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CN101444054B - Method for obtaining channel reciprocity, transceiver and MIMO communication system - Google Patents

Method for obtaining channel reciprocity, transceiver and MIMO communication system Download PDF

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CN101444054B
CN101444054B CN2006800440626A CN200680044062A CN101444054B CN 101444054 B CN101444054 B CN 101444054B CN 2006800440626 A CN2006800440626 A CN 2006800440626A CN 200680044062 A CN200680044062 A CN 200680044062A CN 101444054 B CN101444054 B CN 101444054B
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channel
antenna
transceiver
matrix
reference signals
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CN101444054A (en
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马蒂尔斯·温斯特姆
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Huawei Technologies Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202Channel estimation
    • H04L25/0204Channel estimation of multiple channels
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • H04B7/0426Power distribution
    • H04B7/0434Power distribution using multiple eigenmodes
    • H04B7/0443Power distribution using multiple eigenmodes utilizing "waterfilling" technique
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202Channel estimation
    • H04L25/0224Channel estimation using sounding signals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006Arrangements for removing intersymbol interference
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006Arrangements for removing intersymbol interference
    • H04L2025/0335Arrangements for removing intersymbol interference characterised by the type of transmission
    • H04L2025/03426Arrangements for removing intersymbol interference characterised by the type of transmission transmission using multiple-input and multiple-output channels
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006Arrangements for removing intersymbol interference
    • H04L25/03343Arrangements at the transmitter end

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  • Mobile Radio Communication Systems (AREA)

Abstract

The invention provides a method for obtaining channel reciprocity, a transceiver and a Multiple Input Multiple Output (MIMO) communication system, wherein the system includes at least one transceiver A having N antennas and at least one transceiver B having N antennas, the system uses at least a first communication channel H AB from A to B and a second communication channel H BA from B to A. The main idea of the present invention is to utilize a precoding to convert the communication channel H AB and H BA to have identical characteristics. The invention also provides the transceiver and the MIMO communication system which implements the method of the invention.

Description

Obtain method, transceiver and the MIMO communication system of channel reciprocity
Technical field
The present invention relates to radio communication, relate in particular to a kind of method of definite communication channel, a kind of transceiver and a kind of MIMO communication system of implementing this method.
Background technology
All adopt in the wireless communication system of many antennas at transmitter and receiver both sides, promptly in multiple-input and multiple-output (MIMO) system of common name, will use which channel if transmitter is known communication in advance, performance will improve a lot.In this case, can use the precoding of many types of suggestion once, as preequalization [1], the singular value decomposition of utilizing water-filling algorithm (water filling) (singular valuedecomposition) [2] under the Single User MIMO situation, and dirty paper (dirty paper) precoding [3] also suitable to the multiuser MIMO situation.(the prior art reference in [] is listed in the ending of specification)
Originally the MIMO Communication Studies is devoted to improve performance unidirectional in the Radio Link, is different because it is believed that the demand of throughput on the link both direction.But now people more and more pay close attention to respectively on the both direction of Radio Link, and promptly up link and down link carry out MIMO communication.This two-way MIMO that has high robust (robust) and/or high-throughput on both direction communicates by letter very valuable to all high situation of the two-way demand of Radio Link.
Flat fading, no precoding, have a N TIndividual transmitting antenna and N RIn the mimo system of individual reception antenna, input/output relation can be expressed as:
y=Hx+n (1)
In the formula (1), x is the N of emission symbol T* 1 vector, y, n are respectively the N of receiving symbol R* 1 vector and noise, H are the N of channel coefficients R* N TMatrix.Thereby transmitter symbol N on mimo channel H THeavy spatial reuse (N T-fold spatiallymultiplexed), in other words, N TIndividual stream is parallel the transmission, can make spectrum efficiency increase N in theory TDoubly.
Linear predictive coding means introduces N in (1) T* N SPre-coding matrix W comes the symbol in the vector x is carried out precoding.The dimension N of row SCan select less than N T, at this moment x is modified to N S* 1 dimension.Therefore, N SIndividual stream is parallel the transmission.The input/output relation of linear precoding MIMO system is expressed as:
y=HWx+n (2)
Equally, nonlinear precoding can use for example THP precoding (Tomlinson-Harashima precoding) [7] to realize, has wherein defined feedforward and feedback filter matrix.The general introduction of linear/non-linear precoding is referring to [8].
When carrying out nonlinear precoding, in order to select to be applied in pre-coding matrix W optimum in the formula (2), or feedforward and feedback pre-coding matrix, need know the statistical information and the channel H of receiver noise.Also need forward channel quality information so that in the system that uses adaptive coding and modulating (AMC), correct modulation and code rate are set.
In Frequency Division Duplexing (FDD) (FDD) wireless communication system, forward direction is more much bigger than the coherence bandwidth of wireless channel usually with the frequency interval of reverse link.The channel that this means the tranmitting frequency place is unknown, and simultaneously, in order to adopt AMC and/or advanced MIMO precoding technique, the feedback of forward channel information needs receiver to be transmitted into transmitter by backward channel.Thereby this feedback has increased the spectrum efficiency that the signaling consumption of backward channel has reduced system.In addition, when adopting feedback, feedback may be made mistakes, and makes the performance severe exacerbation of MIMO precoding technique.Equally, on the link in the opposite direction (backward channel becomes forward channel at this moment, and vice versa), the MIMO emission faces identical expense and feedback error issues.
Prior art can be divided into two classes.In the first kind, thereby transmitter can be known the mimo channel coefficient and can use the precoding that any kind needs.In second class, receiver has been owing to grasped the information of mimo channel coefficient, can select one and feed back the index (index) of selected precoder from one group of known available precoder.
Prior art in the first kind [4] has been discussed the one way link emission of base station to the user, and this system is made up of a base station and K the single antenna user by M transmitting antenna.Each user estimates M * 1 forward channel, in a cycle of training forward channel coefficient estimation value is modulated to reverse carrier wave and sends to transmitter.Transmitter will obtain all K user's forward channel information.
Belong to [5] and [6] of the first kind, in the MIMO-OFDM system, introduce direct channels feedback (Direct Channel Feed Back, DCFB) method is fed back the forward channel coefficient with the forward channel index modulation to reverse pilot sequence (pilot sequence).Other reverse pilot sequence is used for the backward channel coefficient is estimated.Transmitter is optimized forward emitted according to the forward channel coefficient that obtains again.
Another example PCT/CN2006/001403 of prior art belongs to the second above-mentioned class, and it adopts the code table of available linear predictive coding matrix W.Receiver is estimated mimo channel, select a desirable pre-coding matrix, and the index of this matrix in the code table fed back to transmitter, this desirable pre-coding matrix is in some sense near mimo channel being carried out the desirable pre-coding matrix that characteristic value decomposition obtains.
All use in the system of many antenna emissions at uplink downlink, the problems referred to above are more outstanding.If the up-downgoing channel separates, optimum transmit and receiving filter need all calculate the up-downgoing channel.Therefore, amount of calculation need double.This may make receiver need be equipped with more expensive hardware and/or produce bigger power consumption.
Summary of the invention
The invention provides the solution or the mitigation scheme of prior art problem, design a kind of method of in the MIMO communication system, determining the uplink downlink communication channel characteristics, so that computation complexity is minimum, and minimum to the needs of communication channel characteristics feedback.
A kind of respective receiver and corresponding M IMO communication system are provided simultaneously.
The present invention utilizes linear MIMO precoding to generate equivalent mimo system, even wherein original up-downgoing mimo channel is different fully because of Frequency Division Duplexing (FDD), the up-downgoing mimo channel that present embodiment obtains also identical (multiplying each other with a scalar constant after Hermetian (Hermitian) transposition) is seen Fig. 1.This equivalent system can be used by known senior linearity or nonlinear precoding algorithm in second step then.
The present invention compares with prior art reference [4] [5] [6], and difference is that MIMO communication is two-way and does not need to obtain the mimo channel coefficient of " truly ".So the embodiment of the invention makes up-downgoing mimo channel equivalence (equal) by adopting linear predictive coding, so that the estimated value of uplink channel can be directly used in the optimization of down link.
Optimum transmit filter and optimum reception filter can be as [1] described linear predictive coding matrix, also can be as the combination of [8] described pre-coding matrix and feedback filter, and nonlinear precoding is provided.The calculating of optimum transmit and receiving filter based on channel matrix must be for known to the Design of Filter algorithm, and the optimum filter of transmitting-receiving both sides obtains simultaneously.
If the mimo channel matrix is identical or equivalent in transceiver mode to uplink downlink, can reduce amount of calculation this moment greatly, because can directly obtain the optimum reception filter calculating optimum emission filter time.Therefore, this optimization is only calculated and need be carried out once.
In addition, compare, need not pre-coding matrix is quantified as near a pre-coding matrix in one group of available pre-coding matrix in the code table with the second class prior art.Simultaneously, need not to feed back this precoding index, and this feedback may be made mistakes when sending on wireless channel.
As shown in Figure 2, equate mimo channel, all utilize expression formula (2) to carry out linear predictive coding at uplink downlink in order to generate uplink downlink.
In order to realize the arrangement of Fig. 1, two transceivers all will carry out channel characteristic estimation with the data that receive, and these characteristics of channel preferably multiply by after a scalar number carries out the amplitude adjustment, at the emission pusher side as linear predictive coding.
Provide an example among Fig. 3.Up channel is estimated, obtained scalar as the normalization constant.Then this up channel is carried out the Hermitian transposition, as the linear predictive coding of downlink.Down channel is adopted similar method.Equivalent system is seen Fig. 4, wherein c UL H DL H ^ UL * = ( k · c DL H UL H ^ DL * ) * , Wherein k is a scalar constant.
After obtaining equivalent mimo system as shown in Figure 4, can estimate this up-downgoing channel that equates.Because special construction of the present invention, at the two ends of link, transmitting channel can be directly by the Hermitian transposition acquisition of receive channel estimated value.Therefore, this equivalent system can adopt senior linearity or the non-linear emission precoding technique that needs channel information.And this equivalent system also can adopt other technology that needs channel information, comprises Adaptive Modulation, adaptive coding and adaptive power control etc.
Description of drawings
Below in conjunction with accompanying drawing the embodiment of the invention is described.
Fig. 1 is the schematic diagram that two different communication channels is converted to the characteristic of two channels much at one of the present invention;
Fig. 2 is the schematic diagram of precoding notion of the present invention;
Fig. 3 is the schematic diagram that the uplink downlink channel is carried out precoding of the present invention;
Fig. 4 is the schematic diagram that carries out the equivalent mimo system that precoding obtains;
The schematic diagram of Fig. 5 for adopting orthogonal reference signal that communication channel is estimated;
Fig. 6 is the use schematic diagram of interior precoder of the present invention.
Embodiment
Suppose that a mimo system is made up of two the transceiver A and the B of a wireless links, each transceiver has N antenna and is used to receive and send messages.The carrier frequency that communication is used on the both direction between A and the B is different, so the communication on the both direction can the phase mutual interference.
To communicate, define 2N orthogonal reference signal for ease of channel estimating, be called pilot tone.This 2N pilot tone is divided into two groups, every group N, with " pilot tone 1 " and " pilot tone 2 " expression.Should be noted that reference signal not necessarily wants quadrature, but the reference signal of quadrature can be improved performance.Preferred reference signal will have low cross correlation at least.During the reference signal quadrature, they can be time quadratures, and/or frequency orthogonal, and/or coded orthogonal.
In order to obtain the characteristic estimating value of mimo channel, used one group of N orthogonal pilot frequency sequence (each transmitting antenna uses) in the pilot tone 2, referring to Fig. 5.These pilot tones are used for estimating H respectively ABAnd H BA" truly " mimo channel of expression.
When the ends A of communication link and B utilize one group of orthogonal reference signal in the pilot tone 2 characteristic of these channels is estimated as respectively
Figure S2006800440626D00061
With
Figure S2006800440626D00062
The time, obtain the normalization constant and come the compensating for path loss.For example, can be calculated as follows:
c A = 1 | | H ^ BA | | F With
c B = 1 | | H ^ AB | | F
‖ ‖ wherein FFrobenius norm for this channel.Normalization also is optionally, can significantly improve systematic function.
Respectively press following formula selection wire pre-coding matrix at A and B place this moment:
W A = c A H ^ BA *
W B = c B H ^ AB *
Use these pre-coding matrixes by following formula respectively at A and B place then and carry out precoding, to obtain the channel of equivalence:
G AB = H AB W A = c A H AB H ^ BA *
G BA = H BA W B = c B H BA H ^ AB *
Should be noted that, except top used Hermitian transposed matrix channel estimation value
Figure S2006800440626D00074
With
Figure S2006800440626D00075
In addition, common transposed matrix
Figure S2006800440626D00076
With
Figure S2006800440626D00077
Also be available.In fact, to conventional channel estimated value transposed matrix
Figure S2006800440626D00078
With
Figure S2006800440626D00079
, the Hermitian transposed matrix gets only that the complex conjugate of each element in these channel estimation values obtains.
If adopt the channel estimating of " pilot tone 2 " to have good performance, this moment these two mimo channels just each other the complex-conjugate transpose matrix multiply by a scalar constant, perhaps, if use be
Figure S2006800440626D000710
With
Figure S2006800440626D000711
Then common each other transposed matrix multiply by a scalar constant.
G AB = k · G BA *
Second group of orthogonal pilot frequency sequence of " pilot tone 1 " expression is all with that organizes member's quadrature in pilot frequency sequence " pilot tone 2 " among Fig. 5." pilot tone 1 " is used for respectively each side at Radio Link to G ABAnd G BAEstimate.Estimated value is used
Figure S2006800440626D000713
With
Figure S2006800440626D000714
Expression.The same with the front, quadrature is not necessary, but can improve performance.
Pre-coding matrix W AAnd W BRenewal must follow channel dynamics.Each pilot tone may be separated (orthogonallyseparated in time and/or frequency) by quadrature in the ofdm system on time and/or frequency.If this method is applied to ofdm system, above-mentioned matrix must be pressed channel under the situation of frequency separation coherence bandwidth calculates, and must press the coherence time of channel and calculate under the situation of time-division.
Now, transmitter can use senior precoding technique, as adopt nonlinear precodings such as the characteristic value decomposition of power water filling on the eigenmodes or THP (Tomlinson-Harashima precoding) precoding, because at the A place, carrying out the required A of this precoding is according to the Hermitian transposition of B to A channel characteristic estimation value, promptly to the channel of B G ^ AB = k · G ^ BA * Obtain, wherein k is a constant.
Equally, at the B place, B is according to the Hermitian transposition of A to the B channel estimation value, promptly to the channel of A G ^ BA = k ′ · G ^ AB * Obtain, wherein k ' is a constant.
The input/output relation of linear predictive coding mimo system is (being got by (2))
y=HWx+n
When also using linear filter R to estimate the emission vector x, receiver has
x ^ = RHWx + n
In provided the optimization method different with W to R.For example, use in the example, singular value decomposition is used for linear predictive coding, decompose square mimo channel matrix H by following formula at one
H=UΛV *
Wherein the row among U and the V comprise quadrature and normalized left and right sides singular vector (left and right singular vectors) respectively, and singular value is positioned on the diagonal of diagonal matrix Λ.If the emission pre-coding matrix selects for use W=V and receiving filter to select R=U for use *, equivalent system can be
x ^ = U * UΛ V * Vx + U * n = Λx + U * n
As can be seen, because diagonal matrix Λ, the emission in the vector x is intersymbol to influence each other at the estimated value vector
Figure S2006800440626D00085
In be completely removed (anti-interference).This needs transmitter and receiver to know that the situation of this channel is so that can calculate linear predictive coding matrix R and W in using.In addition, if up-downgoing channel difference then must be carried out channel singular value decomposition H=U Λ V respectively to the up-downgoing channel *, and this computational costs costliness.In the present invention, this calculating only need be carried out once, because up-downgoing mimo channel matrix equates.
On the other hand, in the present invention, the linear predictive coding of emission symbol must be undertaken so that generate identical channel at uplink downlink by Fig. 2.As shown in Figure 6, carry out " outside " after the precoding, for example adopt above-mentioned singular value decomposition, the symbol after the precoding must through " interior " precoder once more precoding to generate identical up-downgoing channel.Therefore shortcoming compared with prior art of the present invention is to need " interior " precoding structure.But the multiplicative complexity of matrix that interior precoding is relevant and vector sees Table the comparison in 1 far below singular value decomposition.
The complexity of singular value decomposition increases with cube value of antenna amount N, and matrix-vector multiplication only increases with its square value.Therefore, replace singular value decomposition with matrix-vector multiplication and greatly reduce computation complexity.
Table 1 carries out singular value decomposition and the required amount of calculation of matrix-vector multiplication, and wherein N is the size of square formation.
Computing Operand singular value decomposition [9] Operand matrix-vector multiplication
The multiplication number of times 18N 3 N 2
The addition number of times 9N 3 N 2-1
Table 1
List of references
A.Scaglione,P.Stoica,S.Barbarossa,G.B.Giannakis,and?H.Sampath,“Optimal?designs?for?space-time?linear?precoders?and?decoders”,IEEETrans.Signal?Processing,vol.50,pp.1987-2006,July?1999.
I.E.Telatar,“Capacity?of?Multi-Antenna?Gaussian?channels”,EuropeanTransactions?on?Telecommunications,vol.10,no.6,pp.585-595,Nov./Dec.1999.
U.Erez?and?S.ten?Brink,“A?Close-to-Capacity?Dirty?Paper?PrecodingScheme”,IEEE?transactions?on?information?theory,vol.51,No.10,October2005,p.3417-3432.
T.Marzetta?and?B.Hochwald,“Fast?transfer?of?channel?state?information?inwireless?systems”,submitted?to?IEEE?Transactions?on?Signal?Processing,2004,http://mars.bell-labs.com/papers/channel_estimation/FDDvsTDD.pdf
IEEE802.16e-04/422,“Improvements?to?the?uplink?channel?sounding?forOFDMA”,IEEE?BWA?WG,2004-04-11,http://www.ieee802.org/16/tge/contrib/C80216e-04_422.pdf
3GPP?R1-050516,“Additional?details?on?DCFB?for?obtaining?MIMOchannel?information?at?Node?B”,Motorola,Seoul,Korea,November?2005.
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O.Simeone,Y-Bar-Ness?and?U.Spagnolini,“Linear?and?nonlinearpreequalization/equalization?for?MIMO?Systems?with?long?term?channel?stateinformation?at?the?transmitter”,IEEE?Transactions?on?wireless?communications,p.373-378,Vol3.No.2,March?2004.
P.Vandenameele,L.van?Der?Perre,B.Gyselinckx,“An?SDMA?algorithmfor?High-Speed?WLAN?Performance?and?complexity”,Global?TelecommunicationsConference,pp.189-194,November?1998.

Claims (16)

1.一种多入多出MIMO通信系统中获得通信信道互易性的方法,其中,所述系统包括至少一个多天线收发器A和至少一个多天线收发器B,所述系统至少使用从多天线收发器A到多天线收发器B的第一通信信道HAB和从多天线收发器B到多天线收发器A的第二通信信道HBA进行A和B间的通信,其特征在于,所述方法包括:1. A method for obtaining communication channel reciprocity in a MIMO communication system, wherein the system includes at least one multi-antenna transceiver A and at least one multi-antenna transceiver B, and the system uses at least one multi-antenna transceiver A first communication channel H AB from antenna transceiver A to multi-antenna transceiver B and a second communication channel H BA from multi-antenna transceiver B to multi-antenna transceiver A communicate between A and B, characterized in that The methods described include: 所述多天线收发器A的N个天线通过所述第一通信信道HAB向所述多天线收发器B发射第一组N个参考信号,其中每个天线发射一个参考信号;The N antennas of the multi-antenna transceiver A transmit a first group of N reference signals to the multi-antenna transceiver B through the first communication channel HAB , wherein each antenna transmits a reference signal; 所述多天线收发器B的N个天线接收所述多天线收发器A发射的第一组N个参考信号,其中每个天线接收一个参考信号;The N antennas of the multi-antenna transceiver B receive the first group of N reference signals transmitted by the multi-antenna transceiver A, wherein each antenna receives a reference signal; 所述多天线收发器B根据接收的第一组N个参考信号获得第一通信信道HAB的特性估计值
Figure FSB00000334601100011
The multi-antenna transceiver B obtains the characteristic estimation value of the first communication channel H AB according to the received first group of N reference signals
Figure FSB00000334601100011
所述多天线收发器B的N个天线通过所述第二通信信道HBA向所述多天线收发器A发射第一组N个参考信号,其中每个天线发射一个参考信号;The N antennas of the multi-antenna transceiver B transmit a first group of N reference signals to the multi-antenna transceiver A through the second communication channel HBA , wherein each antenna transmits a reference signal; 所述多天线收发器A的N个天线接收所述多天线收发器B发射的第一组N个参考信号,其中每个天线接收一个参考信号;The N antennas of the multi-antenna transceiver A receive the first group of N reference signals transmitted by the multi-antenna transceiver B, where each antenna receives one reference signal; 所述多天线收发器A根据接收的第一组N个参考信号获得第二通信信道HBA的特性估计值
Figure FSB00000334601100012
The multi-antenna transceiver A obtains the characteristic estimation value of the second communication channel H BA according to the received first group of N reference signals
Figure FSB00000334601100012
采用
Figure FSB00000334601100013
的转置矩阵作为第一通信信道HAB的预编码矩阵,对第一通信信道HAB进行预编码,生成信道GAB,所述转置矩阵为hermitian转置矩阵或普通的转置矩阵;
use
Figure FSB00000334601100013
The transposition matrix is used as the precoding matrix of the first communication channel H AB , the first communication channel H AB is precoded, and the channel G AB is generated, and the transposition matrix is a hermitian transposition matrix or a common transposition matrix;
采用
Figure FSB00000334601100021
的转置矩阵作为第二通信信道HBA的预编码矩阵,对第二通信信道HBA进行预编码,生成信道GBA,所述转置矩阵为hermitian转置矩阵或普通的转置矩阵。
use
Figure FSB00000334601100021
The transposition matrix of is used as the precoding matrix of the second communication channel H BA to precode the second communication channel H BA to generate the channel G BA , and the transposition matrix is a hermitian transposition matrix or an ordinary transposition matrix.
2.根据权利要求1所述的方法,其特征在于,进一步包括:2. The method according to claim 1, further comprising: 所述多天线收发器A通过所述信道GAB向多天线收发器B发送第二组N个参考信号,其中每个天线发射一个参考信号;The multi-antenna transceiver A sends a second group of N reference signals to the multi-antenna transceiver B through the channel GAB , wherein each antenna transmits a reference signal; 所述多天线收发器B的N个天线接收所述多天线收发器A发射的第二组N个参考信号,其中每个天线接收一个参考信号;The N antennas of the multi-antenna transceiver B receive the second group of N reference signals transmitted by the multi-antenna transceiver A, wherein each antenna receives a reference signal; 所述多天线收发器B根据接收到的第二组N个参考信号获得信道GAB的第一特性估计值
Figure FSB00000334601100022
The multi-antenna transceiver B obtains the first characteristic estimation value of the channel G AB according to the received second group of N reference signals
Figure FSB00000334601100022
所述多天线收发器B通过所述信道GBA向多天线收发器A发送第二组N个参考信号,其中每个天线发射一个参考信号;The multi-antenna transceiver B sends a second group of N reference signals to the multi-antenna transceiver A through the channel GBA , wherein each antenna transmits a reference signal; 所述多天线收发器A的N个天线接收所述多天线收发器B发射的第二组N个参考信号,其中每个天线接收一个参考信号;The N antennas of the multi-antenna transceiver A receive the second group of N reference signals transmitted by the multi-antenna transceiver B, where each antenna receives one reference signal; 所述多天线收发器A根据接收到的第二组N个参考信号获得信道GBA的第二特性估计值
Figure FSB00000334601100023
The multi-antenna transceiver A obtains the second characteristic estimation value of the channel G BA according to the received second group of N reference signals
Figure FSB00000334601100023
将获得的信道GBA的第二特性估计值的转置矩阵乘以一个常数作为信道GAB的第三特性估计值
Figure FSB00000334601100025
The second characteristic estimate of the channel G BA will be obtained The transposed matrix of is multiplied by a constant as the third characteristic estimate of the channel G AB
Figure FSB00000334601100025
将获得的接收信道GAB的第一特性估计值
Figure FSB00000334601100026
的转置矩阵乘以一个常数作为发射信道GBA的第四特性估计值
Figure FSB00000334601100027
The first characteristic estimate of the received channel G AB will be obtained
Figure FSB00000334601100026
The transposed matrix of is multiplied by a constant as the estimated value of the fourth characteristic of the transmit channel G BA
Figure FSB00000334601100027
3.根据权利要求2所述的方法,其特征在于,所述第一特性估计值
Figure FSB00000334601100028
第二特性估计值
Figure FSB00000334601100029
第三特性估计值
Figure FSB000003346011000210
和第四特性估计值在收发器A与B中任何一个收发器中用于改善通信特性。
3. The method according to claim 2, wherein the first property estimate
Figure FSB00000334601100028
second characteristic estimate
Figure FSB00000334601100029
Estimated value of the third characteristic
Figure FSB000003346011000210
and the fourth property estimate It is used in any one of transceivers A and B to improve communication characteristics.
4.根据权利要求3所述的方法,其特征在于,所述第一特性估计值
Figure FSB00000334601100031
第二特性估计值
Figure FSB00000334601100032
第三特性估计值
Figure FSB00000334601100033
和第四特性估计值
Figure FSB00000334601100034
用于以下中的至少一个:
4. The method according to claim 3, wherein the first characteristic estimate
Figure FSB00000334601100031
second characteristic estimate
Figure FSB00000334601100032
Estimated value of the third characteristic
Figure FSB00000334601100033
and the fourth property estimate
Figure FSB00000334601100034
for at least one of the following:
自适应调制,adaptive modulation, 自适应编码,adaptive encoding, 自适应功率控制。Adaptive Power Control.
5.根据权利要求4所述的方法,其特征在于,所述自适应功率控制是利用注水方法进行的。5. The method of claim 4, wherein the adaptive power control is performed using a water injection method. 6.根据权利要求1所述的方法,其特征在于,所述信道特性估计值
Figure FSB00000334601100035
Figure FSB00000334601100036
经过归一化计算以补偿路径损耗。
6. The method according to claim 1, wherein the channel characteristic estimation value
Figure FSB00000334601100035
and
Figure FSB00000334601100036
Calculated by normalization to compensate for path loss.
7.根据权利要求2所述的方法,其特征在于,所述第一组参考信号与所述第二组参考信号满足以下至少一个:7. The method according to claim 2, wherein the first set of reference signals and the second set of reference signals satisfy at least one of the following: 在时间上正交;Orthogonal in time; 在频率上正交;Orthogonal in frequency; 在编码上正交。Orthogonal in encoding. 8.根据权利要求2所述的方法,其特征在于,所述第一特性估计值
Figure FSB00000334601100037
第二特性估计值第三特性估计值
Figure FSB00000334601100039
和第四特性估计值
Figure FSB000003346011000310
用于预编码。
8. The method according to claim 2, wherein the first property estimate
Figure FSB00000334601100037
second characteristic estimate Estimated value of the third characteristic
Figure FSB00000334601100039
and the fourth property estimate
Figure FSB000003346011000310
for precoding.
9.根据权利要求1至8中任一权利要求所述的方法,其特征在于,所述转置矩阵为赫米特Hermitian转置矩阵。9. The method according to any one of claims 1 to 8, wherein the transpose matrix is a Hermitian transpose matrix. 10.根据权利要求9所述的方法,其特征在于,所述信道GAB和所述信道GBA互为复共轭转置矩阵乘以一个标量常数。10. The method according to claim 9, wherein the channel G AB and the channel G BA are complex conjugate transpose matrices multiplied by a scalar constant. 11.根据权利要求1至8中任一权利要求所述的方法,其特征在于,11. A method according to any one of claims 1 to 8, wherein 所述采用的转置矩阵作为第一通信信道HAB的预编码矩阵包括:The adoption The transposed matrix of as the precoding matrix of the first communication channel H AB includes: 计算的转置矩阵的复共轭矩阵,将计算得到的矩阵作为第一通信信道HAB的预编码矩阵;calculate The complex conjugate matrix of the transpose matrix, the calculated matrix is used as the precoding matrix of the first communication channel H AB ; 所述采用的转置矩阵作为第二通信信道HBA的预编码矩阵包括:The adoption The transposed matrix of as the precoding matrix of the second communication channel H BA includes: 计算
Figure FSB00000334601100044
的转置矩阵的复共轭矩阵,将计算得到的矩阵作为第二通信信道HBA的预编码矩阵。
calculate
Figure FSB00000334601100044
The complex conjugate matrix of the transpose matrix of is used as the precoding matrix of the second communication channel H BA .
12.根据权利要求1至8中任一权利要求所述的方法,其特征在于,所述第一组参考信号相互正交。12. The method according to any one of claims 1 to 8, wherein the first set of reference signals are orthogonal to each other. 13.根据权利要求2至8中任一权利要求所述的方法,其特征在于,13. A method according to any one of claims 2 to 8, wherein 所述第二组参考信号相互正交。The second set of reference signals are orthogonal to each other. 14.一种多入多出MIMO通信系统,其特征在于,包括至少一个多天线收发器A和至少一个多天线收发器B,所述系统至少使用从收发器A到收发器B的第一通信信道HAB和从收发器B到收发器A的第二通信信道HBA,其中,14. A multiple-input multiple-output MIMO communication system, characterized in that it comprises at least one multi-antenna transceiver A and at least one multi-antenna transceiver B, said system at least uses the first communication from transceiver A to transceiver B channel H AB and a second communication channel H BA from transceiver B to transceiver A, wherein, 所述多天线收发器A用于使用N个天线通过所述第一通信信道HAB向收发器B发射第一组N个参考信号,其中每个天线发射一个参考信号;使用所述N个天线接收多天线收发器B发射的第一组N个参考信号,其中每个天线接收一个参考信号;根据接收的N个参考信号获得第二通信信道HBA的特性估计值
Figure FSB00000334601100045
采用
Figure FSB00000334601100046
的转置矩阵作为第一通信信道HAB的预编码矩阵,对第一通信信道HAB进行预编码,生成信道GAB,所述转置矩阵为hermitian转置矩阵或普通的转置矩阵;
The multi-antenna transceiver A is used to transmit a first group of N reference signals to the transceiver B through the first communication channel HAB using N antennas, wherein each antenna transmits a reference signal; using the N antennas Receive the first group of N reference signals transmitted by the multi-antenna transceiver B, wherein each antenna receives a reference signal; obtain the characteristic estimation value of the second communication channel H BA according to the received N reference signals
Figure FSB00000334601100045
use
Figure FSB00000334601100046
The transposition matrix is used as the precoding matrix of the first communication channel H AB , the first communication channel H AB is precoded, and the channel G AB is generated, and the transposition matrix is a hermitian transposition matrix or a common transposition matrix;
所述多天线收发器B用于使用N个天线通过所述第二通信信道HBA向收发器A发射第一组N个参考信号,其中每个天线发射一个参考信号;使用所述N个天线接收多天线收发器A发射的第一组N个参考信号,其中每个天线接收一个参考信号;根据接收的N个参考信号获得第一通信信道HAB的特性估计值
Figure FSB00000334601100051
采用
Figure FSB00000334601100052
的转置矩阵作为第二通信信道HBA的预编码矩阵,对第二通信信道HBA进行预编码,生成信道GBA,所述转置矩阵为hermitian转置矩阵或普通的转置矩阵。
The multi-antenna transceiver B is used to transmit a first set of N reference signals to the transceiver A through the second communication channel H BA using N antennas, wherein each antenna transmits a reference signal; using the N antennas Receive the first group of N reference signals transmitted by the multi-antenna transceiver A, wherein each antenna receives a reference signal; obtain the characteristic estimation value of the first communication channel H AB according to the received N reference signals
Figure FSB00000334601100051
use
Figure FSB00000334601100052
The transposition matrix of is used as the precoding matrix of the second communication channel H BA to precode the second communication channel H BA to generate the channel G BA , and the transposition matrix is a hermitian transposition matrix or an ordinary transposition matrix.
15.根据权利要求14所述的MIMO通信系统,其特征在于,15. The MIMO communication system according to claim 14, wherein, 所述多天线收发器A进一步用于通过所述信道GAB向所述多天线收发器B发送第二组N个参考信号,其中每个天线发射一个参考信号,利用所述N个天线接收所述多天线收发器B发射的第二组N个参考信号,其中每个天线接收一个参考信号;根据接收到的N个参考信号获得信道GBA的第二特性估计值
Figure FSB00000334601100053
将获得的信道GBA的第二估计值的转置矩阵乘以一个常数作为信道GAB的第三特性估计值
Figure FSB00000334601100055
The multi-antenna transceiver A is further configured to send a second group of N reference signals to the multi-antenna transceiver B through the channel G AB , wherein each antenna transmits a reference signal, and uses the N antennas to receive all The second group of N reference signals transmitted by the multi-antenna transceiver B, wherein each antenna receives a reference signal; obtain the second characteristic estimation value of the channel G BA according to the received N reference signals
Figure FSB00000334601100053
A second estimate of the channel G BA will be obtained The transposed matrix of is multiplied by a constant as the third characteristic estimate of the channel G AB
Figure FSB00000334601100055
所述多天线收发器B进一步用于通过所述信道GBA向所述多天线收发器A发送第二组参考信号,其中每个天线发射一个参考信号,利用所述N个天线接收所述多天线收发器A发射的第二组N个参考信号,其中每个天线接收一个参考信号;根据接收到的N个参考信号获得信道GAB的第一特性估计值
Figure FSB00000334601100061
将获得的信道GAB的第一特性估计值
Figure FSB00000334601100062
的转置矩阵乘以一个常数作为信道GBA的第四特性估计值
Figure FSB00000334601100063
The multi-antenna transceiver B is further configured to send a second group of reference signals to the multi-antenna transceiver A through the channel G BA , where each antenna transmits a reference signal, and uses the N antennas to receive the multiple The second group of N reference signals transmitted by the antenna transceiver A, wherein each antenna receives a reference signal; obtain the first characteristic estimation value of the channel G AB according to the received N reference signals
Figure FSB00000334601100061
The first characteristic estimate of the channel G AB will be obtained
Figure FSB00000334601100062
The transposed matrix of is multiplied by a constant as the estimated value of the fourth characteristic of the channel G BA
Figure FSB00000334601100063
16.根据权利要求15所述的MIMO通信系统,其特征在于,所述系统用于将第一特性估计值
Figure FSB00000334601100064
第二特性估计值
Figure FSB00000334601100065
第三特性估计值和第四特性估计值
Figure FSB00000334601100067
用于所述多天线收发器A和B中的任意一个从而改善通信特性。
16. The MIMO communication system according to claim 15, wherein the system is used to use the first characteristic estimation value
Figure FSB00000334601100064
second characteristic estimate
Figure FSB00000334601100065
Estimated value of the third characteristic and the fourth property estimate
Figure FSB00000334601100067
For any one of the multi-antenna transceivers A and B to improve communication characteristics.
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