Snow-covered lake ice in GPS multipath reception – Theory and measurement

Speculary reflected signals from the ground can significantly affect the performance of Global Positioning System receivers. For this type of multipath condition, the received powers are primarily the sum of the speculary reflected and direct signals. These reflected signals can provide useful information about the land-surface composition. In this paper, we discuss the special case of a snow-covered frozen lake, with incident energy at 1.57542 GHz with right-hand circularly polarization at elevation angles between 2° and 40°. The relative received powers are computed and measured for various thicknesses of lake ice. The received powers for both theory and measurement have the same behavior throughout a range of elevation angles. The potential for inferring lake ice thickness is explored for a snow-covered lake ice case study.

[1]  Stephen J. Katzberg,et al.  Terrain Moisture Classification Using GPS Surface-Reflected Signals , 2007, IEEE Geoscience and Remote Sensing Letters.

[2]  Ronald Muellerschoen,et al.  A delay/Doppler-mapping receiver system for GPS-reflection remote sensing , 2002, IEEE Trans. Geosci. Remote. Sens..

[3]  Robert M. Fano,et al.  Electromagnetic Energy Transmission and Radiation , 1968 .

[4]  Dorothy K. Hall,et al.  Freshwater Ice Thickness Observations Using Passive Microwave Sensors , 1981, IEEE Transactions on Geoscience and Remote Sensing.

[5]  R. A. Mueller,et al.  Remote profiling of lake ice using an S-band short-pulse radar aboard an all-terrain vehicle , 1976 .

[6]  Lake Erie ice cover climatology : basin averaged ice cover, winters 1898-2002 , 2004 .

[7]  P. Beckmann,et al.  The scattering of electromagnetic waves from rough surfaces , 1963 .

[8]  Robert K. Crane,et al.  A signal-processing algorithm for the extraction of thin freshwater-ice thickness from short pulse radar data , 1990 .

[9]  P. Axelrad,et al.  Sea ice remote sensing using surface reflected GPS signals , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[10]  A. Sihvola,et al.  The complex dielectric constant of snow at microwave frequencies , 1984 .

[11]  C. T. Swift,et al.  Microwave radar and radiometric remote sensing measurements of lake ice , 1980 .

[12]  Warren L. Stutzman,et al.  Polarization in Electromagnetic Systems , 1992 .

[13]  Steven A. Arcone,et al.  Reflection profiling of Arctic lake ice using microwave FM-CW radar , 1997, IEEE Trans. Geosci. Remote. Sens..

[14]  Adnan Kavak,et al.  GPS Multipath Fade Measurements to Determine L-Band Ground Reflectivity Properties , 1996 .

[15]  R. Assel.  Great Lakes weekly ice cover statistics , 2005 .

[16]  O. Torres,et al.  Utilizing calibrated GPS reflected signals to estimate soil reflectivity and dielectric constant: Results from SMEX02 , 2006 .

[17]  E. Small,et al.  Use of GPS receivers as a soil moisture network for water cycle studies , 2008 .

[18]  F. Nievinski,et al.  Can we measure snow depth with GPS receivers? , 2009 .

[19]  P. Axelrad,et al.  Using GPS multipath to measure soil moisture fluctuations: initial results , 2008 .

[20]  Mark D. Jacobson,et al.  Dielectric-Covered Ground Reflectors in GPS Multipath Reception—Theory and Measurement , 2008, IEEE Geoscience and Remote Sensing Letters.

[21]  David Hogg,et al.  Wet Reflectors in Millimeter-Wave Radiometry-Expenrment and Theory , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Steven A. Arcone.  Dielectric constant and layer-thickness interpretation of helicopter-borne short-pulse radar waveforms reflected from wet and dry river-ice sheets , 1991, IEEE Trans. Geosci. Remote. Sens..

[23]  Adnan Kavak,et al.  Using GPS to measure ground complex permittivity , 1998 .

[24]  C. Johnk,et al.  Engineering Electromagnetic Fields and Waves , 1975 .