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Estimating Polarization Purity With Noise
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2024
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Source: IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-10, 2024, Art no. 2003610
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Journal Title:IEEE Transactions on Geoscience and Remote Sensing
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Description:We formulate a problem of estimating and monitoring mismatch (unwanted departure from orthogonality) of two ostensibly orthogonal polarization channels in a fully polarimetric general device such as a polarimetric weather radar. A statistical approach is proposed by using thermal noise or, more generally, a “polarimetric noise” class of sources. The suitable noise class of distributions is shown to be rooted in the complex multivariate Gaussian probability density function (pdf), the latter possessing a uniform pdf on the Poincare sphere (PS), with a probability measure given by a fractional surface area. To that end, we develop a parameter to estimate polarization purity. By relating an inner (dot) product of noisy electric fields to their cross-correlation coefficient, we arrive at a simple relation between the ellipticity δϵ and tilt δτ mismatches and the measured complex voltage cross-correlation coefficient ρ : ρ≈∓cos(2ϵ)δτ±iδϵ . Our results are confirmed by Monte Carlo simulations. Thermal noise microwave data collected by the S-band radar of the National Center for Atmospheric Research (NCAR) during solar calibration scans is used to set bounds on δϵ and δτ , thereby characterizing polarization purity.
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Source:IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-10, 2024, Art no. 2003610
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Rights Information:CC BY-NC-ND
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Compliance:Submitted
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