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
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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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