Scinovex
articleTop 10% cited

High-resolution frequency-wavenumber spectrum analysis

Proceedings of the IEEE · 1969 · Vol. 57(8) · pp. 1408–1418
J. Capon

Abstract

The output of an array of sansors is considered to be a homogeneous random field. In this case there is a spectral representation for this field, similar to that for stationary random processes, which consists of a superposition of traveling waves. The frequency-wavenumber power spectral density provides the mean-square value for the amplitudes of these waves and is of considerable importance in the analysis of propagating waves by means of an array of sensors. The conventional method of frequency-wavenumber power spectral density estimation uses a fixed-wavenumber window and its resolution is determined essentially by the beam pattern of the array of sensors. A high-resolution method of estimation is introduced which employs a wavenumber window whose shape changes and is a function of the wavenumber at which an estimate is obtained. It is shown that the wavenumber resolution of this method is considerably better than that of the conventional method. Application of these results is given to seismic data obtained from the large aperture seismic array located in eastern Montana. In addition, the application of the high-resolution method to other areas, such as radar, sonar, and radio astronomy, is indicated.

Seismic Waves and AnalysisSeismic Imaging and Inversion TechniquesUnderwater Acoustics ResearchWavenumberSpectral densitySuperposition principlePhysicsOpticsSpectral density estimationComputational physicsMathematicsMathematical analysisFourier transform
Citations
6,183
FWCI
6.38
field-weighted impact
References
8
Percentile
97%
vs. same field & year
Citations per year
Cited by
A sparse signal reconstruction perspective for source localization with sensor arrays
IEEE Transactions on Signal Processing · 2005 · 2,559 citations
Off-Grid Direction of Arrival Estimation Using Sparse Bayesian Inference
IEEE Transactions on Signal Processing · 2012 · 880 citations
Spectrum analysis—A modern perspective
Proceedings of the IEEE · 1981 · 3,151 citations
Spectrum estimation and harmonic analysis
Proceedings of the IEEE · 1982 · 4,398 citations
The Retrieval of Harmonics from a Covariance Function
Geophysical Journal International · 1973 · 1,114 citations
An introduction to multisensor data fusion
Proceedings of the IEEE · 1997 · 2,504 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.