Backscattered Signal

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The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform

Luca Palmieri - One of the best experts on this subject based on the ideXlab platform.

W. Whit Smith - One of the best experts on this subject based on the ideXlab platform.

  • Measurements of small-scale fading and path loss for long range RF tags
    IEEE Transactions on Antennas and Propagation, 2003
    Co-Authors: Daeyoung Kim, Mary Ann Ingram, W. Whit Smith
    Abstract:

    RF modulated backscatter (RFMB), also known as modulated radar cross section or sigma modulation, is a RF transmission technique useful for short-range, low-data-rate applications, such as nonstop toll collection, electronic shelf tags, freight container identification and chassis identification in automobile manufacturing, that are constrained to have extremely low power requirements. The small-scale fading observed on the Backscattered Signal has deeper fades than the Signal from a traditional one-way link of the same range in the same environment because the fading on the Backscattered Signal is the product of the fading on the off-board-generated carrier times the fading on the reflected Signal. This paper considers the continuous wave (CW) type of RFMB, in which the interrogator transmitter and receiver antennas are different. This two-way link also doubles the path loss exponent of the one-way link. This paper presents the cumulative distribution functions for the measured small-scale fading and the measured path loss for short ranges in an indoor environment at 2.4 GHz over this type of link.

  • small scale fading for an indoor wireless channel with modulated backscatter
    Vehicular Technology Conference, 2001
    Co-Authors: Daeyoung Kim, Mary Ann Ingram, W. Whit Smith
    Abstract:

    Modulated backscatter is an RF transmission technique useful for short-range, low-data-rate applications constrained to have extremely low power requirements, such as electronic shelf tags, RF tags, and some sensor applications. The small-scale fading observed on the Backscattered Signal has deeper fades than a Signal from a traditional one-way link of the same range in the same environment because the fading on the Backscattered Signal is a product of the fading on the off-board generated carrier times the fading on the reflected Signal. We present the first published reports of measured cumulative distribution functions for the small-scale fading at 2.4 GHz over this type of link.

Safa Bousbih - One of the best experts on this subject based on the ideXlab platform.

  • calibration of the water cloud model at c band for winter crop fields and grasslands
    Remote Sensing, 2017
    Co-Authors: Nicolas Baghdadi, Mehrez Zribi, Mohammad El Hajj, Safa Bousbih
    Abstract:

    In a perspective to develop an inversion approach for estimating surface soil moisture of crop fields from Sentinel-1/2 data (radar and optical sensors), the Water Cloud Model (WCM) was calibrated from C-band Synthetic Aperture Radar (SAR) data and Normalized Difference Vegetation Index (NDVI) values collected over crops fields and grasslands. The soil contribution that depends on soil moisture and surface roughness (in addition to SAR instrumental parameters) was simulated using the physical backscattering model IEM (Integral Equation Model). The vegetation descriptor used in the WCM is the NDVI because it can be directly calculated from optical images. A large dataset consisting of radar Backscattered Signal in Vertical transmit and Vertical receive (VV) and Vertical transmit and Horizontal receive (VH) polarizations with wide range of incidence angle, soil moisture, surface roughness, and NDVI-values was used. It was collected over two agricultural study sites. Results show that the soil contribution to the total radar Backscattered Signal is lower in VH than in VV because VH is more sensitive to vegetation cover. Thus, the use of VH alone or in addition to VV for retrieving the soil moisture is not advantageous in presence of well-developed vegetation cover.

  • Calibration of the water cloud model at C-Band for winter crop fields and grasslands
    Remote Sensing, 2017
    Co-Authors: N. Baghdadi, Mohammad El Hajj, M. Zribi, Safa Bousbih
    Abstract:

    In a perspective to develop an inversion approach for estimating surface soil moisture of crop fields from Sentinel-1/2 data (radar and optical sensors), the Water Cloud Model (WCM) was calibrated from C-band Synthetic Aperture Radar (SAR) data and Normalized Difference Vegetation Index (NDVI) values collected over crops fields and grasslands. The soil contribution that depends on soil moisture and surface roughness (in addition to SAR instrumental parameters) was simulated using the physical backscattering model IEM (Integral Equation Model). The vegetation descriptor used in the WCM is the NDVI because it can be directly calculated from optical images. A large dataset consisting of radar Backscattered Signal in VV and VH polarizations with wide range of incidence angle, soil moisture, surface roughness, and NDVI-values was used. It was collected over two agricultural study sites. Results show that the soil contribution to the total radar Backscattered Signal is lower in VH than in VV because VH is more sensitive to vegetation cover. Thus, the use of VH alone or in addition to VV for retrieving the soil moisture is not advantageous in presence of well-developed vegetation cover.

Andrea Galtarossa - One of the best experts on this subject based on the ideXlab platform.

F Corsi - One of the best experts on this subject based on the ideXlab platform.

  • beat length characterization based on backscattering analysis in randomly perturbed single mode fibers
    Journal of Lightwave Technology, 1999
    Co-Authors: F Corsi, Andrea Galtarossa, Luca Palmieri
    Abstract:

    This paper presents analytical and numerical results on the statistical properties of the backscattering Signal of a randomly perturbed, linearly birefringent, single-mode fiber. Our theory is based on the study of amplitude evolution of the Backscattered field passed through a linear polarizer, aligned with the state of polarization of the input Signal. In particular, we show that the mean value of the beat length can be calculated using two methods based, respectively, on a level crossing rate analysis of the Backscattered Signal and on the evaluation of the standard deviation of its spectral density.

  • polarization mode dispersion characterization of single mode optical fiber using backscattering technique
    Journal of Lightwave Technology, 1998
    Co-Authors: F Corsi, Andrea Galtarossa, Luca Palmieri
    Abstract:

    This paper presents a completely new method able to characterize polarization mode dispersion (PMD) properties of randomly birefringent single-mode fibers, using polarization sensitive backscattering technique. We show analytical relationships between evolution of polarization state of Backscattered Signal with respect to state of polarization of forward one. Our technique allows one to measure differential group delay, beat length, and correlation length at the same time over long single-mode fibers using only one fiber end. Experimental data fit very well with numerical results, confirming the capability of our technique for fast routine characterization of PMD during cabling, before and after installation.

  • polarization mode dispersion characterization of single mode optical fiber using backscattering technique
    Journal of Lightwave Technology, 1998
    Co-Authors: F Corsi, Andrea Galtarossa, Luca Palmieri
    Abstract:

    This paper presents a completely new method able to characterize polarization mode dispersion (PMD) properties of randomly birefringent single-mode fibers, using polarization sensitive backscattering technique. We show analytical relationships between evolution of polarization state of Backscattered Signal with respect to state of polarization of forward one. Our technique allows one to measure differential group delay, beat length, and correlation length at the same time over long single-mode fibers using only one fiber end. Experimental data fit very well with numerical results, confirming the capability of our technique for fast routine characterization of PMD during cabling, before and after installation.