Sensing Receiver Interference Cancellation for JCAS 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, particularly affecting the accuracy and resolution of sensing operations by altering the characteristics of reflected sensing signals.
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 at the sensing receiver, then the accuracy and resolution of sensing operations are enhanced, but the device complexity increases
Solution Approach 1:
The system performs preliminary actions by estimating interference signals before they fully degrade the sensing performance. The interference estimation unit anticipates and prepares cancellation signals based on predicted interference patterns, allowing the sensing receiver to proactively compensate for upcoming interference rather than reacting after degradation occurs.
Solution Approach 2:
The interference cancellation unit employs feedback mechanisms where the estimated interference signals are continuously monitored and adjusted. The system uses feedback from the sensing receiver's observations to refine the interference estimates and improve the cancellation accuracy, creating a closed-loop system that adapts to changing interference conditions.
2Reliability
If advanced signal processing algorithms are used to mitigate interference, then the detection performance is improved, but the computational resources required increase
Solution Approach 1:
The system applies partial interference cancellation by focusing computational resources on the most significant interference components rather than attempting to cancel all interference perfectly. The interference estimation unit identifies and addresses the dominant interference signals, providing sufficient cancellation to improve detection performance while avoiding the excessive computational cost of attempting complete interference removal.
3Measurement precision
If interference cancellation is performed on reflected sensing signals, then false alarm rates are reduced, but the processing time increases
Solution Approach 1:
The interference cancellation process is segmented into distinct functional units: interference estimation, interference signal generation, and interference cancellation. This segmentation allows each component to be optimized independently and enables parallel processing of interference estimation and signal cancellation operations, reducing overall processing time while maintaining detection accuracy.
Data Source
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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.