Communication Processor With Adaptive Interference Whitening
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Solution Overview
Problem
Existing communication systems face performance deterioration due to interference whitening operations when interference levels are lower than noise levels, making it difficult to determine actual interference occurrence.
Innovation Solution
A communication processor that performs interference detection based on channel state information and interference estimation data, generates sample data, and uses a classification training engine to determine whether to perform interference whitening, thereby improving system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If interference whitening operation is performed, then interference suppression is improved, but signal reception performance deteriorates when interference level is lower than noise level
Solution Approach 1:
The interference whitening operation is made dynamic by adaptively turning it on or off based on interference detection results. The system transitions from a static always-on approach to a dynamic conditional approach, where the whitening operation is activated only when interference is detected above the noise level, thus preventing performance deterioration in low-interference conditions while maintaining interference suppression capability when needed.
Solution Approach 2:
The system implements feedback through an interference detection module that continuously monitors the receive signal and provides detection results to control the interference whitening operation. This feedback mechanism enables the system to adjust the whitening operation based on actual interference conditions, ensuring optimal performance by activating whitening only when interference exceeds noise levels.
2Reliability
If interference detection is performed to determine actual interference occurrence, then interference whitening performance is improved, but system complexity increases
Solution Approach 1:
The system is segmented into distinct functional modules: an interference detection module that analyzes channel state information and interference estimation data, and an interference whitening module that processes the receive signal. This segmentation allows the detection function to be independently optimized and controlled, improving interference whitening performance while managing system complexity through modular architecture.
Solution Approach 2:
The interference detection module serves as an intermediary between the receive signal and the interference whitening operation. It processes channel state information and interference estimation data to generate detection results that control whether whitening is applied, thus improving whitening performance by enabling informed decision-making while keeping the overall system complexity manageable through a dedicated intermediate component.
Data Source
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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.