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Multi-antenna microwave wireless charging beam forming algorithm

A beamforming and microwave wireless technology, applied in radio transmission systems, diversity/multi-antenna systems, electrical components, etc., can solve problems such as low calculation and energy transmission efficiency, long test time, and long training time

Active Publication Date: 2017-12-19
SHENZHEN INST OF ADVANCED TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these assumptions do not hold in practical arrangements
In addition, in the algorithm mentioned in the above literature, the transmitter needs to send a certain amount of test microwave energy to estimate the channel information, the test time is long and energy is wasted, so the calculation and energy transmission efficiency of the algorithm are very low
Literature [4] proposed a stochastic beamforming algorithm using limited information feedback, which can be deployed in practical systems, but there are problems of long training time and low efficiency

Method used

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  • Multi-antenna microwave wireless charging beam forming algorithm
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  • Multi-antenna microwave wireless charging beam forming algorithm

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Embodiment 1

[0039] figure 1It is the basic structure diagram of the system. The system consists of two parts, including a multi-antenna microwave transmitting end 101 and an energy receiving end 102 . The multi-antenna microwave transmitting end 101 is responsible for sending microwaves to the receiving end 102 in a specific frequency band through multiple antennas, and at the same time monitors the feedback information sent by the receiving end 102 on an additional channel. Through the feedback information, the transmitting end 101 calculates and adjusts the beamforming algorithm until an ideal state is achieved. When the receiving end 102 receives energy, it calculates the intensity of the energy, encapsulates it into an information packet, and feeds it back to 101 through an additional channel. The microwave transmission and information monitoring of the multi-antenna microwave transmitting end 101 and the information feedback process of the receiving end 102 are realized according t...

Embodiment 2

[0054] A multi-antenna microwave wireless charging beamforming method of the present invention comprises the following steps:

[0055] S(1) online training protocol, including training period and training time slot;

[0056] S(2) Sampling based on random sampling algorithm;

[0057] S(3) resampling based on feedback information;

[0058] As a preference, after the kth training period, all beamforming weight sample vectors and corresponding feedback values ​​of this period are stored in the storage unit (302), sorted based on the size of the feedback value, and selected from the weight samples M samples with the largest feedback value form a new sample set Based on this sample, a new sample set is regenerated. The generation method is: in each vector, first randomly generate N-1 elements:

[0059]

[0060] And then according to the constraints Computes the last element value, and the regenerated weight samples will be used for the next training epoch.

[0061] S(4) Co...

Embodiment 3

[0063] A multi-antenna microwave wireless charging beamforming method, comprising the following steps:

[0064] S(1) online training protocol, including training period and training time slot;

[0065] S(2) Sampling based on random sampling algorithm;

[0066] S(3) resampling based on feedback information;

[0067] S(4) Convergence control, select the optimal value, and obtain the optimal beamforming weight vector.

[0068] As a preference, the present invention adopts a convergence rate control method when randomly generating samples, and the specific method is: after each training period 320, update βk. First set a constant Δβ, after resampling 322, enter the convergence control 323, and obtain the updated convergence factor β k+1 = β k -Δβ. Furthermore, enter the convergence judgment 324, if β k+1 If it is greater than or equal to a threshold constant ∈, the algorithm does not converge, and re-enters the next training cycle 320 . If β k+1 If it is less than the thre...

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Abstract

The invention relates to a multi-antenna microwave wireless charging beam forming method. The method comprises the following steps: S(1) providing an online training protocol comprising the training cycle and the training time slot; S(2) sampling based on a random sampling algorithm; S(3) resampling based on feedback information; and S(4) performing convergence control to select an optimal value, thereby obtaining an optimal beam forming weight vector. The effective beam forming technology is designed by a multi-antenna system with a wireless microwave energy sending function so as to improve the long-distance wireless charging efficiency. For the internet of things equipment with the energy collecting function, only the limited information feedback (such as RSS value and the like) can be transmitted, and the traditional beam forming technology cannot be deployed on this basis. Therefore, the beam forming technology takes important consideration on how to perform the beam forming estimation in a unidirectional way on a transmitting end, and an effective and controllable method is proposed to greatly shorten the estimation time.

Description

technical field [0001] The invention relates to the field of wireless charging, in particular to a beamforming algorithm for multi-antenna microwave wireless charging. Background technique [0002] In recent years, the continuous development of wireless charging technology, especially the breakthrough of long-distance low-power microwave charging technology, has freed IoT devices from the limitations of batteries or charging cables. As a long-distance energy transmission technology, microwave charging can provide a more convenient, ubiquitous and all-time continuous power supply for commercial mobile terminals because of its low cost and small size of the energy harvesting antenna. The continuous breakthrough of microwave charging technology in recent years will enable future IoT devices, especially low-power devices, to break through the energy bottleneck. On this basis, the research of wireless energy information mixed transmission system is gradually rising, which will p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/06H02J50/20
CPCH04B7/0617H02J50/20
Inventor 赵毓斌须成忠王晓东
Owner SHENZHEN INST OF ADVANCED TECH