CN115865594A - Passive intermodulation correction method and system based on FDD system - Google Patents
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Abstract
The invention provides a passive intermodulation correction method and system based on an FDD system, and relates to the field of passive intermodulation correction. The method comprises the following steps: selecting sending signals on two carrier waves and sending the sending signals to a PIM distortion signal module together to obtain PIM interference signals on a receiving band; synthesizing the PIM interference signal and the receiving signal to obtain an interference receiving signal; carrying out delay compensation processing on the interference receiving signal to obtain a delay compensation receiving signal; sending the delay compensation receiving signal and the sending signal to a PIM estimation module to obtain an estimated PIM interference signal; an estimated received signal is derived based on the interfering received signal and the estimated PIM interfering signal. The system comprises an interference acquisition module, an interference synthesis module, an interference delay module, an interference estimation module and an interference correction module. By the simple passive intermodulation correction processing method, PIM signals can be corrected conveniently and quickly, and the receiving performance of a communication system is improved.
Description
Technical Field
The invention relates to the field of passive intermodulation correction, in particular to a passive intermodulation correction method and system based on an FDD system.
Background
As the amount of user data in a mobile communication system increases, the demands on the throughput and data capacity of the communication system are also increasing, and there are many schemes for satisfying the demands. The most widely cited today is the Carrier Aggregation technology (CA) introduced in LTE-a, i.e. transmitting data on multiple carriers. Passive Inter Modulation (PIM) is introduced by the presence of Passive devices, such as duplexers, multiplexers, etc., in the rf transceiver. In some scenarios, the PIM signal may fall within the reception band, thereby affecting reception performance.
That is to say, in the communication system, passive intermodulation interference refers to a phenomenon that when two or more than two transmitting carriers pass through the same passive radio frequency transmission system, due to the influence of nonlinearity of the transmission system, nonlinear frequency components are generated between fundamental frequency signals to form interference, and particularly, in the background prevailing in a high-power multichannel communication system, PIM interference caused by nonlinearity in a radio frequency system increasingly affects the receiving performance. Therefore, a simple and fast method is urgently needed to correct the PIM signal at the receiving end, so as to improve the receiving performance.
Disclosure of Invention
The invention aims to provide a passive intermodulation correction method and a system based on an FDD system, which can realize the correction processing of PIM signals conveniently and quickly and improve the receiving performance of a communication system by providing a simple passive intermodulation correction processing method.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides a passive intermodulation correction method based on an FDD system, including the following steps:
selecting sending signals on two carrier waves and sending the sending signals to a PIM distortion signal module together to obtain PIM interference signals on a receiving band;
synthesizing the PIM interference signal and the receiving signal to obtain an interference receiving signal;
carrying out delay compensation processing on the interference receiving signal to obtain a delay compensation receiving signal;
sending the delay compensation receiving signal and the sending signal to a PIM estimation module to obtain an estimated PIM interference signal;
an estimated received signal is derived based on the interfering received signal and the estimated PIM interfering signal.
In some embodiments of the present invention, the step of synthesizing the PIM interference signal and the received signal to obtain the interference received signal specifically includes: the PIM interference signal is added to the received signal to obtain an interference received signal.
In the inventionIn some embodiments, the expression for estimating the PIM interference signal is: y is PIM = α Φ, wherein y PIM In order to estimate the PIM interference signal, α is a PIM interference coefficient, and Φ is a transmission signal basis matrix, which is obtained based on transmission signals on two randomly selected carriers.
In some embodiments of the present invention, the PIM interference coefficient α is estimated based on a minimum mean square error.
In some embodiments of the present invention, the expression of the estimation result of the PIM interference coefficient α is:
wherein +>
For the estimation result value of the PIM interference coefficient α, R is a correlation calculation rule, and the expression is: r is xx ＝E{x·x * }，R yΦ As a function of cross-correlation, R ΦΦ Is an autocorrelation function.
In some embodiments of the present invention, the calculating process of the PIM interference coefficient α specifically includes:
repeatedly calculating cross-correlation function R based on transmitted signal and received signal yΦ And an autocorrelation function R ΦΦ Obtaining a plurality of groups of corresponding correlation matrixes;
based on the correlation matrix, the cross-correlation function R is obtained by respectively averaging yΦ And an autocorrelation function R ΦΦ Are respectively recorded as cross-correlation function R yΦ Mean and autocorrelation function R ΦΦ An average value;
based on an autocorrelation function R ΦΦ Calculating the average value to obtain an autocorrelation function R ΦΦ Inverse of the corresponding matrix
Based on inverse matrix
And each otherCorrelation function R yΦ And obtaining an estimated result value of the PIM interference coefficient alpha by the average value.
In a second aspect, an embodiment of the present application provides a passive intermodulation correction system based on an FDD system, which includes:
the interference acquisition module is used for selecting the sending signals on the two carriers and sending the sending signals to the PIM distortion signal module together to obtain PIM interference signals on the receiving band;
the interference synthesis module is used for synthesizing the PIM interference signal and the receiving signal to obtain an interference receiving signal;
the interference delay module is used for carrying out delay compensation processing on the interference receiving signal to obtain a delay compensation receiving signal;
the interference estimation module is used for sending the delay compensation receiving signal and the sending signal to the PIM estimation module to obtain an estimated PIM interference signal;
and the interference correction module is used for obtaining an estimated receiving signal based on the interference receiving signal and the estimated PIM interference signal.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The one or more programs, when executed by the processor, implement the method as described in any of the first aspects above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method as described in any one of the above first aspects.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the invention provides a passive intermodulation correction method based on an FDD system, which comprises the steps of firstly selecting sending signals on two carrier waves and sending the sending signals to a PIM distortion signal module together to obtain PIM interference signals on a receiving band. The PIM interference signal is then added to the received signal to obtain an interfered received signal. And then, carrying out delay compensation processing on the interference receiving signal to obtain a delay compensation receiving signal synchronous with the receiving signal. And then, sending the delay compensation receiving signal and the sending signal to a PIM estimation module to obtain an estimated PIM interference signal, namely the estimated PIM interference signal. And finally, removing the estimated PIM interference signal from the interference receiving signal to obtain a final estimated receiving signal, and finishing the passive intermodulation correction processing of the receiving signal. The whole method is simple and clear, low in implementation difficulty and low in system memory resource consumption, and can conveniently and quickly implement correction processing on PIM signals and improve the receiving performance of a communication system.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of an embodiment of a passive intermodulation correction method based on an FDD system according to the present invention;
fig. 2 is a flowchart illustrating a passive intermodulation correction method based on an FDD system according to another embodiment of the present invention;
fig. 3 is a flowchart illustrating the steps of the PIM interference factor α calculation process according to an embodiment of the present invention;
fig. 4 is a block diagram of an embodiment of a passive intermodulation correction system based on an FDD system of the present invention;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention.
Icon: 1. an interference acquisition module; 2. an interference synthesis module; 3. an interference delay module; 4. an interference estimation module; 5. an interference correction module; 6. a memory; 7. a processor; 8. a communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, as presented in the figures, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures. Meanwhile, in the description of the present application, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Examples
Referring to fig. 1 and fig. 2, the method for passive intermodulation correction based on an FDD system includes the following steps:
step S101: and selecting the sending signals on the two carrier waves and sending the sending signals to the PIM distortion signal module together to obtain the PIM interference signals on the receiving band.
Most people have noise or sound distortion in the process of mobile phone communication, and even have inconvenience caused by sudden disconnection of the phone. Although we often attribute these faults to poor signal at certain specific locations by the handset vendor or network service operator, sometimes these faults are caused by distortion of the signal generated by the base station tower, one of the causes of such distortion is PIM (passive intermodulation). Fundamentally, PIM (passive intermodulation) is a process in a nonlinear device or propagation medium that produces new interference components from the interaction of spectral components of two or more input signals, whose frequencies are equal to a linear combination of integral multiples of the frequencies of the input signal components. If these new signals enter the receive band, they interfere with and distort the original signals passing between the two wireless systems. When more than one frequency is present in a device, passive intermodulation products are generated by any passive device. Thus, to ensure reliable communication performance, PIM (passive intermodulation) distortion needs to be limited or eliminated. In the above step, since there is a loop delay between the received signal and the transmitted signal, it is necessary to perform synchronization processing on the received signal and the transmitted signal. That is, the PIM interference signal on the receiving band is obtained by selecting the sending signals on the two carriers and sending the sending signals to the PIM distortion signal module together, so as to provide original data support for subsequent passive intermodulation correction processing.
For example, the selection of the transmission signals on the two carriers may be random selection or selection according to the used frequency, and the present invention does not limit the selection manner, so as to enable the selection of the transmission signals on the two carriers.
Step S102: and synthesizing the PIM interference signal and the receiving signal to obtain an interference receiving signal.
In the above steps, the PIM interference signal and the received signal are synthesized to obtain the interference received signal, that is, the sending signal is synthesized and added to the received signal, and then the estimated PIM interference signal is removed, so that the passive intermodulation correction of the received signal can be realized.
Specifically, the step of synthesizing the PIM interference signal and the received signal to obtain the interference received signal includes: the PIM interference signal is added to the received signal to obtain an interference received signal. That is, when the PIM interference signal is synthesized into the received signal, the simplest direct addition processing may be adopted, so as to obtain the received signal added with the PIM interference signal, and then the corresponding estimated PIM interference signal is simply and directly subtracted, so that the passive intermodulation correction of the received signal may be implemented. Of course, other synthesis methods may be used during the synthesis, for example, the PIM interference signal is multiplied by an adjustment coefficient and then added to the received signal, so that when the estimated PIM interference signal is removed subsequently, the corresponding ratio adjustment is performed.
Step S103: and carrying out delay compensation processing on the interference receiving signal to obtain a delay compensation receiving signal.
In the above steps, because the loop delay exists between the received signal and the transmitted signal, the interference received signal is subjected to delay compensation processing, and the obtained delay compensation received signal and the received signal can be synchronized, so that subsequent correction processing is facilitated.
Step S104: and sending the delay compensation receiving signal and the sending signal to a PIM estimation module to obtain an estimated PIM interference signal.
In the above steps, the synchronous delay compensation received signal and the synchronous transmission signal are sent to the PIM estimation module to obtain an estimated PIM interference signal, that is, how much the PIM interference signal is estimated by the system, so that the passive intermodulation correction processing of the received signal can be realized by removing the estimated PIM interference signal in the following steps.
Specifically, the expression for estimating the PIM interference signal is as follows: y is PIM = α Φ, wherein y PIM In order to estimate the PIM interference signal, α is a PIM interference coefficient, and Φ is a transmit signal basis matrix, which is obtained based on transmit signals on two randomly selected carriers.
In the above steps, the transmission signal basis matrix Φ may be obtained by obtaining transmission signals on two selected carriers, and different basis function compositions may occur when the adopted signal models are different, which does not affect subsequent processing. After the expression for estimating the PIM interference signal is constructed, the alpha is the PIM interference coefficient, namely the parameter to be estimated, so that the parameter alpha is subsequently estimated, and the accurate estimation of the PIM interference signal can be obtained.
In the prior art, a Least Squares (LS) estimation algorithm is mainly adopted for estimating a signal, and the LS-based alpha parameter estimation can be expressed as:
the specific principle can be; two transmitted signals of length N are used to form a matrix Φ, y being the original received signal of corresponding length. And calculating the signal for multiple times, calculating data with the length of N each time to obtain a group of estimated values of alpha, and averaging the plurality of groups of estimated values to obtain a final estimation result, thereby carrying out intermodulation distortion correction. The operation complexity of the scheme is high, matrix inversion is required to be carried out on signal operation with the length of N every time, and for some complex signal models, the matrix order required to be inverted is high when parameter estimation is carried out, multiple times of calculation are required, and the difficulty in algorithm implementation is greatly improved.
Correspondingly, in the embodiment of the present invention, the PIM interference coefficient α may be subjected to parameter estimation based on the minimum mean square error. The main idea is to use the correlation of the signals for parameter estimation. Wherein the interfering signal in the received signal is correlated with the transmitted signal and the non-interfering signal portion in the received signal is uncorrelated with the transmitted signal.
Specifically, the expression of the estimation result of the PIM interference coefficient α when performing parameter estimation based on the minimum mean square error may be:
wherein it is present>
For the estimation result value of the PIM interference coefficient α, R is a correlation calculation rule, and the expression is: r xx ＝E{x·x * }，R yΦ As a function of cross-correlation, R ΦΦ Is an autocorrelation function.
In the above steps, parameter estimation processing can be performed by using correlation of signals by constructing a cross-correlation function for estimating the PIM interference signal and the transmission signal base matrix, and an autocorrelation function for the transmission signal base matrix, and then constructing an estimation result expression of the PIM interference coefficient α based on the cross-correlation function and the autocorrelation function.
Specifically, referring to fig. 3, the process of calculating the PIM interference coefficient α specifically includes:
step S201: repeatedly calculating cross-correlation function R based on transmitted signal and received signal yΦ And an autocorrelation function R ΦΦ And obtaining a plurality of groups of corresponding correlation matrixes.
In the above step, the cross-correlation function R is calculated by using the transmitted and received signals with length N respectively yΦ And an autocorrelation function R ΦΦ And after repeated calculation for multiple times, multiple groups of corresponding correlation matrixes are obtained, and original data support can be provided for subsequent corresponding processing.
Step S202: respectively averaging based on correlation matrix to obtain cross-correlation function R yΦ And an autocorrelation function R ΦΦ Are respectively recorded as a cross-correlation function R yΦ Mean and autocorrelation function R ΦΦ And (4) average value.
In the above step, by applying a cross-correlation function R yΦ And an autocorrelation function R ΦΦ The averaging processing is carried out, so that the influence of white noise on the subsequent estimation result can be eliminated to a certain extent, and the subsequent calculation result is more accurate and reliable.
Step S203: based on an autocorrelation function R ΦΦ Calculating the average value to obtain an autocorrelation function R ΦΦ Inverse of the corresponding matrix
Step S204: based on inverse matrix
Cross correlation function R yΦ And obtaining an estimated result value of the PIM interference coefficient alpha by the average value.
In the above step, by applying an autocorrelation function R ΦΦ The corresponding matrix is inverted to obtain an inverse matrix
Then will be
Cross correlation function R yΦ The average value is multiplied to obtain an accurate and effective estimation result value of the PIM interference coefficient alpha.
In summary, compared to the estimation process using Least Squares (LS) estimation algorithm commonly used in the prior art, the solutions in the above steps S201 to S204 only need to perform the autocorrelation function R ΦΦ The corresponding matrix is subjected to one-time inversion operation, the operation complexity and the resource consumption can be greatly reduced compared with a least square estimation algorithm scheme, and meanwhile, the cross-correlation function R is subjected to yΦ And an autocorrelation function R ΦΦ The averaging processing is carried out, so that the influence of white noise on the subsequent estimation result can be eliminated to a certain extent, and the subsequent calculation result is more accurate and reliable. That is to say, the calculation of the estimated value of the PIM interference coefficient α is performed through the schemes in the above steps S201 to S204, which may simplify the calculation process, and is easier to implement, and the system memory consumption is smaller and the anti-noise capability is stronger.
Step S105: an estimated received signal is derived based on the interfering received signal and the estimated PIM interfering signal.
In the above step, in the process of obtaining the estimated received signal, the estimated PIM interference signal (which may be how much estimated PIM interference signal) is removed from the received signal to which the PIM interference signal is added (i.e., the interference received signal), so as to obtain the estimated received signal after the passive intermodulation correction processing (i.e., obtain the corrected received signal). Of course, if the PIM interference signal and the received signal are synthesized by addition, then the estimated received signal is obtained based on the interference received signal and the estimated PIM interference signal, and the estimated received signal is obtained by subtracting the estimated PIM interference signal from the interference received signal. Correspondingly, if another method is adopted for the synthesis processing during the synthesis, the corresponding estimated received signal can be obtained by performing the inverse processing of the synthesis processing based on the interference received signal and the estimated PIM interference signal.
Based on the same inventive concept, please refer to fig. 4, the present invention further provides a passive intermodulation correction system based on the FDD system, comprising:
the interference acquisition module 1 is used for selecting the sending signals on two carriers and sending the sending signals to the PIM distortion signal module together to obtain PIM interference signals on a receiving band;
the interference synthesis module 2 is used for synthesizing the PIM interference signal and the receiving signal to obtain an interference receiving signal;
the interference delay module 3 is used for carrying out delay compensation processing on the interference receiving signal to obtain a delay compensation receiving signal;
the interference estimation module 4 is used for sending the delay compensation receiving signal and the sending signal to the PIM estimation module to obtain an estimated PIM interference signal;
and an interference correction module 5, configured to obtain an estimated received signal based on the interference received signal and the estimated PIM interference signal.
For a specific implementation process of the system, please refer to the passive intermodulation correction method based on the FDD system provided in this embodiment, which is not described herein again.
Referring to fig. 5, fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention. The electronic device comprises a memory 6, a processor 7 and a communication interface 8, the memory 6, the processor 7 and the communication interface 8 being electrically connected to each other, directly or indirectly, to enable transmission or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 6 may be used to store software programs and modules, such as program instructions/modules corresponding to a passive intermodulation correction system based on an FDD system provided in the embodiments of the present application, and the processor 7 executes various functional applications and data processing by executing the software programs and modules stored in the memory 6. The communication interface 8 may be used for communication of signaling or data with other node devices.
The Memory 6 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 7 may be an integrated circuit chip having signal processing capabilities. The Processor 7 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
It will be appreciated that the configuration shown in fig. 5 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 5 or have a different configuration than shown in fig. 5. The components shown in fig. 5 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The above-described functions, if implemented in the form of software functional modules and sold or used as a separate product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (9)
1. A passive intermodulation correction method based on an FDD system is characterized by comprising the following steps:
selecting sending signals on two carrier waves and sending the sending signals to a PIM distortion signal module together to obtain PIM interference signals on a receiving band;
synthesizing the PIM interference signal and the receiving signal to obtain an interference receiving signal;
carrying out delay compensation processing on the interference receiving signal to obtain a delay compensation receiving signal;
sending the delay compensation receiving signal and the sending signal to a PIM estimation module to obtain an estimated PIM interference signal;
an estimated received signal is derived based on the interfering received signal and the estimated PIM interfering signal.
2. The method of claim 1, wherein the step of combining the PIM interference signal with the received signal to obtain the interfering received signal comprises: the PIM interference signal is added to the received signal to obtain an interference received signal.
3. The method of claim 1, wherein the PIM interference signal is estimated by the expression: y is PIM = α Φ, wherein y PIM In order to estimate the PIM interference signal, α is a PIM interference coefficient, and Φ is a transmission signal basis matrix, which is obtained based on transmission signals on two randomly selected carriers.
4. The method of claim 3, wherein the PIM interference coefficient α is estimated based on a minimum mean square error.
5. The method as claimed in claim 3, wherein the PIM interference coefficient α is estimated by the following expression:
wherein it is present>
For the estimation result value of the PIM interference coefficient α, R is a correlation calculation rule, and the expression is: r xx ＝E{x·x * }，R yΦ As a function of cross-correlation, R ΦΦ Is an autocorrelation function.
6. The method of claim 5, wherein the PIM interference factor α is calculated by:
repeatedly calculating cross-correlation function R based on transmitted signal and received signal yΦ And an autocorrelation function R ΦΦ Obtaining a plurality of groups of corresponding correlation matrixes;
based on the correlation matrix, the cross-correlation function R is obtained by respectively averaging yΦ And an autocorrelation function R ΦΦ Are respectively recorded as a cross-correlation function R yΦ Mean and autocorrelation function R ΦΦ An average value;
based on an autocorrelation function R ΦΦ Calculating the average value to obtain an autocorrelation function R ΦΦ Inverse of the corresponding matrix
Based on inverse matrix
Cross correlation function R yΦ And obtaining an estimation result value of the PIM interference coefficient alpha by the average value.
7. A passive intermodulation correction system based on an FDD system, comprising:
the interference acquisition module is used for selecting the sending signals on the two carriers and sending the sending signals to the PIM distortion signal module together to obtain PIM interference signals on the receiving band;
the interference synthesis module is used for synthesizing the PIM interference signal and the receiving signal to obtain an interference receiving signal;
the interference delay module is used for carrying out delay compensation processing on the interference receiving signal to obtain a delay compensation receiving signal;
the interference estimation module is used for sending the delay compensation receiving signal and the sending signal to the PIM estimation module to obtain an estimated PIM interference signal;
and the interference correction module is used for obtaining an estimated receiving signal based on the interference receiving signal and the estimated PIM interference signal.
8. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 1-6.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-6.
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| CN116436543A (en) * | 2023-06-14 | 2023-07-14 | 四川恒湾科技有限公司 | Passive intermodulation correction method based on multiple distortion sources in FDD system |
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| CN116436543A (en) * | 2023-06-14 | 2023-07-14 | 四川恒湾科技有限公司 | Passive intermodulation correction method based on multiple distortion sources in FDD system |
| CN116436543B (en) * | 2023-06-14 | 2023-08-25 | 四川恒湾科技有限公司 | Passive intermodulation correction method based on multiple distortion sources in FDD system |
| CN116633465A (en) * | 2023-07-24 | 2023-08-22 | 四川恒湾科技有限公司 | Real-time passive intermodulation detection method based on resource block as unit |
| CN116633465B (en) * | 2023-07-24 | 2023-10-13 | 四川恒湾科技有限公司 | Real-time passive intermodulation detection method based on resource block as unit |
| CN116709527A (en) * | 2023-08-09 | 2023-09-05 | 四川恒湾科技有限公司 | Scheduling method for reducing influence of passive intermodulation on uplink performance of base station |
| CN116709527B (en) * | 2023-08-09 | 2023-10-13 | 四川恒湾科技有限公司 | Scheduling method for reducing influence of passive intermodulation on uplink performance of base station |
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