Wireless Receiver FFT Classification of Incomplete Interference Signatures
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Solution Overview
Problem
Wireless networks face challenges in classifying non-network interference sources due to limited information availability, requiring efficient methods to determine interference characteristics like frequency, power levels, and localization using existing wireless receivers.
Innovation Solution
Wireless receivers are calibrated to provide amplitude-versus-frequency information by performing FFTs, capturing interference signatures, and recording noise floor variations to accurately classify interferers, even in incomplete data conditions, allowing for hybrid Access Point and Spectrum Monitor functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spectrum analyzers are used to classify interference sources, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent creates simplified copies of spectrum analyzer functionality by implementing interference detection and classification algorithms within standard wireless receivers. Instead of requiring actual spectrum analyzers, the system copies their essential measurement capabilities using software-based spectral analysis (FFT) on received signals, achieving comparable classification accuracy with much simpler hardware
Solution Approach 2:
The patent makes standard wireless receivers multi-functional by enabling them to perform both their primary communication function and interference classification function. The same receiver hardware that receives wireless signals is also configured to analyze spectral content and classify interferers, eliminating the need for separate specialized equipment
2Measurement precision
If complete interference information is collected, then classification accuracy is improved, but loss of time increases
Solution Approach 1:
The patent applies partial action by collecting and analyzing only the most critical interference characteristics rather than complete information. The system focuses on measuring spectral density, peak frequencies, and duty cycle - the key parameters needed for classification - while ignoring less relevant details, achieving accurate classification faster by doing just enough measurement
Solution Approach 2:
The patent performs preliminary spectral analysis continuously in the background, maintaining a ready state with pre-computed spectral characteristics. When interference classification is needed, the system already has current spectral data available, eliminating the time delay that would occur if measurements had to be taken from scratch at the moment of detection
3Measurement precision
If sophisticated equipment is used for interference detection, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements self-service by enabling wireless receivers to automatically perform interference classification without requiring external specialized equipment or complex manual configuration. The receiver autonomously measures spectral characteristics, compares them against interference profiles, and identifies interferer types, making the sophisticated measurement capabilities automatically available through simple operation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables effective classification of interference sources, reducing false detections and improving interference management in wireless networks by utilizing calibrated signatures and noise floor analysis to reconstruct incomplete signals and distinguish multiple interferers.
Implementation Method 1
This may be performed by performing a FFT or similar transform on the received signals.
Data Source
AI summary
Interference classification with minimal or incomplete information. Receivers in access points and in other network devices on a wireless digital network may be switched to a spectrum monitor mode in which they provide amplitude-versus-frequency information for a chosen part of the spectrum. This may be performed by performing a FFT or similar transform on the signals from the receiver. Receivers are calibrated with known interference sources in controlled environments to determine peaks, pulse frequency, bandwidth, and other identifying parameters of the interference source in best and worst case conditions. These calibrated values are used for matching interference signatures. Calibration is also performed using partial signatures collected over a short period in the order of microseconds. These partial signals may be used to detect interferers while scanning. Another aspect of the invention is to record the variation of noise floor in the presence of interference sources. Multiple interference sources may be detected. While data collection is performed in one or more APs, classification may be performed in the AP or on other systems associated with the network collecting and processing spectrum information from one or more APs.