Wireless Sensing Measurement Verification for False Target Detection
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Solution Overview
Problem
Wireless communications systems face issues with the incorrect detection of target objects due to obstacles within a sensing area, leading to erroneous sensing measurements, which can be exploited by nefarious actors for replay attacks.
Innovation Solution
Implement a sensing function that verifies sensing measurement results by checking for expected parameters such as movement and location, and adjusts sensing operations to obtain accurate measurements by engaging additional sensing entities if discrepancies are found.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensing measurements are performed in a wireless communications system, then object detection capability is improved, but incorrect detection of target objects occurs due to obstacles within sensing area
Solution Approach 1:
The sensing function receives sensing measurement results from sensing entities and performs verification by comparing expected parameters (movement, location) with actual measurement parameters. This feedback loop identifies mismatches and triggers adjustments to sensing operations, resolving the contradiction between measurement capability and detection accuracy by continuously verifying and correcting measurements based on expected versus actual parameter comparisons
Solution Approach 2:
The verification process segments the sensing measurement validation into distinct parameter checks (movement parameters, location parameters, size parameters). Each parameter type is verified independently against expected values, allowing the system to identify specific mismatched parameters and adjust sensing operations针对性地 (targetedly) for each parameter category, thereby improving overall measurement precision while maintaining reliability
2Measurement precision
If sensing operations are adjusted to obtain accurate measurements by engaging additional sensing entities, then measurement accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary verification of sensing measurement results by checking expected parameters (movement, location, size) against actual measurements before finalizing detection outcomes. This preliminary action identifies potential errors early in the process, allowing the system to adjust sensing operations or engage additional sensing entities only when necessary, rather than always using complex multi-entity coordination, thus improving accuracy while controlling system complexity
Data Source
AI summary
Various aspects of the present disclosure relate to sensing operations and associated sensing procedures that avoid or mitigate issues associated with detections of target objects, such as erroneous detections of a targeted object due to obstacles within a target sensing area. In some cases, a sensing function may be configured to perform checks or verifications on received sensing measurement results and adjust running sensing operations based on the performed checks or verifications. For example, the sensing function may determine whether a sensing measurement result is an expected measurement result (e.g., includes parameters expected within various measurements), and perform actions based on whether the sensing measurement results matches the expected measurement results.