Communication Processor Interference Whitening With Anomaly Detection
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately determining interference levels, leading to performance deterioration when interference is lower than noise levels, which affects the effectiveness of interference whitening operations.
Innovation Solution
A communication processor with an anomaly detection module that performs interference detection based on channel state information and interference estimation data, using pre-processing to generate sample data, calculating Z-scores, and classifying data through a classification training engine to determine whether to perform interference whitening operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If interference whitening operation is performed when interference level is lower than noise level, then interference suppression is achieved, but signal reception performance deteriorates
Solution Approach 1:
The system dynamically changes the operational parameters of interference whitening based on detected interference levels. When interference exceeds noise levels, the interference whitening operation is activated; when interference is below noise levels, it is deactivated. This parameter change approach ensures optimal signal reception performance while providing interference suppression when actually needed.
Solution Approach 2:
The system implements a feedback mechanism where the anomaly detection module continuously monitors the receive signal to determine actual interference levels. Based on this feedback information, the controller adaptively controls the signal processing circuitry to enable or disable interference whitening operations, ensuring that the system responds appropriately to actual channel conditions rather than operating in a fixed mode.
2Object-affected harmful factors
If interference whitening operation is always performed, then interference suppression is maintained, but system performance deteriorates when no actual interference exists
Solution Approach 1:
The system transitions from a static interference whitening approach to a dynamic one. The anomaly detection module continuously assesses channel conditions, and the controller dynamically adjusts whether interference whitening is applied. This dynamic operation ensures interference suppression is maintained only when actually needed, preventing performance deterioration during interference-free periods while maintaining high system productivity.
3Device complexity
If interference detection is not performed, then processing complexity is reduced, but accurate determination of interference levels cannot be achieved
Solution Approach 1:
The system performs preliminary interference detection and assessment before applying interference whitening operations. The anomaly detection module预先 analyzes the receive signal to determine whether interference is present and at what level. This preliminary action enables accurate interference level determination, which then guides the appropriate processing intensity and type applied by the signal processing circuitry.
Data Source
AI summary
Provided are a communication processor and an operating method of the communication processor. The communication processor includes: a signal processing circuitry configured to perform an interference whitening operation for a receive signal, and perform a symbol detection operation and a channel decoding operation for the receive signal to output bit data, a controller configured to control the signal processing circuitry and receive channel state information for the receive signal or interference estimation data input from the outside, and an anomaly detection module configured to perform an interference detection operation based on the receive signal to determine whether to perform the interference whitening operation.