Bin-5 Test Signal Detection via Pulse Burst Ratio Analysis
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Solution Overview
Problem
Current systems fail to accurately detect the Bin-5 Test Signal, which has random characteristics such as a varying number of pulses and burst intervals, leading to false detection with wireless network traffic, rendering them impractical for certification in specific frequency bands.
Innovation Solution
A method that distinguishes the Bin-5 Test Signal by analyzing the ratio of bursts containing one pulse (singletons) to bursts containing two pulses (pairs) and three pulses (triplets), using a predetermined ratio to determine the presence of the signal, thereby suppressing false detection from network traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If prior art detection systems are used to detect signals in the 5.250-5.350 GHz or 5.470-5.725 GHz bands, then detection capability is provided, but false detection from network traffic occurs frequently
Solution Approach 1:
The patent applies parameter changes by analyzing the statistical distribution of pulse counts across multiple bursts. Specifically, it examines whether the number of bursts containing one pulse, two pulses, and three pulses are substantially equal, which is a unique statistical signature of the Bin-5 Test Signal that distinguishes it from network traffic with different pulse distribution patterns
Solution Approach 2:
The system uses feedback by continuously monitoring the pulse burst patterns and comparing the observed distribution against the expected 1:1:1 ratio for Bin-5 signals. This feedback mechanism allows the system to adaptively distinguish between test signals and network traffic, reducing false detections while maintaining reliable signal detection
2Reliability
If the detection system analyzes all bursts to determine pulse distribution ratios, then false detection is suppressed, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the detection process into distinct stages: first detecting individual bursts, then counting pulses within each burst, and finally analyzing the statistical distribution across multiple bursts. This segmented approach breaks down a complex detection problem into manageable steps that can be implemented efficiently
Solution Approach 2:
The system uses partial action by focusing only on the essential characteristic needed for detection - the pulse count distribution ratio - rather than analyzing all possible signal parameters. By concentrating on this single statistical feature, the system achieves reliable detection without requiring complex analysis of every aspect of the signal
Data Source
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AI summary
A method for detecting a signal having random characteristics. A plurality of bursts are detected within a predetermined time period. The plurality of bursts are evaluated to determine how many pulses each of the plurality of bursts contains. The signal having random characteristics is present responsive to the ratio of number of bursts containing a first predetermined number of pulses being approximately equal to number of bursts containing a second predetermined number of pulses. For signals such as a Bin-5 Test Signal, the signal is determined to be present responsive to the number of singletons (bursts having one pulse), the number of pairs (bursts having two pulses) and the number of triplets (bursts having three pulses) being approximately equal.