Radar Tx Power Patterning for Ghost Target Discrimination
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Solution Overview
Problem
Modern vehicles equipped with range sensing technologies are susceptible to malicious attacks that cause false detections of 'ghost' targets, which can lead to incorrect identification of objects, compromising safety features like automated braking and collision avoidance.
Innovation Solution
A system utilizing a SNR consistency monitor, which includes processing circuitry and memory, generates a Tx power pattern to distinguish between actual and ghost targets by varying the transmit power of radar signals and analyzing the signal-to-noise ratio over range, allowing the system to differentiate between legitimate and malicious detections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radar sensing is used for range detection, then automated braking and collision avoidance capabilities are enabled, but the system becomes susceptible to malicious attacks causing false ghost target detections
Solution Approach 1:
The system varies the transmit power of radar signals across multiple pulses and monitors how the signal-to-noise ratio changes with range. By analyzing the relationship between transmit power and received signal strength at different ranges, the system can distinguish genuine targets from ghost targets, as ghost targets do not follow the expected power-range relationship
Solution Approach 2:
The intrusion detection system continuously monitors radar returns and compares observed signal characteristics against expected patterns. When deviations are detected that indicate potential ghost targets, the system can alert operators or adjust radar parameters to mitigate the threat
2Reliability
If the radar system monitors SNR consistency to detect ghost targets, then detection reliability improves, but system complexity increases
Solution Approach 1:
The system extracts only the essential feature needed for ghost target detection - the signal-to-noise ratio relationship with range and transmit power. By focusing on this single critical parameter rather than analyzing all radar signal characteristics, the system achieves ghost target detection with minimal additional processing complexity
Solution Approach 2:
The detection process is segmented into distinct stages: generating varied transmit power patterns, collecting radar returns at different power levels, calculating SNR for each range bin, and comparing observed SNR patterns against expected patterns. This segmentation allows complex detection to be performed through a series of simple, manageable steps
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
Effectively identifies and tags ghost targets, enhancing the reliability of range sensing systems by differentiating between true and false object detections, thereby improving safety features in vehicles.
Implementation Method 1
A system utilizing a SNR consistency monitor, which includes processing circuitry and memory, generates a Tx power pattern to distinguish between actual and ghost targets by varying the transmit power of radar signals and analyzing the signal-to-noise ratio over range
Data Source
AI summary
Systems, apparatuses, and methods to response to distinguish a ghost target from an actual target based on radar signals is provided. In particular, the disclosure provides an intrusion detection system adapted to receive radar signals and distinguish a potential ghost target from a legitimate target based on a signal to noise ratio of the radar signals and a range to the ghost target and the legitimate target.