Yung P. Lee
Science Applications International, Inc., 1710 Goodridge Dr., MS T1-3-5, McLean, VA
Application of robust adaptive algorithms to multiple-frequency MFP in shallow water has been studied and the minimum-detectable-level (MDL) has been examined via simulations. The multiple-frequency MFP output is obtained by incoherently averaging the MFP outputs of the discrete narrow-band-components. Performance of three different averaging techniques (arithmetic-mean, geometric-mean, and harmonic-mean) have been compared. The arithmetic-mean averages the amplitudes, the geometric-mean averages the dBs, and the harmonic-mean averages the reciprocals of the amplitudes. These algorithms have been applied to shallow water data from the Hudson Canyon experiment and have demonstrated excellent source localization results. simulations show a 10- to 20-dB improvement in the MDL against the simulated near or distant surface noise.