Dynamic Self-Interference Cancellation for Wireless Sensing
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Solution Overview
Problem
Current communication systems face challenges in high-precision target sensing due to self-interference issues, particularly in communication sensing integration scenarios where strong scattering targets can raise the noise floor, impacting the detection of distant or weak targets, and conventional digital domain self-interference cancellation methods are inflexible and reduce sensing range.
Innovation Solution
A method involving a first node that performs initial self-interference cancellation, followed by sensing-related detection to dynamically update self-interference cancellation parameters, allowing for second self-interference cancellation based on updated parameters to effectively manage strong scattering targets and enhance detection of distant or weak targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional digital domain self-interference cancellation is used, then hardware complexity is reduced, but sensing precision deteriorates due to inability to dynamically adjust parameters for strong scattering targets
Solution Approach 1:
The patent implements dynamic self-interference cancellation by allowing the system to adaptively adjust cancellation parameters based on real-time sensing conditions. The node dynamically determines whether to perform self-interference cancellation and adjusts cancellation levels based on detected target characteristics, transforming a static conventional approach into a dynamic adaptive system that maintains sensing precision while managing hardware complexity.
Solution Approach 2:
The patent changes key parameters including the decision to perform self-interference cancellation, the cancellation order (first and second cancellation stages), and cancellation thresholds based on sensing results. By dynamically adjusting these parameters according to target strength and sensing requirements, the system achieves high sensing precision without requiring permanently complex hardware configurations.
2Measurement precision
If self-interference cancellation is performed to detect weak targets, then sensing precision improves, but detection time increases due to multiple cancellation stages
Solution Approach 1:
The patent applies partial self-interference cancellation by performing cancellation only when and where necessary. The system first performs initial sensing, then selectively applies self-interference cancellation only for targets that meet specific criteria (strong scattering targets that would raise the noise floor). This partial approach avoids the time cost of universal multi-stage cancellation while maintaining detection precision for relevant targets.
Solution Approach 2:
The patent implements a feedback mechanism where sensing results from the first stage inform the decision to perform second-stage self-interference cancellation. The system continuously monitors sensing outcomes and dynamically adjusts whether to proceed with additional cancellation stages, creating an adaptive detection process that minimizes time expenditure while ensuring precision when needed.
3Measurement precision
If first self-interference cancellation is performed on all signals, then noise floor is reduced, but weak targets beyond cancellation range are lost
Solution Approach 1:
The patent dynamically determines the extent of self-interference cancellation based on real-time sensing conditions. Rather than uniformly applying first self-interference cancellation to all signals, the system assesses each signal's characteristics and selectively applies cancellation only when targets fall within the cancellation range. This dynamic approach preserves weak targets beyond cancellation range while still reducing noise floors for detectable targets.
Solution Approach 2:
The patent applies self-interference cancellation locally rather than globally - specifically targeting signals and time periods where strong scattering targets are detected. By concentrating cancellation resources on specific local regions in the signal space where they are most beneficial, the system reduces noise floors for relevant targets without inadvertently removing weak targets that fall outside the cancellation parameters.
Data Source
AI summary
The present disclosure provides a method and apparatus for receiving signals in a wireless communication network. The method includes performing a first self-interference cancellation on a time domain baseband signal; performing a sensing-related detection on the time domain baseband signal after the first self-interference cancellation; determining whether to perform a second self-interference cancellation based on a sensing-related detection result; if it is determined to perform the second self-interference cancellation based on the sensing-related detection result, performing at least one second self-interference cancellation on the time domain baseband signal.