Sensor fusion scanning system and method for wireless network planning

1. A sensor fusion scanning system, comprising:

a sensor scanning mobile platform comprising a beam steering radar sensor and one or more auxiliary sensors, the sensor scanning mobile platform configured to scan a wireless environment;

a reflectivity engine configured to generate a reflectivity representation of the wireless environment based on radar data from the beam steering radar sensor;

a sensor fusion processing engine configured to generate a Three-Dimensional (“3D”) representation of the wireless environment based on the radar data and sensor data from the one or more auxiliary sensors; and

a reflectarray planning engine configured to determine locations for placement of a plurality of reflectarrays in the wireless environment based on the reflectivity representation and the 3D representation, the reflectarrays incorporate analog beam steering and digital signal processing to generate directed beams.

2. The system of claim 1 , wherein the beam steering radar sensor comprises a transmit antenna and a receive antenna each having a metastructure capable of radiating radio frequency (RF) signals in millimeter wave frequencies.

3. The system of claim 1 , wherein the plurality of reflectarrays comprise a focused metastructure based reflectarray, a portable stackable reflectarray, or a stackable structure having multiple reflectarray layers.

4. The system of claim 1 , wherein the one or more auxiliary sensors comprise a lidar and wherein the sensor data comprise individual point positions of surfaces and objects in the wireless environment measured by the lidar.

5. The system of claim 1 , wherein the wireless environment comprises Line-of-Sight (“LOS”) areas and Non-Line-of-Sight (“NLOS”) areas.

6. The system of claim 1 , wherein the reflectivity engine is further configured to generate the reflectivity representation of the wireless environment by computing reflectivity of surfaces and objects in the wireless environment based on reflected radio frequency (RF) signals in the radar data generated by the beam steering radar sensor.

7. The system of claim 1 , wherein the sensor fusion processing engine comprises one or more neural networks configured to detect and identify one or more reflective objects in the wireless environment.

8. The system of claim 1 , wherein the sensor scanning mobile platform is deployed autonomously with autopilot instructions to iteratively scan the wireless environment and provide continuous real-time information on distances to reflective objects in the wireless environment.

9. The system of claim 1 , wherein the mobile planning platform is configured to autonomously scan the wireless environment to provide continuous real-time information on distances to reflective objects in the wireless environment.

10. The system of claim 1 , further comprising:

at least one phase shifter for analog beam steering;

an analog controller to generate an analog control signal to apply to a phase shifter; and

a DSP engine to convert analog signals to digital signals to determine angles of arrival of received signals.

11. A system for wireless network planning, comprising:

a mobile scanning platform configured to scan a wireless environment, the platform comprising a beam steering radar, a lidar, and a camera;

a reflectivity engine configured to generate a reflectivity representation of the wireless environment based on radar data from the beam steering radar;

a processing engine configured to generate a Three-Dimensional (“3D”) representation of the wireless environment based on the radar data and sensor data from the lidar and the camera; and

a planning engine configured to determine locations for placement of a plurality of reflectarrays in the wireless environment based on the reflectivity representation and the 3D representation, wherein the reflectarrays incorporate analog beam steering and digital signal processing to generate directed beams.

12. The system of claim 11 , wherein the planning engine is further configured to determine locations for the plurality of reflectarrays in the wireless environment based on the design of one or more of the reflectarrays.

13. The system of claim 11 , wherein the beam steering radar comprises a transmit antenna and a receive antenna each having a metastructure capable of radiating radio frequency (RF) signals in millimeter wave frequencies.

14. The system of claim 11 , wherein the plurality of reflectarrays comprise a focused metastructure based reflectarray, a portable stackable reflectarray, or a stackable structure having multiple reflectarray layers.

15. The system of claim 11 , wherein the reflectivity engine is further configured to generate the reflectivity representation of the wireless environment by computing reflectivity of surfaces and objects in the wireless environment based on reflected radio frequency (RF) signals in the radar data.

16. The system of claim 11 , wherein the processing engine comprises one or more neural networks configured to detect and identify one or more reflective objects in the wireless environment.

17. A method for wireless network planning, comprising:

acquiring, via a beam steering radar sensor, radar data of a wireless environment;

acquiring, via one or more auxiliary sensors, sensor data of the wireless environment;

generating a 3D representation of the wireless environment based on the sensor data and the radar data;

generating a reflectivity representation of the wireless environment based on the radar data;

merging the reflectivity representation and the 3D representation of the wireless environment;

determining one or more reflectarray designs for a plurality of reflectarrays based on the merged reflectivity and 3D representation of the wireless environment, the reflectarrays incorporate analog beam steering and digital signal processing to generate directed beams; and

determining locations for placement of the plurality of reflectarrays in the wireless environment based on the one or more reflectarray designs.

18. The method of claim 17 , further comprising:

prior to generating the 3D representation and the reflectivity representation, detecting and identifying reflective objects based on the radar data and the sensor data.

19. The method of claim 18 , wherein the detecting and the identifying of the reflective objects are performed using one or more neural networks.

20. The method of claim 17 , wherein the beam steering radar sensor and the one or more auxiliary sensors are mounted on a scanning mobile platform that is configured to autonomously scan the wireless environment and provide continuous real-time information on distances to reflective objects in the wireless environment.