Pulse Train Cycle Estimation with Dynamic Noise Threshold
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods face difficulties in accurately estimating the cycle of a pulse train signal when the stagger level is high, as the random noise threshold value increases proportionally with the number of pulses, leading to erroneous cycle extraction.
Innovation Solution
A pulse train signal cycle estimation device that extracts candidate cycles, converts pulse train arrangements into numerical values, and adjusts the random noise threshold value based on a concentration index to enable accurate cycle determination through PRI conversion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the random noise threshold value is increased in proportion to the number of pulses to prevent erroneous extraction from random noise, then the reliability of cycle extraction is improved, but the measurement precision deteriorates when stagger level is high
Solution Approach 1:
The patent applies local quality by adjusting the random noise threshold value based on the specific characteristics of the pulse train (stagger level and pulse arrangement) rather than using a uniform threshold for all cases. The threshold is locally optimized for each pulse train configuration, allowing high reliability for random noise rejection while maintaining measurement precision for the specific staggered pulse pattern being analyzed.
Solution Approach 2:
The patent changes the threshold parameter dynamically based on the stagger level and pulse arrangement characteristics. By calculating an appropriate threshold value that adapts to the specific pulse train parameters, the system resolves the contradiction between needing a high threshold for reliability and a low threshold for precision in staggered pulse scenarios.
2Reliability
If a high random noise threshold is used to filter out random noise, then false cycle detection is reduced, but the ability to detect actual cycles in high stagger level signals is lost
Solution Approach 1:
The patent makes the threshold value dynamic rather than static. The threshold adapts to the specific pulse train characteristics including stagger level and pulse arrangement, allowing the system to maintain high false detection rejection while preserving sensitivity to actual cycles in staggered signals.
Solution Approach 2:
The patent performs preliminary analysis of the pulse train characteristics (stagger level, pulse arrangement) before setting the threshold value. This preliminary action allows the system to pre-calculate an optimal threshold that will prevent false detections while maintaining detection capability for the specific signal pattern.
Data Source
AI summary
A cycle estimation device (10) includes: a candidate cycle extraction unit (11) which extracts a candidate cycle that is a cycle determination target from an input time-series pulse train; a pulse train shape analysis unit (12) which converts arrangement of the time-series pulse train into numerical values on the basis of the extracted candidate cycle and outputs a constant that adjusts a random noise threshold value of pulse repetition interval (PRI) conversion in response to an index indicating a degree of concentration of calculated numerical values; and a cycle detection unit (13) which executes PRI conversion using a value of the candidate cycle and the constant and performs cycle determination and cycle value detection.