CN104639222A - Self-adaptive beam forming method of intelligent antenna - Google Patents
Self-adaptive beam forming method of intelligent antenna Download PDFInfo
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- CN104639222A CN104639222A CN201510054647.7A CN201510054647A CN104639222A CN 104639222 A CN104639222 A CN 104639222A CN 201510054647 A CN201510054647 A CN 201510054647A CN 104639222 A CN104639222 A CN 104639222A
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Abstract
The invention discloses a self-adaptive beam forming method of an intelligent antenna. The self-adaptive beam forming method comprises the specific steps: emitting a training sequence, estimating a channel, selecting an optimal beam forming matrix, feeding back information and forming a beam. When the training sequence is emitted, an emission end sends the training sequence to each middle node and a receiving end through a random beam; each middle node signal processor transmits the received training sequence to the receiving end by adopting an amplification and transmission manner; a channel estimating device of each middle node estimates a channel matrix from the emission end to the middle node according to the received training sequence and transmits information of the channel matrix to the receiving end. According to the self-adaptive beam forming method of the intelligent antenna, a main lobe of an array antenna directional diagram in the intelligent antenna points to a needed direction and a null aligns to an interference direction; the intensity of a needed signal of array output is improved as much as possible, and a large enough signal-to-noise rate is obtained; the high-precision target resolution capability is obtained; meanwhile, the intensity of interference signals is reduced, and the signal to interference and noise ratio of the array output is improved.
Description
Technical field
The present invention relates to wireless communication field, particularly relate to a kind of adaptive beamforming method of smart antenna.
Background technology
Along with the fast development of global mobile communication business and the huge potential demand of mobile multi-media service, people have higher requirement to the service quality of mobile communication and content, and capacity problem and frequency resource problem have become the key factor of restriction Mobile Communication Development.Under limited communication resource condition, under the channel capacity deficiency caused due to sharply increasing of mobile subscriber's quantity, communication quality, degradation problem becomes very outstanding.In order to effectively improve the performance of communication system, smart antenna SA technology is introduced into mobile communication system.Intelligent antenna technology adopts space division multiple access SDMA mode, and can combine with other multiple access technologies, maximally utilises limited frequency spectrum resource, improves power system capacity, improves communication quality.Smart antenna is that the solution of the problems referred to above brings new thinking, is considered to the last frontier of wireless mobile telecommunication technology.
The basic thought of smart antenna is followed the tracks of by adaptive array antenna and extracts the spatial information of each mobile subscriber, utilize the difference of customer location, send in same channel (frequency range/time slot/code channel) and receive the spatial information of each user and mutual interference does not occur.In fact it makes the communication resource no longer be confined to time-domain, frequency domain or code domain and extend to spatial domain.Owing to adding one-dimensional space territory, the channel between base station array antenna and mobile subscriber not only has traditional system responses, also changes along with the change of space path, is therefore a kind of space-time channels of broad sense.The final purpose of smart antenna is the beam antenna directional diagram producing multiple user in real time, and Wave beam forming is the key core technology that smart antenna realizes.For a complete antenna system, the exploration that carry out mainly contains the content of five aspects: arrival bearing DOA estimates, the Optimality Criteria of Wave beam forming, digital beam froming DBF, up link and down link relation technological researching.
Summary of the invention
The object of the present invention is to provide a kind of easy to use, adaptive beamforming method that automatically can regulate the smart antenna of filtering performance, to solve the problem proposed in above-mentioned background technology.
For achieving the above object, the invention provides following technical scheme:
An adaptive beamforming method for smart antenna, concrete steps are as follows:
(1) transmitting terminal sends training sequence by random wave bundle to each intermediate node and receiving terminal, the training sequence received adopts the mode of amplification forwarding to be transmitted to receiving terminal by intermediate node signal processor, the channel estimator of intermediate node estimates the channel matrix of transmitting terminal to intermediate node according to the training sequence received, and the information of channel matrix is forwarded to receiving terminal;
(2) receiving terminal channel estimator estimates transmitting terminal to the channel matrix of receiving terminal and intermediate node to the channel matrix of receiving terminal respectively according to the training sequence received, and receiver signal processor carries out merging treatment to three channel matrixes and obtains the channel estimation Signal of transmitting terminal to receiving terminal;
(3) receiving terminal is according to the modulus value of Signal estimation calculated signals respective channels vector and each random wave bundle inner product;
(4) use the multiple reference signals sent to send wave beam by first to be defined as preferably sending wave beam, generate and preferably send beam information, send to intermediate node or receiving terminal and preferably send beam information, send wave beam via first and receive transmission from sending node, carry out arriving time delay detection to the transmission beam information received thus obtain corresponding to the reference signal of this transmission beam information
(5) reference signal of the transmission beam information obtained in step (4) and transmission beam information are processed, select optimal beam forming matrix according to minimum mean square error criterion;
(6) beam information of the optimal beam forming matrix selected is fed back to transmitting terminal by receiving terminal;
(7) optimal beam forming matrix premultiplication to transmit to obtain according to adaptive beamforming algorithm and upgrades weight vector by transmitting terminal, and transmitting after antenna transmission weighting, completes beam forming.
As the further scheme of the present invention: described adaptive beamforming algorithm is least-mean-square error algorithm.
As the present invention's further scheme: be also provided with feedback control module between described transmitting terminal and receiving terminal.
Compared with prior art, the invention has the beneficial effects as follows:
The present invention makes the direction needed for main lobe sensing of array aerial direction figure in smart antenna, and make its zero sunken aligning interference radiating way, improve the intensity that array exports desired signal as much as possible, obtain enough large signal to noise ratio, obtain high-precision target discrimination, reduce the intensity of interference signal simultaneously, thus improve the Signal to Interference plus Noise Ratio of array output; Have stronger antijamming capability, Wave beam forming antenna can change directional diagram arbitrarily, fully suppresses interference, normally can work under more complicated electromagnetic environment while guarantee receives useful signal.
Embodiment
Be described in more detail below in conjunction with the technical scheme of embodiment to this patent.
An adaptive beamforming method for smart antenna, concrete steps are as follows:
(1) transmitting terminal sends training sequence by random wave bundle to each intermediate node and receiving terminal, the training sequence received adopts the mode of amplification forwarding to be transmitted to receiving terminal by intermediate node signal processor, the channel estimator of intermediate node estimates the channel matrix of transmitting terminal to intermediate node according to the training sequence received, and the information of channel matrix is forwarded to receiving terminal;
(2) receiving terminal channel estimator estimates transmitting terminal to the channel matrix of receiving terminal and intermediate node to the channel matrix of receiving terminal respectively according to the training sequence received, and receiver signal processor carries out merging treatment to three channel matrixes and obtains the channel estimation Signal of transmitting terminal to receiving terminal;
(3) receiving terminal is according to the modulus value of Signal estimation calculated signals respective channels vector and each random wave bundle inner product;
(4) use the multiple reference signals sent to send wave beam by first to be defined as preferably sending wave beam, generate and preferably send beam information, send to intermediate node or receiving terminal and preferably send beam information, send wave beam via first and receive transmission from sending node, carry out arriving time delay detection to the transmission beam information received thus obtain corresponding to the reference signal of this transmission beam information
(5) reference signal of the transmission beam information obtained in step (4) and transmission beam information are processed, select optimal beam forming matrix according to minimum mean square error criterion;
(6) be also provided with feedback control module between transmitting terminal and receiving terminal, the beam information of the optimal beam forming matrix selected is fed back to transmitting terminal by feedback control module by receiving terminal;
(7) optimal beam forming matrix premultiplication to transmit to obtain according to adaptive beamforming algorithm and upgrades weight vector by transmitting terminal, and transmitting after antenna transmission weighting, completes beam forming, and adaptive beamforming algorithm is least-mean-square error algorithm.
Described minimum mean square error criterion is exactly that the mean-square value of evaluated error is minimized, and specifically, makes the mean square error group between transmission beam information and the reference signal sending beam information minimum exactly.
The present invention makes the direction needed for main lobe sensing of array aerial direction figure in smart antenna, and make its zero sunken aligning interference radiating way, improve the intensity that array exports desired signal as much as possible, obtain enough large signal to noise ratio, obtain high-precision target discrimination, reduce the intensity of interference signal simultaneously, thus improve the Signal to Interference plus Noise Ratio of array output; Have stronger antijamming capability, Wave beam forming antenna can change directional diagram arbitrarily, fully suppresses interference, normally can work under more complicated electromagnetic environment while guarantee receives useful signal.
The above; be only the present invention's preferably embodiment; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the present invention discloses; be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, all should be encompassed within protection scope of the present invention.
Claims (3)
1. an adaptive beamforming method for smart antenna, it is characterized in that, concrete steps are as follows:
(1) transmitting terminal sends training sequence by random wave bundle to each intermediate node and receiving terminal, the training sequence received adopts the mode of amplification forwarding to be transmitted to receiving terminal by intermediate node signal processor, the channel estimator of intermediate node estimates the channel matrix of transmitting terminal to intermediate node according to the training sequence received, and the information of channel matrix is forwarded to receiving terminal;
(2) receiving terminal channel estimator estimates transmitting terminal to the channel matrix of receiving terminal and intermediate node to the channel matrix of receiving terminal respectively according to the training sequence received, and receiver signal processor carries out merging treatment to three channel matrixes and obtains the channel estimation Signal of transmitting terminal to receiving terminal;
(3) receiving terminal is according to the modulus value of Signal estimation calculated signals respective channels vector and each random wave bundle inner product;
(4) use the multiple reference signals sent to send wave beam by first to be defined as preferably sending wave beam, generate and preferably send beam information, send to intermediate node or receiving terminal and preferably send beam information, send wave beam via first and receive transmission from sending node, carry out arriving time delay detection to the transmission beam information received thus obtain corresponding to the reference signal of this transmission beam information
(5) reference signal of the transmission beam information obtained in step (4) and transmission beam information are processed, select optimal beam forming matrix according to minimum mean square error criterion;
(6) beam information of the optimal beam forming matrix selected is fed back to transmitting terminal by receiving terminal;
(7) optimal beam forming matrix premultiplication to transmit to obtain according to adaptive beamforming algorithm and upgrades weight vector by transmitting terminal, and transmitting after antenna transmission weighting, completes beam forming.
2. the adaptive beamforming method of smart antenna according to claim 1, is characterized in that, described adaptive beamforming algorithm is least-mean-square error algorithm.
3. the adaptive beamforming method of smart antenna according to claim 1, is characterized in that, is also provided with feedback control module between described transmitting terminal and receiving terminal.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016177165A1 (en) * | 2015-09-28 | 2016-11-10 | 中兴通讯股份有限公司 | Beam training method and device |
| CN106411381A (en) * | 2016-11-07 | 2017-02-15 | 北京佰才邦技术有限公司 | Data transmission method and device |
| CN107872253A (en) * | 2016-09-27 | 2018-04-03 | 华为技术有限公司 | Wave beam tracking, equipment and system |
| CN107872252A (en) * | 2016-09-23 | 2018-04-03 | 北京大学（天津滨海）新代信息技术研究院 | A kind of same frequency while full duplex system terminal room interference elimination method based on launching beam shaping |
| CN107958106A (en) * | 2017-11-13 | 2018-04-24 | 东南大学 | A kind of directional diagram numerical optimization of circle bore planar array antenna |
| CN109104228A (en) * | 2018-07-13 | 2018-12-28 | 安徽蓝煜电子科技有限公司 | A kind of algorithm of wave beam forming |
| CN109687895A (en) * | 2017-10-19 | 2019-04-26 | 华为技术有限公司 | Wave beam training method and wave beam training device |
| CN110417443A (en) * | 2019-08-12 | 2019-11-05 | 长春理工大学 | A kind of cooperation transmission performance optimization method and system based on nodes ' behavior |
| CN111629428A (en) * | 2020-06-11 | 2020-09-04 | 中国人民解放军军事科学院军事科学信息研究中心 | Method for radio network controller to obtain minimum receiving power |
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| US7904117B2 (en) * | 2005-08-12 | 2011-03-08 | Sibeam | Wireless communication device using adaptive beamforming |
| CN102185643A (en) * | 2011-05-18 | 2011-09-14 | 西安电子科技大学 | Cooperative communication multi-resolution self-adapting wave beam forming method |
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Patent Citations (2)
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| US7904117B2 (en) * | 2005-08-12 | 2011-03-08 | Sibeam | Wireless communication device using adaptive beamforming |
| CN102185643A (en) * | 2011-05-18 | 2011-09-14 | 西安电子科技大学 | Cooperative communication multi-resolution self-adapting wave beam forming method |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106559114A (en) * | 2015-09-28 | 2017-04-05 | 中兴通讯股份有限公司 | A kind of wave beam training method and device |
| WO2016177165A1 (en) * | 2015-09-28 | 2016-11-10 | 中兴通讯股份有限公司 | Beam training method and device |
| CN107872252B (en) * | 2016-09-23 | 2020-06-26 | 北京大学（天津滨海）新一代信息技术研究院 | Method for eliminating interference between terminals of co-frequency simultaneous full duplex system based on transmit beam forming |
| CN107872252A (en) * | 2016-09-23 | 2018-04-03 | 北京大学（天津滨海）新代信息技术研究院 | A kind of same frequency while full duplex system terminal room interference elimination method based on launching beam shaping |
| CN107872253A (en) * | 2016-09-27 | 2018-04-03 | 华为技术有限公司 | Wave beam tracking, equipment and system |
| CN107872253B (en) * | 2016-09-27 | 2021-06-08 | 华为技术有限公司 | Beam tracking method, device and system |
| CN106411381A (en) * | 2016-11-07 | 2017-02-15 | 北京佰才邦技术有限公司 | Data transmission method and device |
| CN106411381B (en) * | 2016-11-07 | 2020-05-01 | 北京佰才邦技术有限公司 | Data transmission method and device |
| CN109687895A (en) * | 2017-10-19 | 2019-04-26 | 华为技术有限公司 | Wave beam training method and wave beam training device |
| CN107958106A (en) * | 2017-11-13 | 2018-04-24 | 东南大学 | A kind of directional diagram numerical optimization of circle bore planar array antenna |
| CN107958106B (en) * | 2017-11-13 | 2019-07-30 | 东南大学 | A kind of directional diagram numerical optimization of circle bore planar array antenna |
| CN109104228A (en) * | 2018-07-13 | 2018-12-28 | 安徽蓝煜电子科技有限公司 | A kind of algorithm of wave beam forming |
| CN110417443B (en) * | 2019-08-12 | 2020-09-15 | 长春理工大学 | Cooperative transmission performance optimization method and system based on node behaviors |
| CN110417443A (en) * | 2019-08-12 | 2019-11-05 | 长春理工大学 | A kind of cooperation transmission performance optimization method and system based on nodes ' behavior |
| CN111629428A (en) * | 2020-06-11 | 2020-09-04 | 中国人民解放军军事科学院军事科学信息研究中心 | Method for radio network controller to obtain minimum receiving power |
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