Statistical array signal processing of measured sonar and seismic data

Johann F. Boehme

doi:10.1117/12.211389

7 June 1995 Statistical array signal processing of measured sonar and seismic data

Johann F. Boehme

Proceedings Volume 2563, Advanced Signal Processing Algorithms; (1995) https://doi.org/10.1117/12.211389
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

Statistically motivated methods of array signal processing are investigated. One application of interest is source detection and location possibly followed by signal filtering with high resolution from passive sonar data recorded by a towed array. The second application is seismic signal retrieval from regional events with the problem of phase detection and separation using data from the GERESS array in Germany. Approximate maximum likelihood in the frequency domain is used for detection and parameter estimation of wideband signals superimposed by stationary noise. Numerical procedures for corresponding optimization and tests are explained. Results of numerical experiments with sonar data measured in the Baltic Sea and with GERESS data are discussed.

Citation Download Citation

Johann F. Boehme "Statistical array signal processing of measured sonar and seismic data", Proc. SPIE 2563, Advanced Signal Processing Algorithms, (7 June 1995); https://doi.org/10.1117/12.211389

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