%0 Journal Article %1 Ka2013a %A Ka, Min-Ho %A Baskakov, A.I. %A Terechov, V.A. %A Kononov, A.A. %D 2013 %J Geoscience and Remote Sensing Letters, IEEE %K approach;radar by disturbances;Radar estimation estimation;second-order function;power measurement;weak measurements;Sea measurements;sea-surface noise ocean power radar radar;Surface radar;continuous-wave ratio;Spaceborne scatterometer;power-spectrum-width-based scatterometer;remote sea-surface sensing sensing;sea sensing;sea-surface slope slope;sea-surface spectrum;radar statistics;signal surface;Signal techniques;remote to variance waves;Correlation waves;oceanographic %N 3 %P 593-597 %R 10.1109/LGRS.2012.2215305 %T Estimation of the Sea-Surface Slope Variance Based on the Power Spectrum Width of a Radar Scatterometer %V 10 %X In this letter, we introduce the possibility of the sea-surface slope measurements using second-order statistics of return waveforms from sea surface in a continuous-wave radar scatterometer. It has been shown that the estimation of the variance of sea-surface slopes can be obtained by measuring the signal power or the power-spectrum width of return waveforms. We found that the power-spectrum-width-based estimation approach is more sensitive to the variance of the sea-surface slope for weak sea-surface disturbances in contrast to the power-based one.

@article{Ka2013a, abstract = {In this letter, we introduce the possibility of the sea-surface slope measurements using second-order statistics of return waveforms from sea surface in a continuous-wave radar scatterometer. It has been shown that the estimation of the variance of sea-surface slopes can be obtained by measuring the signal power or the power-spectrum width of return waveforms. We found that the power-spectrum-width-based estimation approach is more sensitive to the variance of the sea-surface slope for weak sea-surface disturbances in contrast to the power-based one.}, added-at = {2015-05-19T04:26:01.000+0200}, author = {Ka, Min-Ho and Baskakov, A.I. and Terechov, V.A. and Kononov, A.A.}, biburl = {https://www.bibsonomy.org/bibtex/2ee979bed4a3d5e9369441c6157437129/starlinq}, doi = {10.1109/LGRS.2012.2215305}, interhash = {c7de6c1e7fb5f08d4d3f83e31584bf89}, intrahash = {ee979bed4a3d5e9369441c6157437129}, issn = {1545-598X}, journal = {Geoscience and Remote Sensing Letters, IEEE}, keywords = {approach;radar by disturbances;Radar estimation estimation;second-order function;power measurement;weak measurements;Sea measurements;sea-surface noise ocean power radar radar;Surface radar;continuous-wave ratio;Spaceborne scatterometer;power-spectrum-width-based scatterometer;remote sea-surface sensing sensing;sea sensing;sea-surface slope slope;sea-surface spectrum;radar statistics;signal surface;Signal techniques;remote to variance waves;Correlation waves;oceanographic}, month = May, number = 3, owner = {Vladimir}, pages = {593-597}, timestamp = {2015-05-19T04:27:27.000+0200}, title = {Estimation of the Sea-Surface Slope Variance Based on the Power Spectrum Width of a Radar Scatterometer}, volume = 10, year = 2013 }