Bayesian spectrum estimation of termite signals using laser Doppler vibrometry

Autor: Tom Fink, Alan Lax, Vijay Ramalingam, John M. Seiner, Asif Mehmood, Orwa Tahaineh
Rok vydání: 2007
Předmět:
Zdroj: The Journal of the Acoustical Society of America. 122:3090
ISSN: 0001-4966
DOI: 10.1121/1.2943044
Popis: Laser vibrometry provides a sensitive non‐invasive means of measuring substrate vibration. These measurements include landmine detection, automotive testing, production testing, aerospace, and structural testing. We employed laser vibrometry for termite detection. The vibratory signal generated by termite head banging is picked up by the laser Doppler vibrometer. In laser vibrometry, the surface motion is monitored by heterodyne laser Doppler vibrometry, and the received heterodyne signal is sampled to produce time‐series data. The time‐series data thus obtained is the velocity signal of the vibrating object. We consider here a statistical signal‐processing approach to termite head banging data, which is based on Bayesian inference. In this approach, the quantity of interest is the frequency of vibration caused by termite head banging, while phase and quadrature amplitudes are considered nuisance parameters. We employ a single‐frequency model to determine this frequency. Because of the optimal prior knowl...
Databáze: OpenAIRE