Abstract | ||
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A novel approach is developed for forming high-resolution images of radar targets from delay Doppler spotlight-mode radar data. This approach is based on a model for the target's reflectivity in terms of wide-sense stationary, uncorrelated scatterers having complex-valued Gaussian statistics. The imaging problem is to estimate the target's scattering function in terms of radar-echo data acquired with a series of target illuminations. A method is developed for solving this multidimensional spectrum estimation problem through the use of maximum-likelihood estimation implemented using the expectation-maximization algorithm |
Year | DOI | Venue |
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1989 | 10.1109/ICASSP.1989.266942 | Glasgow |
Keywords | DocType | ISSN |
picture processing,radar theory,spectral analysis,complex-valued gaussian statistics,delay doppler spotlight-mode radar,high-resolution radar images,maximum-likelihood estimation,radar targets,radar-echo data,reflectivity,scatterers,scattering function,spectrum estimation,high resolution,multidimensional systems,lighting,spectrum,maximum likelihood estimate,maximum likelihood estimation,expectation maximization algorithm,statistics,radar imaging | Conference | 1520-6149 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
O'Sullivan, J.A. | 1 | 0 | 0.34 |
Snyder, Donald L. | 2 | 363 | 175.26 |
Moulin, P. | 3 | 13 | 3.05 |