Adaptive Self Tuning

Software · Tue May 02 00:00:00 EDT 2017

DOI:https://doi.org/10.11578/dc.20220414.54· OSTI ID:1395464 · Code ID:73092

Peterson, Matthew ^[1]; Draelos, Timothy ^[1]; Knox, Hunter ^[1]

---

1. Sandia National Laboratories

The AST software includes numeric methods to 1) adjust STA/LTA signal detector trigger level (TL) values and 2) filter detections for a network of sensors. AST adapts TL values to the current state of the environment by leveraging cooperation within a neighborhood of sensors. The key metric that guides the dynamic tuning is consistency of each sensor with its nearest neighbors: TL values are automatically adjusted on a per station basis to be more or less sensitive to produce consistent agreement of detections in its neighborhood. The AST algorithm adapts in near real-time to changing conditions in an attempt to automatically self-tune a signal detector to identify (detect) only signals from events of interest.

• Short Name / Acronym: AST
• Project Type: Open Source, No Publicly Available Repository
• Site Accession Number: 7674; SCR# 2210
• Software Type: Scientific
• License(s): Other
• Programming Language(s): Python
• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE

  ---

  Primary Award/Contract Number:

  NA0003525
• DOE Contract Number: NA0003525
• Code ID: 73092
• OSTI ID: 1395464
• Country of Origin: United States