CN102480314A - Self-adaptive method and device for eliminating interference of multiple antennae through diversity and mergence - Google Patents
Self-adaptive method and device for eliminating interference of multiple antennae through diversity and mergence Download PDFInfo
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Abstract
The invention discloses a self-adaptive method and device for eliminating interference of multiple antennae through diversity and mergence. The method comprises the following steps of: measuring noise power of each receiving antenna; judging whether the ratio of the sum of diagonal elements of an NI (Noise Index) matrix of a data carrier to be detected to an average value of the noise power of all receiving antennae is larger than a preset threshold value; if so, carrying out interference suppression and mergence detection on the data carrier to be detected; and if not, carrying out noninterference suppression and mergence detection on the data carrier to be detected. Starting from an NI estimation matrix as the most fundamental factor influencing an IRC (Interference Rejection Combining) merging algorithm, whether the currently obtained NI matrix contains more interference components is judged through the specific numerical value characteristic of the NI matrix, and then, an IRC algorithm or MRC (Mixed Radix Conversion) algorithm is selected, so that the system obtains the optimal performance.
Description
Technical Field
The present invention relates to the field of mobile communications technologies, and in particular, to a method and an apparatus for adaptive multi-antenna diversity combining interference cancellation.
Background
Wireless communication systems are always subject to various interferences, and for 4 th generation communication (4G) systems based on OFDMA (orthogonal frequency Division Multiple Access) technology, such as Wimax (Worldwide Interoperability for microwave Access) and LTE (Long Term Evolution), OFDM Co-Channel Interference (Co-Channel Interference, abbreviated as CCI) is always subject to more serious Interference. In a cellular network, due to the relationship of spectrum multiplexing, such interference appears as neighboring cell interference, and since an interference source generally interferes with a plurality of data carriers, it can be considered as broadband interference.
At present, the problem of adjacent cell interference control/suppression/elimination is a popular research problem and also a problem that needs to be solved by the same-frequency networking of a 4G communication system. Active approaches are usually expressed as power control, dynamic frequency multiplexing, beamforming/scheduling coordination of neighboring cells, and joint transmission in CoMP (Coordinated Multipoint transmission/reception) under discussion, and these techniques need to be discussed in more detail during standard control, and need network structure and signaling support. The passive interference cancellation technique does not depend on signaling interaction, is usually completed by a receiver, and can be widely applied to various networks.
Generally, interference cancellation at the receiving side often depends on resources in three dimensions of space, time and frequency, and considering that multi-antenna technology (MIMO) is widely adopted in fourth generation communication systems, diversity combining reception of signal response samples on multiple antennas in the spatial dimension is widely adopted by MIMO systems. The conventional multi-antenna diversity Combining algorithm has equal gain Combining, selective Combining, Maximum Ratio Combining (MRC) and the like, has very excellent performance in a noise-limited channel environment, but the performance is not ideal in an Interference-limited channel environment, and meanwhile, a multi-antenna diversity Combining algorithm mainly aiming at Interference suppression is called Interference suppression Combining (IRC), and shows excellent performance in eliminating adjacent co-channel Interference. However, the IRC algorithm is more complex than the MRC algorithm, and has no advantage or even a certain performance degradation compared to the MRC algorithm in a noise-limited scenario.
At present, the solution to the above problem is to perform adaptive switching between the IRC algorithm and the MRC algorithm, perform IRC combining in the interference limited scenario, and perform MRC combining in the noise limited scenario.
Compared with the traditional MRC combination algorithm, the core idea of the IRC algorithm is to estimate an interference and noise correlation matrix (NI matrix), process a received signal by using an inverse matrix of the NI matrix, suppress interference components and reserve signal components. Therefore, when the IRC algorithm is actually used, whether to obtain a more accurate NI matrix estimation is a key factor, that is, the more obvious the characteristics of interference in the NI matrix are embodied, the better the IRC merging algorithm is.
The following technical problems mainly exist in the prior art: the general adaptive switching technology for interference suppression combination and non-interference suppression combination is to judge the interference-free component in the received signal by the signal characteristics of the receiving side and further select the diversity combination algorithm. However, in practical use, there are often large interference components in the received signal, but there are few or no interference components contained in the NI matrix, and in this case, the performance is deteriorated by using the IRC algorithm. This is because when the number of samples participating in the statistical calculation of the NI matrix is insufficient (usually, the number of pilots in a certain resource granularity), the calculated value of the NI matrix cannot reflect the characteristics of interference, and at this time, the main component of the NI matrix obtained by estimation is noise, and cannot reflect the spatial correlation characteristics of an interference channel.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a method and a device for eliminating self-adaptive multi-antenna diversity combining interference, which can perform self-adaptive switching between an interference suppression algorithm (IRC) and a non-interference suppression algorithm (MRC).
In order to solve the above technical problem, the present invention provides a method for eliminating interference in adaptive multi-antenna diversity combining, including:
measuring noise power on each receiving antenna;
judging whether the ratio of the sum of diagonal elements of an interference noise covariance matrix (NI matrix) of the data carrier to be detected to the mean value of noise power on each receiving antenna is larger than a preset threshold value or not, and if so, performing interference suppression combination detection on the data carrier to be detected; otherwise, carrying out non-interference suppression combination detection on the data carrier to be detected.
Further, the method further comprises:
obtaining a channel response estimation value of each data carrier on a resource block through channel estimation;
and estimating the estimated value of the NI matrix of each data carrier according to the channel response estimated value.
Further, the noise power on each receiving antenna is measured by means of a null carrier or a silence frame.
Further, performing interference rejection combining detection on the data carrier to be detected specifically includes:
calculating an inverse matrix of the NI matrix of the data carrier to be detected, and calculating a merged symbol according to the following formula:
wherein,
for the ith combined data carrier symbol, RiIs the NI matrix estimate, y, for the ith data carrieriA column vector formed for the response of the ith data carrier on each receive antenna,
a column vector formed for each receive antenna channel response estimate.
Further, performing non-interference rejection combining detection on the data carrier to be detected specifically includes:
the combined symbol is calculated as follows:
the invention also provides a self-adaptive multi-antenna diversity combining interference elimination device, which comprises:
the antenna noise measuring module is used for measuring the noise power on each receiving antenna;
the adaptive decision module is used for judging whether the ratio of the sum of diagonal elements of the estimated NI matrix of the data carrier to be detected to the mean value of the noise power on each receiving antenna is larger than a preset threshold value or not;
the merging processing module is used for carrying out interference suppression merging detection on the data carrier to be detected according to the judgment result of the self-adaptive judgment module if the judgment result is positive; otherwise, carrying out non-interference suppression combination detection on the data carrier to be detected.
Further, the apparatus further comprises:
the channel estimation module is used for obtaining a channel response estimation value of each data carrier on the resource block through channel estimation;
and the NI matrix estimation module is used for estimating the estimated value of the NI matrix of each data carrier according to the channel response estimated value obtained by the channel estimation module.
Further, the antenna noise measurement module is configured to measure the noise power on each receiving antenna in a null carrier or silence frame manner.
Further, the combining and processing module is configured to, when performing interference suppression combining and detection on the data carrier to be detected, specifically include:
calculating an inverse matrix of the NI matrix of the data carrier to be detected, and calculating a merged symbol according to the following formula:
wherein,
for the ith combined data carrier symbol, RiIs the NI matrix estimate, y, for the ith data carrieriA column vector formed for the response of the ith data carrier on each receive antenna,
a column vector formed for each receive antenna channel response estimate.
Further, the combining and processing module is configured to, when performing non-interference rejection combining detection on the data carrier to be detected, specifically include:
the combined symbol is calculated as follows:
starting from the NI estimation matrix which is the most fundamental factor influencing the IRC combination algorithm, the method judges whether the currently obtained NI matrix contains more interference components or not through the specific numerical characteristics of the NI matrix, and further selects to use the IRC algorithm or the MRC algorithm, so that the system obtains the optimal performance.
By adopting the invention, when serious adjacent cell same frequency interference exists, the interference can be obviously inhibited; meanwhile, when the same frequency interference does not exist or is very weak, the stable performance can still be obtained, and the performance deterioration can not occur; in addition, when the NI matrix estimation is inaccurate, the stable performance can still be obtained, and the complexity and the operation amount under the condition can be reduced.
Drawings
Fig. 1 is a flowchart illustrating an adaptive multi-antenna diversity combining method according to an embodiment of the present invention.
Detailed Description
The main conception of the invention is as follows: firstly, estimating noise power on each antenna; secondly, comparing the average value of the background noise power of a plurality of receiving antennas with the diagonal elements of the estimated NI matrix, judging whether the NI matrix contains more interference components, and further determining whether matrix inversion and other operations are carried out; and finally, carrying out corresponding diversity combining processing.
Based on the above conception, the invention provides a self-adaptive multi-antenna diversity combining interference elimination method, which specifically adopts the following technical scheme:
measuring noise power on each receiving antenna;
judging whether the ratio of the sum of diagonal elements of an NI matrix of the data carrier to be detected to the mean value of the noise power on each receiving antenna is larger than a preset threshold value or not, and if so, carrying out IRC detection on the data carrier to be detected; otherwise, MRC combination detection is carried out on the data carrier to be detected.
Further, the method further comprises:
obtaining a channel response estimation value of each data carrier on a resource block through channel estimation;
and estimating an interference noise covariance matrix (NI matrix) for each data carrier based on the channel response estimate.
Further, the measurement of the noise power on the receiving antenna includes, but is not limited to, the following ways:
a) a null carrier manner, i.e. a noise power estimation on the receiving antenna is performed by using a null carrier without transmitting any data;
b) the silent frame mode, that is, the base station informs the user not to transmit any signal in a certain frame, and the base station side can measure the antenna noise floor power at this time.
Further, performing IRC detection on the data carrier to be detected specifically includes:
calculating an inverse matrix of the NI matrix of the data carrier to be detected, and calculating a merged symbol according to the following formula:
wherein,
for the ith combined data carrier symbol, RiIs the NI matrix on the ith carrier, yiA column vector formed for the response of the ith carrier on each receive antenna,
and column vectors formed for the channel estimation results of each antenna.
Further, performing IRC detection on the data carrier to be detected specifically includes:
the combined symbol is calculated as follows:
for the purpose of illustrating the invention, reference will now be made to the accompanying drawings and specific examples, which are illustrated in the accompanying drawings.
Fig. 1 shows a schematic flow chart of an adaptive multi-antenna diversity combining method according to an embodiment of the present invention, and as shown in fig. 1, the flow chart mainly includes the following steps:
specifically, a sequence correlation channel estimation method may be adopted, i.e. the correlation characteristics between different sequences sent by different base stations are utilized to suppress interference.
NI matrix estimation, step 130Obtaining an estimated value R of an interference noise covariance matrix NI of each data carrier on a resource block to be detectedi，
Wherein R isiIs an estimate of the NI matrix on the ith data carrier, RiDimension of [ receiving antenna number ] receiving antenna number]；
The objective of estimating the NI matrix is to use the inverse of the NI matrix as part of the processing weights, which are used to suppress interference.
where trace (a) represents the trace of the a matrix, i.e., the sum of its diagonal elements.
Represents the average of the noise floor power of the m receive antennas. Alpha is a predetermined decision threshold value and is a constant. In consideration of jitter of diagonal elements of the NI matrix in practical use, it is preferable to set α to 1.5.
wherein,
for the ith combined data carrier symbol, RiIs an estimate of the NI matrix, yiA column vector formed for the response of the ith carrier on each receive antenna,channel estimation results for each antennaThe constructed column vector.
after the step 150 or the step 160 is completed, the algorithm is ended, and the next carrier symbol to be detected is reselected to repeat the steps.
The implementation of the solution according to the invention will be described in more detail below with reference to several application examples.
Application example 1
In the present application example, it is assumed that a receiving side of a certain communication system has m receiving antennas, and m received signal samples S are obtained at the time of reception1S2...Sm。
Suppose that the system has n resource blocks to be detected, and each resource block has p data carriers to be detected and q pilot carriers.
Firstly, using no-load wave without any data to estimate antenna bottom noise, and measuring to obtain m pieces of receiving antenna bottom noise power as sigma1σ2…σm。
Selecting a resource block to be detected, estimating channel response on each receiving antenna, and performing channel estimation by using q pilot carriers on the resource block to be detected to obtain channel response estimation values of p data carriers
Wherein i and j represent the ith carrier in the jth receiving antenna.
Selecting the resource block to be detected to complete the NI matrix estimation value R of p data carriersiWhere Ri denotes the ith data carrier.
Selecting a data carrier to be detected, and judging the NI matrix R according to the following formulai：
Wherein, Trace (A) represents the trace of A matrix, namely RiThe sum of the diagonal elements;
represents the average of the noise floor power of the m receive antennas.
Assuming that the above inequality is satisfied in the present application example, R is judgediWhether the matrix is reversible or not, if so, calculating the inverse matrix, and calculating the merged symbol according to the following formula:
if R isiThe matrix is not reversible, and the problem can be solved through a diagonal loading mode.
And finishing the algorithm after finishing the algorithm, reselecting the next carrier symbol to be detected, and repeating the judging steps. And after the detection and combination of all carriers of the resource block are finished, selecting the next resource block to be detected, and repeating the algorithm until all the resource blocks to be detected are completely detected.
Application example two
Assuming that a receiving side of a communication system has m receiving antennas, m received signal samples S are obtained during reception1S2...Sm。
Suppose that the system has n resource blocks to be detected, and each resource block has p data carriers to be detected and q pilot carriers.
Firstly, using no-load wave without any data to estimate antenna bottom noise, and measuring to obtain m pieces of receiving antenna bottom noise power as sigma1σ2…σm。
Selecting a resource block to be detected, estimating channel response on each receiving antenna, and performing channel estimation by using q pilot carriers on the resource block to be detected to obtain channel response estimation values of p data carriers
Wherein i and j represent the ith carrier in the jth receiving antenna.
Selecting the resource block to be detected to complete the NI matrix estimation R of p data carriersiWherein R isiRepresenting the ith data carrier.
Selecting a data carrier to be detected, and judging the NI matrix R according to the following formulai：
Wherein, Trace (A) represents the trace of A matrix, namely RiThe sum of the diagonal elements;
represents the average of the noise floor power of the m receive antennas.
Assuming that the application example does not satisfy the inequality, selecting a data carrier to be detected from the current resource block, and obtaining a final detection merging symbol by using the following formula:
and finishing the algorithm after finishing the algorithm, reselecting the next carrier symbol to be detected, and repeating the judging steps. And after the detection and combination of all carriers of the resource block are finished, selecting the next resource block to be detected, and repeating the algorithm until all the resource blocks to be detected are completely detected.
According to the above description, the present invention can adaptively determine whether there is interference in the current channel environment, and when there is interference, whether the interference-noise covariance matrix estimated currently shows the characteristics of interference, so as to adaptively switch between the interference suppression algorithm (IRC) and the non-interference suppression algorithm (MRC).
Correspondingly, the embodiment of the invention also provides a self-adaptive multi-antenna diversity combining interference elimination device, which is used as a complete diversity combining interference elimination device and needs to comprise relevant modules such as channel estimation, NI matrix estimation, diversity combining calculation and the like as support. In this embodiment, the apparatus mainly includes the following functional modules:
the antenna noise measuring module is used for measuring the noise power on each receiving antenna;
the adaptive decision module is used for judging whether the ratio of the sum of diagonal elements of the estimated NI matrix of the data carrier to be detected to the mean value of the noise power on each receiving antenna is larger than a preset threshold value or not;
the merging processing module is used for carrying out interference suppression merging detection on the data carrier to be detected according to the judgment result of the self-adaptive judgment module if the judgment result is positive; otherwise, carrying out non-interference suppression combination detection on the data carrier to be detected.
Further, the apparatus further comprises: a channel estimation module and an NI matrix estimation module,
the channel estimation module is used for obtaining a channel response estimation value of each data carrier on the resource block through channel estimation;
and the NI matrix estimation module is used for estimating the estimated value of the NI matrix of each data carrier according to the channel response estimated value obtained by the channel estimation module.
Further, the antenna noise measurement module is configured to measure the noise power on each receiving antenna in a null carrier or silence frame manner.
Further, the combining and processing module is configured to, when performing interference suppression combining and detection on the data carrier to be detected, specifically include:
calculating an inverse matrix of the NI matrix of the data carrier to be detected, and calculating a merged symbol according to the following formula:
wherein,for the ith combined data carrier symbol, RiIs the NI matrix estimate, y, for the ith data carrieriA column vector formed for the response of the ith data carrier on each receive antenna,
a column vector formed for each receive antenna channel response estimate.
Further, the combining and processing module is configured to, when performing non-interference rejection combining detection on the data carrier to be detected, specifically include:
the combined symbol is calculated as follows:
while the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
It will be apparent to those skilled in the art that the functional blocks or steps of the present invention described above may be implemented by a general purpose computing device, centralized on a single computing device or distributed across a network of computing devices, or alternatively implemented by program code executable by a computing device, such that the steps shown and described may be executed by a computing device stored in a memory device and, in some cases, executed out of order, or fabricated separately as individual integrated circuit functional blocks, or fabricated as a single integrated circuit functional block. Thus, the present invention is not limited to any specific combination of hardware and software.
Claims (10)
1. An adaptive multi-antenna diversity combining interference cancellation method, comprising:
measuring noise power on each receiving antenna;
judging whether the ratio of the sum of diagonal elements of an interference noise covariance matrix (NI matrix) of the data carrier to be detected to the mean value of noise power on each receiving antenna is larger than a preset threshold value or not, and if so, performing interference suppression combination detection on the data carrier to be detected; otherwise, carrying out non-interference suppression combination detection on the data carrier to be detected.
2. The method of claim 1, wherein the method further comprises:
obtaining a channel response estimation value of each data carrier on a resource block through channel estimation;
and estimating the estimated value of the NI matrix of each data carrier according to the channel response estimated value.
3. The method of claim 1,
and measuring the noise power on each receiving antenna by means of a null carrier or a silent frame.
4. The method according to claim 1, 2 or 3, wherein the performing interference suppression combining detection on the data carrier to be detected specifically comprises:
calculating an inverse matrix of the NI matrix of the data carrier to be detected, and calculating a merged symbol according to the following formula:
wherein,
for the ith combined data carrier symbol, RiFor the ith data carrierNI matrix estimate of wave, yiA column vector formed for the response of the ith data carrier on each receive antenna,a column vector formed for each receive antenna channel response estimate.
5. The method according to claim 1, 2 or 3, wherein the non-interference rejection combining detection for the data carrier to be detected specifically comprises:
the combined symbol is calculated as follows:
6. an adaptive multi-antenna diversity combining interference cancellation apparatus, the apparatus comprising:
the antenna noise measuring module is used for measuring the noise power on each receiving antenna;
the adaptive decision module is used for judging whether the ratio of the sum of diagonal elements of the estimated NI matrix of the data carrier to be detected to the mean value of the noise power on each receiving antenna is larger than a preset threshold value or not;
the merging processing module is used for carrying out interference suppression merging detection on the data carrier to be detected according to the judgment result of the self-adaptive judgment module if the judgment result is positive; otherwise, carrying out non-interference suppression combination detection on the data carrier to be detected.
7. The apparatus of claim 6, wherein the apparatus further comprises:
the channel estimation module is used for obtaining a channel response estimation value of each data carrier on the resource block through channel estimation;
and the NI matrix estimation module is used for estimating the estimated value of the NI matrix of each data carrier according to the channel response estimated value obtained by the channel estimation module.
8. The apparatus of claim 6,
the antenna noise measurement module is used for measuring the noise power on each receiving antenna in a null carrier or silent frame mode.
9. The apparatus of claim 6, 7 or 8,
the merging processing module is configured to, when performing interference suppression merging detection on the data carrier to be detected, specifically include:
calculating an inverse matrix of the NI matrix of the data carrier to be detected, and calculating a merged symbol according to the following formula:
wherein,
for the ith combined data carrier symbol, RiIs the NI matrix estimate, y, for the ith data carrieriA column vector formed for the response of the ith data carrier on each receive antenna,
for each receiving antennaA column vector of trace response estimates.
10. The apparatus of claim 6, 7 or 8,
the merging processing module is configured to, when performing non-interference rejection merging detection on the data carrier to be detected, specifically include:
the combined symbol is calculated as follows:
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| CN103873129A (en) * | 2012-12-14 | 2014-06-18 | 京信通信系统（中国）有限公司 | Self-adaption diversity combining method and device |
| CN103873129B (en) * | 2012-12-14 | 2017-04-05 | 京信通信系统（中国）有限公司 | adaptive diversity merging method and device |
| WO2014183681A1 (en) * | 2013-07-10 | 2014-11-20 | 中兴通讯股份有限公司 | Base station, terminal and interference suppression method and device |
| CN104283599A (en) * | 2013-07-10 | 2015-01-14 | 中兴通讯股份有限公司 | Base station, terminal and method and device for interference rejection |
| CN104469783A (en) * | 2013-09-16 | 2015-03-25 | 联芯科技有限公司 | Same-frequency interference inhibition method applied to LTE system |
| WO2016110119A1 (en) * | 2015-01-08 | 2016-07-14 | 中兴通讯股份有限公司 | Antenna merge algorithm selection method and device |
| CN105827559A (en) * | 2015-01-08 | 2016-08-03 | 中兴通讯股份有限公司 | Selection method and device of antenna combining algorithm |
| CN113258964A (en) * | 2020-02-10 | 2021-08-13 | 大唐移动通信设备有限公司 | Interference suppression method and device, electronic equipment and storage medium |
| CN113258964B (en) * | 2020-02-10 | 2022-06-17 | 大唐移动通信设备有限公司 | Interference suppression method and device, electronic equipment and storage medium |
| CN112532286A (en) * | 2020-11-17 | 2021-03-19 | 广州技象科技有限公司 | Diversity combining mode selection method and device based on multi-antenna diversity reception |
| CN115021858A (en) * | 2021-03-05 | 2022-09-06 | 海能达通信股份有限公司 | Interference suppression method and related device, base station and storage medium |
| CN115695097A (en) * | 2021-07-30 | 2023-02-03 | 大唐移动通信设备有限公司 | Channel equalization method, equipment, device and storage medium |
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| Publication number | Publication date |
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| WO2012068863A1 (en) | 2012-05-31 |
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