Ultra-wideband Interferer Detection via Spectrogram Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques are ineffective in detecting ultra-wideband (UWB) interferers in wireless communication networks, particularly in the 6 GHz spectrum, which can cause significant interference and degrade network performance.
Innovation Solution
The method involves scanning multiple channels to generate spectrograms, analyzing power variations, power slopes, carrier leakage, and pulse transmission periods to identify UWB interferers, allowing the network to configure itself to avoid interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing detection techniques are used, then device simplicity is maintained, but UWB interferer detection capability is insufficient
Solution Approach 1:
The patent transforms the detection approach from time-domain analysis to frequency-domain analysis by generating spectrograms. This dimensional transformation enables the detection system to identify UWB interferers through their characteristic spectral patterns (flat power across channels, specific power slopes) rather than requiring complex time-domain signal processing, thus improving detection capability while maintaining relative system simplicity.
Solution Approach 2:
The patent changes the analysis parameters from raw signal power to derived spectral characteristics including power variations across channels, power slopes between channel pairs, and pulse period detection. These parameter transformations enable more effective UWB interferer identification by exploiting the unique spectral signature of UWB signals without requiring overly complex detection hardware.
2Measurement precision
If spectral processing is implemented, then UWB interferer detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent segments the spectral analysis into distinct, manageable components: (1) generating spectrograms from channel scans, (2) calculating power variations for individual channels, (3) computing power slopes between channel pairs, (4) detecting pulse periods, and (5) synthesizing these features for interferer identification. This segmentation reduces processing complexity by breaking down the overall spectral processing task into discrete, implementable steps that can be executed sequentially or in parallel.
3Measurement precision
If channel scanning is performed to generate spectrograms, then detection capability is enhanced, but time consumption increases
Solution Approach 1:
The patent applies partial action by scanning only the specific frequency channels where UWB interferers are likely to occur (e.g., channels adjacent to 6 GHz WiFi bands) rather than performing a complete spectrum scan. The spectrogram generation focuses on relevant time windows and frequency ranges, reducing the overall processing time while maintaining sufficient detection accuracy for the target interferers.
Data Source
AI summary
Techniques for identifying ultra-wideband interferers in a wireless communication network are disclosed. These techniques include scanning a plurality of channels relating to a wireless communication network and generating one or more spectrograms based on the scanning. The techniques further include identifying an ultra-wideband interferer for the wireless communication network, using the one or more spectrograms, including: analyzing, using the one or more spectrograms, at least one of: (i) power variations relating one or more channels, (ii) power slopes between one or more pairs of channels, (iii) a power level for one or more channels, (iv) carrier leakage, or (v) a period of pulse transmissions.