Environment sensing using wireless power transmission and a neural network
Various wireless power transmission systems are provided for sensing an environment, e.g., using a neural network. For instance, phase information corresponding to wireless power transmission is input into a neural network framework, and then, distance information representative of a distance from a wireless power transmitter to an object is obtained as output from the neural network framework. Based on the distance information, a power of a subsequent wireless power transmission can be modified, or an environment comprising the object can be mapped.
1. A method, comprising:
transmitting, by a system comprising a processor, first signals in a first operation via a first transmission group of transmitting antennas to a first receiving antenna of an antenna array, the first signals being received at the first receiving antenna to obtain first phase information;
selecting, by the system, a second transmission group of transmitting antennas that is different from the first transmission group;
transmitting, by the system, second signals in a second operation via the second transmission group of transmitting antennas to a second receiving antenna of the antenna array, the second signals being received at the second receiving antenna to obtain second phase information;
inputting, by the system, phase information comprising the first phase information and the second phase information into a neural network framework; and
in response to the inputting of the first phase information and the second phase information into the neural network, obtaining distance information representative of a distance from a wireless power transmitter to an object as output from the neural network framework.
2. The method of claim 1 , wherein the obtaining of the distance information representative of the distance from the wireless power transmitter to the object comprises obtaining the distance information representative of the distance from the wireless power transmitter to the object in a sensed environment.
3. The method of claim 1 , wherein the distance information is first distance information, wherein the distance is a first distance, and wherein the obtaining of the first distance information comprises obtaining second distance information representative of a second distance from the wireless power transmitter to a wireless power receiver.
4. The method of claim 1 , wherein the distance information is first distance information, wherein the distance is a first distance, and wherein the obtaining of the first distance information comprises obtaining reflected distance information representative of a second distance from the wireless power transmitter to the object and back to a wireless receiver that is adjacent the wireless power transmitter.
5. The method of claim 1 , further comprising;
modifying, by the system, power of a subsequent wireless power transmission based on the distance information.
6. The method of claim 1 , further comprising;
mapping, by the system, an environment comprising the object based on the distance information.
7. The method of claim 1 , further comprising;
obtaining, by the system, signal strength information corresponding to the wireless power transmission, and using the signal strength information to verify the distance information.
8. The method of claim 1 , further comprising;
training, by the system, the neural network framework using supervised learning.
9. A system, comprising:
a processor; and
a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
transmitting, via a first operation using a first transmission group of transmitting antennas, first signals to a first receiving antenna of an antenna array to facilitate generation of first phase information;
transmitting, via a second operation using a second transmission group of transmitting antennas, second signals to a second receiving antenna of the antenna array to facilitate generation of second phase information, wherein the second transmission group is different from the first transmission group; and
in response to sending the first phase information and the second phase information to a neural network framework, receiving, from the neural network framework, distance information representative of a distance from a wireless power transmitter to an object.
10. The system of claim 9 , wherein the receiving of the distance information comprises:
obtaining the distance information in a sensed environment.
11. The system of claim 9 , wherein the distance information is first distance information, wherein the distance is a first distance, and wherein obtaining the first distance information comprises:
obtaining second distance information representative of a second distance from the wireless power transmitter to a wireless power receiver.
12. The system of claim 9 , wherein the distance information is first distance information, wherein the distance is a first distance, and wherein obtaining the first distance information comprises:
obtaining reflected distance information representative of a second distance, from the wireless power transmitter to the object, and back to a wireless receiver that is adjacent the wireless power transmitter.
13. The system of claim 9 , wherein the operations further comprise:
modifying power of a subsequent wireless power transmission based on the distance information.
14. The system of claim 9 , wherein the operations further comprise:
mapping an environment comprising the object based on the distance information.
15. The system of claim 9 , wherein the operations further comprise:
obtaining signal strength information corresponding to the wireless power transmission; and
based on the signal strength information, verifying the distance information.
16. The system of claim 9 , wherein the operations further comprise:
training the neural network framework using supervised learning.
17. A non-transitory machine-readable storage medium comprising instructions that, in response to execution, cause a system comprising a processor to perform operations, comprising:
transmitting, to a first receiving antenna of an antenna array, first signals in a first operation via a first transmission group of transmitting antennas to obtain first phase information;
transmitting, to a second receiving antenna of the antenna array, second signals in a second operation via a second transmission group of transmitting antennas to obtain second phase information, wherein the second transmission group is different from the first transmission group;
inputting the first phase information and the second phase information into a neural network framework; and
based on the first phase information and the second phase information that was input to the neural network, obtaining distance information representative of a distance from a wireless power transmitter to an object as output from the neural network framework.
18. The non-transitory machine-readable storage medium of claim 17 , wherein the operations further comprise:
modifying power of a subsequent wireless power transmission based on the distance information.
19. The non-transitory machine-readable storage medium of claim 17 , wherein the operations further comprise:
mapping an environment comprising the object based on the distance information.
20. The non-transitory machine-readable storage medium of claim 17 , wherein the operations further comprise:
obtaining signal strength information corresponding to the wireless power transmission; and
based on the signal strength information, verifying the distance information.