Title :
ROC evaluation of adaptive beamforming in a simulated shallow water environment
Author :
Wazenski, M. ; Alexandrou, D. ; DeFatta, D.
Author_Institution :
Digital Syst. Res., Fairfax, VA, USA
fDate :
1/1/1996 12:00:00 AM
Abstract :
An optimal evaluation of adaptive beamforming techniques in a reverberation-limited shallow water environment is presented. A comprehensive simulation, using the sonar simulation toolset (SST) software in conjunction with the generic sonar model (GSRT) software, is used to create realistic beam data complete with target, noise, and reverberation. Adaptive beamforming techniques from the recursive least squares (RLS) family are applied to enhance detection performance via interference rejection. Two techniques are considered: linearly constrained beamforming using the minimum variance distortionless response (MVOR) beamformer and constrained adaptive noise cancelling (ANC) using the joint process least squares lattice (JPLSL) algorithm. Target detection trials, summarized in the form of receiver operator characteristics (ROC), are used to evaluate performance of the two adaptive beamformers. Results demonstrate mixed performance in reverberation-limited shallow water environments
Keywords :
adaptive signal detection; array signal processing; digital simulation; geophysics computing; interference suppression; least squares approximations; oceanographic techniques; reverberation; sonar; underwater sound; ROC evaluation; adaptive beamforming; constrained adaptive noise cancelling; detection performance; generic sonar model software; interference rejection; joint process least squares lattice algorithm; linearly constrained beamforming; minimum variance distortionless response; mixed performance; noise; receiver operator characteristics; recursive least squares; reverberation; reverberation-limited shallow water environments; simulated shallow water environment; sonar simulation toolset; target; target detection trials; Array signal processing; Interference constraints; Lattices; Least squares methods; Noise cancellation; Resonance light scattering; Reverberation; Software tools; Sonar; Working environment noise;
Journal_Title :
Oceanic Engineering, IEEE Journal of
