20240027608. RADAR-BASED TARGET TRACKER simplified abstract (Infineon Technologies Americas Corp.)
Contents
RADAR-BASED TARGET TRACKER
Organization Name
Infineon Technologies Americas Corp.
Inventor(s)
Saiveena Kesaraju of Mountain View CA (US)
Jagjit Singh Bal of Fremont CA (US)
RADAR-BASED TARGET TRACKER - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240027608 titled 'RADAR-BASED TARGET TRACKER
Simplified Explanation
The patent application describes a method for processing radar data to detect and track moving targets. Here is a simplified explanation of the abstract:
- Receiving a range-doppler image (RDI) based on raw data from a radar sensor.
- Performing moving target indication (MTI) filtering on the RDI to generate a first filtered radar image.
- Performing constant false alarm rate (CFAR) detection on the first filtered radar image to generate a second filtered radar image.
- Performing minimum variance distortionless response (MVDR) beamforming on the second filtered radar image to generate a range-angle image (RAI).
- Performing CFAR detection on the RAI to generate a third filtered radar image.
- Generating a point set based on the third filtered radar image.
- Clustering targets of the point set.
- Tracking at least one of the clustered targets using a Kalman filter.
Potential applications of this technology:
- Radar-based surveillance systems for detecting and tracking moving targets, such as vehicles or aircraft.
- Autonomous vehicles and drones that rely on radar sensors for obstacle detection and tracking.
- Military applications for target detection and tracking in various environments.
Problems solved by this technology:
- Accurate detection and tracking of moving targets in radar data, even in the presence of noise and clutter.
- Efficient processing of radar data to reduce false alarms and improve target identification.
- Robust tracking of targets over time, even in complex scenarios.
Benefits of this technology:
- Improved situational awareness and safety in applications such as autonomous driving and surveillance.
- Enhanced target detection and tracking capabilities in radar systems.
- More reliable and accurate tracking of moving targets, leading to better decision-making and response.
Original Abstract Submitted
in an embodiment, a method includes: receiving a range-doppler image (rdi) based on raw data from a radar sensor; performing moving target indication (mti) filtering on the rdi to generate a first filtered radar image; performing constant false alarm rate (cfar) detection on the first filtered radar image to generate a second filtered radar image; performing minimum variance distortionless response (mvdr) beamforming on the second filtered radar image to generate a range-angle image (rai); performing cfar detection on the rai to generate a third filtered radar image; generating a point set based on the third filtered radar image; clustering targets of the point set; and tracking at least one of the clustered targets using a kalman filter.
