RF Interference Detection via Signal Hit Rates
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Solution Overview
Problem
The increasing number of wireless communication systems and devices has led to significant radio frequency interference (RFI), which degrades the performance of wireless communication systems, causing reduced data throughput, dropped calls, and loss of connectivity.
Innovation Solution
A test instrument that detects RFI by receiving RF signals across a range of frequencies, determining respective hit rates, and identifying interference signals based on hit rates exceeding a predetermined threshold, allowing for the identification of interference sources and potential resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional RFI detection methods are used, then interference signals can be detected, but low power level interference signals cannot be detected
Solution Approach 1:
The system performs preliminary actions by collecting RF signal samples over multiple time periods before making a detection decision. The hit rate calculation aggregates signal presence information across multiple measurements, allowing low power interference signals to accumulate sufficient evidence for detection before being identified
Solution Approach 2:
The system implements feedback through iterative hit rate calculation and comparison against thresholds. Each new RF signal measurement feeds into the hit rate calculation, and the continuous comparison with predetermined thresholds provides feedback that enables detection of low power signals that gradually build up statistical significance
2Productivity
If the number of wireless communication systems increases, then communication coverage expands, but radio frequency interference increases
Solution Approach 1:
The system converts the harmful effect of multiple RF signals (interference) into a beneficial detection mechanism. By using hit rate calculation across multiple frequency bins, the system leverages the presence of multiple signals to identify interference patterns that stand out statistically, turning the crowded RF environment into an opportunity for interference detection
Solution Approach 2:
The system changes parameters by evaluating RF signals across multiple frequency bins and time periods rather than single-point measurements. This multi-dimensional parameter approach (frequency bins × time periods) allows the system to distinguish interference from legitimate communications by analyzing patterns across changed parameters
3Measurement precision
If RF signals are monitored continuously, then interference detection accuracy improves, but energy consumption increases
Solution Approach 1:
The system employs periodic action by collecting RF signal samples over multiple discrete time periods rather than continuous monitoring. The hit rate calculation operates on these periodic samples, achieving accurate interference detection through structured periodic measurements while allowing the system to enter lower-power states between measurement periods
Data Source
AI summary
According to examples, a test instrument may include a radio frequency (RF) receiver to receive RF signals across a range of frequencies, a persistent spectrum analyzer to determine signal strengths of the RF signals across the range of frequencies, and a processing circuit. The processing circuit may determine respective hit rates of the RF signals from the determined signal strengths of the RF signals, detect that a certain RF signal of the RF signals is an interference signal based on the respective hit rates of the RF signals, and output the frequency of the detected interference signal. The use of the hit rates may enable identification of interference signals have relatively low signal power levels.