Moving-Window Interference Detection for Wireless Receivers
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Solution Overview
Problem
Communication systems face interference issues due to co-channel and adjacent channel interference, leading to data distortion and system malfunction, as existing receivers struggle to accurately distinguish between data and interference signals.
Innovation Solution
A system comprising an automatic gain control (AGC) module, a digital signal processing (DSP) module, and a control module that generates a gain-locked signal and a sync-detect signal to differentiate between data and interference signals by monitoring signal stability and synchronization patterns, with a low-pass filter to reduce noise effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a peak detector module is used to detect signal peaks, then data detection capability is improved, but false alarm rate increases due to interference signals being mistaken for data
Solution Approach 1:
The system uses a feedback mechanism where the AGC module continuously monitors signal strength and provides feedback to the control module. The control module adjusts the AGC gain based on this feedback and the presence of sync patterns, enabling dynamic adaptation that prevents false alarms while maintaining data detection accuracy.
Solution Approach 2:
The control module acts as an intermediary between the AGC module and the DSP module. It coordinates the operation of these modules by managing the timing relationships between gain-locked signals and sync-detect signals, ensuring that interference signals are not mistakenly processed as data.
2Reliability
If the AGC gain is dropped in response to an interference signal, then false alarm prevention is improved, but system responsiveness deteriorates due to unknown interference characteristics
Solution Approach 1:
The system performs preliminary detection of sync patterns before making decisions about signal validity. The control module checks for the presence of synchronization patterns as a preliminary step to determine whether a detected peak represents actual data or interference, enabling faster and more accurate response.
Solution Approach 2:
The system replaces simple threshold-based detection with a more sophisticated approach using sync pattern recognition. Instead of relying solely on amplitude thresholds that are sensitive to interference, the system uses pattern matching to identify valid data signals, improving both reliability and responsiveness.
3Measurement precision
If synchronous detection is used to identify data signals, then accuracy is improved, but detection time increases due to the need for synchronization pattern recognition
Solution Approach 1:
The system uses partial sync pattern detection rather than requiring complete pattern recognition. The control module can identify valid signals by detecting key synchronization features without needing to verify the entire packet structure, reducing detection time while maintaining accuracy.
Solution Approach 2:
Synchronization pattern detection is performed as a preliminary filtering step before full data processing. This allows the system to quickly identify and reject interference signals early in the detection process, reducing the overall detection time for valid signals.
Data Source
AI summary
A system comprises a gain control module that selectively generates a gain locked signal based on a wireless input signal. A sync detect module that selectively generates a sync detect signal based on the wireless input signal. An interference detection module that selectively generates a wireless interference detection signal based on the gain locked signal and the sync detect signal.