Accession Number : ADA257464


Title :   Unconventional Signal Processing Using the Cone Kernel Time-Frequency Representation.


Descriptive Note : Final rept. 1 Apr-31 Oct 1992


Corporate Author : SPACE APPLICATIONS CORP KENT WA SEATTLE OPERATIONS


Personal Author(s) : Carothers, J ; Swenson, E W


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a257464.pdf


Report Date : 30 Oct 1992


Pagination or Media Count : 64


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.


Descriptors :   *SIGNAL PROCESSING , *ACOUSTIC SIGNALS , *UNDERWATER ACOUSTICS , *SONAR , FREQUENCY , TRANSIENTS , DETECTION , DISTRIBUTION , CELLS , PROCESSING , RESOLUTION , STATISTICS , NARROWBAND , UNDERWATER , ANALYZERS , NOISE , ACOUSTICS , GAUSSIAN NOISE , REGIONS , PHASE , TIME , SURFACES , SIGNALS , BROADBAND


Subject Categories : Acoustic Detection and Detectors
      Acoustics


Distribution Statement : APPROVED FOR PUBLIC RELEASE