital domain with rapid convergence, and further realize high-efficiency compensation tracking of time-varying self-interference channel parameters.
2. The invention discloses a self-interference cancellation method and a self-interference cancellation system for a fast convergence adaptive digital domain.A training sequence is sent at a transmitting end, and training sequence information before a signal is received is obtained at a receiving end; a training sequence method is adopted to preliminarily estimate a self-interference channel, and the channel parameter estimation convergence time is shortened; the self-interference channel estimated by the training sequence method is used as a channel estimation initial value, the self-interference channel is estimated in real time by adopting a self-adaptive algorithm, and the self-adaptive iteration capability of channel parameters is reserved; and reconstructing a self-interference part in the received signal according to the known transmitted signal and the current self-interference channel estimation value, subtracting the estimated self-interference signal from the received signal to obtain an expected signal, realizing self-interference cancellation in a self-adaptive digital domain with rapid convergence, and further realizing high-efficiency compensation tracking of time-varying self-interference channel parameters.
3. According to the self-interference cancellation method and system for the fast convergence self-adaptive digital domain, the ZC sequences with zero self-correlation are selected as training sequences, so that the channel parameter estimation accuracy can be further improved and the self-interference cancellation efficiency of the self-adaptive digital domain can be further improved on the basis of ensuring the high accuracy of the receiving and sending time.
4. The invention discloses a self-interference cancellation method and a self-interference cancellation system for a fast convergence self-adaptive digital domain. The two modules adopt similar operation structures, and have a sequence in the completion time, so that the multiplexing of complex operation resources (such as multipliers) can be realized.
Drawings
Fig. 1 is a flow chart of a fast converging adaptive digital domain self-interference cancellation method according to the present invention.
Fig. 2 is a block diagram of self-interference channel adaptive estimation according to the present invention.
FIG. 3 is a diagram illustrating the self-interference cancellation effect of the LS algorithm of the present invention.
Fig. 4 shows the self-interference cancellation effect of the present invention using the LMS algorithm.
Fig. 5 shows the self-interference cancellation effect of the method of the present invention.
Detailed Description
For a better understanding of the objects and advantages of the present invention, reference should be made to the following detailed description taken in conjunction with the accompanying drawings and examples.
Example 1:
as shown in fig. 1, the self-interference cancellation method for fast convergence in the adaptive digital domain disclosed in this embodiment includes the following specific steps:
the near-end device first transmits a training sequence and receives. The training sequence identification module adopts a cross-correlation method to determine the position of a training sequence in a receiving sequence.
And when the training sequence identification module judges that the training sequence starts, performing self-interference channel pre-estimation. For an N-order filter, firstly, a training sequence method is adopted to obtain an initial value of a filter parameter:w 0 (1) ，w 0 (2)……w 0 (N). For receiving the recognized training sequenceY trian And known transmitted training sequenceX trian The initial value calculation method of the filter parameters adopts an LS algorithm with a simpler structure and has a calculation formula of
. The self-interference channel pre-estimation method can also adopt MMSE algorithm with more complex operation, and the calculation formula is
The method comprises matrix inversion operation and can be avoided by calculation methods such as a gradient descent method and the like. The length of the training sequence is generally a ZC sequence with prime length, and the expression is
WhereinN c For sequence length, a longer training sequence length theoretically provides a more accurate estimate of the channel and requires a longer time to obtain a channel estimate. In this embodiment, the length of the training sequence may be reduced appropriately, a coarse estimation of the self-interference channel may be obtained, and a subsequent adaptive channel estimation may complete accurate convergence of the channel parameters, thereby ensuring fast acquisition of the self-interference channel parameters.
When the training sequence identification module judges that the training sequence is ended, the near-end equipment sends a modulation signal, and performs adaptive filter parameter iteration by taking the pre-estimated channel parameter as an initial value. The adaptive algorithm can adopt LMS, RLS and other algorithms and derived adaptive methods thereof. FIG. 2 is a block diagram of an LMS self-interference channel adaptive estimation module, in which a vector is shownx n (1), x n (2)……x n (N) Obtained by shift register of the received signal, i.e. byx n (1) Indicating that the currently known transmitted signal is,x n (2) a transmitted signal representing a preamble of data,x n (N) Is shown byN-1) A transmission signal before the data. The sending signal vector is multiplied with the current filter parameter through an N-factorial arithmetic unit, and the estimation of the self-interference signal received at the moment is obtained after summationy n At reception of a signald n Minusy n As error signalse n . The error signal is multiplied by the known transmission signal by an N-factorial arithmetic unit B and multiplied by a constantμCalculating the variation of filter parameters
For post-iterative filter parameters
The known transmit signal X is filtered as the next round of parameters.
The self-interference cancellation effect of matlab simulation signals is used, single tone signals are adopted, the signal-to-noise ratio (SNR) is 40dB, and the self-interference channel fading coefficients are adjusted twice in the information transmission process. Fig. 3, 4 and 5 show the error variation estimated from the interference signal by using the LS algorithm, the LMS algorithm, and the method of the present invention, respectively. The abscissa represents time, and the ordinate represents a difference value between the self-interference signal and the reconstructed self-interference signal in the received signal at the time, which is used for measuring the estimation accuracy. From FIG. 3: the LS algorithm has a good estimation effect near the training sequence, and even if the self-interference channel is changed, the estimation parameters cannot be adjusted, so that a high estimation error is caused. From FIG. 4: the LMS algorithm can modify the channel parameters after the self-interference channel changes, improving the estimation accuracy, but in the initial stage, the parameter convergence takes too much time. From FIG. 5: the method can provide accurate self-interference channel estimation after the training sequence is finished, can complete convergence in time after the self-interference channel parameters are changed, and ensures the accuracy of the self-interference channel estimation, thereby ensuring the self-interference cancellation effect.
The above detailed description is intended to illustrate the objects, aspects and advantages of the present invention, and it should be understood that the above detailed description is only exemplary of the present invention and is not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. A self-interference cancellation method of a fast convergence adaptive digital domain is characterized in that: comprises the following steps of (a) carrying out,
the method comprises the following steps: transmitting a training sequence at a transmitting end, and acquiring training sequence information before receiving a signal at a receiving end to realize training sequence identification;
transmitting a training sequence at a transmitting end, wherein the training sequence is positioned in front of each packet of data of a transmitted signal and is used for time delay estimation and channel pre-estimation, and acquiring training sequence information before receiving the signal at a receiving end to realize training sequence identification; the time delay estimation adopts a receiving and transmitting training sequence cross-correlation mode, the corresponding time of the highest point of a correlation peak is taken as the end time of receiving the training sequence, and the self-interference signal receiving and transmitting time delay estimation is realized; channel pre-estimation is realized based on the following step two;
step two: for the training sequence identified in the step one, a training sequence method is adopted to preliminarily estimate a self-interference channel, and the channel parameter estimation convergence time is shortened;
for the training sequence identified in the first step, a training sequence estimation method is adopted, and self-interference channels are estimated by combining the received and identified training sequence and the known transmitted training sequence, so that the channel parameter estimation convergence time is shortened; the pre-estimation has low requirement on the estimation precision, can reduce the length of a training sequence as required, quickly perform rough estimation on a self-interference channel and assist the self-adaptive estimation of the subsequent step three to finish convergence;
the training sequence estimation method can only rapidly obtain the self-interference channel characteristics at the receiving training time, for a time-varying channel, the estimated channel cannot represent the subsequent channel characteristics, estimation deviation is easy to occur, and the estimation deviation is eliminated or reduced through the self-adaptive estimation of the subsequent step three;
step three: for the self-interference channel preliminarily estimated in the step two, the self-interference channel estimated by the training sequence method is used as a channel estimation initial value, the self-interference channel is estimated in real time by adopting a self-adaptive algorithm, and meanwhile, the self-adaptive iteration capability of channel parameters is reserved, so that the time-varying self-interference channel parameters are tracked in real time after the channel parameter estimation is rapidly converged, the self-interference cancellation efficiency of a self-adaptive digital domain is improved, and the self-interference channel parameters are obtained;
step four: and after the self-interference channel estimation in the third step is finished, sending a data signal for communication, obtaining self-interference channel parameters according to the third step, filtering the known sent data signal to recover a self-interference part in a full-duplex communication receiving signal, and reconstructing an expected signal part in the receiving signal, so that self-interference cancellation of a fast-convergence self-adaptive digital domain is realized, the quality of a subsequent demodulation signal is improved, and the precision and the efficiency of simultaneous same-frequency full-duplex channel communication are improved.
2. The fast converging adaptive digital domain self-interference cancellation method of claim 1, characterized in that: the training sequence comprises an m sequence and a ZC sequence; in order to ensure accurate estimation of channel parameters, a ZC sequence with constant envelope zero autocorrelation is selected as a training sequence:
(ii) a Wherein, the first and the second end of the pipe are connected with each other,jis an imaginary unit;N c taking prime number length as sequence length;nindicates sequence number in the range of 1 toN c A natural number within.
3. A fast converging adaptive digital domain self-interference cancellation method according to claim 2, characterized by: in order to avoid complex operation in the pre-estimation process and improve the estimation efficiency, the training sequence estimation method adopts an LS method, namely, a matrix operation is adopted
And obtaining a channel preliminary estimation.
4. A fast converging adaptive digital domain self-interference cancellation method according to claim 3, characterized by:
the channel parameter is iterated in a manner of
WhereinW n As a result of the current channel parameter values,W n+1 for the iterated next time parameter value, the initial value of the channel parameter is preliminarily estimated by the channel in the second step
Determining; x is a known transmit vectorx n (1), x n (2)…x n (N) To do so byx n (1) Indicating that the currently known transmitted signal is,x n (2) a transmitted signal representing a preamble of data,x n (N) Is shown byN-1) Transmitting signals before data;ethe value of the error coefficient is different according to different adaptive algorithms;μthe forgetting factor is a constant and controls the convergence speed and precision of the adaptive algorithm.
5. The fast converging adaptive digital domain self-interference cancellation method of claim 4, characterized in that: an LMS algorithm with lower operation complexity and higher estimation precision is adopted so as to
As error coefficients for channel parameter iteration, whereind n For the received signal at the present moment in time,y n is the self-interference signal estimated in the current time.
6. The fast converging adaptive digital domain self-interference cancellation method of claim 5, characterized in that: the implementation method of the fourth step is that,
after finishing the self-interference channel estimation in the third step, sending data signals for communication, according to the self-interference channel parameters obtained in the third step, filtering the known sent data signals to recover the self-interference part in the full-duplex communication receiving signals,
whereinWFor the channel parameters converged in step three,Xa known transmit sequence; and then reconstructing the desired signal portion of the received signal
WhereinYFor the received signal containing self-interference and an expected signal, self-interference cancellation in a self-adaptive digital domain with rapid convergence is realized, the quality of a subsequent demodulation signal is improved, and the precision and the efficiency of simultaneous same-frequency full-duplex channel communication are improved.
7. A fast converging adaptive digital domain self-interference cancellation system for implementing a fast converging adaptive digital domain self-interference cancellation method according to claim 1, 2, 3, 4, 5 or 6, characterized by: the self-interference channel self-adaptive estimation method comprises a training sequence identification module, a self-interference channel pre-estimation module, a self-interference channel self-adaptive estimation module and a reconstruction module;
the training sequence recognition module is used for sending a training sequence at a transmitting end and acquiring training sequence information before receiving signals at a receiving end to realize training sequence recognition;
the self-interference channel estimation module is used for preliminarily estimating a self-interference channel by adopting a training sequence method for the training sequence identified by the training sequence identification module, and shortening the channel parameter estimation convergence time;
the self-interference channel self-adaptive estimation module is used for calculating a self-adaptive error coefficient, and iterating a channel parameter by using a sampling self-adaptive algorithm with an initial channel estimation value of the self-interference channel pre-estimation module as an initial value to realize accurate convergence of the channel parameter;
and the reconstruction module is used for performing tap filtering on the known sending signal according to the channel parameter value estimated by the self-interference channel self-adaptive estimation module, estimating a self-interference part in the receiving signal, and then recovering an expected signal part in the receiving signal through subtraction for signal processing.
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| 杨杰等: "基于LMS的符号级自适应均衡算法", 《北京理工大学学报》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115913278A (en) * | 2022-12-30 | 2023-04-04 | 北京理工大学 | Full-duplex digital domain combined self-interference cancellation method and device and electronic equipment |
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| CN115086118B (en) | 2022-11-29 |
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