FULLY ADAPTIVE RADAR FOR UBIQUITIOUS HUMAN SENSING APPLICATIONS

Organization Name

Inventor(s)

Thomas Reinhold Stadelmayer of Wenzenbach (DE)

FULLY ADAPTIVE RADAR FOR UBIQUITIOUS HUMAN SENSING APPLICATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240248170 titled 'FULLY ADAPTIVE RADAR FOR UBIQUITIOUS HUMAN SENSING APPLICATIONS

The abstract describes a method for operating a radar system by analyzing range-angle and range-doppler images to determine tasks for the system and adjust parameters accordingly.

Receiving range-angle and range-doppler images from radar sensor data
Choosing a task for the radar system based on the images
Modifying radar system parameters based on the chosen task

Potential Applications: - Military defense systems - Air traffic control - Weather monitoring - Autonomous vehicles - Surveillance systems

Problems Solved: - Enhances radar system efficiency - Improves task prioritization - Increases adaptability to changing conditions

Benefits: - Optimal radar system performance - Real-time task assignment - Enhanced situational awareness

Commercial Applications: Title: "Advanced Radar System Optimization for Various Industries" This technology can be utilized in defense, aviation, meteorology, automotive, and security industries to improve radar system functionality and performance.

Questions about Radar System Optimization: 1. How does this method improve radar system efficiency?

  - This method enhances radar system efficiency by analyzing data to determine optimal tasks and adjust parameters accordingly.

2. What are the potential applications of this technology in different industries?

  - This technology can be applied in military defense, air traffic control, weather monitoring, autonomous vehicles, and surveillance systems for improved performance and situational awareness.

Original Abstract Submitted

a method of operating a radar system includes: receiving a range-angle image (rai) and a range-doppler image (rdi) that are based on raw data from a radar sensor of the radar system; choosing, from a list of potential tasks, a task for the radar system to perform based at least on the rai and the rdi; and modifying one or more parameters of the radar system in accordance with the chosen task for the radar system.