The wavefleld sampled by a two-dimensional (2-D) planar array can be 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. © 1999 IEEE S 1053-587X(99)08299-9.

Nonparametric narrowband wavefront estimation from wavefront gradients

Spagnolini, Umberto
1999-01-01

Abstract

The wavefleld sampled by a two-dimensional (2-D) planar array can be 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. © 1999 IEEE S 1053-587X(99)08299-9.
1999
Array signal processing; Delay estimation; Inverse problems; Signal Processing; Electrical and Electronic Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1047723
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