CN102315914B - Robust non-linear transceiver under multiple-input-multiple-output spatial correlation channel - Google Patents
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Abstract
The invention relates to a robust non-linear transceiver under a multiple-input-multiple-output spatial correlation channel. Firstly, the transceiver acquires a processing matrix of sending and receiving signals through a channel estimation module and a sending and receiving matrix computation module. The processing matrix comprises an emission precoding matrix, an emission feedback matrix and a receiving equilibrium matrix. A calculating result is output to the emission precoding matrix and the receiving equilibrium matrix so as to carry out processing of the sending and receiving signals. And then, the digital modulation signal is input to the emission precoding module and is output to the channel after being processed by the emission feedback matrix and the emission precoding matrix. A receiving terminal processes the received signals through the receiving equilibrium module and finally the signals are output through demodulation. By using the transceiver, system performance is better than the system performance acquired by using a linear transceiver under the condition of spatial related imperfect channel state information.
Description
Technical field
What the present invention relates to is the device in a kind of signal processing technology field, specifically the robust non-linear transceiver under a kind of multiple-input-multiple-output spatial correlation channel.
Background technology
The research of frequency domain, time domain and the code domain information of traditional wireless communication technology to signal has reached a unprecedented height, but still cannot meet the demand of application, need to expand new signal process field, and the research in signal space territory has made up this blank, by researching antenna diversity technique and intelligent antenna technology, it is feasible that discovery utilizes many antennas to realize signal transmission, along with multiple-input and multiple-output (MIMO) communication technology finally evolving to is goed deep in research.MIMO technology is as the framework technology of following generation system of broadband wireless communication, be to realize making full use of space resources and improving an inevitable approach of the availability of frequency spectrum, radio communication theory and signal processing technology based on MIMO have demonstrated huge potentiality and development prospect.
The communication of mimo system can be subject to the interference of multi-user, many antennas, thereby causes common-channel interference (CCI), therefore at transceiver two ends, need to adopt some necessary signal processing technologies, to eliminate Noise and Interference.At transmitting terminal, by base station end, transmitter signal being optimized to design processes, the signal that each travelling carriage can be received be not in theory subject to other user to disturb, realize space division multiple access (SDMA), the reliable reception that guarantees data, this signal processing is called the precoding that transmits.At receiving terminal, receiver need to be processed the signal from each transmitting antenna receiving, and distinguishes the signal of different transmitting antennas or different user, and this process receives equilibrium treatment exactly.In mimo system design, if reception antenna can cooperate, so transmitting precoding processing and reception equilibrium treatment are carried out to co-design, can obtain good systematic function.
According to whether comprising Nonlinear Processing in signal processing, MIMO transceiver can be divided into linear transceiver and the large class of non-linear transceiver two.When transmitting-receiving two-end known channel state information (CSI), the design of linear transceiver has been carried out to more research, such as utilizing protruding optimum theory, linear transceiver design is included under Unified frame, can realize and minimize mean square error (MSE), minimum error rates (BER) and maximization Signal to Interference plus Noise Ratio (SINR).For non-linear receiver, there are two kinds of project organizations, one be Nonlinear Processing structure at transmitting terminal, receiving terminal is linear process, this structure is called the non-linear transceiver based on THP precoding.Another kind of structure is that transmitting terminal is linear process, and receiving terminal is Nonlinear Processing structure, and this structure is called the non-linear transceiver based on decision-feedback (DFE).Because receiving terminal feedback in the second structure can cause error code diffusion, therefore, under identical design criterion, the performance of the first structure is better than the second structure conventionally.Provide at present THP transceiver under Unified frame and the method for designing of DFE transceiver, can, under known CSI condition, minimize MSE and BER, maximized SINR.
But, in practical communication process, due to the rapid fading of channel, delay of feedback information, the many factors such as channel estimation errors, system can only obtain part CSI or the information with error, in this case, the design of transceiver should be considered actual channel situation, and design has the method for robust performance.For imperfect CSI condition, when Channel Modeling is channel estimation value and channel errors value sum, and while not considering to receive and dispatch correlation, there is document to provide respectively to minimize the linear transceiver design of robust and the non-linear THP transceiver design of MSE.If consider transmitting-receiving correlation, first Xi Zhang has proposed to consider to receive linear transceiver algorithms (the Z. Xi of relevant robust, D. P. Palomar, and B. Ottersten, Statistically robust design of linear MIMO transceivers, (the statistics robust designs of the linear transceiver of multiple-input and multiple-output), IEEE Trans on Signal Processing, vol.56, no.8, 2008), further, D. Minhua has proposed to consider to receive and dispatch linear (the D. Minhua of receipts of relevant robust, Multiple-input multiple-out wireless system designs with imperfect channel knowledge, (the multi-input and-output radio system design under non-ideal communication channel information), Ph.D. thesis, Queen's Univ., Kingston, Canada, 2008).Correspond to linear transceiver, the research of the robust nonlinear transceiver under the imperfect CSI condition that consideration transmitting-receiving is correlated with is simultaneously less.
Summary of the invention
The present invention is directed to prior art above shortcomings, robust non-linear transceiver under a kind of multiple-input-multiple-output spatial correlation channel is provided, can minimize the mean square error of receiving and transmitting signal, reduce the impact of channel relevancy on systematic function, reduce the error rate of system.
The present invention is achieved by the following technical solutions:
The invention provides the robust non-linear transceiver under a kind of multiple-input-multiple-output spatial correlation channel, comprise channel estimation module, transmitting-receiving matrix computations module, signal generator module, transmitting precoding module, receive balance module, signal demodulation module, wherein:
Described channel estimation module carries out channel estimating by training sequence, and channel estimating communication is arrived to transmitting-receiving matrix computations module;
Described transmitting-receiving matrix computations module according to channel estimation value and in advance hypothesis transmitting-receiving correlation matrix information, calculate the value of launching pre-coding matrix, transmitting feedback matrix and receiving balanced matrix, and transmitting pre-coding matrix and feedback matrix calculated value are transferred to transmitting precoding module, balanced reception matrix value is transferred to reception balance module;
Described signal generator module produces binary message source, and uses Digital Modulation that information source is modulated into digital signal, exports to transmitting precoding module;
Described transmitting precoding module is processed digital modulation signals, by pre-coding matrix premultiplication signal, outputs to channel after power normalization;
Signal after described reception balance module receive channel transmission, receives signal by balanced matrix premultiplication, then outputs to signal demodulation module.
Described signal demodulation module receives output signal from receiving balance module, and signal is carried out modulo operation and carries out demodulation, obtains receiving demodulation signal output.
Described transmitting-receiving matrix computations module comprises: pre-coding matrix computing unit, feedback matrix computing unit, receive balanced matrix calculation unit, wherein:
It is an iterative process that described pre-coding matrix computing unit calculates transmitting pre-coding matrix, first initialization pre-coding matrix is unit matrix, then by pre-coding matrix, auxiliary compute matrix, intermediate operations coefficient iterative computation until algorithmic statement, the pre-coding matrix upgrading is less than 10 with the norm of pre-coding matrix difference last time
-4time, iterative process finishes, then according to etc. diagonal decomposition algorithm calculate the specific unitary matrice right side and take advantage of pre-coding matrix, obtain final transmitting pre-coding matrix, and output to transmitting precoding module;
Described feedback matrix computing unit, according to the pre-coding matrix of aforementioned calculating, by triangle feedback processing matrix under the diagonal such as Cholesky decomposition computation, and outputs to transmitting precoding module;
The balanced matrix calculation unit of described reception goes out to receive balanced matrix according to the pre-coding matrix of aforementioned calculating, feedback processing matrix computations, and outputs to reception balance module.
Described signal generator module comprises: binary message source generation unit, digital modulation signals generation unit, wherein binary message source generation unit produces binary message source, and use Digital Modulation that information source is modulated into digital signal by digital modulation signals generation unit, export to transmitting precoding module.
Described transmitting precoding module comprises: modulo operation unit, feedback pretreatment unit, precoding processing unit, wherein modulo operation unit is connected and transmission mode operation information with digital modulation signals generation unit, feedback pretreatment unit, precoding processing unit, feedback pretreatment unit is connected and sequential serial transmission feedback preprocessed signal with modulo operation unit, precoding processing unit, transmitting-receiving matrix computations module, and precoding processing unit is connected and transfer pre-coding process information with modulo operation unit, feedback pretreatment unit, transmitting-receiving matrix computations module.
Described signal demodulation module comprises: modulo operation unit, demodulating unit, and wherein modulo operation unit is connected and transmission mode operation information with reception balance module, demodulating unit, and demodulating unit is connected with modulo operation unit and Propagation solution adjusting information.
During the above-mentioned device work of the present invention, concrete steps are:
1. channel estimation module carries out channel estimating by training sequence, and channel estimating communication is arrived to transmitting-receiving matrix computations module.
2. receive and dispatch matrix computations module according to channel estimation value and the transmitting-receiving correlation matrix information of supposing in advance, calculate the value of launching pre-coding matrix, transmitting feedback matrix and receiving balanced matrix, and transmitting pre-coding matrix and feedback matrix calculated value are transferred to transmitting precoding module, balanced reception matrix value is transferred to reception balance module.Wherein pre-coding matrix computing unit calculating transmitting pre-coding matrix is an iterative process, first initialization pre-coding matrix is unit matrix, then by pre-coding matrix, auxiliary compute matrix, intermediate operations coefficient iterative computation until algorithmic statement, the pre-coding matrix upgrading is less than 10 with the norm of pre-coding matrix difference last time
-4time, iterative process finishes, then according to etc. diagonal decomposition algorithm calculate the specific unitary matrice right side and take advantage of pre-coding matrix, obtain final transmitting pre-coding matrix, and output to transmitting precoding module.Transmitting feedback matrix calculation unit, according to the pre-coding matrix of aforementioned calculating, by triangle feedback processing matrix under the diagonal such as Cholesky decomposition computation, and outputs to transmitting precoding module.Receive balanced matrix calculation unit and go out to receive balanced matrix according to the pre-coding matrix of aforementioned calculating, feedback processing matrix computations, and output to reception balance module.
3. signal generator module produces binary message source, and uses Digital Modulation that information source is modulated into digital signal.
4. the digital modulation signals that step 3 produces is input to transmitting precoding module and processes, first value of the signal vector transmitting is only done modulo operation, second value feeds back to feedback pretreatment unit after doing modulo operation, by processing, eliminate the interference of first value to second value, the rest may be inferred, eliminates successively the interference of all values to a rear value above.The feedback processing matrix using comes from the transmitting feedback matrix computations value of step 2.
5. the signal after step 4 successive interference cancellation is input to precoding processing unit, pre-coding matrix comes from the transmitting pre-coding matrix value of step 2, by pre-coding matrix premultiplication signal, outputs to channel after power normalization.
6. receive the signal after the transmission of balance module receive channel, balanced matrix comes from the balanced matrix value of reception of step 2, and balanced matrix premultiplication is received to signal, then outputs to demodulation module.
7. demodulation module receives the output signal of step 6, and signal is carried out modulo operation and carries out demodulation, obtains receiving demodulation signal output.
The present invention adopts after above-mentioned technical scheme, by Computer Simulation, shows, is all better than the linear transceiver of robust in bit error rate performance and mean square error performance, and along with receiving and dispatching the increase of coefficient correlation, robustness strengthens.
Accompanying drawing explanation
Fig. 1 is apparatus of the present invention schematic diagram.
Fig. 2 is relatively schematic diagram of embodiment bit error rate performance.
Fig. 3 is that embodiment mean square error Performance Ratio is compared with schematic diagram;
In figure: be (a) to change with transmitting coefficient correlation; (b) be to change with receiving coefficient correlation.
Embodiment
Below embodiments of the invention are elaborated, the present embodiment is implemented under take technical solution of the present invention as prerequisite, provided detailed execution mode and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
As shown in Figure 1, the present embodiment comprises: channel estimation module, transmitting-receiving matrix computations module, signal generator module, transmitting precoding module, receive balance module, signal demodulation module, wherein: channel estimation module is connected and transmission channel estimated information with transmitting-receiving matrix computations module, transmitting-receiving matrix computations module and channel estimation module, transmitting precoding module, reception balance module is connected and transmitting transceiver matrix information, signal generator module is connected and transmission of digital modulation signal with transmitting precoding module, receiving balance module is connected with signal demodulation module and transmits the signal receiving after equilibrium treatment.Wherein:
Described transmitting-receiving matrix computations module according to channel estimation value and in advance hypothesis transmitting-receiving correlation matrix information, calculate the value of launching pre-coding matrix, transmitting feedback matrix and receiving balanced matrix, and transmitting pre-coding matrix and feedback matrix calculated value are transferred to transmitting precoding module, balanced reception matrix value is transferred to reception balance module;
Described signal generator module produces binary message source, and uses Digital Modulation that information source is modulated into digital signal, exports to transmitting precoding module;
Described transmitting precoding module is processed digital modulation signals, by pre-coding matrix premultiplication signal, outputs to channel after power normalization;
Signal after described reception balance module receive channel transmission, receives signal by balanced matrix premultiplication, then outputs to signal demodulation module.
Described signal demodulation module receives output signal from receiving balance module, and signal is carried out modulo operation and carries out demodulation, obtains receiving demodulation signal output.
Suppose that transmitting antenna is
, reception antenna is
mIMO communication system.If noise is independent identically distributed zero-mean white Gaussian noise, covariance matrix
.Concrete implementation step is as follows:
1. channel estimation module received training sequence, the power of establishing training sequence is
, use least mean-square error channel estimation methods, obtain channel estimate matrix
, correlation matrix is received and dispatched in consideration, obtains last channel information and is:
, wherein
represent emission space relevant information,
represent to use to receive spatial correlation matrix, wherein
.
represent channel estimation errors matrix, wherein
in element meet independent identically distributed Gaussian Profile
.The channel estimating obtaining and
information is sent to each computing unit of transmitting-receiving matrix computations module.
2. the transmitting-receiving matrix computations module described in comprises: pre-coding matrix computing unit, feedback matrix computing unit, receive balanced matrix calculation unit.Wherein pre-coding matrix computing unit and channel estimation module, feedback matrix computing unit, receive balanced matrix calculation unit, transmitting precoding module is connected and transmits calculated precoding emission matrix information, feedback matrix computing unit and pre-coding matrix computing unit, receive balanced matrix calculation unit, transmitting precoding module is connected and transmitting feedback matrix information, receive balanced matrix calculation unit with pre-coding matrix computing unit, feedback matrix computing unit, receive balance module and be connected and transmit the balanced matrix information of reception.Wherein pre-coding matrix computing unit is according to the estimated value of channel estimation module transmission
, and in advance hypothesis transmitting-receiving correlation matrix, calculate transmitting pre-coding matrix, its process is an iterative process: first initialization pre-coding matrix is
, wherein
it is the order of channel matrix; Then upgrade companion matrix
Then upgrade intermediate operations coefficient
Final updating pre-coding matrix
; The above step of iteration is until algorithmic statement, and the pre-coding matrix upgrading is less than 10 with the F norm of pre-coding matrix difference last time
-4time, iterative process finishes.The unitary matrice of the degree of freedom will be there is
aforesaid pre-coding matrix is taken advantage of on the right side
, will
be updated to
the diagonal decomposition algorithms such as use (specific algorithm list of references F.Xu, T N. Davidson, et al. Design of block transceivers with decision feedback detection, decision-feedback piece transceiver design, IEEE Trans.Signal Process., vol. 54, no. 3, pp. 965-978, the appendix 1 in 2006.) obtain unitary matrice
, the pre-coding matrix of described pre-coding matrix computing unit output is
, and output to transmitting precoding module.
Described feedback matrix computing unit, according to the Output rusults of described pre-coding matrix computing unit, calculates transmitting feedback matrix value, first calculates
cholesky be decomposed into
, then calculate transmitting feedback preconditioning matrix and be
, wherein
be
on diagonal
individual element, therefore transmitting feedback Matrix C is to wait diagonal lower triangular matrix, and outputs to transmitting precoding module.
The balanced matrix calculation unit of described reception is according to described transmitting pre-coding matrix value and transmitting feedback matrix value, and calculating receives balanced matrix and is
, and output to reception balance module.
3. the signal generator module described in comprises: binary message source generation unit, digital modulation signals generation unit, and wherein binary message source generation unit produces binary message source z, then z is input to Digital Modulation unit, and Digital Modulation adopts
-qam constellation figure, is converted to through the signal source of Digital Modulation
,
for the parallel number of data streams sending, and carry out power normalization and make
set up.
4. the transmitting precoding module described in comprises: modulo operation unit, feedback pretreatment unit, precoding processing unit.The digital modulation signals source s that wherein step 3 produces is input to modulo operation unit, first value of s vector is only done modulo operation output, and second value feeds back to feedback pretreatment unit after doing modulo operation, by processing, eliminates the interference of first value to second value, the rest may be inferred, as shown in the formula
Wherein modulo operation is defined as follows
When planisphere is
-QAM,
.
Described feedback pretreatment unit comprises feedback matrix C, comes from the output of step 2 feedback matrix computing unit.
5. the pretreated signal q of feedback being obtained by step 3 is input to described precoding module, pre-coding matrix premultiplication signal q rate of doing work normalization obtain launching output signal, and described pre-coding matrix F comes from the output of the transmitting pre-coding matrix computing unit of step 2.
6. receive signal obtains y and sends into described reception balance module after anti-power normalization, balanced described reception matrix G premultiplication y is obtained to output signal after treatment, and the balanced matrix G of described reception comes from the output of the balanced matrix calculation unit of reception of step 2.
7. the signal demodulation module described in comprises: modulo operation unit, demodulating unit.Wherein modulo operation unit is connected with the output signal of step 6 and signal is carried out to modulo operation, and identical with the modulo operation of definition in step 3, demodulating unit is connected with the output of modulo operation unit and carries out
the demodulation of-QAM Digital Modulation, finally exports restituted signal.
Fig. 2 has provided the BER curve of non-linear transceiver of the present invention and linear transceiver comparison.Emulation demonstration, the present invention has more robustness to nonideal channel condition information, and performance is better than linear transceiver.Especially in high SNR situation, performance advantage is more remarkable.
For relatively under different coefficient correlation conditions, the performance of non-linear transceiver of the present invention and robust linearity transceiver, Fig. 3 give with
with
change
performance.From Fig. 3 (a), can find out, non-linear transceiver of the present invention exists
on be better than linear transceiver.Meanwhile, along with
increase, the present invention is more obvious than linear properties advantage, therefore, non-linear transceiver of the present invention receives in correlation and has more robustness than linear transceiver in antagonism.In Fig. 3 (b), also can obtain similar conclusion, along with
increase, non-linear R-T unit of the present invention obtains more performance gain, and non-linear transceiver of the present invention is in antagonism transmitting correlation, also than linear transceiver, has more robustness.
Claims (4)
1. the robust non-linear transceiver under a multiple-input-multiple-output spatial correlation channel, it is characterized in that comprising channel estimation module, transmitting-receiving matrix computations module, signal generator module, transmitting precoding module, receive balance module, signal demodulation module, wherein:
Described channel estimation module carries out channel estimating by training sequence, and channel estimating communication is arrived to transmitting-receiving matrix computations module;
Described transmitting-receiving matrix computations module according to channel estimation value and in advance hypothesis transmitting-receiving correlation matrix information, calculate the value of launching pre-coding matrix, transmitting feedback matrix and receiving balanced matrix, and transmitting pre-coding matrix and feedback matrix calculated value are transferred to transmitting precoding module, balanced reception matrix value is transferred to reception balance module;
Described signal generator module produces binary message source, and uses Digital Modulation that information source is modulated into digital signal, exports to transmitting precoding module;
Described transmitting precoding module is processed digital modulation signals, by pre-coding matrix premultiplication signal, outputs to channel after power normalization;
Signal after described reception balance module receive channel transmission, receives signal by balanced matrix premultiplication, then outputs to signal demodulation module;
Described signal demodulation module receives output signal from receiving balance module, and signal is carried out modulo operation and carries out demodulation, obtains receiving demodulation signal output;
Described transmitting-receiving matrix computations module comprises: pre-coding matrix computing unit, feedback matrix computing unit, receive balanced matrix calculation unit, wherein:
It is an iterative process that described pre-coding matrix computing unit calculates transmitting pre-coding matrix, first initialization pre-coding matrix is unit matrix, then by pre-coding matrix, auxiliary compute matrix, intermediate operations coefficient iterative computation until algorithmic statement, the pre-coding matrix upgrading is less than 10 with the norm of pre-coding matrix difference last time
-4time, iterative process finishes, then according to etc. diagonal decomposition algorithm calculate the specific unitary matrice right side and take advantage of pre-coding matrix, obtain final transmitting pre-coding matrix, and output to transmitting precoding module;
Described feedback matrix computing unit, according to the pre-coding matrix of aforementioned calculating, by triangle feedback processing matrix under the diagonal such as Cholesky decomposition computation, and outputs to transmitting precoding module;
The balanced matrix calculation unit of described reception goes out to receive balanced matrix according to the pre-coding matrix of aforementioned calculating, feedback processing matrix computations, and outputs to reception balance module.
2. the robust non-linear transceiver under multiple-input-multiple-output spatial correlation channel according to claim 1, it is characterized in that: described signal generator module comprises: binary message source generation unit, digital modulation signals generation unit, wherein binary message source generation unit produces binary message source, and use Digital Modulation that information source is modulated into digital signal by digital modulation signals generation unit, export to transmitting precoding module.
3. the robust non-linear transceiver under multiple-input-multiple-output spatial correlation channel according to claim 1, it is characterized in that: described transmitting precoding module comprises: modulo operation unit, feedback pretreatment unit, precoding processing unit, wherein modulo operation unit and digital modulation signals generation unit, feedback pretreatment unit, precoding processing unit is connected and transmission mode operation information, feedback pretreatment unit and modulo operation unit, precoding processing unit, transmitting-receiving matrix computations module is connected and sequential serial transmission feedback preprocessed signal, precoding processing unit and modulo operation unit, feedback pretreatment unit, transmitting-receiving matrix computations module is connected and transfer pre-coding process information.
4. the robust non-linear transceiver under multiple-input-multiple-output spatial correlation channel according to claim 1, it is characterized in that: described signal demodulation module comprises: modulo operation unit, demodulating unit, wherein modulo operation unit is connected and transmission mode operation information with reception balance module, demodulating unit, and demodulating unit is connected with modulo operation unit and Propagation solution adjusting information.
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| CN110351749B (en) * | 2019-06-18 | 2020-08-28 | 西安交通大学 | Design method for beneficial interference of wireless energy-carrying communication cognitive network |
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