Sensitivity Time Control for Clutter-Resistant RF Sensing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems, particularly in 5G networks, face challenges in accurately determining the location of mobile devices and improving radio frequency sensing accuracy due to clutter interference, which affects target object detection and velocity determination.
Innovation Solution
Implementing sensitivity time control (STC) profiles to dynamically adjust gain over time in RF sensing receivers, using STC configuration information provided by network entities to enhance RF sensing accuracy and mitigate clutter interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RF sensing is used to determine location and characteristics of target objects, then positioning and sensing capabilities are enhanced, but clutter interference degrades measurement accuracy and target detection
Solution Approach 1:
The patent applies dynamics by implementing sensitivity time control (STC) that dynamically adjusts the gain of the RF receiver over time. The gain is increased progressively during the reception window, allowing the receiver to adapt to varying signal strengths and mitigate clutter interference. This dynamic gain adjustment enables accurate measurement of both strong and weak sensing signals in the presence of clutter.
Solution Approach 2:
The patent changes the gain parameter of the RF receiver as a function of time. By modifying the gain parameter dynamically during signal reception, the system optimizes its sensitivity to detect target objects while suppressing clutter. The gain transition from initial to final value is controlled based on timing information relative to the sensing signal transmission.
2Reliability
If the gain is increased to improve sensitivity for detecting weak sensing signals, then detection capability is enhanced, but strong clutter signals cause saturation and distortion
Solution Approach 1:
The patent applies preliminary action by pre-configuring the gain adjustment schedule before receiving the sensing signal. The RF receiver is prepared with a predetermined gain transition profile that will be executed during signal reception. This preliminary setup ensures that the gain is appropriately adjusted at the right times to prevent saturation from strong clutter signals while maintaining sensitivity for weak target signals.
Solution Approach 2:
The system dynamically controls the gain parameter over time, transitioning from a lower initial gain to a higher final gain during the reception window. This dynamic adjustment prevents signal saturation from strong clutter signals in the early portion of the reception window while enabling detection of weaker sensing signals in the later portion.
3Adaptability or versatility
If a fixed gain is used in the RF receiver, then the device complexity is reduced, but the receiver cannot adapt to varying signal conditions and clutter levels
Solution Approach 1:
The patent implements periodic action by using a time-based gain adjustment schedule that follows a predetermined pattern during signal reception. The gain transitions periodically from an initial value to a final value based on the timing of the sensing signal transmission and reception window. This periodic gain modulation enables adaptation to varying signal conditions without requiring complex real-time analysis.
Data Source
AI summary
A sensing method includes: implementing, at a UE, a sensitivity time control profile to change a gain applied over time to a sensing signal received by the UE; and measuring the sensing signal to obtain a sensing signal measurement; wherein the method comprises at least one of: obtaining the sensitivity time control profile based on a sensitivity time control message received by the UE from a network entity; or transmitting a sensing report from the UE to the network entity, the sensing report indicating a measurement of the sensing signal and that sensitivity time control was implemented to obtain the sensing signal measurement.


