Weak Fingerprint Filtering for Wireless Coverage Vulnerability Detection

The patent applies preliminary action by pre-establishing filter-out conditions that incorporate tidal phenomenon patterns and edge AP identification criteria. Before final vulnerability determination, the system pre-filters suspected vulnerabilities using these conditions, preventing misjudgments from tidal effects and edge AP characteristics. This preliminary filtering mechanism ensures that only genuine coverage vulnerabilities are identified, maintaining high measurement precision while preserving comprehensive detection coverage.

The patent applies parameter changes by transforming the filter-out conditions into standardized evaluation parameters that assess tidal phenomenon characteristics and edge AP properties. Instead of complex qualitative analysis, the system uses quantifiable parameters such as signal strength thresholds, temporal patterns, and spatial distribution metrics. This parameterization simplifies the processing logic while maintaining high measurement precision, as the conditions can be efficiently evaluated using standard computational operations.

The patent applies the taking out principle by extracting and prioritizing only the most critical features from weak fingerprint data that are relevant to vulnerability detection. Instead of analyzing all data components equally, the system extracts key parameters such as signal strength, location information, and temporal characteristics that directly indicate coverage vulnerabilities. This selective extraction reduces processing time significantly while maintaining measurement precision, as the essential vulnerability-indicating features are identified without unnecessary computational overhead.