CN105050120A - MIMO (Multiple Input Multiple Output) performance diagnostic method and system of LTE (Long Term Evolution) network - Google Patents
MIMO (Multiple Input Multiple Output) performance diagnostic method and system of LTE (Long Term Evolution) network Download PDFInfo
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Abstract
The invention is applicable to the technical field of communication, and provides an MIMO (Multiple Input Multiple Output) performance diagnostic method and system of a LTE (Long Term Evolution) network. The method comprises the following steps of acquiring signals transmitted by signal source transmitting terminals Tx0 and Tx1, wherein the signals are received by receiving terminals Rx0 and Rx1; calculating the channel condition numbers of an MIMO transmission correlation matrix and taking the channel condition numbers as the MIMO channel correlation coefficients; performing quality evaluation according to the MIMO channel correlation coefficients and outputting an MIMO performance fault cell. According to the MIMO performance diagnostic method of the LTE network provided by the invention, the fading correlation independence of the signals on each channel can be judged according to the correlation coefficients, a multipath measuring technology can be applied to the LTE MIMO performance wireless network optimization, and the MIMO performance can be evaluated more accurately.
Description
Technical field
The present invention relates to communication technical field, particularly relate to a kind of MIMO performance diagnogtics method and system of LTE network.
Background technology
Along with the rise of 4GLTE network, LTE (LongTermEvolution, Long Term Evolution) network has completed large-scale networking.LTE is brand-new network, MIMO (Multiple-InputMultiple-Output, multiple-input and multiple-output) technology is the important key technology of LTE, also lack effective optimization tool and means at present, so how to carry out the MIMO performance optimization of TD-LTE network, be how pendulum carries out the eager problem needing to explore in the commercial maintenance work of operator.
The conventional method of searching LTE network problem analyzes based on the drive test data of conventional terminal analog subscriber call.But there is open defect for the detection of MIMO performance in this method, the main cause of this situation is caused to be, current LTE network is MIMO2*2 (two transmitting terminals, two receiving terminals) network, conventional terminal cannot the RSRP (ReferenceSignalReceivingPower of Measurement accuracy LTE double fluid, Reference Signal Received Power) and SINR value (SignaltoInterferenceplusNoiseRatio, Signal to Interference plus Noise Ratio) and coefficient correlation, so also just accurate evaluation cannot be done to the MIMO performance of LTE.
According to 3GPP, " 36.214-900 physical layer measures-5.1.1 Reference Signal Received Power (RSRP), and TS36.211 [3], community own reference signal R0 will be used for determining RSRP.If UE (user terminal) reliably can detect community, own reference signal R1 can use, R0 and R1 so can be used to determine RSRP.The reference point of RSRP is the antenna junction of UE.
The shortcoming of prior art is: the two paths of signals that terminal UE detects is the signal of UE two antenna opening, can not detect the signal of Tx0 and the Tx1 two-way of transmitting antenna, not possess multi-channel detection ability.In summary, obviously there is inconvenience and defect in actual use in prior art, so be necessary to be improved.
Summary of the invention
For above-mentioned defect, the object of the present invention is to provide a kind of MIMO performance diagnogtics method and system of LTE network, the decline correlation independence of signal at every bar channel is judged according to relative coefficient, multipath measuring technique is applied in the work of LTEMIMO performance radio network optimization, can assesses comparatively accurately MIMO performance.
To achieve these goals, the invention provides a kind of MIMO performance diagnogtics method of LTE network, described method comprises the steps:
Gather the signal launched by LTE cell signal source transmitting terminal Tx0, Tx1 that receiving terminal Rx0, Rx1 receive;
Calculate the channel condition number of MIMO transmission correlation matrix as mimo channel relative coefficient;
Carry out quality evaluation according to described mimo channel relative coefficient and export MIMO performance fault community.
According to MIMO performance diagnogtics method of the present invention, in the channel condition number of the described calculating MIMO transmission correlation matrix step as mimo channel relative coefficient,
MIMO transmission correlation matrix is
wherein H
00for transmitting terminal Tx0 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
01for transmitting terminal Tx0 is to the recombination coefficient of the RX path of receiving terminal Rx1, H
10for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
10for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
11for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx1;
Channel condition number is the characteristic value maximum H of described MIMO transmission correlation matrix
maxwith minimum value H
minratio
According to MIMO performance diagnogtics method of the present invention, described method also comprises:
Calculate described transmitting terminal Tx0, Tx1 Reference Signal Received Power to the four road transmission paths of described receiving terminal Rx0, Rx1 respectively,
MIMO covering performance evaluation graph is generated according to described Reference Signal Received Power.
According to MIMO performance diagnogtics method of the present invention, the step of carrying out quality evaluation output MIMO performance fault community according to described mimo channel relative coefficient comprises:
Judge whether to there is performance fault by the two-way difference of reception antenna, if two-way difference is greater than a preset value, is that double fluid is uneven, namely there is MIMO performance fault.
According to MIMO performance diagnogtics method of the present invention, the step of carrying out quality evaluation output MIMO performance fault community according to described mimo channel relative coefficient comprises:
Judging whether to there is performance fault according to multipath quality correlation, if channel condition number is greater than a preset value and channel condition number invalid value accounting is greater than the community of a predetermined threshold value, is then multipath quality fault community.
The corresponding MIMO performance diagnostic system that a kind of LTE network is provided of the present invention, described system comprises:
Multipath quality tester, for gathering the signal launched by LTE cell signal source transmitting terminal Tx0, Tx1 that receiving terminal Rx0, Rx1 receive;
Relative coefficient computing module, for calculating the channel condition number of MIMO transmission correlation matrix as mimo channel relative coefficient;
Evaluation module, exports MIMO performance fault community for carrying out quality evaluation according to described mimo channel relative coefficient.
According to MIMO performance diagnostic system of the present invention, MIMO transmission correlation matrix is
wherein H
00for transmitting terminal Tx0 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
01for transmitting terminal Tx0 is to the recombination coefficient of the RX path of receiving terminal Rx1, H
10for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
10for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
11for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx1;
Channel condition number is the characteristic value maximum H of described MIMO transmission correlation matrix
maxwith minimum value H
minratio
According to MIMO performance diagnostic system of the present invention, described system also comprises:
Reference Signal Received Power computing module, for calculating described transmitting terminal Tx0, Tx1 Reference Signal Received Power to the four road transmission paths of described receiving terminal Rx0, Rx1 respectively,
MIMO covering performance evaluation graph generation module, for generating MIMO covering performance evaluation graph according to described Reference Signal Received Power.
According to MIMO performance diagnostic system of the present invention, described evaluation module also judges whether to there is performance fault for the two-way difference by reception antenna, if two-way difference is greater than a preset value, is that double fluid is uneven, namely there is MIMO performance fault.
According to MIMO performance diagnostic system of the present invention, described evaluation module is also for judging whether to there is performance fault according to multipath quality correlation, if channel condition number is greater than a preset value and channel condition number invalid value accounting is greater than the community of a predetermined threshold value, be then multipath quality fault community.
The signal launched by LTE cell signal source transmitting terminal Tx0, Tx1 that the present invention receives by gathering receiving terminal Rx0, Rx1, and the channel condition number calculating MIMO transmission correlation matrix is as mimo channel relative coefficient, carries out quality evaluation according to mimo channel relative coefficient and export MIMO performance fault community.Thus achieve and judge the decline correlation independence of signal at every bar channel according to relative coefficient, multipath measuring technique is applied in the work of LTEMIMO performance radio network optimization, can assesses comparatively accurately MIMO performance.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of the MIMO performance diagnostic system of a kind of LTE network of the present invention;
Fig. 2 is the schematic diagram of MIMO2*2 network;
Fig. 3 is the schematic diagram of channel condition number double fluid correlation road in an embodiment of the present invention;
Fig. 4 is LTE reference signal R0, R1 position view;
Fig. 5 is the MIMO covering performance evaluation graph of an embodiment of the present invention;
Fig. 6 is the covering performance schematic diagram of RSRP11 part in Fig. 4;
Fig. 7 is the cell list that in an embodiment of the present invention, MIMO multipath performance exists fault;
Fig. 8 is MIMO property abnormality cell list in a kind of embody rule embodiment of the present invention;
Fig. 9 is the flow chart of the MIMO performance diagnogtics method of a kind of LTE network of the present invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
As shown in Figure 1, the MIMO performance diagnostic system 100 of a kind of LTE network of the present invention, described system comprises: multipath quality tester 10, relative coefficient computing module 20 and evaluation module 30.
Multipath quality tester 10, for the signal launched by LTE cell signal source transmitting terminal Tx0, Tx1 that Rx0, Rx1 receive.Because current LTE network is MIMO2*2 (two transmitting terminals, two receiving terminals) network, of the present inventionly mainly performance diagnogtics is carried out to MIMO2*2 network, Fig. 2 is the schematic diagram of MIMO2*2 network, and this network comprises two LTE base station transmiting signal source Tx0, Tx1 and two receiving terminal Rx0, Rx1.
Relative coefficient computing module 20, for calculating the channel condition number of MIMO transmission correlation matrix as mimo channel relative coefficient.
Evaluation module 30, exports MIMO performance fault community for carrying out quality evaluation according to mimo channel relative coefficient.Carry out assessing the method exporting MIMO performance fault community to comprise: judge whether to there is performance fault by the two-way difference of reception antenna, if two-way difference is greater than a preset value, be that double fluid is uneven, namely there is MIMO performance fault, and judge whether to there is performance fault according to multipath quality correlation, if channel condition number is greater than a preset value cut the community that channel condition number invalid value accounting is greater than a predetermined threshold value, be then multipath quality fault community.
As shown in Figure 2, in MIMO2*2 network, transmitting terminal has 2 transmit antennas, receiving terminal 2 reception antennas, transmit and Received signal strength represented by S and R respectively, S: transmit; R: Received signal strength.The method that relative coefficient computing module 20 calculates the channel condition number of MIMO transmission correlation matrix is specially:
In transmitting procedure, inevitable generation noise, so the behavior pattern in each path receiving and launch just can use compound matrice to represent, H ∈ ZT*R, wherein Z is airborne spread fading factor, and T is for path occurs, R is receiving terminal, so, H is the transmission matrix airborne spread multipath performance plural number in multiple path: represent certain antenna between the change of the amplitude that experiences of signal and phase place.
The signal that reception antenna Rx0 receives is: Rx0=H
00* Tx0+H
10* Tx1; The signal that reception antenna Rx1 receives is: Rx1=H
01* Tx0+H
11* Tx1, wherein H
00for transmitting terminal Tx0 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
01for transmitting terminal Tx0 is to the recombination coefficient of the RX path of receiving terminal Rx1, H
10for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
10for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
11for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx1.
Signal source Tx after compiling is: Tx0=C* (H
11* Rx0-H
10* Rx1); Tx1=C* (-H
01* Rx0+H
00* Rx1).Wherein,
If want correct to parse transmiting signal source Rx0, Rx1 after compiling, H
00, H
11, H
10, H
01must meet some requirements.If, H
00=H
11=1, H
10=H
01=-1 or 1, so cannot solve Rx0 and Rx1.So the correlation properties between multipath channel can determine the quality of mimo channel performance.
MIMO transmission correlation matrix is
two characteristic value maximum H are had in matrix
maxwith minimum value H
min, so we can use the maximum of H matrix and minimum value to characterize the correlation of MIMO transmission matrix.Concrete, channel condition number is as mimo channel relative coefficient, and channel condition number is the characteristic value maximum H of MIMO transmission correlation matrix
maxwith minimum value H
minratio
correlation between channel condition number less explanation channel is lower, and the decline of signal on every bar channel is independent strong.Correlation between larger explanation channel is high, and signal is poor at the decline correlation independence of every bar channel.Channel independence is stronger, says that MIMO adopts the transmission performance of MIMO better.
Fig. 3 is the schematic diagram of channel condition number double fluid correlation road in an embodiment of the present invention.Concrete, when generating the schematic diagram of channel condition number double fluid correlation road, according to the numerical values recited of channel condition number, playing up, then marking on map.In figure 3, symbol ×: ChannelConditionNumbe (channel condition number) is invalid value, illustrates to only have first-class signal, there is the region, section of double-current fault; ChannelConditionNumber larger expression channel relevancy is poorer; ChannelConditionNumber=0 ~ 20 represent favourable condition, and use MIMO2*2 transmission, the transmission system on throughput ratio SISO/MISO basis is high; ChannelConditionNumber=20 ~ 25 represent medium correlation; ChannelConditionNumber > 25 represents high correlation, and the community enabling MIMO increases throughput and improves less.
As shown in Figure 1, MIMO performance diagnostic system 100 also comprises: Reference Signal Received Power computing module 40 and MIMO covering performance evaluation graph generation module 50.
Reference Signal Received Power computing module 40, for calculating transmitting terminal Tx0, Tx1 Reference Signal Received Power to the four road transmission paths of receiving terminal Rx0, Rx1 respectively.Reference Signal Received Power is the power linear mean value of the resource element of carrying cell specific reference signal.Calculating transmitting terminal Tx0, Tx1 are specially to the method for the four road transmission paths of receiving terminal Rx0, Rx1:
Calculate by whole LTE transmission band width configuration or selected subband.Transmitting terminal Tx0, Tx1 launch the identical orthogonal signal that two-way carries the same community of different information, and frequency domain is staggeredly placed, and the reference signal that multipath quality tester 10 carries out LTE from whole LTE transmission band width configuration carries out power measurement.
In MIMO2*2 network, transmitting terminal has 2 transmit antennas, receiving terminal 2 reception antennas, and so the model of Received signal strength is exactly as shown in Figure 4, and R0, R1 in figure are the corresponding transmitting antenna mouth 0 of corresponding subcarrier, the reference signal unit call number of antenna opening 1.
The received power of reference signal power Rx00: the Tx0 that transmits is at the linear averaging power of receiving port Rx0, reference signal R0; The received power of reference signal power Rx01: the Tx0 that transmits is at the linear averaging power of receiving port Rx1, reference signal R1; The received power of reference signal power Rx10: the Tx1 that transmits is at the linear averaging power of receiving port Rx0, reference signal R0; The received power of reference signal power Rx11: the Tx1 that transmits is at the linear averaging power of receiving port Rx1, reference signal R1.Rx0RSRP and Rx1RSRP computational methods are: full bandwidth is measured, and after channel estimating and filtering, (such as moving average) calculates RP value, and each receiving port gets linear averaging to the two-way TX signal received.I.e. Rx0RSRP=(H
00+ H
10)/2, Rx1RSRP=(H
01+ H
11)/2.
MIMO covering performance evaluation graph generation module 50, for generating MIMO covering performance evaluation graph according to Reference Signal Received Power.Concrete, when generating MIMO covering performance evaluation graph, according to the numerical values recited of Reference Signal Received Power, playing up, then marking on map.Fig. 4 is the MIMO covering performance evaluation graph of an embodiment of the present invention, and RSRP00/01/10/11 is respectively the coverage condition on 2*2MIMO tetra-tunnel of LTE network.In the diagram, in diagram, a lot of fan-shaped is LTE community, and three communities form a LTE base station; Different colors is adopted to represent the power of Reference Signal Received Power, sign X single current fault.Fig. 5 is the covering performance schematic diagram of RSRP11 part in Fig. 4, is also the covering performance schematic diagram of transmitting terminal Tx1 to receiving port Rx1, can be found by Fig. 4 and Fig. 5, and this community is that single current launches problem cells.
Fig. 6 is the schematic diagram of channel condition number double fluid correlation road in an embodiment of the present invention.Symbol ×: ChannelConditionNumbe (channel condition number) is invalid value, illustrates to only have first-class signal, there is the region, section of double-current fault; ChannelConditionNumber larger expression channel relevancy is poorer; ChannelConditionNumber=0 ~ 20 represent favourable condition, and use MIMO2*2 transmission, the transmission system on throughput ratio SISO/MISO basis is high; ChannelConditionNumber=20 ~ 25 represent medium correlation; ChannelConditionNumber > 25 represents high correlation, and the community enabling MIMO increases throughput and improves less.
The present invention can according in multi-path algorithm, and multipath correlation invalid value accounting is lower, finds that the MIMO multichannel performance of this LTE community is poorer, thus the MIMO multipath performance that intelligence exports exists the community of fault.Concrete, the present invention can according to RSRP, SINR, cell strength ranking TOPN, the analysis of transmitting terminal double fluid, receiving and analyzing, and CN statistical analysis judges that MIMO multipath performance exists the community of fault.This analytical method comprises:
One: judged by the two-way difference of reception antenna:
Rx1 holds two-way difference: RFPathRSRPRx1TWOWayDiff=| (Rx10)-(Rx10) |
Rx0 holds two-way difference: RFPathRSRPRx0TWOWayDiff=| (Rx00)-(Rx01) |
Two-way difference is greater than 15dB and is defined as double fluid imbalance, namely there is MIMO performance fault;
Two: judge according to multipath quality correlation CN:
By the accounting of linear statistical ChannelConditionNumber > 25 and ChannelConditionNumber invalid value, the community that accounting is greater than 90%, is multipath quality fault community.
There is the cell list of fault in final output MIMO multipath performance as shown in Figure 7, in the figure 7, CNAVG: the mean value of this cell channel correlation channel condition number, larger reflection performance is poorer, is greater than 25 and is performance and breaks down; CNValid: the counting of channel condition number effective value; Effective value is zero, is MIMO performance fault; CNValid ratio: the ratio of channel condition number effective value, ratio is lower than 10% and occurs MIMO performance fault.Fig. 8 is MIMO property abnormality cell list in a kind of embody rule embodiment of the present invention.
Fig. 9 is the flow chart of the MIMO performance diagnogtics method of a kind of LTE network of the present invention, and the method is realized by system 100 as shown in Figure 1, and the method comprises:
Step S601, gathers the signal launched by LTE cell signal source transmitting terminal Tx0, Tx1 that receiving terminal Rx0, Rx1 receive.This step is realized by multipath quality tester 10 as shown in Figure 1.
Step S602, calculates the channel condition number of MIMO transmission correlation matrix as mimo channel relative coefficient.This step is realized by relative coefficient computing module 20 as shown in Figure 1.
Step S603, carries out quality evaluation according to mimo channel relative coefficient and exports MIMO performance fault community.This step is realized by evaluation module 30 as shown in Figure 1.
In the channel condition number of the described calculating MIMO transmission correlation matrix step as mimo channel relative coefficient, MIMO transmission correlation matrix is
wherein H
00for transmitting terminal Tx0 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
01for transmitting terminal Tx0 is to the recombination coefficient of the RX path of receiving terminal Rx1, H
10for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
10for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
11for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx1; Channel condition number is the characteristic value maximum H of described MIMO transmission correlation matrix
maxwith minimum value H
minratio
MIMO performance diagnogtics method of the present invention also comprises: calculate transmitting terminal Tx0, Tx1 Reference Signal Received Power to the four road transmission paths of described receiving terminal Rx0, Rx1 respectively; MIMO covering performance evaluation graph is generated according to Reference Signal Received Power.
Preferably, step S603 also comprises: judge whether to there is performance fault by the two-way difference of reception antenna, if two-way difference is greater than a preset value, is that double fluid is uneven, namely there is MIMO performance fault.
Preferably, step S603 also comprises: judge whether to there is performance fault according to multipath quality correlation, if channel condition number is greater than a preset value cut the community that channel condition number invalid value accounting is greater than a predetermined threshold value, is then multipath quality fault community.
In sum, the signal launched by LTE cell signal source transmitting terminal Tx0, Tx1 that the present invention receives by gathering receiving terminal Rx0, Rx1, and the channel condition number calculating MIMO transmission correlation matrix is as mimo channel relative coefficient, carries out quality evaluation according to described mimo channel relative coefficient and export MIMO performance fault community.Thus achieve and judge the decline correlation independence of signal at every bar channel according to relative coefficient, multipath measuring technique is applied in the work of LTEMIMO performance radio network optimization, can assesses comparatively accurately MIMO performance.
Certainly; the present invention also can have other various embodiments; when not deviating from the present invention's spirit and essence thereof; those of ordinary skill in the art are when making various corresponding change and distortion according to the present invention, but these change accordingly and are out of shape the protection range that all should belong to the claim appended by the present invention.
Claims (10)
1. a MIMO performance diagnogtics method for LTE network, it is characterized in that, described method comprises the steps:
Gather the signal launched by LTE cell signal source transmitting terminal Tx0, Tx1 that receiving terminal Rx0, Rx1 receive;
Calculate the channel condition number of MIMO transmission correlation matrix as mimo channel relative coefficient;
Carry out quality evaluation according to described mimo channel relative coefficient and export MIMO performance fault community.
2. MIMO performance diagnogtics method according to claim 1, is characterized in that, in the channel condition number of the described calculating MIMO transmission correlation matrix step as mimo channel relative coefficient,
MIMO transmission correlation matrix is
wherein H
00for transmitting terminal Tx0 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
01for transmitting terminal Tx0 is to the recombination coefficient of the RX path of receiving terminal Rx1, H
10for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
10for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
11for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx1;
Channel condition number is the characteristic value maximum H of described MIMO transmission correlation matrix
maxwith minimum value H
minratio
3. MIMO performance diagnogtics method according to claim 1, it is characterized in that, described method also comprises: calculate described transmitting terminal Tx0, Tx1 Reference Signal Received Power to the four road transmission paths of described receiving terminal Rx0, Rx1 respectively, generates MIMO covering performance evaluation graph according to described Reference Signal Received Power.
4. MIMO performance diagnogtics method according to claim 1, is characterized in that, the step of carrying out quality evaluation output MIMO performance fault community according to described mimo channel relative coefficient comprises:
Judge whether to there is performance fault by the two-way difference of reception antenna, if two-way difference is greater than a preset value, is that double fluid is uneven, namely there is MIMO performance fault.
5. MIMO performance diagnogtics method according to claim 1, is characterized in that, the step of carrying out quality evaluation output MIMO performance fault community according to described mimo channel relative coefficient comprises:
Judging whether to there is performance fault according to multipath quality correlation, if channel condition number is greater than a preset value and channel condition number invalid value accounting is greater than the community of a predetermined threshold value, is then multipath quality fault community.
6. a MIMO performance diagnostic system for LTE network, is characterized in that, described system comprises:
Multipath quality tester, for gathering the signal launched by LTE cell signal source transmitting terminal Tx0, Tx1 that receiving terminal Rx0, Rx1 receive;
Relative coefficient computing module, for calculating the channel condition number of MIMO transmission correlation matrix as mimo channel relative coefficient;
Evaluation module, exports MIMO performance fault community for carrying out quality evaluation according to described mimo channel relative coefficient.
7. MIMO performance diagnostic system according to claim 6, is characterized in that,
MIMO transmission correlation matrix is
wherein H
00for transmitting terminal Tx0 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
01for transmitting terminal Tx0 is to the recombination coefficient of the RX path of receiving terminal Rx1, H
10for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
10for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx0, H
11for transmitting terminal Tx1 is to the recombination coefficient of the RX path of receiving terminal Rx1;
Channel condition number is the characteristic value maximum H of described MIMO transmission correlation matrix
maxwith minimum value H
minratio
8. MIMO performance diagnostic system according to claim 6, is characterized in that, described system also comprises:
Reference Signal Received Power computing module, for calculating described transmitting terminal Tx0, Tx1 Reference Signal Received Power to the four road transmission paths of described receiving terminal Rx0, Rx1 respectively,
MIMO covering performance evaluation graph generation module, for generating MIMO covering performance evaluation graph according to described Reference Signal Received Power.
9. MIMO performance diagnostic system according to claim 6, it is characterized in that, described evaluation module also judges whether to there is performance fault for the two-way difference by reception antenna, if two-way difference is greater than a preset value, is that double fluid is uneven, namely there is MIMO performance fault.
10. MIMO performance diagnostic system according to claim 6, it is characterized in that, described evaluation module is also for judging whether to there is performance fault according to multipath quality correlation, if channel condition number is greater than a preset value and channel condition number invalid value accounting is greater than the community of a predetermined threshold value, be then multipath quality fault community.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107734525A (en) * | 2016-08-10 | 2018-02-23 | 中国移动通信集团广东有限公司 | A kind of LTE system RS balances based on frequency sweep determine method and device |
| CN108024262A (en) * | 2016-11-01 | 2018-05-11 | 中国移动通信集团广东有限公司 | A kind of double fluid fault analysis and handling method and server |
| CN108260146A (en) * | 2018-01-24 | 2018-07-06 | 深圳市科虹通信有限公司 | A kind of method and its system based on the optimization of interference matrix double-flow design |
| CN112485589A (en) * | 2020-11-17 | 2021-03-12 | 国网安徽省电力有限公司电力科学研究院 | Distribution real-time data warehouse-based real-time platform area power failure and fault sensing method |
| CN114422003A (en) * | 2022-03-31 | 2022-04-29 | 桔帧科技(江苏)有限公司 | Method, device and storage medium for detecting influence on MIMO data transmission ratio |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107734525A (en) * | 2016-08-10 | 2018-02-23 | 中国移动通信集团广东有限公司 | A kind of LTE system RS balances based on frequency sweep determine method and device |
| CN107734525B (en) * | 2016-08-10 | 2020-11-17 | 中国移动通信集团广东有限公司 | LTE system RS balance determination method and device based on frequency sweep |
| CN108024262A (en) * | 2016-11-01 | 2018-05-11 | 中国移动通信集团广东有限公司 | A kind of double fluid fault analysis and handling method and server |
| CN108024262B (en) * | 2016-11-01 | 2021-07-30 | 中国移动通信集团广东有限公司 | Double-flow fault analysis processing method and server |
| CN108260146A (en) * | 2018-01-24 | 2018-07-06 | 深圳市科虹通信有限公司 | A kind of method and its system based on the optimization of interference matrix double-flow design |
| CN112485589A (en) * | 2020-11-17 | 2021-03-12 | 国网安徽省电力有限公司电力科学研究院 | Distribution real-time data warehouse-based real-time platform area power failure and fault sensing method |
| CN114422003A (en) * | 2022-03-31 | 2022-04-29 | 桔帧科技(江苏)有限公司 | Method, device and storage medium for detecting influence on MIMO data transmission ratio |
| CN114422003B (en) * | 2022-03-31 | 2022-06-14 | 桔帧科技(江苏)有限公司 | Method, device and storage medium for detecting influence on MIMO data transmission ratio |
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