JCAS Sensing Receiver Interference Cancellation for Reflected Signals
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Solution Overview
Problem
Interference from communication signals and external sources degrades the performance of Joint Communications and Sensing (JCAS) systems by altering the characteristics of reflected sensing signals, leading to reduced accuracy, resolution, and increased false alarm rates in object detection and characterization.
Innovation Solution
Implement digital interference cancellation methods at the sensing receiver, utilizing specialized sensing waveforms and advanced signal processing algorithms to mitigate interference while preserving the information in reflected sensing signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If digital interference cancellation methods are implemented, then sensing accuracy and resolution are improved, but device complexity increases
Solution Approach 1:
The interference cancellation process is divided into distinct stages: interference signal estimation, interference signal generation, and interference subtraction from received sensing signals. This segmentation allows each stage to be optimized independently and facilitates implementation in existing communication systems without complete redesign.
Solution Approach 2:
The patent introduces an intermediary interference signal model that acts as a mediator between the received composite signal and the target sensing signal. By estimating and generating this intermediate interference component, the system can subtract it to recover the original sensing information, effectively separating useful signal from harmful interference.
2Measurement precision
If digital interference cancellation methods are implemented, then sensing resolution is improved, but processing requirements increase
Solution Approach 1:
The system performs preliminary interference signal estimation and characterization before the actual sensing signal processing. By pre-estimating the interference components based on available pilot signals or known interference patterns, the subsequent sensing signal processing requires less computational effort to achieve high resolution.
Solution Approach 2:
The patent employs parameter changes in the interference signal model, adjusting estimation parameters and processing parameters based on the specific interference scenario and sensing requirements. This allows optimization of the balance between processing complexity and resolution achievement for different operating conditions.
3Reliability
If interference cancellation is performed, then false alarm rates are reduced, but system complexity increases
Solution Approach 1:
The interference cancellation system uses self-service mechanisms where the estimated interference signal is generated and applied automatically within the same receiver chain. The system serves itself by using its own received signals to create the interference model, eliminating the need for external interference measurement equipment or additional complex coordination mechanisms.
Data Source
AI summary
An apparatus of a communication device, the apparatus may include: an interface configured to transmit a sensing signal and receive a reflected sensing signal; and a processor configured to: determine a sensing signal configuration of a further communication device;estimate a sensing interference of the further communication device based on the sensing signal configuration; and perform an interference cancellation on the reflected sensing signal using the sensing interference.