Unconventional Signal Processing Using the Cone Kernel Time-Frequency Representation.
Abstract
In phase I of this project, the applicability of the cone kernel time-frequency representation (CK-TFR) to underwater acoustic signal analysis was explored. The Cohen class of time-frequency distributions is described and the theoretical basis for improved resolution in the time-frequency plane is presented. Several examples are given of relative performance between members of the Cohen class, including the spectrogram. Specifically, the Wigner-Ville, Choi-Williams, CK-TFR, and spectrogram are compared. Improved performance with the CK-TFR prompted further study with actual acoustic signals. Biological and diesel surface vessel acoustics were analyzed with the CK-TFR and both a narrowband and broadband spectrogram process. Results favored the CK-TFR when compared in terms of T-F cell resolution, estimation of the signal's region of support, and detection statistics. The later were computed for a synthetic active sonar case with closely spaced (range and Doppler), multiple highlights in white Gaussian noise. Although, it is pointed out that the CK-TFR is sub optimum in this case. A signal processing workstation is defined which provides the means to conduct extensive tradeoffs between the CK-TFR and spectrogram process. Signal Processing Frequency Analysis LOFAR Transients Acoustic Analyzer Spectrogram Time-Frequency Sonar Whale Calls.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 30, 1992
- Accession Number
- ADA257464
Entities
People
- E. W. Swenson
- J. Carothers