Open AccessAcoustic Longitudinal Field NIF Optic Feature Detection Map Using Time-Reversal & MUSIC
Author(s) -
Sean K. Lehman
Publication year - 2006
Language(s) - English
Resource type - Reports
DOI - 10.2172/899101
Subject(s) - signal (programming language) , ultrasonic sensor , transmitter , feature (linguistics) , transducer , acoustics , field (mathematics) , pulse (music) , computer science , optics , artificial intelligence , channel (broadcasting) , physics , telecommunications , mathematics , linguistics , philosophy , detector , pure mathematics , programming language
We developed an ultrasonic longitudinal field time-reversal and MUltiple SIgnal Classification (MUSIC) based detection algorithm for identifying and mapping flaws in fused silica NIF optics. The algorithm requires a fully multistatic data set, that is one with multiple, independently operated, spatially diverse transducers, each transmitter of which, in succession, launches a pulse into the optic and the scattered signal measured and recorded at every receiver. We have successfully localized engineered ''defects'' larger than 1 mm in an optic. We confirmed detection and localization of 3 mm and 5 mm features in experimental data, and a 0.5 mm in simulated data with sufficiently high signal-to-noise ratio. We present the theory, experimental results, and simulated results