Motor Vehicle Artificial Intelligence Expert System Dangerous Driving Warning And Control System And Method
US-2022063497-A1 · Mar 3, 2022 · US
US11811439B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11811439-B2 |
| Application number | US-202217751288-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 23, 2022 |
| Priority date | Jun 22, 2018 |
| Publication date | Nov 7, 2023 |
| Grant date | Nov 7, 2023 |
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A mobile communication device that is configured to cancel interference within received millimeter wave band signals. The device includes a receiver circuit that is configured to receive a millimeter wave band signal, adjust gain provided to the millimeter wave band signal at a first amplifier, cancel interference in millimeter wave band signal after gain is adjusted by the first amplifier, and adjust gain provided to the millimeter wave band signal at a second amplifier after interference is cancelled.
Opening claim text (preview).
What is claimed: 1. A mobile communication device comprising: a beamforming antenna configured to transmit and receive millimeter wave band signals; and a beamforming circuit coupled to the beamforming antenna and configured to receive, from a remote sensor, beam pathway data regarding potential obstructions affecting wireless communications of the mobile communication device, map a beam pathway environment based on the received beam pathway data, form a beam based on the mapped beam pathway environment, and provide the formed beam to the beamforming antenna for wireless communications of the mobile communication device. 2. The mobile communication device of claim 1 , wherein the beam is a first beam, wherein the beamforming circuit is further configured to: receive propagated beam data related to the first beam; update the beam pathway environment based on the received propagated beam data; form a second beam based on the updated beam pathway environment; and provide the second beam to the beamforming antenna. 3. The mobile communication device of claim 2 , wherein the beamforming circuit is further configured to: before receiving the propagated beam data, predict propagated beam data based on the mapped beam pathway environment according to one or more modeling parameters; and after receiving the propagated beam data, modify the one or more modeling parameters according to the received propagated beam data. 4. The mobile communication device of claim 1 , wherein to map the beam pathway environment, the beamforming circuit is configured to: trace a pathway of all beams of the mobile communication device to predict propagation characteristics of all beams at a given point in time. 5. The mobile communication device of claim 4 , wherein the beamforming circuit is further configured to: track obstructions in a physical channel of the mobile communication device; extrapolate a beam trajectory based on the tracked obstructions; and predict the propagation characteristics from the extrapolated beam trajectory. 6. The mobile communication device of claim 4 , wherein to trace the pathway, the beamforming circuit is configured to: trace rays along a physically realizable path until they intercept an object. 7. The mobile communication device of claim 6 , wherein properties of the rays include one or more of: polarization state; phase; position; or direction. 8. The mobile communication device of claim 1 , wherein the beamforming circuit is configured to form the beam further based on: least probability of outage during transmission combined with greatest increase of link robustness. 9. A beamforming circuit for generating a beam for wireless communication of a mobile device, the beamforming circuit comprising: a blockage prediction and channel modeling engine configured to obtain beam pathway data regarding obstruction and scene information affecting wireless communications of the mobile communication device, and map a beam pathway environment based on the received beam pathway data; and a beamforming and self-learning engine configured to receive, from the blockage prediction and channel modeling engine, input data based on the mapped beam pathway environment; and determine and provide, based on the received input data, an optimum beam for wireless communication of the mobile communication device. 10. The beamforming circuit of claim 9 , wherein the beamforming and self-learning engine is further configured to: receive in-band link quality metrics from a beamforming antenna; and determine and provide the optimum beam further based on the received in-band link quality metrics. 11. The beamforming circuit of claim 9 , wherein the blockage prediction and channel modeling engine is configured to: receive signals from out of band sensors; and obtain the beam pathway data from data and information contained in the received signals. 12. The beamforming circuit of claim 11 , wherein the out of band sensors include one or more of: one or more camera systems; one more light detection and ranging systems; one more sound navigation and ranging systems; or one more radio detection and ranging systems. 13. The beamforming circuit of claim 9 , wherein the blockage prediction and channel modeling engine is configured to: determine obstruction tracking and blockage prediction based on the received beam pathway data; and map the beam pathway environment based on the obstruction tracking and blockage prediction. 14. The beamforming circuit of claim 9 , wherein the input data includes a propagation model of potential pathways of different beams that are formed. 15. The beamforming circuit of claim 14 , wherein the beamforming and self-learning engine is configured to: select a beam corresponding to one of the potential pathways as the optimum beam. 16. A method for generating a beam for wireless communication, the method comprising: obtaining beam pathway data regarding obstruction and scene information affecting wireless communications; mapping a beam pathway environment based on the received beam pathway data; and determining and providing, based on the mapped beam pathway environment, an optimum beam for the wireless communications. 17. The method of claim 16 , further comprising: receiving in-band link quality metrics from a beamforming antenna; and determining and providing the optimum beam further based on the received in-band link quality metrics. 18. The method of claim 16 , further comprising: receiving signals from out of band sensors; and obtaining the beam pathway data from data and information contained in the received signals. 19. The method of claim 16 , further comprising: determining obstruction tracking and blockage prediction based on the received beam pathway data; and mapping the beam pathway environment based on the obstruction tracking and blockage prediction. 20. The method of claim 16 , wherein the beam pathway environment includes a propagation model of potential pathways of different beams that are formed, the method further comprising: selecting a beam corresponding to one of the potential pathways as the optimum beam.
for beam forming · CPC title
assessing signal quality or detecting noise/interference for the received signal · CPC title
using adaptive balancing or compensation means (adaptive filter circuits and algorithms H03H) · CPC title
with means for reducing leakage of transmitter signal into the receiver · CPC title
of land vehicles · CPC title
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