The Development of a Kernel to Detect Ziphius cavirostris Vocalizations and a Performance Assessment of an Automated Passive Acoustic Detection Scheme
Abstract
An ensemble consisting of 150 Ziphius cavirostris vocalizations was compiled from acoustic data recorded at two High-frequency Acoustic Recording Package (HARP) locations: the Naval Postgraduate School (NPS)'s Point Sur HARP and Scripps Institution of Oceanography (SIO)'s site H HARP. The ensemble was analyzed via a principal component analysis (PCA). The results of the PCA verified the statistical robustness of the signal and yielded one dominant mode which accounted for 73% of the variance. The dominant mode was used to create a kernel for a matched filter detection scheme. The subsequent detector output was statistically evaluated against a ground truth. The ground truth identified 28,434 Ziphius clicks by visually inspecting over 170 minutes of data recorded by NPS s Data Acquisition System (DAS) at the Southern California Offshore Range (SCORE). The inability to visually discriminate a signal embedded in noise created a conservatively biased ground truth estimate which increased the detector s false alarm rate. At an acceptable 0.1% false alarm rate, the detector had an overall 44% probability of detection. A further assessment of the detector s performance divided the data into two categories: cluttered and uncluttered. At a false alarm rate of 0.1%, the probability of detection was 26% and 61%, respectively. .
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2008
- Accession Number
- ADA488896
Entities
People
- Jessica R. Mohamed
Organizations
- Naval Postgraduate School