CN101741418A - Method and device for detecting sequence of intelligent antennae - Google Patents

Method and device for detecting sequence of intelligent antennae Download PDF

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CN101741418A
CN101741418A CN200810225531A CN200810225531A CN101741418A CN 101741418 A CN101741418 A CN 101741418A CN 200810225531 A CN200810225531 A CN 200810225531A CN 200810225531 A CN200810225531 A CN 200810225531A CN 101741418 A CN101741418 A CN 101741418A
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antenna
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sequence
intelligent
antennae
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CN101741418B (en
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蔡月民
吴柯维
康绍莉
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China Academy of Telecommunications Technology CATT
Datang Mobile Communications Equipment Co Ltd
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Datang Mobile Communications Equipment Co Ltd
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Abstract

The invention discloses a method for detecting a sequence of intelligent antennae. The method comprises the following steps that: a base station receives signals, which are sent by a terminal, through the intelligent antennae; the base station calculates a molding weight W according to the signals received by each antenna of the intelligent antennae and calculates an amplitude vector C of the molding weight W; and the base station analyzes an angle c of amplitude of each antenna according to the amplitude vector C, when the angles c of amplitude of the antennae form an arithmetic progression, the sequence of the intelligent antennae is connected normally, or the line sequence of the intelligent antennae is connected wrongly. The technical scheme provided by the invention is simple and highly efficient, and whether the sequence of the intelligent antennae has an error can be judged by simple operation, so the method for detecting the sequence of the intelligent antennae is favorable for monitoring system equipment and brings great convenience to an actual engineering.

Description

A kind of sequence of intelligent antennae detection method and device
Technical field
The present invention relates to moving communicating field, particularly, the present invention relates to the intelligent antenna technology field of mobile communication.
Background technology
In the development of mobile communication technology, intelligent antenna technology has become an important field of research.The advantage that intelligent antenna technology brings to mobile communication system is that present any technology all is difficult to substitute.In addition, when using smart antenna, also need to be used in combination other baseband digital signal treatment technology, as joint-detection, Interference Cancellation etc.
After in the wireless base station, having used intelligent antenna technology, will bring many benefits.The signal that the base station receives is from each antenna element and the received signal sum of receiver, if adopt the maximum power composition algorithm, to disregard under the condition of multipath transmisstion, then total received signal will increase by 10 * lgN dB, wherein, N is the quantity of antenna element.When having multipath, the improvement of this receiving sensitivity will be looked multipath transmisstion condition and uplink beam figuration algorithm and become, and its result is the gain of 10 * 1gN dB nearly also.
CDMA (Code Division Multiple Access, code division multiple access) system is a self-interference system, and the restriction of its capacity is mainly from the interference of native system.That is to say that it is very important to cdma system to reduce interference, reduce the capacity that just can increase cdma system greatly that disturbs.Used smart antenna in cdma system after, the possibilities that just provide resource that all spreading codes are provided all to utilize make the cdma system capacity above possibility that becomes that doubles.To using the wireless base station of common antenna, the covering of its sub-district is determined by the radiation direction of antenna fully.Certainly, the radiation direction of antenna may design as required.But after installing at the scene, unless change antenna, its radiation direction is impossible change and be difficult to adjust.But the radiation of smart antenna array then can be used software control fully, when the network coverage need be adjusted or occur new building former covering is changed, all can optimize by software very simply.
At present, intelligent antenna technology is as one of main direction of 3G technology development.Intelligent antenna technology not only can use in TDD system, also can use in the FDD system fully, the extensive use of smart antenna provides leading, a perfect technology platform for us just, and it has promoted the development of mobile communication technology to a certain extent.
Smart antenna specifically is applied in the mobile communication system, because cable is more, project installation is compared traditional a single aerial system and wanted complicated.For example at TD-SCDMA (the Time Division-Synchronization Code Division Multiple Access that adopts the unit 8 battle array, the TD SDMA access) in the system, the antenna installation process will connect 8 antennas and add a calibrating cable 9 antennas altogether, these 9 cables are fixed with the order of connection of antenna port, and in engineering, be easy to occur the situation of connection error owing to project installation personnel's operate miss, if calibrating cable has taken place with other cables, then can detect and occur at calibration process, but if connection error had taken place between any several in the unit 8, then could detect by calibration network.Can cause adverse effect to the network operate as normal if incorrect order appears in sequence of intelligent antennae, particularly can influence the shape of broadcast beam moulding, will have a strong impact on the network coverage like this, reduce systematic function.
Therefore, be necessary to propose the technical scheme that a kind of sequence of intelligent antennae detects, connect the problem that incorrect order occurs to solve the sequence of intelligent antennae that occurs in the antenna installation process.
Summary of the invention
The problem to be solved in the present invention is to propose a kind of sequence of intelligent antennae detection method and equipment, solves the sequence of intelligent antennae that occurs in the antenna installation process and connects the problem that incorrect order occurs.
For achieving the above object, the invention discloses a kind of sequence of intelligent antennae detection method, may further comprise the steps:
The signal that the base station sends by the smart antenna receiving terminal;
The calculated signals excipient weights W that receive according to every antenna of described smart antenna described base station, the argument vector C of calculating excipient weights W,
Described base station is analyzed the argument c of every antenna according to described argument vector C, and when the argument c of described every antenna formed arithmetic progression, described sequence of intelligent antennae connected normal, otherwise described sequence of intelligent antennae connection error.
According to embodiments of the invention, described base station receives the signal of the described terminal transmission with direct projection path by smart antenna.
According to embodiments of the invention, the signal that receive according to every antenna of described smart antenna described base station carries out channel estimating, utilizes EBB (EigenvalueBased Beamforming, characteristic vector) algorithm computation shape-endowing weight value W according to channel estimation results.
According to embodiments of the invention, the space covariance matrix R of the calculated signals signal that receive according to every antenna of described smart antenna described base station utilizes EBB algorithm computation shape-endowing weight value W according to space covariance matrix R.
According to embodiments of the invention, described base station is analyzed the argument c of every antenna according to described argument vector C and is comprised:
Distance between every antenna of described smart antenna equals the wavelength of 0.5 times received signal, successively two adjacent antennas are carried out the differential analysis of argument c, if the argument c of an antenna is greater than 180 degree behind last antenna ratio, then a back antenna argument c is added 360 degree at every turn, be more or less the same till 180 degree up to both arguments; If the argument c of an antenna is less than-180 degree behind last antenna ratio, then a back antenna argument c is deducted 360 degree at every turn, be more or less the same till 180 degree up to both arguments.
According to embodiments of the invention, the difference of guaranteeing the argument c between adjacent two antennas is less than also comprising after 180 degree: be antenna number with the abscissa, ordinate is that the argument c of every antenna draws point diagram, when each argument c point between the antenna is positioned on the straight line, differences such as the argument c formation of described every antenna, described sequence of intelligent antennae connects normal, otherwise described sequence of intelligent antennae connection error.
According to embodiments of the invention, also comprise:
The signal that receive according to every antenna of described smart antenna described base station carries out DOA to be estimated, calculates the argument c of described every antenna under this DOA angle.
According to embodiments of the invention, the angle of arrival that DOA estimates is after the α, also comprises:
Desired phase when calculating is α at the angle of arrival between each antenna is poor, β ' (ka)=cos (α) * 180 * (ka-1), ka=1...Ka;
The result proofreaies and correct to aforementioned calculation,
β ( ka ) = β ′ ( ka ) + 1 Ka ( Σ ka = 1 Ka c ( ka ) - Σ ka = 1 Ka β ′ ( ka ) ) , ka = 1 . . . Ka ;
Calculate the phase residual error factor,
Figure G2008102255315D0000042
If
Figure G2008102255315D0000043
Then think described sequence of intelligent antennae connection error, otherwise that described sequence of intelligent antennae connects is normal, wherein Ka is a number of antennas, and c (ka) be the argument of respective antenna, and Γ is the judgement threshold of setting.
The invention also discloses a kind of intelligent antennae sequence detection apparatus, comprising:
Signal acquisition module, described signal acquisition module are used to obtain the signal that sends by the smart antenna receiving terminal;
Computing module, described computing module are used for the excipient weights W according to the calculated signals smart antenna of being gathered, and calculate the argument vector C of excipient weights W,
Judge module, described analysis module are used for analyzing according to described argument vector C, and when the argument c of described every antenna formed arithmetic progression, it was normal to judge that described sequence of intelligent antennae connects, otherwise judges described sequence of intelligent antennae connection error.
According to embodiments of the invention, the signal that described signal acquisition module is obtained is the base station receives the described terminal transmission with direct projection path by smart antenna a signal.
According to embodiments of the invention, described computing module is used for carrying out channel estimating according to the signal of being gathered, and utilizes EBB algorithm computation shape-endowing weight value W according to channel estimation results.
According to embodiments of the invention, described computing module is used for the space covariance matrix R of the calculated signals signal received according to every antenna of described smart antenna, utilizes EBB algorithm computation shape-endowing weight value W according to space covariance matrix R.
According to embodiments of the invention, described judge module is analyzed the argument c of described every antenna and is comprised:
Distance between every antenna of described smart antenna equals the wavelength of 0.5 times received signal, successively two adjacent antennas are carried out the differential analysis of argument c, if the argument c of an antenna is greater than 180 degree behind last antenna ratio, then a back antenna argument c is added 360 degree at every turn, be more or less the same till 180 degree up to both arguments; If the argument c of an antenna is less than-180 degree behind last antenna ratio, then a back antenna argument c is deducted 360 degree at every turn, be more or less the same till 180 degree up to both arguments.
According to embodiments of the invention, described judge module is antenna number with the abscissa, with ordinate is the argument c picture point diagram of every antenna, when each argument c point between the antenna is positioned on the straight line, described judge module is judged the differences such as argument c formation of described every antenna, described sequence of intelligent antennae connects normal, otherwise described sequence of intelligent antennae connection error.
According to embodiments of the invention, described computing module also comprises the DOA computing module, described DOA computing module is used to calculate the angle of arrival α that described smart antenna is received signal, and it is poor that described DOA computing module is used to calculate when the angle of arrival is α the desired phase between each antenna, β ' (ka)=cos (α) * 180 * (ka-1), ka=1...Ka; And the aforementioned calculation result proofreaied and correct,
Figure G2008102255315D0000051
Further calculate the phase residual error factor,
Figure G2008102255315D0000052
If
Figure G2008102255315D0000053
Then think described sequence of intelligent antennae connection error, otherwise that described sequence of intelligent antennae connects is normal, wherein Ka is a number of antennas, and c (ka) be the argument of respective antenna, and Γ is the judgement threshold of setting.
Because smart antenna is in the process of installing, cable is more, and it is complicated more that project installation is compared traditional a single aerial system.Project installation personnel's easy operate miss and the situation of connection error occurs, sequence of intelligent antennae connects and the performance that incorrect order can have a strong impact on smart antenna occurs.Utilize technical scheme of the present invention, by in network craft terminal or signal transmitter, carrying out analysis and judgement, can be after the antenna installation, whether installation correctly detects to antenna.Utilize disclosed technical scheme of the present invention, simple, efficient, can judge by shirtsleeve operation whether the line preface exists mistake, helps system equipment is monitored, realize bringing great convenience to practical project.
Description of drawings
Fig. 1 is sequence of intelligent antennae testing process figure;
Fig. 2 is a smart antenna model schematic diagram;
Fig. 3 detects figure for no antenna inverted sequence line preface;
Fig. 4 is for there being antenna inverted sequence line preface detection figure;
Fig. 5 is an intelligent antennae sequence detection apparatus structure chart.
Embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail:
As shown in Figure 1, be the flow chart of a kind of implementation of realizing sequence of intelligent antennae detection method disclosed by the invention.
S100: by the smart antenna received signal.
In mobile communications network, the signal that the base station sends by the smart antenna receiving terminal.Wireless channel is generally variable at random unstable channel, and the distance of being separated by usually between terminal and the base station is far away, and has various barriers between the two.Preferably, the signal that has the terminal in direct projection path in the selection base station section receives, and the signal of receiving usually can be eager to excel than the signal of the terminal that does not have the direct projection path.As shown in Figure 2, be smart antenna illustraton of model in an embodiment of the present invention, preferred incoming signal be relative antenna surface azimuth with antenna surface normal angle α less than 30 signals of spending, having the terminal in direct projection path, shown in RP among the figure (Reference Point, reference point).
S200: the excipient weights of computational intelligence antenna, and the argument of calculating excipient weights.
The calculated signals excipient weights W that receive according to every antenna of smart antenna the base station, and the argument vector C of calculating excipient weights W.
According to the smart antenna principle, for even linear array, when terminal when smart antenna is far away, terminal transmits and arrives antenna and can think uniform plane wave.At this moment, only there is the difference of phase place in the signal on each reception antenna, and does not have the difference of amplitude.And, after the signal incident angle is determined, having fixed relationship between the argument of received signal on each antenna, it can calculate by path length difference and the electromagnetic wave propagation speed that signal arrives each antenna.Obviously for even linear array, the path length difference that signal arrives each antenna is an arithmetic progression, if there is antenna sequence number inverted sequence, then must not satisfy arithmetic progression.Therefore, by this relation, promptly whether decidable exists the problem of antenna line preface inverted sequence.The excipient weights W of smart antenna is made up of the excipient weights of every antenna, and the excipient weights of every antenna comprise amplitude and argument, and the argument vector of the excipient weights W correspondence of smart antenna is C.The argument c that comprises each root antenna among the argument vector C, so, if the argument c of each the root antenna that comprises satisfies arithmetic progression, then there is not the phenomenon of antenna line preface inverted sequence in the argument vector C of excipient weights W.
The base station can be tried to achieve the excipient weights W of smart antenna by multiple algorithm, for example, the signal that receive according to every antenna of described smart antenna the base station carries out channel estimating, utilize EBB algorithm computation shape-endowing weight value W according to channel estimation results, thereby further calculate the argument vector C of excipient weights W, comprise the argument c of each root antenna among the argument vector C.
In addition, the space covariance matrix R of the calculated signals signal that the base station can also be received according to every antenna of described smart antenna, utilize EBB algorithm computation shape-endowing weight value W according to space covariance matrix R, the eigenvalue of maximum characteristic of correspondence vector of space covariance matrix R is exactly shape-endowing weight value W.
The method of space covariance matrix R of directly trying to achieve signal by signal is as follows usually:
The first step: obtain each aerial signal, be made as: m (i, ka), i=1...N, ka=1...Ka.N is a signal length, and Ka is the total number of antenna.
Second step: ask signal space covariance matrix R (i), i=1...N:
R (m,n)(i)=m(i,m)*m(i,n),i=1...N,m=1...Ka,n=1...Ka
The 3rd step: ask signal space covariance matrix average R:
R ( m , n ) = 1 N Σ i = 1 N R ( m , n ) ( i ) .
S300: analyze between the argument of each antenna whether satisfy arithmetic progression.
The argument c that comprises each root antenna among the argument vector C, the base station is analyzed the argument c of above-mentioned every antenna according to described argument vector C, when the argument c of described every antenna formed arithmetic progression, sequence of intelligent antennae connected normal, otherwise sequence of intelligent antennae connection error.
As embodiments of the invention, the base station is analyzed the argument c of every antenna and is comprised:
Distance between every antenna of smart antenna equals the wavelength of 0.5 times received signal, successively two adjacent antennas are carried out the differential analysis of argument c, if the argument c's of an antenna greater than 180 degree behind last antenna ratio, then a back antenna argument c is added 360 degree at every turn, be more or less the same till 180 degree up to both arguments; If the argument c of an antenna is less than-180 degree behind last antenna ratio, then a back antenna argument c is deducted 360 degree at every turn, be more or less the same till 180 degree up to both arguments.
For example, for the smart antenna of TD-SCDMA system, adopt following method to judge:
Every antenna carries out following cycle criterion;
for?ka=1∶7
If big 180 degree of the argument of an antenna behind the ratio of last antenna;
If?c(ka)-c(ka+1)>180
Big 180 degree of the argument of an antenna behind the ratio of last antenna;
While?c(ka)-c(ka+1)>180
The argument of the antenna in back adds 360 degree;
c(ka+1)=c(ka+1)+360
End
If the argument of an antenna is less than-180 degree behind the ratio of last antenna;
else?if?c(ka)-c(ka+1)<=-180
The argument of an antenna is less than-180 degree behind the ratio of last antenna;
While?c(ka)-c(ka+1)<=-180
The argument of the antenna in back deducts 360 degree;
c(ka+1)=c(ka+1)-360
end
end
end
As embodiments of the invention, the difference of guaranteeing the argument c between adjacent two antennas is less than after 180 degree, can analyze sequence of intelligent antennae in the following way and whether have inverted sequence: be antenna number with the abscissa, ordinate is that the argument c of every antenna draws point diagram, when each argument c point between the antenna is positioned on the straight line, differences such as the argument c formation of every antenna, sequence of intelligent antennae connects normal, otherwise described sequence of intelligent antennae connection error.
As embodiments of the invention, the signal that receive according to every antenna of smart antenna the base station carries out DOA to be estimated, calculates the argument c of every antenna under this DOA angle.
For example, the base station estimates that by DOA the angle of arrival obtain is after the α, carries out the following steps analysis:
Desired phase when calculating is α at the angle of arrival between each antenna is poor, β ' (ka)=cos (α) * 180 * (ka-1), ka=1...ka;
The result proofreaies and correct to aforementioned calculation,
β ( ka ) = β ′ ( ka ) + 1 Ka ( Σ ka = 1 Ka c ( ka ) - Σ ka = 1 Ka β ′ ( ka ) ) , ka = 1 . . . Ka ;
Calculate the phase residual error factor,
Figure G2008102255315D0000092
If
Figure G2008102255315D0000093
Then think described sequence of intelligent antennae connection error, otherwise described sequence of intelligent antennae connects normal, wherein Γ is the judgement threshold of setting, desirable 0.5 or 1, can choose suitable thresholding according to the experiment simulation result judges, the more little criterion of Γ is strict more, and Ka is a number of antennas, and c (ka) is the argument of respective antenna.
In addition, can be to the phase place c after the above-mentioned processing (ka), β (ka), ka=1...Ka draws map analysis.Abscissa is antenna number ka, and ordinate is a phase place, can further find out the situation that whether has line preface inverted sequence on scheming, and can find out that there is inverted sequence in which antenna from figure.
β (ka) wherein, ka=1...Ka each point on the figure K that can draw a straight line.
1) if c (ka), ka=1...Ka has a few on straight line K, and is perhaps very approaching from straight line K, then do not have the situation of line preface inverted sequence.
2) if c (ka), ka=1...Ka partly puts and belongs to straight line K, part point does not belong to straight line K, then has the situation of antenna line preface inverted sequence, and there is inverted sequence in the pairing antenna of point that does not belong to straight line K.
3) if c (ka), ka=1...Ka has a few not on straight line K, then has the situation of antenna line preface inverted sequence.
As shown in Figure 3, be the diagram of experiment simulation under the sequence of intelligent antennae normal condition.
As shown in Figure 4, be the diagram of experiment simulation under the line preface inverted sequence condition of first, second antenna of smart antenna.
As shown in Figure 5, the invention also discloses a kind of intelligent antennae sequence detection apparatus 500, comprising:
Signal acquisition module 510, signal acquisition module 510 are used to obtain the signal that sends by the smart antenna receiving terminal;
Computing module 520, computing module 520 are used for the excipient weights W according to the calculated signals smart antenna of being gathered, and calculate the argument vector C of excipient weights W,
Judge module 530, analysis module is used for analyzing according to argument vector C, comprises the argument c of each root antenna among the argument vector C, when the argument c of every antenna forms arithmetic progression, it is normal to judge that sequence of intelligent antennae connects, otherwise judges sequence of intelligent antennae connection error.
The excipient weights W of smart antenna is made up of the excipient weights of every antenna, and the excipient weights of every antenna comprise amplitude and argument, and the argument vector of the excipient weights W correspondence of smart antenna is C, comprises the argument c of each root antenna among the argument vector C.
As the embodiment of the said equipment, the signal that signal acquisition module 510 is obtained is the base station receives the terminal transmission with direct projection path by smart antenna a signal.
As the embodiment of the said equipment, computing module 520 is used for carrying out channel estimating according to the signal of being gathered, and utilizes EBB algorithm computation shape-endowing weight value W according to channel estimation results.
As the embodiment of the said equipment, computing module 520 is used for the space covariance matrix R of the calculated signals signal received according to every antenna of smart antenna, utilizes EBB algorithm computation shape-endowing weight value W according to space covariance matrix R.
As the embodiment of the said equipment, the argument c of 530 pairs of every antennas of judge module analyzes and comprises:
Distance between every antenna of smart antenna equals the wavelength of 0.5 times received signal, successively two adjacent antennas are carried out the differential analysis of argument c, if the argument c's of an antenna greater than 180 degree behind last antenna ratio, then a back antenna argument c is added 360 degree at every turn, be more or less the same till 180 degree up to both arguments; If the argument c of an antenna is less than-180 degree behind last antenna ratio, then a back antenna argument c is deducted 360 degree at every turn, be more or less the same till 180 degree up to both arguments.
Embodiment as the said equipment, judge module 530 is an antenna number with the abscissa, with ordinate is the argument c picture point diagram of every antenna, when each argument c point between the antenna is positioned on the straight line, judge module 530 is judged the differences such as argument c formation of every antenna, sequence of intelligent antennae connects normal, otherwise sequence of intelligent antennae connection error.
Embodiment as the said equipment, computing module 520 also comprises DOA computing module 521, DOA computing module 521 is used for the angle of arrival α that the computational intelligence antenna is received signal, and it is poor that DOA computing module 521 is used to calculate when the angle of arrival is α the desired phase between each antenna, β ' (ka)=cos (α) * 180 * (ka-1), ka=1...Ka; And the aforementioned calculation result proofreaied and correct,
Figure G2008102255315D0000111
Further calculate the phase residual error factor,
Figure G2008102255315D0000112
If
Figure G2008102255315D0000113
Then judge module 530 is judged sequence of intelligent antennae connection error, otherwise it is normal to judge that sequence of intelligent antennae connects, wherein Γ is the judgement threshold of setting, desirable 0.5 or 1, can choose suitable thresholding according to the experiment simulation result judges, the more little criterion of Γ is strict more, and Ka is a number of antennas, and c (ka) is the argument of respective antenna.
The above only is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (15)

1. a sequence of intelligent antennae detection method is characterized in that, may further comprise the steps:
The signal that the base station sends by the smart antenna receiving terminal;
The calculated signals excipient weights W that receive according to every antenna of described smart antenna described base station, the argument vector C of calculating excipient weights W,
Described base station is analyzed the argument c of every antenna according to described argument vector C, and when the argument c of described every antenna formed arithmetic progression, described sequence of intelligent antennae connected normal, otherwise described sequence of intelligent antennae connection error.
2. sequence of intelligent antennae detection method as claimed in claim 1 is characterized in that, described base station receives the signal of the described terminal transmission with direct projection path by smart antenna.
3. sequence of intelligent antennae detection method as claimed in claim 1 is characterized in that, the signal that receive according to every antenna of described smart antenna described base station carries out channel estimating, utilizes characteristic vector EBB algorithm computation shape-endowing weight value W according to channel estimation results.
4. sequence of intelligent antennae detection method as claimed in claim 1, it is characterized in that, the space covariance matrix R of the calculated signals signal that receive according to every antenna of described smart antenna described base station utilizes EBB algorithm computation shape-endowing weight value W according to space covariance matrix R.
5. as the described sequence of intelligent antennae detection method of one of claim 1 to 4, it is characterized in that described base station is analyzed the argument c of described every antenna and comprised:
Distance between every antenna of described smart antenna equals the wavelength of 0.5 times received signal, successively two adjacent antennas are carried out the differential analysis of argument c, if the argument c's of an antenna greater than 180 degree behind last antenna ratio, then a back antenna argument c is added 360 degree at every turn, be more or less the same till 180 degree up to both arguments; If the argument c of an antenna is less than-180 degree behind last antenna ratio, then a back antenna argument c is deducted 360 degree at every turn, be more or less the same till 180 degree up to both arguments.
6. sequence of intelligent antennae detection method as claimed in claim 5, it is characterized in that, the difference of guaranteeing the argument c between adjacent two antennas is less than also comprising after 180 degree: be antenna number with the abscissa, ordinate is that the argument c of every antenna draws point diagram, when each argument c point between the antenna is positioned on the straight line, differences such as the argument c formation of described every antenna, described sequence of intelligent antennae connects normal, otherwise described sequence of intelligent antennae connection error.
7. sequence of intelligent antennae detection method as claimed in claim 5 is characterized in that, also comprises:
The signal that receive according to every antenna of described smart antenna described base station carries out DOA to be estimated, calculates the argument c of described every antenna under this DOA angle.
8. sequence of intelligent antennae detection method as claimed in claim 5 is characterized in that, the angle of arrival that DOA estimates is after the α, also comprises:
Desired phase when calculating is α at the angle of arrival between each antenna is poor, β ' (ka)=cos (α) * 180 * (ka-1), ka=1...Ka;
The result proofreaies and correct to aforementioned calculation,
β ( ka ) = β ′ ( ka ) + 1 Ka ( Σ ka = 1 Ka c ( ka ) - Σ ka = 1 Ka β ′ ( ka ) ) , ka = 1 . . . Ka ;
Calculate the phase residual error factor,
Figure F2008102255315C0000022
If Then think described sequence of intelligent antennae connection error, otherwise that described sequence of intelligent antennae connects is normal, wherein Ka is a number of antennas, and c (ka) be the argument of respective antenna, and Γ is the judgement threshold of setting.
9. an intelligent antennae sequence detection apparatus is characterized in that, comprising:
Signal acquisition module, described signal acquisition module are used to obtain the signal that sends by the smart antenna receiving terminal;
Computing module, described computing module are used for the excipient weights W according to the calculated signals smart antenna of being gathered, and calculate the argument vector C of excipient weights W,
Judge module, described analysis module are used for analyzing according to described argument vector C, and when the argument c of described every antenna formed arithmetic progression, it was normal to judge that described sequence of intelligent antennae connects, otherwise judges described sequence of intelligent antennae connection error.
10. intelligent antennae sequence detection apparatus as claimed in claim 9 is characterized in that, the signal that described signal acquisition module is obtained is the base station receives the described terminal transmission with direct projection path by smart antenna a signal.
11. intelligent antennae sequence detection apparatus as claimed in claim 9 is characterized in that described computing module is used for carrying out channel estimating according to the signal of being gathered, and utilizes EBB algorithm computation shape-endowing weight value W according to channel estimation results.
12. intelligent antennae sequence detection apparatus as claimed in claim 9, it is characterized in that, described computing module is used for the space covariance matrix R of the calculated signals signal received according to every antenna of described smart antenna, utilizes EBB algorithm computation shape-endowing weight value W according to space covariance matrix R.
13. intelligent antennae sequence detection apparatus as claimed in claim 9 is characterized in that, described judge module is analyzed the argument c of described every antenna and is comprised:
Distance between every antenna of described smart antenna equals the wavelength of 0.5 times received signal, successively two adjacent antennas are carried out the differential analysis of argument c, if the argument c's of an antenna greater than 180 degree behind last antenna ratio, then a back antenna argument c is added 360 degree at every turn, be more or less the same till 180 degree up to both arguments; If the argument c of an antenna is less than-180 degree behind last antenna ratio, then a back antenna argument c is deducted 360 degree at every turn, be more or less the same till 180 degree up to both arguments.
14. intelligent antennae sequence detection apparatus as claimed in claim 13, it is characterized in that, described judge module is antenna number with the abscissa, with ordinate is the argument c picture point diagram of every antenna, when each argument c point between the antenna is positioned on the straight line, described judge module is judged the differences such as argument c formation of described every antenna, and described sequence of intelligent antennae connects normal, otherwise described sequence of intelligent antennae connection error.
15. intelligent antennae sequence detection apparatus as claimed in claim 13, it is characterized in that, described computing module also comprises the DOA computing module, described DOA computing module is used to calculate the angle of arrival α that described smart antenna is received signal, and it is poor that described DOA computing module is used to calculate when the angle of arrival is α the desired phase between each antenna, β ' (ka)=cos (α) * 180 * (ka-1), ka=1...Ka; And the aforementioned calculation result proofreaied and correct,
Figure F2008102255315C0000031
Ka=1...Ka; Further calculate the phase residual error factor,
Figure F2008102255315C0000032
If
Figure F2008102255315C0000033
Then think described sequence of intelligent antennae connection error, otherwise that described sequence of intelligent antennae connects is normal, wherein Ka is a number of antennas, and c (ka) be the argument of respective antenna, and Γ is the judgement threshold of setting.
CN200810225531.5A 2008-11-04 2008-11-04 Method and device for detecting sequence of intelligent antennae Active CN101741418B (en)

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WO2017000552A1 (en) * 2015-06-29 2017-01-05 中兴通讯股份有限公司 Method and apparatus for detecting connection line order of electrical tilting antenna
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WO2017000552A1 (en) * 2015-06-29 2017-01-05 中兴通讯股份有限公司 Method and apparatus for detecting connection line order of electrical tilting antenna
CN106330345A (en) * 2015-06-29 2017-01-11 中兴通讯股份有限公司 Method and device for detecting connection line sequence of electric tilt antennas
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US11095017B2 (en) 2018-07-13 2021-08-17 Apple Inc. Electronic device having angle of arrival detection capabilities
US12044788B2 (en) 2018-07-13 2024-07-23 Apple Inc. Electronic device having angle of arrival detection capabilities
US11946981B2 (en) 2019-09-25 2024-04-02 Huawei Technologies Co., Ltd. Cable sequence detection method and detection system

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