Sea spikes: the empirical dependence of K-distribution parameters on system and environmental parameters

Author

Davis, Jon ; Rankin, Michael ; Ochadlick, Andrew ; Everett, Wayne ; Kraus, John ; Siegel, Alan ; Webster, Timothy ; Rino, C. ; Lyden, James

Author_Institution

NAWCADWAR, Warminster, PA, USA

Volume

2

fYear

1994

fDate

8-12 Aug. 1994

Firstpage

812

Abstract

During July-August 1993 the LOGAN (Low Grazing Angle) marine surveillance radar experiment was conducted at the Chesapeake Light Tower off Virginia Beach, Virginia. The authors have begun the analysis of the sea-clutter data at X-band for 4-m range resolution. The data has been analyzed in terms of the K-distribution. These early results are analyzed for noise contamination and self-consistency. The uncertainty in the shape parameter is larger than anticipated and not understood at present. The only certain trend is that the values of the shape parameter are smaller (spikier behavior) for HH-pol than for VV-pol.

Keywords

FM radar; backscatter; electromagnetic wave scattering; ocean waves; oceanographic regions; oceanographic techniques; radar applications; radar clutter; radar cross-sections; radar polarimetry; remote sensing; remote sensing by radar; 5.2 to 11 GHz; AD 1993; Chesapeake Light Tower; K-distribution parameters; LOGAN; Low Grazing Angle; North Atlantic; SHF microwave; Virginia Beach USA coast; X-band; empirical dependence; grazing incidence radiowave reflection; marine surveillance radar experiment; measurement technique; ocean wave; polarization; radar polarimetry; radar remote sensing; sea spike clutter; sea surface; sea-clutter; shape parameter; Backscatter; Contamination; Data analysis; Histograms; Noise figure; Noise shaping; Oceans; Polarization; Poles and towers; Radar; Radar cross section; Sea surface; Shape; Signal to noise ratio; Surveillance; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International

Print_ISBN

0-7803-1497-2

Type

conf

DOI

10.1109/IGARSS.1994.399271

Filename

399271