Title :
Nonparametric narrowband wavefront estimation from wavefront gradients
Author :
Spagnolini, Umberto
Author_Institution :
Dipt. di Eletronica e Inf., Politecnico di Milano
fDate :
11/1/1999 12:00:00 AM
Abstract :
The wavefield sampled by a two-dimensional (2-D) planar array can he characterized by a delayed signal. This correspondence investigates the problem of the nonparametric estimation of the delay function (or wavefront) when the waveform is narrowband. The wavefront is estimated by integrating the local estimates of the differential time of delay (TOD) of the waveform between neighboring sensors. The ambiguity of the TOD estimator for the narrowband waveform can be conveniently limited by the a priori search interval for the cross correlation method. The reconstruction of the wavefronts is formulated as a least squares problem that is solved iteratively. Errors of the solution are quantified, and the contribution caused by noise is shown to be negligible
Keywords :
array signal processing; delay estimation; iterative methods; least squares approximations; nonparametric statistics; TOD estimator; a priori search interval; cross correlation method; delay function; delayed signal; differential time of delay; iterative methods; least squares problem; narrowband waveform; noise; nonparametric estimation; nonparametric narrowband wavefront estimation; reconstruction; two-dimensional planar array; wavefront gradients; Acoustic distortion; Acoustic propagation; Array signal processing; Delay estimation; Narrowband; Nonlinear distortion; Propagation delay; Sensor arrays; Sensor phenomena and characterization; Shape;
Journal_Title :
Signal Processing, IEEE Transactions on