Smart Radar Targets for Object Classification and RCS Communication
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Solution Overview
Problem
Current radar systems in autonomous driving vehicles are unable to effectively classify objects and communicate information using smart targets, limiting their ability to optimize navigation and ensure safety by avoiding collisions.
Innovation Solution
A radar system that includes programmable target elements configured to produce specific radar cross-section (RCS) signatures, allowing the radar unit to generate communication messages based on received signals, which are then used to control the autonomous vehicle's path and improve safety by enabling optimal route planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar systems transmit electromagnetic signals to detect objects, then object detection capability is improved, but object classification and information communication capabilities remain insufficient
Solution Approach 1:
The patent introduces smart radar targets as intermediaries between the radar system and objects. These targets contain programmable target elements that modulate reflected electromagnetic signals to encode object classification information and communication data, enabling the radar system to extract meaningful information beyond basic detection
Solution Approach 2:
The patent changes the radar cross-section (RCS) signature parameter of targets by using programmable target elements that can dynamically adjust their reflection characteristics. This allows different RCS patterns to represent different object classes and communication messages, transforming the radar system into an information-rich detection tool
2Reliability
If radar systems are used for basic object detection, then detection function is achieved, but navigation optimization and collision avoidance through active communication with targets is limited
Solution Approach 1:
The patent implements a feedback mechanism where smart radar targets actively respond to incident electromagnetic signals by modulating their reflection based on pre-programmed patterns. The radar system receives these modulated signals, decodes the information, and uses it to optimize navigation paths and implement collision avoidance strategies in real-time
Solution Approach 2:
The patent makes the radar system multi-functional by enabling it to perform not only basic detection but also object classification, information reception, navigation optimization, and collision avoidance through communication with smart targets, consolidating multiple functions into a single integrated system
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enhances safety by enabling the autonomous vehicle to generate optimal paths and avoid collisions through accurate object classification and communication, leveraging programmable target elements to manipulate electromagnetic signals and produce specific RCS signatures for effective communication.
Implementation Method 1
A radar consists of a transmitter, receiver, mixed-signal circuits, and a signal processing module. By transmitting an electromagnetic signal toward an object and receiving the reflected signal back, radar has been utilized for measuring the distance and speed of objects within an environment.
Implementation Method 2
The target elements manipulate the second EM signal to produce a specific radar cross section (RCS) when received by the radar unit.
Data Source
AI summary
A radar system for an autonomous driving vehicle (ADV) is disclosed. The system includes a target that includes a number of target elements disposed in a predetermined configuration on the target to collectively represent a radar readable code. The system further includes a radar unit included in the ADV and configured to: transmit a first electromagnetic (EM) signal to the target within a driving environment, receive a second EM signal reflected by the target, compute a radar cross section (RCS) signature based on the received second EM signal, generate a corresponding communication message based on the computed RCS signature, and transmit radar data that includes the communication message, where the ADV is controlled based on the communication message.