CN102035588A - Multicast transmit beamforming method and system based on angle information - Google Patents

Multicast transmit beamforming method and system based on angle information Download PDF

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CN102035588A
CN102035588A CN2010105764367A CN201010576436A CN102035588A CN 102035588 A CN102035588 A CN 102035588A CN 2010105764367 A CN2010105764367 A CN 2010105764367A CN 201010576436 A CN201010576436 A CN 201010576436A CN 102035588 A CN102035588 A CN 102035588A
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figuration
multicast
angle
vector
group
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孔勇
王正浩
谈振辉
门家强
朱刚
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Beijing Jiaotong University
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Abstract

The invention belongs to the technical field of mobile communication, in particular to a multicast transmit beamforming method and system based on angle information. In the invention, the angle information of target mobile stations is utilized to replace the complete channel information used in the traditional beamforming algorithm, thus the method and system are more suitable for a trunking communication system unable to obtain the channel information timely; and the beamforming gain is also utilized to replace the signal to noise ratio (SNR) used in the traditional beamforming algorithm to serve as the new beamforming optimization target, so the specific channel information can not be involved. The flow related to the invention comprises the following three steps: firstly, obtaining the angle information of the mobile stations by a base station; secondly, generating a beamforming vector based on that the beamforming gain serves as the optimization target; and finally, combining the beamforming vector with the signal to finish transmitting. According the invention, the received SNRs of the target users in the group sending services in trunking communication can be obviously improved; and the method and system provided by the invention are very applicable to the trunking communication system.

Description

Emission multicast shaping method and system based on angle information
Technical field
The invention belongs to the mobile communication technology field, be specifically related to a kind ofly utilize smart antenna to improve group calling in TD-SCDMA (TD SDMA) trunking communication, the method and system of targeted customer's received signal quality in the cluster sending business such as group busy.
Background technology
The development of signal processing technology during along with sky, intelligent antenna technology has obtained using widely at moving communicating field, it mainly utilizes the higher aerial array of the degree of correlation to come the signal of emission or reception is handled, obtain the performance that antenna array gain improves system, this method claims wave beam forming again.The launching beam figuration is meant that transmitting terminal is according to known channel information, produce an optimal transmit weights value, carry out preliminary treatment to transmitting, making transmits superposes in the space, form aim at the mark user's downlink wave beam of a main lobe, thereby improve targeted customer's signal to noise ratio, play the effect that improves user's received signal quality.
The intelligent antenna beam shaping of TD-SCDMA belongs to the category of point-to-point figuration basically at present, channel characteristics when being the base station according to the last line space of travelling carriage, mode by characteristic value decomposition generates optimum shape-endowing weight value, launch then, when downlink forming gain is provided, also provide the interference rejection capability of many minizones.
The TD-SCDMA group service is a kind of cluster sending business.In cluster sending business, a plurality of targeted customers of base station end in a user organizes send identical data.Because the targeted customer in the user organizes is randomly dispersed in the sub-district, and in this class business, the base station can't obtain targeted customer's channel information in time, therefore need a kind of new beam form-endowing method that is suitable for the TD-SCDMA trunked communication system of design.
Summary of the invention
In order to address the above problem, the present invention proposes a kind of beam form-endowing method and system based on angle information, this invention can significantly improve targeted customer's received signal to noise ratio with respect to the system that does not adopt wave beam forming in cluster sending business.
A kind of emission multicast shaping method based on angle information, this method may further comprise the steps: the angle information calculation procedure, calculate the angle between each targeted customer's travelling carriage and the smart antenna reference planes; The space characteristics calculation procedure based on described angle, is calculated the space characteristics of each targeted customer's travelling carriage angle of living in the group; Figuration vector calculation step based on described space characteristics, is calculated multicast launching beam figuration vector; Data sending step utilizes described multicast wave beam forming vector that the mass-sending signal is carried out wave beam forming and transmission.
Space characteristics a in the described space characteristics calculation procedure iExpression, a iComputational methods be:
Figure BSA00000376132700021
Wherein: θ iBe the travelling carriage at i targeted customer place in the group and the angle between the smart antenna reference planes.
Described figuration vector calculation step comprises: i) figuration gain calculation procedure: the figuration gain Gi that calculates each targeted customer received signal to noise ratio under fading channel in the group:
Figure BSA00000376132700022
Wherein: w is a multicast launching beam figuration vector, and ai is the space characteristics of i targeted customer's angle of living in; Ii) figuration vector calculation step: following formula calculates multicast launching beam figuration vector w under the situation that satisfies criterion 1 or criterion 2.Described criterion 1 is: all targeted customers' average figuration gain Gi maximum in the group, and the mould of multicast launching beam figuration vector w is 1; Described criterion 2 is: the minimum figuration gain Gi maximum that the internal object user of group obtains, and the mould of multicast launching beam figuration vector w is 1.
A kind of emission multicast figuration system based on angle information, this system comprises: the angle information computing module is used to calculate the angle between each targeted customer's travelling carriage and the smart antenna reference planes; The space characteristics computing module is used for based on described angle, calculates the space characteristics of each targeted customer's travelling carriage angle of living in the group; Figuration vector calculation module is used for based on described space characteristics, calculates multicast launching beam figuration vector; Data transmission blocks utilizes described multicast wave beam forming vector that the mass-sending signal is carried out wave beam forming and transmission.
The space characteristics that described space characteristics computing module calculates represents that with ai the computational methods of ai are:
Figure BSA00000376132700031
Wherein: θ iBe the travelling carriage at i targeted customer place in the group and the angle between the smart antenna reference planes.
Described figuration vector calculation module comprises: i) figuration gain computing unit is used to calculate the figuration gain Gi of each targeted customer received signal to noise ratio under fading channel in the group:
Figure BSA00000376132700032
Wherein: w is a multicast launching beam figuration vector, and ai is the space characteristics of i targeted customer's angle of living in; Ii) the figuration vector calculation unit is used for following formula under the situation that satisfies criterion 1 or criterion 2, calculates multicast launching beam figuration vector w.Described criterion 1 is: all targeted customers' average figuration gain Gi maximum in the group, and the mould of multicast launching beam figuration vector w is 1; Described criterion 2 is: the minimum figuration gain Gi maximum that the internal object user of group obtains, and the mould of multicast launching beam figuration vector w is 1.
Compare with existing method, the present invention has following advantage:
1. propose the snr gain maximum and turn to new figuration target, so the base station only needs to know user's angle information, and avoided complicated complete channel information transmission mechanism;
2. owing to adopted effective wave beam forming, improved targeted customer's received signal to noise ratio;
3. owing on specific direction, form shaped-beam, thereby reduced interference in the other direction to other groups;
4. less to the change of existing systems, be convenient to be applied in the real system.
Description of drawings
Fig. 1 is a concrete schematic diagram of implementing environment of the present invention;
Fig. 2 is implementing procedure figure of the present invention;
Fig. 3 is a structural representation of the present invention
Among the figure: 1, base station, 2, travelling carriage, 3, the smart antenna reference planes.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
As shown in Figure 2, a kind of emission multicast shaping method based on angle information, this method may further comprise the steps: angle information calculation procedure S1, calculate the angle between each targeted customer's travelling carriage and the smart antenna reference planes; Space characteristics calculation procedure S2 based on angle, calculates the space characteristics of each targeted customer's travelling carriage angle of living in the group; Figuration vector calculation step S3 based on space characteristics, calculates multicast launching beam figuration vector; Data sending step S4 utilizes multicast wave beam forming vector that the mass-sending signal is carried out wave beam forming and sent by smart antenna.
Space characteristics a in the space characteristics calculation procedure iExpression, in the uniform straight line array row, a iComputational methods be:
Figure BSA00000376132700041
Wherein: θ iBe the travelling carriage at i targeted customer place in the group and the angle between the smart antenna reference planes.
Figuration vector calculation step comprises: i) figuration gain calculation procedure: the figuration gain Gi that calculates each targeted customer received signal to noise ratio under fading channel in the group:
Figure BSA00000376132700051
Wherein: w is a multicast launching beam figuration vector, and ai is the space characteristics of i targeted customer's angle of living in; Ii) figuration vector calculation step: following formula calculates multicast launching beam figuration vector w under the situation that satisfies criterion 1 or criterion 2.Criterion 1 is: all targeted customers' average figuration gain Gi maximum in the group, and the mould of multicast launching beam figuration vector w is 1; Criterion 2 is: the minimum figuration gain Gi maximum that the internal object user of group obtains, and the mould of multicast launching beam figuration vector w is 1.
As shown in Figure 3, a kind of emission multicast figuration system based on angle information, this system comprises: angle information computing module 301 is used to calculate the angle between each targeted customer's travelling carriage and the smart antenna reference planes.Space characteristics computing module 302 is used for based on angle, calculates the space characteristics of each targeted customer's travelling carriage angle of living in the group.Figuration vector calculation module 303 is used for based on space characteristics, calculates multicast launching beam figuration vector.Data transmission blocks 304 utilizes multicast wave beam forming vector that the mass-sending signal is carried out wave beam forming and transmission.
The space characteristics that the space characteristics computing module calculates represents that with ai the computational methods of ai are: Wherein: θ iBe the travelling carriage at i targeted customer place in the group and the angle between the smart antenna reference planes.
Figuration vector calculation module comprises: i) figuration gain computing unit is used to calculate the figuration gain Gi of each targeted customer received signal to noise ratio under fading channel in the group:
Figure BSA00000376132700053
Wherein: w is a multicast launching beam figuration vector, and ai is the space characteristics of i targeted customer's angle of living in.Ii) the figuration vector calculation unit is used for following formula under the situation that satisfies criterion 1 or criterion 2, calculates multicast launching beam figuration vector w.Criterion 1 is: all targeted customers' average figuration gain Gi maximum in the group, and the mould of multicast launching beam figuration vector w is 1.Criterion 2 is: the minimum figuration gain Gi maximum that the internal object user of group obtains, and the mould of multicast launching beam figuration vector w is 1.
Embodiment:
The present invention can be applicable to also can be applied in the multicast transmitting business of other single base stations, simple group group in the cluster sending business of TD-SCDMA trunked communication system list base station, simple group group.Have under the situation of direct-view path (LOS, Line of Sight) effect of the present invention at radio propagation environment better.A scene that is suitable for the present invention is an example below, is elaborated.As shown in Figure 1, the wave beam main lobe that forms on all directions is demonstrated.
In the sub-district of a TD-SCDMA trunked communication system that has been equipped with smart antenna, the user of a group concentrates and is distributed on four main directions, the base station is formed on figuration main lobe on the four direction by the multicast launching beam figuration based on angle, thereby concentration of energy in the residing angular range of user, has been improved targeted customer's received signal to noise ratio.
Detailed implementing procedure is as follows:
Step 1: targeted customer's travelling carriage sends control information to base station 1 in turn according to the channel of stipulating in the group system, the state that reporting of mobile station 2 is current.Control information comprises sub-district, travelling carriage place, affiliated group, signal condition etc.The TD-SCDMA base station utilizes smart antenna to detect angle between each targeted customer's travelling carriage present position and the smart antenna reference planes 3 according to this control information, and constantly upgrades, as shown in Figure 1 and Figure 2.This step can adopt the ripe relatively angle of arrival (AOA, Angle of Arrival) detection algorithm to realize, as Capon method, MUSIC (multiple signal classification), ESPRIT (invariable rotary subspace) algorithm etc., can obtain the residing angle of user comparatively accurately.
Step 2:, calculate the space characteristics a of each targeted customer angle of living in the group according to the up-to-date angle information in the step 1 iIn the uniform straight line array row, a iComputational methods be: Wherein: θ iBe the travelling carriage at i targeted customer place in the group and the angle between the smart antenna reference planes.
Step 3: the figuration gain Gi that calculates each targeted customer received signal to noise ratio under fading channel in the group: Wherein: w is a multicast launching beam figuration vector, a iIt is the space characteristics of i targeted customer's angle of living in.
Present embodiment is targeted customer's reception figuration gain G iAs optimization aim.From whole group, figuration gain G iThe optimization criterion comprise two kinds of situations: first kind of situation can be the average received figuration gain of whole group as optimization aim, and the minimum figuration gain that second kind of situation obtains user in the group is represented to be with mathematic(al) representation as optimization aim:
First kind of situation:
Figure BSA00000376132700073
And | w| 2=1
In the following formula: C NRepresent a N dimension complex value vector, w is a multicast launching beam figuration vector, and N represents the number of bay in the smart antenna, and M represents the number of users in the group.First kind of situation kept under the constant prerequisite of entire antenna array transmitting power, makes targeted customer's received signal to noise ratio gain sum maximum, and promptly the mould of average received snr gain maximum and multicast launching beam figuration vector is 1.
Second kind of situation:
Figure BSA00000376132700074
And | w| 2=1
In the following formula: C NRepresent a N dimension complex value vector, N represents the number of bay in the smart antenna, and w is a multicast launching beam figuration vector, and M represents the number of users in the group.Second kind of situation kept under the constant prerequisite of entire antenna array transmitting power, makes snr gain maximum minimum among the targeted customer, and the mould that satisfies multicast launching beam figuration vector simultaneously is 1.
Optimize criterion according to first kind or second kind and calculate multicast launching beam figuration vector w.
Step 4: the wave beam forming vector that obtains in previous step is w=[w 0w 1w 2... w N] T, N is the array number of intelligent antenna array.Each element of figuration vector is represented the weighting of each bay to signal, and each element of signal and figuration vector is multiplied each other, and launches by bay then, just finishes the launching beam figuration.
A kind of emission multicast figuration system based on angle information, this system comprises: the angle information computing module is used to calculate the angle between each targeted customer's travelling carriage and the smart antenna reference planes; The space characteristics computing module is used for based on angle, calculates the space characteristics of each targeted customer's travelling carriage angle of living in the group; Figuration vector calculation module is used for based on space characteristics, calculates multicast launching beam figuration vector; Data transmission blocks utilizes multicast wave beam forming vector that the mass-sending signal is carried out wave beam forming and transmission.
The space characteristics that the space characteristics computing module calculates represents that with ai the computational methods of ai are:
Figure BSA00000376132700081
Wherein: θ iBe the travelling carriage at i targeted customer place in the group and the angle between the smart antenna reference planes.
Figuration vector calculation module comprises: i) figuration gain computing unit is used to calculate the figuration gain Gi of each targeted customer received signal to noise ratio under fading channel in the group:
Figure BSA00000376132700082
Wherein: w is a multicast launching beam figuration vector, and ai is the space characteristics of i targeted customer's angle of living in; Ii) the figuration vector calculation unit is used for following formula under the situation that satisfies criterion 1 or criterion 2, calculates multicast launching beam figuration vector w.Criterion 1 is: all targeted customers' average figuration gain Gi maximum in the group, and the mould of multicast launching beam figuration vector w is 1; Criterion 2 is: the minimum figuration gain Gi maximum that the internal object user of group obtains, and the mould of multicast launching beam figuration vector w is 1.
More than a kind of emission multicast shaping method and system based on angle information provided by the present invention described in detail, used specific embodiment herein principle of the present invention and execution mode are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, part in specific embodiments and applications all can change.In sum, this description should not be construed as limitation of the present invention.

Claims (6)

1. emission multicast shaping method based on angle information is characterized in that this method may further comprise the steps:
The angle information calculation procedure is calculated the angle between each targeted customer's travelling carriage and the smart antenna reference planes;
The space characteristics calculation procedure based on described angle, is calculated the space characteristics of each targeted customer's travelling carriage angle of living in the group;
Figuration vector calculation step based on described space characteristics, is calculated multicast launching beam figuration vector;
Data sending step utilizes described multicast wave beam forming vector that the mass-sending signal is carried out wave beam forming and transmission.
2. a kind of emission multicast shaping method based on angle information according to claim 1 is characterized in that the space characteristics a in the described space characteristics calculation procedure iExpression, a iComputational methods be:
a i = [ 1 e - jπ cos θ i e - j 2 π cos θ i · · · e - j ( N - 1 ) π cos θ i ] T
Wherein: θ iBe the travelling carriage at i targeted customer place in the group and the angle between the smart antenna reference planes.
3. a kind of emission multicast shaping method based on angle information according to claim 1 is characterized in that described figuration vector calculation step comprises:
I) figuration gain calculation procedure:
Calculate the figuration gain G of each targeted customer received signal to noise ratio under fading channel in the group i:
G i = w H a i a i H w = | w H a i | 2
Wherein: w is a multicast launching beam figuration vector, a iIt is the space characteristics of i targeted customer's angle of living in;
Ii) figuration vector calculation step:
Following formula calculates multicast launching beam figuration vector w under the situation that satisfies criterion 1 or criterion 2;
Described criterion 1 is: all targeted customers' average figuration gain G in the group iMaximum, and the mould of multicast launching beam figuration vector w is 1;
Described criterion 2 is: the minimum figuration gain G that the internal object user of group obtains iMaximum, and the mould of multicast launching beam figuration vector w is 1.
4. emission multicast figuration system based on angle information is characterized in that this system comprises:
The angle information computing module is used to calculate the angle between each targeted customer's travelling carriage and the smart antenna reference planes;
The space characteristics computing module is used for based on described angle, calculates the space characteristics of each targeted customer's travelling carriage angle of living in the group;
Figuration vector calculation module is used for based on described space characteristics, calculates multicast launching beam figuration vector;
Data transmission blocks utilizes described multicast wave beam forming vector that the mass-sending signal is carried out wave beam forming and transmission.
5. a kind of emission multicast figuration system based on angle information according to claim 4 is characterized in that the space characteristics a that described space characteristics computing module calculates iExpression, a iComputational methods be:
a i = [ 1 e - jπ cos θ i e - j 2 π cos θ i · · · e - j ( N - 1 ) π cos θ i ] T
Wherein: θ iBe the travelling carriage at i targeted customer place in the group and the angle between the smart antenna reference planes.
6. a kind of emission multicast figuration system based on angle information according to claim 4 is characterized in that described figuration vector calculation module comprises:
I) figuration gain computing unit is used to calculate the figuration gain Gi of each targeted customer received signal to noise ratio under fading channel in the group:
G i = w H a i a i H w = | w H a i | 2
Wherein: w is a multicast launching beam figuration vector, a iIt is the space characteristics of i targeted customer's angle of living in;
Ii) the figuration vector calculation unit is used for following formula under the situation that satisfies criterion 1 or criterion 2, calculates multicast launching beam figuration vector w;
Described criterion 1 is: all targeted customers' average figuration gain Gi maximum in the group, and the mould of multicast launching beam figuration vector w is 1;
Described criterion 2 is: the minimum figuration gain Gi maximum that the internal object user of group obtains, and the mould of multicast launching beam figuration vector w is 1.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102545986A (en) * 2012-01-16 2012-07-04 中国科学技术大学 Multicast beamforming method based on two-dimensional iteration
GB2543098A (en) * 2015-10-09 2017-04-12 Samsung Electronics Co Ltd Multicasting Data in a wireless communications network
CN109245812A (en) * 2018-09-13 2019-01-18 中国电子科技集团公司第二十八研究所 A kind of wave beam forming design method for Differentiated Services quality multiple groups multicast system
CN109982330A (en) * 2017-12-28 2019-07-05 海能达通信股份有限公司 Frequency spectrum resource dispatching method and device
CN110611540A (en) * 2018-06-14 2019-12-24 大唐移动通信设备有限公司 Method, device and system for determining antenna forming gain
CN113938172A (en) * 2021-09-18 2022-01-14 西北大学 Method for aligning passive sensor by signal beam forming

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1658526A (en) * 2004-02-17 2005-08-24 大唐移动通信设备有限公司 Down wave beam shaping method and device of radio channel
CN101364828A (en) * 2007-08-09 2009-02-11 中兴通讯股份有限公司 Downlink beam forming method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1658526A (en) * 2004-02-17 2005-08-24 大唐移动通信设备有限公司 Down wave beam shaping method and device of radio channel
CN101364828A (en) * 2007-08-09 2009-02-11 中兴通讯股份有限公司 Downlink beam forming method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
曾云宝等: "一种基于特征值分布的波束赋形方案", 《电子与信息学报》 *
王正浩等: "基于角度信息的发射多播波束赋形", 《电信科学》 *

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102545986A (en) * 2012-01-16 2012-07-04 中国科学技术大学 Multicast beamforming method based on two-dimensional iteration
CN102545986B (en) * 2012-01-16 2014-05-14 中国科学技术大学 Multicast beamforming method based on two-dimensional iteration
GB2543098A (en) * 2015-10-09 2017-04-12 Samsung Electronics Co Ltd Multicasting Data in a wireless communications network
GB2543098B (en) * 2015-10-09 2019-04-10 Samsung Electronics Co Ltd Multicasting Data in a wireless communications network
CN109982330A (en) * 2017-12-28 2019-07-05 海能达通信股份有限公司 Frequency spectrum resource dispatching method and device
CN109982330B (en) * 2017-12-28 2023-02-10 海能达通信股份有限公司 Spectrum resource scheduling method and device
CN110611540A (en) * 2018-06-14 2019-12-24 大唐移动通信设备有限公司 Method, device and system for determining antenna forming gain
CN110611540B (en) * 2018-06-14 2020-12-04 大唐移动通信设备有限公司 Method, device and system for determining antenna forming gain
CN109245812A (en) * 2018-09-13 2019-01-18 中国电子科技集团公司第二十八研究所 A kind of wave beam forming design method for Differentiated Services quality multiple groups multicast system
CN113938172A (en) * 2021-09-18 2022-01-14 西北大学 Method for aligning passive sensor by signal beam forming
CN113938172B (en) * 2021-09-18 2024-03-26 西北大学 Method for aligning signal beam forming with passive sensor

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Application publication date: 20110427