CN114710382A - Interference elimination method for time division duplex multi-antenna system - Google Patents

Interference elimination method for time division duplex multi-antenna system Download PDF

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CN114710382A
CN114710382A CN202210635739.4A CN202210635739A CN114710382A CN 114710382 A CN114710382 A CN 114710382A CN 202210635739 A CN202210635739 A CN 202210635739A CN 114710382 A CN114710382 A CN 114710382A
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CN114710382B (en
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吕磊
陈英
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Sichuan Innogence Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006—Arrangements for removing intersymbol interference
    • H04L25/03178—Arrangements involving sequence estimation techniques
    • H04L25/03248—Arrangements for operating in conjunction with other apparatus
    • H04L25/0328—Arrangements for operating in conjunction with other apparatus with interference cancellation circuitry
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/06—Receivers
    • H04B1/10—Means associated with receiver for limiting or suppressing noise or interference
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
    • H04B7/0842—Weighted combining
    • H04B7/0848—Joint weighting
    • H04B7/0854—Joint weighting using error minimizing algorithms, e.g. minimum mean squared error [MMSE], "cross-correlation" or matrix inversion
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/0224—Channel estimation using sounding signals
    • H04L25/0228—Channel estimation using sounding signals with direct estimation from sounding signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006—Arrangements for removing intersymbol interference
    • H04L25/03178—Arrangements involving sequence estimation techniques
    • H04L25/03305—Joint sequence estimation and interference removal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03891—Spatial equalizers
    • H04L25/03898—Spatial equalizers codebook-based design
    • H04L25/0391—Spatial equalizers codebook-based design construction details of matrices
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention discloses an interference elimination method of a time division duplex multi-antenna system, which uses a weighting matrix W in a wireless unit AAMultiplied by the transmitted channel measurement reference signal, at a time-frequency position LATransmitting a pilot signal to a wireless unit B, the wireless unit B performing channel estimation on the pilot signal and calculating a weighting matrix W according to the channel estimation resultB(ii) a Radio unit B at time-frequency location LBTransmitting null data to radio unit A, and combining the data signal with matrix WBMultiplied and then at a time-frequency location LCTransmitting a received signal to unit a; wireless billAfter obtaining the null data, the element A combines the null data with the matrix WAMultiplying by the transpose of (1) and calculating an interference noise covariance matrix; the radio unit A uses a unit matrix in combination with a matrix WAAnd carrying out IRC output equalization on the received signal by the interference noise covariance matrix. The invention can simultaneously improve the estimation precision of the statistical information of the channel and the interference signal by combining the channel reciprocity of the TDD system with the transmitting precoding algorithm.

Description

Interference elimination method for time division duplex multi-antenna system
Technical Field
The invention relates to the field of wireless communication, in particular to an interference elimination method of a time division duplex multi-antenna system.
Background
Due to the broadcast nature of electromagnetic waves, the wide spread interference problem in wireless communication systems severely impacts system performance. In a multi-antenna system (MIMO), a transmitter and a receiver are provided with a plurality of antennas, and a physical layer algorithm can be designed by utilizing redundant degrees of freedom to suppress interference. However, the interference suppression algorithm needs to obtain statistical information of the interference signal, and in a scenario without a dedicated interference measurement pilot (e.g., in the uplink of the fifth generation mobile communication (5G)), the effective signal and the interference signal are superimposed on each other, so that it is difficult to accurately estimate the statistical information of the interference signal. In addition, the channel estimation accuracy is poor in the interference scenario, which further reduces the system performance.
For example, chinese patent with application number CN201610405867.4 discloses a double-layer precoding design method combining pilot pollution elimination in a large-scale MIMO system, in the method, a user sends a pilot sequence to a base station to estimate an uplink channel, and the base station obtains downlink channel estimation according to channel reciprocity; then, at the base station end, an outer layer precoding matrix is designed based on a zero forcing precoding idea to inhibit interference between users in a cell, finally, a channel and the outer layer precoding matrix are considered as an equivalent channel as a whole, and then an inner layer precoding matrix is designed based on a minimum mean square error criterion to inhibit interference caused by pilot frequency pollution in a system. The method proposed in this patent needs to acquire channel information of all users (including other cell users) in the system to suppress pilot pollution, and needs the number of base station antennas to tend to be infinite to satisfy its theoretical assumption, which is difficult to implement in practice.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide an interference elimination method of a time division duplex multi-antenna system, which can simultaneously improve the channel estimation precision and the interference signal statistical information estimation precision by combining the channel reciprocity of a TDD system with a transmitting precoding algorithm.
The purpose of the invention is realized by the following technical scheme:
an interference elimination method of a time division duplex multi-antenna system mainly comprises the following steps:
the method comprises the following steps: the wireless unit A uses the weighting matrix WAMultiplied by the transmitted channel sounding reference signal at the time-frequency position LATransmitting a pilot signal to radio unit By A；
Step two: radio unit B uses at time-frequency location LAReceived pilot signaly APerforming channel estimation to obtain a channel estimation result B1, and calculating a weighting matrix W according to the channel estimation result B1B；
Step three: radio unit B at time-frequency location LBTransmitting null data to radio unit A and combining the data signal with weighting matrix WBMultiplied and then at a time-frequency location LCTransmitting and receiving signal to wireless unit Ay C；
Step four: radio unit A at time-frequency location LBObtaining a received signal yBUsing a weighting matrix WAIs transposed and receives the signal yBMultiplying, and then calculating an interference noise covariance matrix by using a multiplied result;
step five: the radio unit A uses the unit matrix as the channel estimation result A1 in combination with the weighting matrix WACovariance matrix of interference noise to time frequency position LCReceived signal ofy CAnd carrying out interference suppression, merging and outputting the equalized data.
Specifically, the step one specifically comprises the following substeps:
s101, the wireless unit A designs a weighting matrix WA: when M = N, WAIs an N-dimensional unit array; m<When N is, WAThe first M columns of the N-dimensional unit array; n is the number of antennas of the wireless unit A, and M is the number of antennas of the wireless unit B;
s102, the wireless unit A uses the weighting matrix WAAfter multiplying with the transmitted channel sounding reference signal, the wireless unit A uses the weighting matrix WAAt a time-frequency position LAI.e. pilot position of downlink sub-frame transmits pilot signaly ARadio unit B at time-frequency location LAReceived pilot signaly AComprises the following steps:
Figure 158062DEST_PATH_IMAGE001
wherein H represents a downlink air interface channel from the base station to the terminal, SAIndicates the pilot signals known to radio unit A and radio unit B, nUERepresenting radio B-side noise.
Specifically, the second step specifically comprises: radio unit B uses at time-frequency location LAReceiving a pilot signaly AUsing yAAnd SAEstimating equivalent channel HWAObtaining a channel estimation result
Figure 403099DEST_PATH_IMAGE002
I.e., B1; the wireless unit B estimates the result according to the channel
Figure 510732DEST_PATH_IMAGE002
Calculating an uplink transmit precoding matrix WB：
Figure 702679DEST_PATH_IMAGE003
Wherein,
Figure 844947DEST_PATH_IMAGE004
and
Figure 995306DEST_PATH_IMAGE005
respectively, conjugate and transpose operations.
Specifically, the third step specifically includes the following substeps:
s301, wireless unit B is at time frequency position LBI.e. transmitting null data at the pilot position of the uplink sub-frame, the received signal y of radio unit aBIs a pure interference noise signal;
s302, wireless unit B is at time frequency position LCI.e. data position of uplink subframe uses WBTransmitting data signals, receiving signals of radio unit Ay CComprises the following steps:
Figure 465602DEST_PATH_IMAGE006
；
Figure 257977DEST_PATH_IMAGE007
wherein x represents an uplink data signal, I1:L(M) first L columns of the M-dimensional unit matrix, L the number of data streams, ngNBRepresenting base station side noise, yinfRepresents an uplink interference signal, (H)TIndicating the channel estimation result
Figure 395697DEST_PATH_IMAGE002
The transposing of (1).
Specifically, the fourth step specifically includes: radio unit A at time-frequency location LBObtaining a received signal yBUsing a weighting matrix WAAnd receiving the signal yBMultiplying, and then using the multiplied result to calculate an interference noise covariance matrix R:
Figure 716957DEST_PATH_IMAGE008
wherein,
Figure 64762DEST_PATH_IMAGE009
which represents the conjugate transpose operation, is,
Figure 5036DEST_PATH_IMAGE010
represents the weighting matrix WAThe transpose of (a) is performed,
Figure 121897DEST_PATH_IMAGE011
represents the weighting matrix WAConjugation of (1).
Specifically, the step five specifically comprises: the radio unit A uses a unit array I1:L(M) as a result of the channel estimation A1 in combination with the weighting matrix WACovariance matrix R with interference noise, versus time-frequency position LCReceived signal of
Figure 614058DEST_PATH_IMAGE012
Carry out interference suppression and output balanced data
Figure 918000DEST_PATH_IMAGE013
：
Figure 255441DEST_PATH_IMAGE014
Wherein,
Figure 961229DEST_PATH_IMAGE015
express unit array I1:LTransposed conjugation of (M).
The invention has the beneficial effects that:
the receiver of the invention can directly obtain the channel estimation result without operation, avoids the influence of interference signals on the channel estimation precision, can accurately estimate the statistical information of the interference signals, improves the interference suppression effect of the receiver, overcomes the problems of poor channel estimation precision and poor estimation precision of interference noise statistical information in an interference scene, and obviously improves the system performance.
Drawings
FIG. 1 is a flow chart of the method steps of the present invention;
fig. 2 is a flow chart of an implementation of the present invention.
Detailed Description
The following detailed description will be selected to more clearly understand the technical features, objects and advantages of the present invention. It should be understood that the embodiments described are illustrative of some, but not all embodiments of the invention, and are not to be construed as limiting the scope of the invention. All other embodiments that can be obtained by a person skilled in the art based on the embodiments of the present invention without any inventive step are within the scope of the present invention.
The first embodiment is as follows:
in this embodiment, as shown in fig. 1 and fig. 2, an interference cancellation method for a tdd multiple antenna system mainly includes the following steps:
the method comprises the following steps: the wireless unit A uses the weighting matrix WAMultiplied by the transmit channel sounding reference signal (which is known at radio unit B), at a time-frequency location LATransmitting a pilot signal to radio unit By A；
Step two: radio unit B uses at time-frequency location LAReceived pilot signaly APerforming channel estimation to obtain a channel estimation result B1, and calculating a weighting matrix W according to the channel estimation result B1B；
Step three: radio unit B at time-frequency location LB(the time-frequency position originally used for the wireless unit B to transmit the demodulation reference signal to the wireless unit A) transmits null data to the wireless unit A, and the data signal and the weighting matrix WBMultiplied and then at a time-frequency location LCTransmitting and receiving signal to wireless unit Ay C；
Step four: radio unit A at time-frequency location LBObtaining a received signal yBUsing a weighting matrix WAIs transposed and receives the signal yBMultiplying, and then calculating an interference noise covariance matrix by using a multiplied result;
step five: the radio unit A uses the unit matrix as the channel estimation result A1 in combination with the weighting matrix WACovariance matrix of interference noise to time frequency position LCReceived signal ofy CAnd performing Interference Rejection Combining (IRC) and outputting the equalized data.
In the embodiment, the receiver can directly obtain the channel estimation result without operation, so that the influence of the interference signal on the channel estimation precision is avoided, the statistical information of the interference signal can be accurately estimated, and the effect of interference suppression of the receiver is improved.
Wherein, in step one, a weighting matrix W is designedAThe number of transmission ports of the wireless unit A is equal to the number of antennas of the wireless unit B, and the wireless unit B has enough freedom degree to calculate the inverse matrix of the channel estimation result B1 as the weighting matrix WB。
In step two and step three of the present invention, wireless unit B uses the inverse moment of channel estimation result B1The array is used as a transmit matrix, and in step four, the wireless unit A uses a weighting matrix WAProcessing the received signal, wherein the system equivalent channel of the signal transmitted from the wireless unit B to the wireless unit A is changed into an identity matrix, which can be directly obtained without channel estimation, and the time-frequency position L of the wireless unit A in the fourth stepBWhere the received signal is a pure interference noise signal, it can be directly used to calculate an accurate interference noise covariance matrix.
By combining the above, the method provided by the embodiment can overcome the problems of poor estimation accuracy of the interference scene channel and poor estimation accuracy of the interference noise statistical information, and significantly improve the system performance.
Example two:
on the basis of the first embodiment, to further explain the inventive points of the present invention, another embodiment of the present invention is given below by taking a 5G uplink neighboring cell interference scenario as an example.
In this embodiment, the wireless unit a corresponds to a base station, the wireless unit B corresponds to a terminal, and the specific processing flow of the method is as follows:
1. the number of base station antennas is N, the number of terminal antennas in the cell is M, and the base station is interfered by the adjacent cell when receiving the terminal data of the cell;
2. base station design weighting matrix WA: w when M = NAIs an N-dimensional unit matrix, M<When N is WAThe first M columns of the N-dimensional unit array;
3. the base station uses WAAt a time-frequency position LAThe pilot frequency signal is transmitted (namely the pilot frequency position of the downlink sub-frame), and the terminal is at the time frequency position LAThe received pilot signal is
Figure 358712DEST_PATH_IMAGE001
Wherein H represents a downlink air interface channel from the base station to the terminal, SAPilot signal representing the knowledge of the base station and the terminal, nUERepresenting terminal-side noise;
4. terminal usage yAAnd SAEstimation of equivalent channel HWAObtaining a channel estimation result
Figure 415530DEST_PATH_IMAGE002
Ideally, the
Figure 556661DEST_PATH_IMAGE016
；
5. Terminal use
Figure 257901DEST_PATH_IMAGE002
Calculating an uplink transmit precoding matrix WB:
Figure 623023DEST_PATH_IMAGE003
Wherein,
Figure 924995DEST_PATH_IMAGE004
and
Figure 869817DEST_PATH_IMAGE005
respectively representing conjugate and transposition operations;
6. terminal at time frequency position LB(pilot position of uplink sub-frame) transmitting null data, receiving signal y of base stationBIs a pure interference noise signal;
7. terminal at time frequency position LC(data position of uplink subframe) using WBTransmitting a data signal, the received signal of the base station being
Figure 425564DEST_PATH_IMAGE006
；
Figure 696008DEST_PATH_IMAGE007
Wherein x represents an uplink data signal, I1:L(M) first L columns of the M-dimensional unit matrix, L the number of data streams, ngNBRepresenting base station side noise, yinfRepresents an uplink interference signal, (H)TIndicating the channel estimation result
Figure 461839DEST_PATH_IMAGE002
The transposing of (1). The reciprocity of the TDD system is used, namely, the uplink and downlink air interface channels are in a transposition relationship;
8. the base station uses WAAnd yBComputing interference noise covariance matrix
Figure 679193DEST_PATH_IMAGE008
Wherein
Figure 214080DEST_PATH_IMAGE009
Which represents the conjugate transpose operation, is,
Figure 45638DEST_PATH_IMAGE010
represents the weighting matrix WAThe transpose of (a) is performed,
Figure 33186DEST_PATH_IMAGE011
represents the weighting matrix WAConjugation of (1);
9. the base station uses WAFor yCPerforming a pretreatment
Figure 726336DEST_PATH_IMAGE017
See the ideal situation
Figure 115729DEST_PATH_IMAGE018
I.e. the first L columns of the unit matrix are the equivalent channels traveled by the uplink data.
10. Base station use I1:L(M), R pairs
Figure 462396DEST_PATH_IMAGE012
IRC equalization is carried out to obtain data after uplink equalization
Figure 202819DEST_PATH_IMAGE013
：
Figure 699660DEST_PATH_IMAGE014
Wherein,
Figure 209138DEST_PATH_IMAGE015
representing unit matrix I1:LThe transposed conjugate of (M).
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (6)

1. An interference cancellation method for a time division duplex multi-antenna system, comprising:
the method comprises the following steps: the wireless unit A uses the weighting matrix WAMultiplied by the transmitted channel sounding reference signal at the time-frequency position LATransmitting a pilot signal to radio unit By A；
Step two: radio unit B uses at time-frequency location LAReceived pilot signaly APerforming channel estimation to obtain a channel estimation result B1, and calculating a weighting matrix W according to the channel estimation result B1B；
Step three: radio unit B at time-frequency location LBTransmitting null data to radio unit A and combining the data signal with weighting matrix WBMultiplied and then at a time-frequency location LCTransmitting and receiving signal to wireless unit Ay C；
Step four: radio unit A at time-frequency location LBObtaining a received signal yBUsing a weighting matrix WAIs transposed and receives the signal yBMultiplying, and then using the result of the multiplication to calculate the interference noise co-rationA variance matrix;
step five: the radio unit A uses the unit matrix as the channel estimation result A1 in combination with the weighting matrix WACovariance matrix of interference noise to time frequency position LCReceived signal ofy CAnd carrying out interference suppression, combining and outputting the balanced data.
2. The method as claimed in claim 1, wherein the step one comprises the following sub-steps:
s101, the wireless unit A designs a weighting matrix WA: when M = N, WAIs an N-dimensional unit array; m<When N is, WAThe first M columns of the N-dimensional unit array;Nthe number of antennas of the radio unit a,Mthe number of antennas of the wireless unit B;
s102, the wireless unit A uses the weighting matrix WAAfter multiplying with the transmitted channel sounding reference signal, the wireless unit A uses the weighting matrix WAAt a time-frequency position LAI.e. pilot position of downlink sub-frame transmits pilot signaly ARadio unit B at time-frequency location LAReceived pilot signaly AComprises the following steps:
Figure 338757DEST_PATH_IMAGE001
wherein H represents a downlink air interface channel from the base station to the terminal, SAIndicates the pilot signals known to radio unit A and radio unit B, nUERepresenting radio B-side noise.
3. The method according to claim 1, wherein the second step specifically comprises: radio unit B uses at time-frequency location LAReceiving a pilot signaly AUsing yAAnd SAEstimating equivalent channel HWAObtaining a channel estimation result
Figure 787056DEST_PATH_IMAGE002
I.e., B1; the wireless unit B estimates the result according to the channel
Figure 97951DEST_PATH_IMAGE002
Calculating an uplink transmit precoding matrix WB：
Figure 571789DEST_PATH_IMAGE003
Wherein,
Figure 917320DEST_PATH_IMAGE004
and
Figure 270941DEST_PATH_IMAGE005
respectively, conjugate and transpose operations.
4. The method according to claim 1, wherein the step three specifically comprises the following sub-steps:
s301, wireless unit B is at time frequency position LBI.e. transmitting null data at the pilot position of the uplink sub-frame, the received signal y of radio unit aBIs a pure interference noise signal;
s302, wireless unit B is at time frequency position LCI.e. data position of uplink subframe uses WBTransmitting data signals, receiving signals of radio unit Ay CComprises the following steps:
Figure 554286DEST_PATH_IMAGE006
；
Figure 815503DEST_PATH_IMAGE007
wherein x represents an uplink data signal, I1:L(M) represents the first L columns of the M-dimensional unit matrix,l denotes the number of data streams, ngNBRepresenting base station side noise, yinfRepresents an uplink interference signal, (H)TIndicating the channel estimation result
Figure 15540DEST_PATH_IMAGE002
The transposing of (1).
5. The method for canceling interference in a tdd multiantenna system according to claim 1, wherein the fourth step specifically includes: radio unit A at time-frequency location LBObtaining a received signal yBUsing a weighting matrix WAIs transposed and receives the signal yBMultiplying, and then using the multiplied result to calculate an interference noise covariance matrix R:
Figure 618691DEST_PATH_IMAGE008
wherein,
Figure 717228DEST_PATH_IMAGE009
which represents the conjugate transpose operation, is,
Figure 985398DEST_PATH_IMAGE010
represents the weighting matrix WAThe transpose of (a) is performed,
Figure 39942DEST_PATH_IMAGE011
represents the weighting matrix WAConjugation of (1).
6. The method for canceling interference in a tdd multiple antenna system according to claim 1, wherein the step five specifically includes: the radio unit A uses a unit array I1:L(M) as a result of the channel estimation A1 in combination with the weighting matrix WACovariance matrix R with interference noise versus time-frequency position LCReceived signal of
Figure 204207DEST_PATH_IMAGE012
Carrying out interference suppression, merging and outputting balanced data:
Figure 739442DEST_PATH_IMAGE013
wherein,
Figure 545724DEST_PATH_IMAGE015
representing unit matrix I1:LThe transposed conjugate of (M).
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