CN107087278A - A kind of distributed beams forming method of adaptive variance - Google Patents
A kind of distributed beams forming method of adaptive variance Download PDFInfo
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- CN107087278A CN107087278A CN201710256712.3A CN201710256712A CN107087278A CN 107087278 A CN107087278 A CN 107087278A CN 201710256712 A CN201710256712 A CN 201710256712A CN 107087278 A CN107087278 A CN 107087278A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/24—Cell structures
- H04W16/28—Cell structures using beam steering
Abstract
A kind of distributed beams forming method of adaptive variance, dynamic adjustment σ value, while improving speed, obtains higher gain, m=10, c=0.85, sender：Number of iterations and m remainders, if remainder ＞ m/2, using σ Gaussian Profile, if remainder ＜ m/2, using the Gaussian Profile of σ/2；Acquisition phase adjustment value, obtains b_count when feeding back 1 and s_count when feeding back 1 is obtained when using the Gaussian Profile of σ/2 when statistics uses σ Gaussian Profile respectively, if b_count ＞ s_count, σ=σ/c, otherwise σ=σ * c.It is an object of the invention to propose a kind of distributed beams forming method of adaptive variance, by using new algorithm, the number of times of iteration is reduced, and improves the gain for receiving signal.
Description
Technical field
The present invention relates to technical field of wireless, more particularly to a kind of distributed beams side of being formed of adaptive variance
Method.
Background technology
Wireless senser is densely distributed due to finite energy, in order to will send information to farther distance, often using many
Individual transmitters sends identical information simultaneously, and the letter that all transmitters are sent is have received in receiver
Breath.Because recipient and each sender have small distance difference, so that the signal for causing receiver to receive is different
The superposition of phase, simultaneously because between each transmitter local crystal oscillator difference, also result in phase difference.
The content of the invention
It is an object of the invention to solve the above problems to propose a kind of distributed beams forming method of adaptive variance.
In order to reach this purpose, the present invention uses following technical scheme：
A kind of distributed beams forming method of adaptive variance, according to transmission signal formula
With reception signal formulaWherein n (t) is N (0, σ2) Gaussian noise, γi
It is i-th of transmitters phase initial value, θiIt is the phase difference caused by channel；
Comprise the following steps：
Step one：Each transmitters adjusts the transmission phase of oneself at random, sends signal；
Step 2：Receiver is according to Received Signal Strength (RSS) now and optimal RSS ratios
Compared with, if newly value is bigger, 1 is fed back, and optimal RRS values are updated, otherwise feed back 0；
Step 3：Transmitters receives 1 and updates transmission phase, does not otherwise update；
After multiple iteration, the signal that all transmitters are sent forms phase coupling estimation in receiver,
RSS is improved；
Dynamic adjustment σ value, while improving speed, obtains higher gain, m=10, c=0.85, sender：Iteration
Number and m remainders, if remainder ＞ m/2, using σ Gaussian Profile, if remainder ＜ m/2, using the Gaussian Profile of σ/2；
Phase adjustment value is obtained, b_count when feeding back 1 is obtained when statistics uses σ Gaussian Profile respectively and σ/2 are used
Gaussian Profile when s_count when obtaining feedback 1, if b_count ＞ s_count, σ=σ/c, otherwise σ=σ * c.
It is an object of the invention to propose a kind of distributed beams forming method of adaptive variance, by using new calculation
Method, reduces the number of times of iteration, and improves the gain for receiving signal.
Brief description of the drawings
Fig. 1 is the schematic diagram of distributed beams of embodiment of the present invention formation model；
Fig. 2 is the schematic diagram of the embodiment of the present invention；
Fig. 3 is the schematic diagram of the embodiment of the present invention.
Embodiment
Further illustrate technical scheme below in conjunction with the accompanying drawings and by specific embodiment mode.
A kind of distributed beams forming method of adaptive variance, according to transmission signal formulaWith reception signal formula
Wherein n (t) is N (0, σ2) Gaussian noise, γiIt is i-th of transmitters phase initial value, θiCaused by being channel
Phase difference；
Comprise the following steps：
Step one：Each transmitters adjusts the transmission phase of oneself at random, sends signal；
Step 2：Receiver is according to Received Signal Strength (RSS) now and optimal RSS ratios
Compared with, if newly value is bigger, 1 is fed back, and optimal RRS values are updated, otherwise feed back 0；
Step 3：Transmitters receives 1 and updates transmission phase, does not otherwise update；
After multiple iteration, the signal that all transmitters are sent forms phase coupling estimation in receiver,
RSS is improved；
Convergence rate is two mutually exclusive amounts with convergence gain, and for faster convergence rate, convergent effect is past
It is past not ideal.When the transmitters phase values adjusted every time obey N (0, σ2) Gaussian Profile, when σ becomes big, convergence speed
Degree is faster, and final convergence is smaller, and when σ diminishes, convergence rate is slack-off, the better hair of final convergence effect, as shown in Figure 2.
Dynamic adjustment σ value, while improving speed, obtains higher gain, m=10, c=0.85, sender：Iteration
Number and m remainders, if remainder ＞ m/2, using σ Gaussian Profile, if remainder ＜ m/2, using the Gaussian Profile of σ/2；
Phase adjustment value is obtained, b_count when feeding back 1 is obtained when statistics uses σ Gaussian Profile respectively and σ/2 are used
Gaussian Profile when s_count when obtaining feedback 1, if b_count ＞ s_count, σ=σ/C, otherwise σ=σ * C.
The technical principle of the present invention is described above in association with specific embodiment.These descriptions are intended merely to explain the present invention's
Principle, and limiting the scope of the invention can not be construed in any way.Based on explanation herein, the technology of this area
Personnel, which would not require any inventive effort, can associate other embodiments of the present invention, and these modes are fallen within
Within protection scope of the present invention.
Claims (1)
1. a kind of distributed beams forming method of adaptive variance, it is characterised in that：Send signal formulaWith reception signal formula
Wherein n (t) is N (0, σ2) Gaussian noise, γiIt is i-th of transmitters phase initial value, θiCaused by being channel
Phase difference；
Comprise the following steps：
Step one：Each transmitters adjusts the transmission phase of oneself at random, sends signal；
Step 2：Receiver is compared according to Received Signal Strength (RSS) now with optimal RSS, such as
The new value of fruit is bigger, then feeds back 1, and updates optimal RRS values, otherwise feeds back 0；
Step 3：Transmitters receives 1 and updates transmission phase, does not otherwise update；
After multiple iteration, the signal that all transmitters are sent is obtained in receiver formation phase coupling estimations, RSS
It must improve；
Dynamic adjustment σ value, while improving speed, obtains higher gain, m=10, c=0.85, sender：Number of iterations with
M remainders, if remainder ＞ m/2, using σ Gaussian Profile, if remainder ＜ m/2, using the Gaussian Profile of σ/2；
Phase adjustment value is obtained, b_count when feeding back 1 and the height using σ/2 are obtained when statistics uses σ Gaussian Profile respectively
S_count during feedback 1, if b_count ＞ s_count, σ=σ/C, otherwise σ=σ * C are obtained during this distribution.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710256712.3A CN107087278A (en) | 2017-04-19 | 2017-04-19 | A kind of distributed beams forming method of adaptive variance |
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| CN201710256712.3A CN107087278A (en) | 2017-04-19 | 2017-04-19 | A kind of distributed beams forming method of adaptive variance |
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| CN107087278A true CN107087278A (en) | 2017-08-22 |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103776454A (en) * | 2014-01-21 | 2014-05-07 | 西安电子科技大学 | Maximum likelihood phase estimation method based on X-ray pulsar |
| CN104023418A (en) * | 2014-06-27 | 2014-09-03 | 绵阳师范学院 | Rapid phase position alignment method for decentralized wireless sensor network cooperative communication |
| CN104243007A (en) * | 2014-09-17 | 2014-12-24 | 电子科技大学 | 1bit feedback collaboration beam forming method based on direction disturbance |
| US20150016560A1 (en) * | 2006-10-02 | 2015-01-15 | Apple Inc. | MIMO Precoding Enabling Spatial Multiplexing, Power Allocation and Adaptive Modulation and Coding |
-
2017
- 2017-04-19 CN CN201710256712.3A patent/CN107087278A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150016560A1 (en) * | 2006-10-02 | 2015-01-15 | Apple Inc. | MIMO Precoding Enabling Spatial Multiplexing, Power Allocation and Adaptive Modulation and Coding |
| CN103776454A (en) * | 2014-01-21 | 2014-05-07 | 西安电子科技大学 | Maximum likelihood phase estimation method based on X-ray pulsar |
| CN104023418A (en) * | 2014-06-27 | 2014-09-03 | 绵阳师范学院 | Rapid phase position alignment method for decentralized wireless sensor network cooperative communication |
| CN104243007A (en) * | 2014-09-17 | 2014-12-24 | 电子科技大学 | 1bit feedback collaboration beam forming method based on direction disturbance |
Non-Patent Citations (2)
| Title |
|---|
| U.MADHOW,R.MUDUMBAI,D.R.BROWN III AND H.V.POOR,": "Distributed transmit beamforming challenges and recent progress", 《IEEE》 * |
| 丁宁: "无线传感器网络中协作波束赋形及其旁瓣抑制算法", 《中国优秀硕士学位论文全文数据库》 * |
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Application publication date: 20170822 |